It is a nptel course pdf made available here from its official nptel website . Its full credit goes to nptel itself . I am just sharing it here as i thought it would help someone in need of it . It is a course of INTRODUCTION TO ADVANCED COGNITIVE PROCESSES
It is a nptel course pdf made available here from its official nptel website . Its full credit goes to nptel itself . I am just sharing it here as i thought it would help someone in need of it . It is a course of INTRODUCTION TO ADVANCED COGNITIVE PROCESSES
It is a nptel course pdf made available here from its official nptel website . Its full credit goes to nptel itself . I am just sharing it here as i thought it would help someone in need of it . It is a course of INTRODUCTION TO ADVANCED COGNITIVE PROCESSES
This document discusses cognitive and emotional decision-making processes related to personal moral dilemmas. It describes two classic moral dilemmas known as the trolley problem and the footbridge problem, and how people respond differently to each. It then discusses how cognitive neuroscience research has examined brain activity in areas like the dorsal lateral prefrontal cortex (DLPFC) and ventromedial prefrontal cortex (VMPFC) during such dilemmas. Studies have found the DLPFC is more active for those making "utilitarian" decisions focused on outcomes, while damage to the VMPFC reduces emotional responses and leads to more utilitarian judgments. The document examines how these areas relate to emotional vs cognitive processing in moral dilemmas.
It is a nptel course pdf made available here from its official nptel website . Its full credit goes to nptel itself . I am just sharing it here as i thought it would help someone in need of it . It is a course of INTRODUCTION TO ADVANCED COGNITIVE PROCESSES
It is a nptel course pdf made available here from its official nptel website . Its full credit goes to nptel itself . I am just sharing it here as i thought it would help someone in need of it . It is a course of INTRODUCTION TO ADVANCED COGNITIVE PROCESSES
1. The document discusses lifespan development of memory across different ages and stages. It examines how memory develops from infancy through adulthood and old age.
2. Research shows that infants as young as 3 days can distinguish their mother's face from others, and 1-2 week old infants can recognize their mother's voice. Studies also indicate infants as young as 6 months can form associations and memories.
3. As children age, their working memory span increases dramatically, impacting their abilities in areas like reading and math. While children have good recognition memory, their recall memory is poorer than recognition.
Do this to manifest faster dr. joe dispenza AminaSami2
Dr. Joe Dispenza discusses techniques for manifesting faster by utilizing the brain's suggestible states in the morning and evening. He explains that people typically wake up thinking about problems from the past, which triggers negative emotions and reinforces old identities. Instead, he recommends taking time in the morning to visualize the future self you want to become through affirmations and mental rehearsal. This installs new neural pathways that can begin to shape one's reality if the new state is maintained throughout the day. Regular meditation is key to becoming familiar with unconscious thoughts and habits so one is no longer controlled by the past, but can create from a place of presence and possibility.
The document discusses the psychological concepts of emotions, false memories, and long-term memory as explored in the movie Inside Out. It describes how different emotions like joy, sadness, anger, fear and disgust are represented by characters in the movie and how they influence the main character Riley's memories and experiences after she moves to a new home. When some of the emotion characters are separated from Riley's headquarters, it affects her emotions and ability to enjoy her new environment. The concept of false memories is also prominent in the movie and demonstrates how memories can become distorted over time.
It is a nptel course pdf made available here from its official nptel website . Its full credit goes to nptel itself . I am just sharing it here as i thought it would help someone in need of it . It is a course of INTRODUCTION TO ADVANCED COGNITIVE PROCESSES
It is a nptel course pdf made available here from its official nptel website . Its full credit goes to nptel itself . I am just sharing it here as i thought it would help someone in need of it . It is a course of INTRODUCTION TO ADVANCED COGNITIVE PROCESSES
This document discusses cognitive and emotional decision-making processes related to personal moral dilemmas. It describes two classic moral dilemmas known as the trolley problem and the footbridge problem, and how people respond differently to each. It then discusses how cognitive neuroscience research has examined brain activity in areas like the dorsal lateral prefrontal cortex (DLPFC) and ventromedial prefrontal cortex (VMPFC) during such dilemmas. Studies have found the DLPFC is more active for those making "utilitarian" decisions focused on outcomes, while damage to the VMPFC reduces emotional responses and leads to more utilitarian judgments. The document examines how these areas relate to emotional vs cognitive processing in moral dilemmas.
It is a nptel course pdf made available here from its official nptel website . Its full credit goes to nptel itself . I am just sharing it here as i thought it would help someone in need of it . It is a course of INTRODUCTION TO ADVANCED COGNITIVE PROCESSES
It is a nptel course pdf made available here from its official nptel website . Its full credit goes to nptel itself . I am just sharing it here as i thought it would help someone in need of it . It is a course of INTRODUCTION TO ADVANCED COGNITIVE PROCESSES
1. The document discusses lifespan development of memory across different ages and stages. It examines how memory develops from infancy through adulthood and old age.
2. Research shows that infants as young as 3 days can distinguish their mother's face from others, and 1-2 week old infants can recognize their mother's voice. Studies also indicate infants as young as 6 months can form associations and memories.
3. As children age, their working memory span increases dramatically, impacting their abilities in areas like reading and math. While children have good recognition memory, their recall memory is poorer than recognition.
Do this to manifest faster dr. joe dispenza AminaSami2
Dr. Joe Dispenza discusses techniques for manifesting faster by utilizing the brain's suggestible states in the morning and evening. He explains that people typically wake up thinking about problems from the past, which triggers negative emotions and reinforces old identities. Instead, he recommends taking time in the morning to visualize the future self you want to become through affirmations and mental rehearsal. This installs new neural pathways that can begin to shape one's reality if the new state is maintained throughout the day. Regular meditation is key to becoming familiar with unconscious thoughts and habits so one is no longer controlled by the past, but can create from a place of presence and possibility.
The document discusses the psychological concepts of emotions, false memories, and long-term memory as explored in the movie Inside Out. It describes how different emotions like joy, sadness, anger, fear and disgust are represented by characters in the movie and how they influence the main character Riley's memories and experiences after she moves to a new home. When some of the emotion characters are separated from Riley's headquarters, it affects her emotions and ability to enjoy her new environment. The concept of false memories is also prominent in the movie and demonstrates how memories can become distorted over time.
- The document discusses applying the Nyquist stability criterion using the mapping theorem to determine closed-loop stability.
- It establishes that for closed-loop stability, the contour mapped from the open-loop transfer function in the s-plane should encircle the origin P times in the counterclockwise direction in the closed-loop transfer function plane, where P is the number of open-loop poles within the contour.
- Subtracting 1 from the closed-loop transfer function shifts the corresponding contour in the open-loop transfer function plane, such that the number of encirclements of the origin in the closed-loop plane equals the number of encirclements of the point -1 in the open
This document discusses the Nyquist stability criterion and the mapping theorem.
[1] The mapping theorem states that a closed contour in the s-plane maps to a corresponding closed contour in the F(s)-plane, where F(s) is a ratio of polynomials. The number of clockwise encirclements of the origin in the F(s)-plane equals Z - P, where Z is the number of zeros and P is the number of poles of F(s) inside the s-plane contour.
[2] An example function F(s) with two zeros and two poles is analyzed. A closed contour in the s-plane maps to a closed contour in the F(s)-plane
1) The document discusses the Nyquist stability criteria, which uses the Nyquist plot of the open loop transfer function G(s)H(s) to determine the stability of the closed loop system.
2) The poles of the closed loop characteristic equation 1 + G(s)H(s) are called the open loop poles. The zeros are called the closed loop poles.
3) The key question is whether the Nyquist plot of the open loop transfer function G(s)H(s) can be used to comment on the stability of the closed loop system. The answer is yes, based on the mapping theorem.
- The document discusses constructing the Nyquist plot for a transfer function of the form s plus 1 divided by s plus 10.
- It is shown that the Nyquist plot for this transfer function is a semicircle in the first quadrant of the complex plane, with a center of 0.55 and radius of 0.45.
- The maximum phase angle of the transfer function occurs at the point where a tangent can be drawn to the semicircle, which is calculated to be 54.9 degrees using trigonometric relationships between the radius and tangent length.
1) The document discusses Nyquist plots for various transfer functions, including time delay and second order systems.
2) A time delay transfer function results in a unit circle Nyquist plot, where the phase shifts from 0 to -Tdω as ω goes from 0 to infinity.
3) For a second order system, the Nyquist plot takes the shape of an arc that starts at 1 and ends at 1 as ω goes from 0 to infinity, cutting the imaginary axis when ω equals the natural frequency ωn.
The document discusses an upcoming lecture on Nyquist plots. It begins by reviewing frequency response and bode plots. It then introduces Nyquist plots, explaining that they visualize the sinusoidal transfer function G(jω) by plotting its real and imaginary parts in the complex plane, known as the G(s) plane, as ω varies from 0 to infinity. Examples are given of plotting common transfer functions like 1/s, s, and 1/(Ts+1) on the Nyquist plane. Critical points like ω→0, ω=1/T, and ω→∞ are identified. The lecturer indicates they will demonstrate how to construct Nyquist plots and identify differences from bode plots.
- The professor discusses plotting the phase plot for a transfer function containing multiple factors. He calculates the phase contributions of each factor at different frequencies and plots the individual phase plots.
- To plot the overall phase plot of the transfer function, he calculates the total phase at two corner frequencies and connects them with a smooth curve. This results in a phase plot that transitions from 90 degrees to -90 degrees over the different frequency ranges.
- He explains that the bode plot can be used to experimentally determine an unknown transfer function by measuring the input-output magnitude and phase responses at different frequencies.
1. The document discusses constructing the Bode plot of a transfer function step-by-step using an example transfer function of s/(s+1)*(s+10).
2. The transfer function is rewritten as a product of four factors: 0.1s, s, 1/(s+1), and 1/(0.1s+1). The Bode plots of the individual factors are constructed and then combined.
3. The Bode plot consists of a line with a slope of +20 dB/decade from the s term, shifted down by -20 dB from the 0.1 term. Below the first corner frequency of 1 rad/s, this represents the combined low-frequency
This document is a transcript of a lecture on bode plots. The professor discusses drawing bode plots for second order transfer functions with different damping ratios. He draws the magnitude and phase plots, explaining how the resonant peak shifts left as damping increases. For undamped systems, he notes the magnitude would blow up to infinity at the natural frequency. He also discusses minimum phase and non-minimum phase systems, explaining how their phase plots differ at high frequencies. He leaves questions for students to think about generalizing these concepts to higher order systems and using bode plots to determine system properties.
- The document discusses the bode plot of a second-order transfer function.
- It shows that the high frequency asymptote has a slope of -40 dB/decade and intersects the low frequency asymptote at the natural frequency ωn, which is also the corner frequency.
- The magnitude of the transfer function reaches its maximum value at a frequency where the derivative of the denominator term is zero, which occurs at ω = ωn/√(1-2ζ^2).
This document discusses the magnitude and phase plots of first-order transfer functions. It begins by deriving the phase plot of 1/(Ts+1), showing that the phase approaches 0 degrees at low frequencies, -45 degrees at the corner frequency 1/T, and -90 degrees at high frequencies. It then derives the corresponding magnitude plot, showing it has the characteristics of a low-pass filter with a cutoff frequency of 1/T. Finally, it briefly discusses the magnitude and phase plots of the reciprocal transfer function T(s+1), showing the magnitude plot has a high-frequency asymptote of 20log(Tω) rather than -20log(Tω) as with 1/(Ts+1).
The document discusses Bode plots and frequency response analysis. It introduces the first-order transfer function 1/(Ts+1) as a new factor to analyze. The magnitude and phase expressions for this factor are derived. It is explained that the magnitude plot has low and high frequency asymptotes. The low frequency asymptote is 0 dB as the magnitude tends to 1 at low frequencies compared to 1/T. The high frequency asymptote is -20log(Tω) dB as the magnitude tends to 1/Tω at high frequencies. It is noted that the asymptotes intersect at the corner/break frequency of 1/T, where the responses change behavior.
- The document discusses bode plots and how to construct them for different transfer functions.
- It provides an example of constructing the bode plot for a transfer function G(s) = 1/s, showing that the magnitude plot is a straight line with a slope of -20 dB/decade and the phase plot is a horizontal line at -90 degrees.
- It then constructs the bode plot for a transfer function G(s) = s, finding that the magnitude plot has a slope of +20 dB/decade and the phase plot is a horizontal line at +90 degrees.
The document discusses Bode plots, which are used to visualize the frequency response of linear time-invariant systems. It begins by reviewing frequency response and how it characterizes the steady-state output of a system to a sinusoidal input.
It then introduces Bode plots, which have two components - a magnitude plot and a phase plot. The magnitude plot uses logarithmic scales for both frequency and magnitude in decibels. The phase plot uses a logarithmic scale for frequency and a linear scale for phase in degrees. Using logarithmic scales allows visualization of a wide range of frequencies and magnitudes on the same plot.
The document outlines common building blocks that comprise transfer functions, such as constants, integrals, derivatives, and
1) The professor derives that for a stable linear time-invariant system with a sinusoidal input, the steady state output will be a sinusoid of the same frequency as the input.
2) The steady state output magnitude is scaled by the magnitude of the system's transfer function evaluated at jω, and the phase is shifted by the phase of the transfer function evaluated at jω.
3) This property allows the experimental determination of a system's transfer function by analyzing the steady state response to various sinusoidal inputs.
- The document discusses frequency response analysis of control systems.
- It begins by reviewing state space representation and relating transfer functions to state matrices. Two homework problems are assigned involving checking these relationships for a mass-spring-damper system.
- The lecture then introduces frequency response, which analyzes the response of a system to a sinusoidal input. It considers providing a sinusoidal input u(t) to a stable linear time-invariant system and derives the output y(t). This lays the foundation for discussing how frequency response can be used for control design.
The document discusses the state space representation of linear time-invariant (LTI) systems. It provides the following key points:
1. The state space representation of a single-input single-output (SISO) LTI system is given by x ̇(t) = Ax(t) + bu(t) and y(t) = cx(t) + du(t), where x(t) is the state vector, u(t) is the input, y(t) is the output, and A, b, c, d are matrices that characterize the system.
2. For multiple-input multiple-output systems, u(t) and y(t) become
This document provides an introduction to state space representation of dynamic systems. It begins by stating that state space representation is an alternative to transfer function representation that allows analysis in the time domain rather than complex domain. It then uses the example of a mass-spring-damper system to illustrate the key steps: 1) Select state variables (here displacement and velocity), 2) Write first-order differential equations for each state variable based on the system model, 3) Collect the equations into matrix form allowing analysis with linear algebra tools. The representation allows rewriting a higher-order differential equation as a set of first-order equations.
This document summarizes a lecture on control system design using root locus analysis. The professor discusses plotting the root locus for a specific system and using it to determine the range of proportional gain (KP) that ensures both closed-loop stability and desired performance. By substituting values into the closed-loop characteristic equation, they determine that KP must be between 8 and 35.76 to satisfy both conditions. They also note that choosing KP between 12.5 and 35.76 would result in an underdamped second order system, as desired. As homework, students are asked to plot the root locus for negative values of KP to gain more experience with root locus analysis.
- The document summarizes the process of designing a controller for a gear transmission system to satisfy stability and performance requirements.
- It describes deriving the plant transfer function, choosing an initial proportional controller, and analyzing the closed-loop stability and performance using root locus analysis.
- Key steps include determining the regions of the real axis on the root locus, identifying asymptotes, and finding a potential breakaway point at -5 where the controller gain is 12.5.
Covey says most people look for quick fixes. They see a big success and want to know how he did it, believing (and hoping) they can do the same following a quick bullet list.
But real change, the author says, comes not from the outside in, but from the inside out. And the most fundamental way of changing yourself is through a paradigm shift.
That paradigm shift is a new way of looking at the world. The 7 Habits of Highly Effective People presents an approach to effectiveness based on character and principles.
The first three habits indeed deal with yourself because it all starts with you. The first three habits move you from dependence from the world to the independence of making your own world.
Habits 4, 5 and 6 are about people and relationships. The will move you from independence to interdependence. Such, cooperating to achieve more than you could have by yourself.
The last habit, habit number 7, focuses on continuous growth and improvement.
- The document discusses applying the Nyquist stability criterion using the mapping theorem to determine closed-loop stability.
- It establishes that for closed-loop stability, the contour mapped from the open-loop transfer function in the s-plane should encircle the origin P times in the counterclockwise direction in the closed-loop transfer function plane, where P is the number of open-loop poles within the contour.
- Subtracting 1 from the closed-loop transfer function shifts the corresponding contour in the open-loop transfer function plane, such that the number of encirclements of the origin in the closed-loop plane equals the number of encirclements of the point -1 in the open
This document discusses the Nyquist stability criterion and the mapping theorem.
[1] The mapping theorem states that a closed contour in the s-plane maps to a corresponding closed contour in the F(s)-plane, where F(s) is a ratio of polynomials. The number of clockwise encirclements of the origin in the F(s)-plane equals Z - P, where Z is the number of zeros and P is the number of poles of F(s) inside the s-plane contour.
[2] An example function F(s) with two zeros and two poles is analyzed. A closed contour in the s-plane maps to a closed contour in the F(s)-plane
1) The document discusses the Nyquist stability criteria, which uses the Nyquist plot of the open loop transfer function G(s)H(s) to determine the stability of the closed loop system.
2) The poles of the closed loop characteristic equation 1 + G(s)H(s) are called the open loop poles. The zeros are called the closed loop poles.
3) The key question is whether the Nyquist plot of the open loop transfer function G(s)H(s) can be used to comment on the stability of the closed loop system. The answer is yes, based on the mapping theorem.
- The document discusses constructing the Nyquist plot for a transfer function of the form s plus 1 divided by s plus 10.
- It is shown that the Nyquist plot for this transfer function is a semicircle in the first quadrant of the complex plane, with a center of 0.55 and radius of 0.45.
- The maximum phase angle of the transfer function occurs at the point where a tangent can be drawn to the semicircle, which is calculated to be 54.9 degrees using trigonometric relationships between the radius and tangent length.
1) The document discusses Nyquist plots for various transfer functions, including time delay and second order systems.
2) A time delay transfer function results in a unit circle Nyquist plot, where the phase shifts from 0 to -Tdω as ω goes from 0 to infinity.
3) For a second order system, the Nyquist plot takes the shape of an arc that starts at 1 and ends at 1 as ω goes from 0 to infinity, cutting the imaginary axis when ω equals the natural frequency ωn.
The document discusses an upcoming lecture on Nyquist plots. It begins by reviewing frequency response and bode plots. It then introduces Nyquist plots, explaining that they visualize the sinusoidal transfer function G(jω) by plotting its real and imaginary parts in the complex plane, known as the G(s) plane, as ω varies from 0 to infinity. Examples are given of plotting common transfer functions like 1/s, s, and 1/(Ts+1) on the Nyquist plane. Critical points like ω→0, ω=1/T, and ω→∞ are identified. The lecturer indicates they will demonstrate how to construct Nyquist plots and identify differences from bode plots.
- The professor discusses plotting the phase plot for a transfer function containing multiple factors. He calculates the phase contributions of each factor at different frequencies and plots the individual phase plots.
- To plot the overall phase plot of the transfer function, he calculates the total phase at two corner frequencies and connects them with a smooth curve. This results in a phase plot that transitions from 90 degrees to -90 degrees over the different frequency ranges.
- He explains that the bode plot can be used to experimentally determine an unknown transfer function by measuring the input-output magnitude and phase responses at different frequencies.
1. The document discusses constructing the Bode plot of a transfer function step-by-step using an example transfer function of s/(s+1)*(s+10).
2. The transfer function is rewritten as a product of four factors: 0.1s, s, 1/(s+1), and 1/(0.1s+1). The Bode plots of the individual factors are constructed and then combined.
3. The Bode plot consists of a line with a slope of +20 dB/decade from the s term, shifted down by -20 dB from the 0.1 term. Below the first corner frequency of 1 rad/s, this represents the combined low-frequency
This document is a transcript of a lecture on bode plots. The professor discusses drawing bode plots for second order transfer functions with different damping ratios. He draws the magnitude and phase plots, explaining how the resonant peak shifts left as damping increases. For undamped systems, he notes the magnitude would blow up to infinity at the natural frequency. He also discusses minimum phase and non-minimum phase systems, explaining how their phase plots differ at high frequencies. He leaves questions for students to think about generalizing these concepts to higher order systems and using bode plots to determine system properties.
- The document discusses the bode plot of a second-order transfer function.
- It shows that the high frequency asymptote has a slope of -40 dB/decade and intersects the low frequency asymptote at the natural frequency ωn, which is also the corner frequency.
- The magnitude of the transfer function reaches its maximum value at a frequency where the derivative of the denominator term is zero, which occurs at ω = ωn/√(1-2ζ^2).
This document discusses the magnitude and phase plots of first-order transfer functions. It begins by deriving the phase plot of 1/(Ts+1), showing that the phase approaches 0 degrees at low frequencies, -45 degrees at the corner frequency 1/T, and -90 degrees at high frequencies. It then derives the corresponding magnitude plot, showing it has the characteristics of a low-pass filter with a cutoff frequency of 1/T. Finally, it briefly discusses the magnitude and phase plots of the reciprocal transfer function T(s+1), showing the magnitude plot has a high-frequency asymptote of 20log(Tω) rather than -20log(Tω) as with 1/(Ts+1).
The document discusses Bode plots and frequency response analysis. It introduces the first-order transfer function 1/(Ts+1) as a new factor to analyze. The magnitude and phase expressions for this factor are derived. It is explained that the magnitude plot has low and high frequency asymptotes. The low frequency asymptote is 0 dB as the magnitude tends to 1 at low frequencies compared to 1/T. The high frequency asymptote is -20log(Tω) dB as the magnitude tends to 1/Tω at high frequencies. It is noted that the asymptotes intersect at the corner/break frequency of 1/T, where the responses change behavior.
- The document discusses bode plots and how to construct them for different transfer functions.
- It provides an example of constructing the bode plot for a transfer function G(s) = 1/s, showing that the magnitude plot is a straight line with a slope of -20 dB/decade and the phase plot is a horizontal line at -90 degrees.
- It then constructs the bode plot for a transfer function G(s) = s, finding that the magnitude plot has a slope of +20 dB/decade and the phase plot is a horizontal line at +90 degrees.
The document discusses Bode plots, which are used to visualize the frequency response of linear time-invariant systems. It begins by reviewing frequency response and how it characterizes the steady-state output of a system to a sinusoidal input.
It then introduces Bode plots, which have two components - a magnitude plot and a phase plot. The magnitude plot uses logarithmic scales for both frequency and magnitude in decibels. The phase plot uses a logarithmic scale for frequency and a linear scale for phase in degrees. Using logarithmic scales allows visualization of a wide range of frequencies and magnitudes on the same plot.
The document outlines common building blocks that comprise transfer functions, such as constants, integrals, derivatives, and
1) The professor derives that for a stable linear time-invariant system with a sinusoidal input, the steady state output will be a sinusoid of the same frequency as the input.
2) The steady state output magnitude is scaled by the magnitude of the system's transfer function evaluated at jω, and the phase is shifted by the phase of the transfer function evaluated at jω.
3) This property allows the experimental determination of a system's transfer function by analyzing the steady state response to various sinusoidal inputs.
- The document discusses frequency response analysis of control systems.
- It begins by reviewing state space representation and relating transfer functions to state matrices. Two homework problems are assigned involving checking these relationships for a mass-spring-damper system.
- The lecture then introduces frequency response, which analyzes the response of a system to a sinusoidal input. It considers providing a sinusoidal input u(t) to a stable linear time-invariant system and derives the output y(t). This lays the foundation for discussing how frequency response can be used for control design.
The document discusses the state space representation of linear time-invariant (LTI) systems. It provides the following key points:
1. The state space representation of a single-input single-output (SISO) LTI system is given by x ̇(t) = Ax(t) + bu(t) and y(t) = cx(t) + du(t), where x(t) is the state vector, u(t) is the input, y(t) is the output, and A, b, c, d are matrices that characterize the system.
2. For multiple-input multiple-output systems, u(t) and y(t) become
This document provides an introduction to state space representation of dynamic systems. It begins by stating that state space representation is an alternative to transfer function representation that allows analysis in the time domain rather than complex domain. It then uses the example of a mass-spring-damper system to illustrate the key steps: 1) Select state variables (here displacement and velocity), 2) Write first-order differential equations for each state variable based on the system model, 3) Collect the equations into matrix form allowing analysis with linear algebra tools. The representation allows rewriting a higher-order differential equation as a set of first-order equations.
This document summarizes a lecture on control system design using root locus analysis. The professor discusses plotting the root locus for a specific system and using it to determine the range of proportional gain (KP) that ensures both closed-loop stability and desired performance. By substituting values into the closed-loop characteristic equation, they determine that KP must be between 8 and 35.76 to satisfy both conditions. They also note that choosing KP between 12.5 and 35.76 would result in an underdamped second order system, as desired. As homework, students are asked to plot the root locus for negative values of KP to gain more experience with root locus analysis.
- The document summarizes the process of designing a controller for a gear transmission system to satisfy stability and performance requirements.
- It describes deriving the plant transfer function, choosing an initial proportional controller, and analyzing the closed-loop stability and performance using root locus analysis.
- Key steps include determining the regions of the real axis on the root locus, identifying asymptotes, and finding a potential breakaway point at -5 where the controller gain is 12.5.
Covey says most people look for quick fixes. They see a big success and want to know how he did it, believing (and hoping) they can do the same following a quick bullet list.
But real change, the author says, comes not from the outside in, but from the inside out. And the most fundamental way of changing yourself is through a paradigm shift.
That paradigm shift is a new way of looking at the world. The 7 Habits of Highly Effective People presents an approach to effectiveness based on character and principles.
The first three habits indeed deal with yourself because it all starts with you. The first three habits move you from dependence from the world to the independence of making your own world.
Habits 4, 5 and 6 are about people and relationships. The will move you from independence to interdependence. Such, cooperating to achieve more than you could have by yourself.
The last habit, habit number 7, focuses on continuous growth and improvement.
ProSocial Behaviour - Applied Social Psychology - Psychology SuperNotesPsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
Aggression - Applied Social Psychology - Psychology SuperNotesPsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
Understanding of Self - Applied Social Psychology - Psychology SuperNotesPsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
Understanding of Self - Applied Social Psychology - Psychology SuperNotes
Lec32
1. Advanced Cognitive Processes
Dr. Ark Verma
Department of Humanities and Social Sciences
Indian Institute of Technology, Kanpur
Lecture – 32
Cognition and Emotion – II
Keywords: Emotional events, Amygdala activation, meta analysis, flash bulb
memory, recovered memories.
Hello and welcome to the course introduction to advanced cognitive processes I am Ark
Verma from IIT Kanpur and we are in the 7th week of the course. We started this week
talking about the interaction between cognition and emotion, we are trying to link the
effects of emotional states, mood states on attention and memory and we have been
talking about those things. We will continue our discussion about the same kind of
interaction today as well. So, one of the important kinds of memories that people harbor
or people come across are refer to as the Flashbulb memory.
(Refer Slide Time: 00:47)
Flashbulb memories are memories for events that are you know highly dramatic or
highly positively you know life changing events. So, most people you know we will tell
you that they have a very good memory for the time of their lives when they were going
through dramatic events, say for example, dramatic events in the world at large say for
example, 9/11 for the United States or 26/11 for India or say for example, you know
winning of the in 2011 world cup I mean both kinds of positive or negative dramatic
2. events and people would remember things like you know the assassination of Rajiv
Gandhi for that matter or so many different things.
So, a lot of people will tell you like you know I remember these, I remember information
around these events rather vividly and they show you a high degree of confidence in
these kind of things. So, this is, these kinds of the memories, for these kind of events this
kind of dramatic events both positive and negative is a referred to as flashbulb memories
you know these events are also I have talked about this in a memory chapter in the other
course a lot. So, I will this kind of you know revise that a little bit for people.
So, you know these kind of events that happen at the time of your life when significant
changes are coming things like you know where the point when you got your first job,
the point when you got married, what were your mental condition at that point denying
what was happening around you. So, the idea is in individual lives as well or in broadly
as I was mentioning 9/11, 26/11 you know assassination of Rajiv Gandhi if and those
kind of things people tend to have better memory for these events.
So, Brown and Kulik they basically in 1997 they proposed that dramatic events that are
surprising have genuine consequences and they these genuine consequences have in
individual trigger, they basically trigger a special kind of a neural mechanism and this
neutral mechanism what it does is it prints the details of such events in a more or less
permanent sort of a manner in your head. So, the idea is they are saying Brown and
Kulik are saying that these events because they are so high in significance they are kind
of automatically affecting the way you are going to encode this information and this
encoding is basically going to stay there for almost your entire life, but this proposal has
been cross viewed and cross examined.
3. (Refer Slide Time: 03:16)
So, Talalrico and Rubin in 2009 rather recently and they reviewed a lot of research on
flashbulb memories and they concluded that nothing very special about the flashbulb
memories in particular in terms of the underlying processing that is going on in the brain.
So, maybe this individual trigger that you know the Brown and Kulik are talking about is
not really happening there, in terms at least in terms of neural processes.
Flashbulb memory is seem especially vivid because they typically refer to these
distinctive events and sometimes suffer so little, interference from other memories
because these are standout events, you know they are not things that you can easily mix
up with other kinds of memories, also one of the things and I have talked about this
earlier as well also, one of the things about flashbulb memories is that you kind of keep
hearing and rehearing them again and again.
Suppose for example, you know significant event happens today and next day it is in the
news the other day, it is in you know some parallel debates somebody is discussing about
that you go to your school or college, workplace, your colleagues and friends are talking
about it you come back you kind of telling your family about it a little bit. So, the idea is
these kind of things also this, this revision is rehearsal that multiple repetitive rehearsal
that is going on might also be affecting how you are kind of encoding these things.
4. (Refer Slide Time: 04:36)
So, flashbulb memories in that sense are important and they are certainly special
memories that people keep on and the people show a better recall at least for a long time.
Now, let me talked about a different kind of memories, recovered memories. If you have
read any of the literature you know from Sigmund Freud or if you want to really kind of
get a peek into this you can go to the earlier course when I have talked about the history
of psychology Sigmund Freud was one of the most influential psychologists you know
and one of the things that he talked about persistently was the effects of you know major
dramatic events like childhood sexual abuse you know and those kind of things and the
kind of memories that are generated by that the idea is that those memories would scar in
individual for life.
So, Freud had a different kind of a take with this and he suggested that these kind of
memories, the memories for dramatic events often you know cannot be consciously
recalled in your adult life because these have been repressed suppressed and in some
sense your it ego and you know in some sense your thing is you know is trying to protect
you against these things.
So, the idea is that these memories for dramatic events to a subjected to what is referred
to as motivated forgetting and they are relegated to the unconscious mind, you remember
Freud talks about that there is you know the conscious mind, subconscious mind and
5. unconscious mind. So, they are saying unconscious mind is the depths of your head and
that is where these unpleasant information have been locked down and sent off.
But it has been intermittently reported that you know sometimes in their adult lives
people suddenly remember these memories, suddenly they recover these kind of
memories the repression is kind of loosened and something triggers the recall of such
memories you know. So, these memories which were repressed earlier and they kind of,
suddenly come back are what is referred to as the recovered memories.
So, the notion of recovered memories has been rather controversial because a lot of
researchers have said that this might not really be real memories after all. These might be
memories that basically are false memories you know and sometimes are even referring
to events that actually did not happen and you kind of you know the people, who are
dealing with these recovered memories are kind of ambiguous because they did not
remember anything like this happened in their own lives for a such a long time and
suddenly the, they are the kind of get these flashback suddenly they get this knowledge
that this might also have happened.
But there is; obviously, a great doubt in detail, great debate between whether these record
memories are genuine or not. So, that there could be a way to really talk about this whole
life.
(Refer Slide Time: 07:31)
6. And fell to which they basically in a study on adult patients admitted when they showed
that a lot of patients admitted having false memories 80 percent of their cases the
therapist has suggested to them you know suggested to them that they had been victims
of childhood sexual abuse etcetera and what these people probably did is consciously or
subconsciously reconstructed events where something might like that might have
happened even though in reality some nothing of that sort might have happened.
So, again you know these kind of therapeutic things might kind have a different kind of
consequences as well. Now Geraerts and colleagues in 2007 they wanted to check the
genuineness of these you know recovered memories and so they had 3 groups of patients
they had patients who had reported recovered memories while they were in therapy while
they were in contact with the psychologists and we were having these therapeutic
sessions.
And they had another group who said that they had recovered these memories outside
therapy they were not taking any therapy it was not suggested by anybody, but they
suddenly themselves started recalling these kind of things and then there was a third
group a continuous you know memory group which basically had all of these memories
throughout their life. So, they had not never really forgotten that anyways.
(Refer Slide Time: 08:57)
So, the 3 groups over there and Geraerts basically, Geraerts and colleagues they basically
you know wanted to get and approximate measure of the genuineness of whatever
7. memories these people have been reporting and they basically asked them to provide
corroborating evidence. So, this is what happened in your life can you give us some
supporting evidence by you know way of dates names people you know who kind of
confirm your account those kind of things. So, they asked these people to come up with
corroborating evidence about these particular memories.
Now a very interesting thing happens. So while the continuous memory group;
obviously, because, they have not even forgotten these things could provide most 45
percent of the evidence, the outside therapy group would also give kind of comparable
evidence around 37 - 38 percent, but most interestingly the group that had reported
recovering these memories inside therapy could not come up with a single evidence
shade.
So, the idea is probably what is happening with these people is that when they are in
therapy, they are in a highly suggestible state and this person in a position of power here
the psychologist is suggesting that if you know that I think your problems are because
you were you know sexually abused in your childhood or somebody has mistreated you
and those kind of things and a lot of times what happens is these suggestions lead to
formation of memories you know the human mind is a rather constructive.
We have talked about constructive effects of memory at length in one of the courses of
you want to really refer back go back to the last course and kind of go through the
memory lectures I have talked about these things, but the idea is what is happening with
these reconstruct recovered memories is probably the people are reporting you know are
just kind of constructing them because of high suggestibility.
8. (Refer Slide Time: 10:41)
Now even though Freud basically suggested that memories recovered outside therapy
could return as repressed memories because they are dramatic memories Clancy and
McNally in 2005 and 6 they found that a great majority of adults who reported recovered
memories described them as confusing or uncomfortable, but none of them all or only a
very few 8 percent of them described them as being dramatic. So, I mean again that that
came also does not really hold a lot of water.
Now, in alternative explanation could be that most spontaneously recovered memories
happen because they are they might have been recalled because of some environmental
cues something visiting the same place where something might have happened or
meeting the same person after 10 20 30 years those kind of cues might be used to bring
back these kind of memories so, that is a very important aspect.
Clancy and McNally basically you reported support for this kind of explanation and the
kind of reported that yes participants did to report that these memories were recovered
because they were doing something or they were engaging with information that could
have acted as cue. So, that is a little bit about the recovered memories. Now, let us move
on to a different topic let us move on to a memories and the emotions and what the brain
has to do with it.
9. (Refer Slide Time: 11:58)
So, a strong effects of emotion on memory have been mediated I mean they are certainly
mediated by several of the regions of the brain that deal with you know emotional
appraisal expression and comprehension, but most important organ and the most
important area of the brain in perceiving emotions is the amygdala.
Now the amygdala is buried in the front part of the temporal lobe and is associated with
several emotions processing. So, what is happen is, one of the reasons being that it acts
as a hub. So, one of the reasons why amygdala might be so, important in perception and
computation of emotions is that amygdala acts as a hub for numerous connections to
different kinds of brain regions and it has connections to up to 90 percent of the entire
cortex.
10. (Refer Slide Time: 12:50)
Now there is already lot of evidence about the fact that amygdala is you know much
involved in our processing of emotional stimuli. For example, suslow and colleagues in
2010, they presented pictures of happy and sad faces to participants in such a way that
they could not have been consciously seen, they would presented for a very short
duration, in spite of not being consciously accessible these pictures of sad and happy
expressions did activate the amygdala and activations of amygdala were recorded so, that
is one part.
Patient suffering from depression were found to have greater amygdala activity to sad
faces than to happy ones whereas, healthy control showed more amygdala activity to
happy face then sad one. So, you know the kind of emotion that is processing or that is
relevant to you that you are kind of paying more attention to is showing greater
amygdala activity. So, both of the groups of the participants are showing greater
amygdala activations to you know faces or expressions that are matching their current
mood state. Again kind of confirms the MSBM and MCM kind of things we are talking
about.
11. (Refer Slide Time: 13:52)
Now, one of the ways to show that amygdala plays a very important part in determining
long-term memory for emotional material could be to show that the amygdala is
important for learning of such materials. So, if you can show that you know during the
learning of such kind of a material amygdala activation is there, during the encoding
such material amygdala activation is there, then whether recall is happening and again
you find similar amygdala activation when you can kind of link these 2 things very
keenly.
So, a relative prediction could be that you know emotional items being remembered will
be greater you know will be greater when they are associated with high levels of
amygdala activity at the time of learning. This is precisely what happens in Murty and
colleagues 2010 study, they conducted a meta analysis that they are not really conducting
experiment study they kind of collected conducted a meta analysis of several studies and
they did obtain support for the prediction. Good long term memory for emotional
material was associated with higher activation at the time of learning, in the network of
brain regions including amygdala and other parts of the temporal lobe that are involved
with memory.
12. (Refer Slide Time: 15:04)
Other kind of research has suggested that the effects of being in an emotional state at the
time of learning are specially great on subjective vividness you know the amount of
detail that you will recall if you are in a particular kind of emotional state might be very
interesting might be too much.
So, Kensinger and colleagues in 2011 they assessed amygdala activities while
participants studied emotional and neutral objects you know things that have some
emotional value and then again neutral objects. Amygdala activity at learning predicted
the vividness of recall you know the kind of details they would be able to come up with
for these kind of objects, but did not really predict the number of details, but the
vividness how clearly how confidently you are, you are remembering about these things.
I would talk about interesting disease the Urbach – Wiethe Disease.
13. (Refer Slide Time: 15:56)
The Urbach Wiethe disease is basically one in which the amygdala and the adjacent areas
of the brain are destroyed and then there is a reduction in the intensity of emotional
experience. So, people whose amygdala is damaged people whose amygdala in entire
adjacent regions are damaged.
So, Chaill and colleagues in 1995 they studied BP, BP was suffering from UWD and he
was basically in an experimental setting told the story in the middle of fish, there is a
very emotionally charged event that occurs there is a boy who kind of suffers a major
accident and loses his leg, healthy control showed much better recall of this emotionally
charged event because; obviously, emotions enhance memory, but BP this patient of
UWD on the other hand recalled the emotional event less well than the neutral parts or
the preceding parts of the story.
14. (Refer Slide Time: 16:45)
So, that kind of tells you that how important amygdala is in processing of emotional
information. Amygdala is also involved in memory for positive information as well as
negative information.
Siebert and colleagues in 2013 they compared the long term memory for positive
negative and neutral pictures in healthy controls and 10 UWD patients, what they found
was that poor recognition was showed for memory for all picture categories, but their
memory impairment was greater for positive pictures and least for neutral ones. So, in
the patience of UWD they are able to they are much less able to appreciate positive
emotions and you know or emotional material in general.
15. (Refer Slide Time: 17:32)
So, in summary if I just try to sum it up several findings on patients suffering from UWD
have been reported and they have been compared and contrasted with healthy individuals
emotional tasks memory tasks and those kind of things in both cases there is solid
evidence that the amygdala does play a very important role in enhanced memory for
emotional information. That is all from my side in this lecture we will continue talking
about cognition and emotion in the next lecture.