Concept of Synaptic integration and synaptic potential, Types of Synaptic Potential (excitatory and Inhibitory), Factors controlling the generation of Action Potential
this ppt shares what synapses are and how information of one neuron is transmitted to other through the synapses. it also includes the properties and plasticity of synaptic transmission
this ppt shares what synapses are and how information of one neuron is transmitted to other through the synapses. it also includes the properties and plasticity of synaptic transmission
these slides contain a brief introduction of neurons and its classification as well as details of generation of action potential, resting potential and eletrotonic potential.
Assignment on Need of cell signaling, Steps in cell signaling, Intercellular signaling pathways, Types of intercellular signaling pathways, Intracellular signaling pathways, Receptors, Intercellular and intracellular signaling pathways. Classification of receptor family and molecular structure ligand gated ion channels; Gprotein coupled receptors, tyrosine kinase receptors and nuclear receptors.
Various neurotransmitters, mechanism of action and their physiological functions are explained and is useful for ug and pg students of medicine, neurology, psychiatry branches.
Required information Synaptic Integration Synaptic integrati.pdfinfo213941
Required information Synaptic Integration Synaptic integration allows a neuron to process
information coming in from various presynaptic neurons. Explore this interactive graph to discover
how signals from excitatory or inhibitory neurons can interact to create new patterns of electrical
potentials in the postsynaptic neuron and how fast or slow signals can create different patterns as
well. Choose a pair of presynaptic neurons that act together and click Record to view the results in
the postsynaptic neuron that receives the signals. Synaptic IntegrationSynaptic
IntegrationSynaptic Integration: Integration of neurons A and B Looking at simultaneous activity of
neuron A and neuron B, the postsynaptic neuron integrates their signals by Multiple Choice
subtraction below the threshold, producing an action potentiol. subtraction, producing an IPSP.
cancellation, producing no response. summation, producing an EPSP. summation over the
threshold, producing an oction potential.
these slides contain a brief introduction of neurons and its classification as well as details of generation of action potential, resting potential and eletrotonic potential.
Assignment on Need of cell signaling, Steps in cell signaling, Intercellular signaling pathways, Types of intercellular signaling pathways, Intracellular signaling pathways, Receptors, Intercellular and intracellular signaling pathways. Classification of receptor family and molecular structure ligand gated ion channels; Gprotein coupled receptors, tyrosine kinase receptors and nuclear receptors.
Various neurotransmitters, mechanism of action and their physiological functions are explained and is useful for ug and pg students of medicine, neurology, psychiatry branches.
Required information Synaptic Integration Synaptic integrati.pdfinfo213941
Required information Synaptic Integration Synaptic integration allows a neuron to process
information coming in from various presynaptic neurons. Explore this interactive graph to discover
how signals from excitatory or inhibitory neurons can interact to create new patterns of electrical
potentials in the postsynaptic neuron and how fast or slow signals can create different patterns as
well. Choose a pair of presynaptic neurons that act together and click Record to view the results in
the postsynaptic neuron that receives the signals. Synaptic IntegrationSynaptic
IntegrationSynaptic Integration: Integration of neurons A and B Looking at simultaneous activity of
neuron A and neuron B, the postsynaptic neuron integrates their signals by Multiple Choice
subtraction below the threshold, producing an action potentiol. subtraction, producing an IPSP.
cancellation, producing no response. summation, producing an EPSP. summation over the
threshold, producing an oction potential.
Hardware Implementation of Spiking Neural Network (SNN)supratikmondal6
This project work was carried out under the supervision of Dr. Gaurav Trivedi (IIT Guwahati, Electrical Engineering) and under the mentorship of Mr. Ashvinikumar Pruthviraj Dongre (IIT Guwahati, PhD Scholar). In this project we have tried to implement the SNN for image classification in FPGA by
developing an efficient and realistic architecture and also by incorporating a technique of weight change according to
Step-Wise STDP learning curve.
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity
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Eeg time series data analysis in focal cerebral ischemic rat modelijbesjournal
The mammalian brain exists in a number of attractors. In order to characterize these attractors we have collected the time series data from the EEG recording of rat models. The time series was obtained by recording of the frontoparietal, occipital and temporal regions of the rat brain. Significant changes have
been observed in the dimensionalities of these brain attractors between the normal state, focal ischemic
state and the drug induced state. Thus, these three states were characterized by unique lyapunov exponents,
correlation dimensions and embedding dimensions. The inverse of the lyapunov exponent gave us the long
term coherence of the rat brain and was found to differ for the three states. The autocorrelation function
measured the mean similarity of the EEG signal with itself after a time t. The degree of decay was high indicating that there was maximum correlation in the time series. Thus, the autocorrelation functions clearly indicate the effect of focal cerebral ischemia and drugs induced on the rat brain.
ARTIFICIAL NEURAL NETWORK APPROACH TO MODELING OF POLYPROPYLENE REACTORijac123
This paper shows modeling of highly nonlinear polymerization process using the artificial neural network approach for the model predictive purposes. Polymerization occurs in a fluidized bed polypropylene reactor using Ziegler - Natta catalyst and the main objective was modeling of the reactor production rate.
The data set used for an identification of the model is a real process data received from an existing polypropylene plant and the identified model is a nonlinear autoregressive neural network with the exogenous input. Performance of a trained network has been verified using the real process data and the
ability of the production rate prediction is shown in the conclusion.
Mechanisms of innate immunity in invertebrates (hemocytes)Abhijeet2509
Provides an overview of the mechanism of innate immunity in invertebrates, particularly insects. Types of hemocytes present in insects and their roles in innate immunity.
Role of aromatase in sex determinationAbhijeet2509
Aromatase as an enzyme and its role in the conversion of Androgens to female sex steroidal hormones, Aromatase sensitivity to temperature in animals with Temperature dependent sex determination (TSD)
Topics covered:- Hygroscopic, Endogenous and Exogenous source for plant movement, Types of Endogenous movements, Tropism, Taxis, Nastic movement and Kinesis with examples.
Objectives of the presentation:- Definition Habituation, Experiment conducted by Eric Kandel and his team on Aplysia, Short term and Long term Habituation, Reasons for Habituation
Physiological aspects of bird migration.Abhijeet2509
What is Migration? Characteristics of Bird Migration, Role of Endocrine Glands in the accumulation of body fat, thermoregulation and some common behavioral adaptations for thermoregulation in migratory birds, physiological advantage of fat as a source of metabolic energy as compared to protein and fat.
Objectives of the study:- Background of Action and Resting Potential, Procedure of the Experiment, Benefits and Findings of the Voltage Clamp Experiment, Variation of the Voltage Clamp Experiment.
Objective of the Study:- Introduction, Structure of Sodium-Potassium Pump, History, Forms of the pump, Mechanism of working, Inhibition and Functions of the pump.
Objective of the study:- Structure of a typical Neuron, Classification of Neuron based on Polarity, on conduction direction, on neurotransmitters released, on their shape, Glial cells, major type of Glial cells present in CNS and PNS and their functions.
Objective of the study:-Introduction, Resting Membrane Potential, concept of selective Permeability of membrane, Nernst Equation, Example, Goldman-Hodgkin-Katz equation and its significance
Definition of Decision making, Factors Controlling Decision making, 6C's of Decision Making, Steps of Decision Making, Decision making techniques, Definition of Negotiation, Stages of negotiation, fundamentals of negotiation, Negotiation styles and Negotiation concepts.
Topics Touched:- Introduction, Concept of Learning, Unlearning & Relearning, Definition, Elements, Benefits and Strategies of Capacity Building, Zones of Learning and Ideas for Learning.
Topics covered:- Definition of Creativity, Anatomical part of creativity, Phases of Creativity, Types of Creativity, Current workplace, Creativity at workplace, Hobbies at workplace, Benefits of Hobbies.
Topics covered:- Introduction, Historical aspects of Ethics, Correlation between values and behavior, Ethics at work place, objectives and benefits of ethics at work place, problems associated with unethical practices.
Definition, Ambience, Types of Group Discussion,Purpose and Benefits of Group discussion, How Group Discussion differs from Debate and Panel Discussion, Traits, Big 5 individual traits.
Objectives:- 1) What is Sleep? 2) What is Sleep Cycle? 3) Stages of Sleep Cycle. 4) Anatomy of Sleep. 5) Circadian rhythm 6) Sleep Disorders. 7) Tips of improving sleep pattern 8) Benefits of Good sleep,
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
2. Synaptic
integration
Neurons receive thousands of
synaptic inputs from other neurons
in the brain.
Summation of these large number
of inputs is called Synaptic
integration.
Synaptic integration leads to the
nerve impulse, or action potential.
3. Synaptic
Potential
Synaptic integration is the computational
process by which an individual neuron
processes its synaptic inputs and converts
them into an output signal.
Neuronal input signal is Synaptic Potentials
Neuronal output signal is Action Potentials
5. Action
Potential
Synaptic potentials can be either
excitatory or inhibitory
B
e
Action potentials occur if the summed synaptic
inputs to a neuron reach a threshold level of
depolarization
A
c
t
i
o
n
The synaptic input summation can be
Temporal or Spatial.
B
e
6. Factors
controlling
Action
Potential
The ability
of synaptic
inputs to
effect
neuronal
output
(Action
potential) is
determined
by:-
Size, Shape and Relative timing of
electrical potentials generated by synaptic
inputs.
The geometric structure of the target
neuron,
The physical location of synaptic inputs
within that structure
Expression of voltage‐gated channels in
different regions of the neuronal
membrane
7. Factors
controlling
Action
Potential
Nonlinear summation of synaptic
potentials occurs when a synaptic potential
changes the driving force for ion
movement and therefore the amplitude of
subsequent synaptic potentials.
The impact of a synaptic input on neuronal
output depends on its location within the
dendritic tree. ( Get reduced if the distance
traveled by synaptic input is more)