The document discusses different types of memory including implicit, explicit, procedural, and working memory. It provides examples of different learning mechanisms in the brain including motor skill learning, perceptual skill learning, and competition between hippocampal and basal ganglia systems in strategy selection. Episodic memory and its dependence on full sequences of events is discussed. The role of prefrontal cortex interactions with parietal cortex in working memory is also summarized.
AQA Psychology A Level Revision Cards - Biopsychology Topicaesop
revision cards for aqa psych paper 2 biopsychology topic. please excuse spelling or grammar mistakes! made entirely by me using the standard year 1/2 textbook, for reference i achieved an a* :)
our report in BioPsych.. this ppt is incomplete since the first part of the topic was not included here.
i have uploaded our documents and presentations because i don't want to have it deleted.. these files can still be usefull to me and to others. i hope this can help..
book: BioPsych
author: J.P. Pinel
AQA Psychology A Level Revision Cards - Biopsychology Topicaesop
revision cards for aqa psych paper 2 biopsychology topic. please excuse spelling or grammar mistakes! made entirely by me using the standard year 1/2 textbook, for reference i achieved an a* :)
our report in BioPsych.. this ppt is incomplete since the first part of the topic was not included here.
i have uploaded our documents and presentations because i don't want to have it deleted.. these files can still be usefull to me and to others. i hope this can help..
book: BioPsych
author: J.P. Pinel
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
COGS 107B - Winter 2010 - Lecture 15 - Memory
1. Cogs 107b – Systems Neuroscience www.dnitz.com lec15_03022010 learning and memory II principle: ‘implicit vs. explicit memory’ the term ‘procedural knowledge’, sometimes called implicit memory, denotes knowledge of how to accomplish a task, and often pertains to knowledge which unlike ‘declarative knowledge’ cannot be easily articulated by the individual, or knowledge that is nonconscious.
2. spike-timing (pre-post) synaptic change spike-timing (pre-post) spike-timing (pre-post) spike-timing (pre-post) synaptic change synaptic change synaptic change no ACh, no NE (as in NREM sleep) ACh + NE (as in waking) NE, no ACh (??) ACh, no NE (e.g., REM sleep) co-activity rules for synaptic efficacy change depend on neuromodulatory systems spike-timing (post-pre) spike-timing (post-pre) spike-timing (post-pre) spike-timing (post-pre)
3. learning 101: Pavlovian fear conditioning – association of an initially neutral tone (CS) with a foot-shock results in ‘freezing’ responses when the tone alone is played – this type of memory may be implicit or explicit lateral amygdala central amygdala auditory cortex / auditory thalamus (neurons excited by sound stimulus - CS) somatosensory cortex / somatosensory thalamus (neurons excited by shock stimulus - US) before pairing after pairing freezing response, increased heart rate, etc. hippocampus (place information) IT (visual item information) conditioned stimulus (CS) conditioned + unconditioned stimulus (US) conditioned stimulus curiosity ‘ shock and awe’ (freezing) conditioned freezing
4. reach onset pellet contact muscle 1 muscle 2 muscle 3 muscle 4 muscle 5 muscle 6 muscle 7 Kargo and Nitz, JNS, 2003 mod. from Conner et al., Neuron, 2003 early lrng. late lrng. w/out ACH w/out ACH w/out ACH rats learn, across days, to efficiently reach and grasp a small sugar pellet over those days, the muscle patterns used in grasping adapt over those days, the area of primary motor cortex taken up by neurons associated with the reaching limb grows if ACh inputs to the primary motor cortex are removed, neither the learning nor the changes in motor cortex occur implicit/procedural learning I: rat reach-to-grasp as a model of motor skill learning - ‘more is better’ and ACh helps
5. implicit/procedural learning II: perceptual skill learning - ‘more is better’ – ACh helps control trained rats trained to make a nosepoke if they detect a 4 kHz tone show improvements in detection over days of training Over the same time period the topographic representation of pitch in primary auditory cortex changes such that more neurons respond to 4 kHz tones in separate experiments, pairing of a 9 kHz tone with stimulation of ACh neurons in the basal forebrain changes the topographic representation in primary auditory cortex such that more neurons respond to 9 kHz tones Polley et al., JNS, 2006 Kilgard et al., Science, 1998
6. implicit/procedural learning III: basal ganglia versus hippocampus – an ACh-based competition in training (below), the rat is taught to move to the goal to obtain reward subsequently, on test trials (above), the maze is turned upside-down and the rat demonstrates whether he has learned to ‘make a left’ at the ‘T’ (a response strategy) or to ‘move to that place in the room’ (a place strategy) if the rat is asked this question early in training (within the first couple of days), one tends to see a ‘place’ strategy and ACh is high in the hippocampus if the rat is asked this question late in training, one tends to see a ‘response’ strategy and ACh is high in the basal ganglia early in training, when one would normally expect a ‘place’ strategy, inactivation of the hippocampus (the home of ‘place cells’) results in the emergence of a response strategy late in training, when one would normally expect a ‘response’ strategy, inactivation of the basal ganglia (proposed to select responses via the direct pathway) results in the emergence of a place strategy thus, the animal has learned two separate strategies which compete for expression
7. episodic memory (memory for events and their ordering - a form of explicit memory): hippocampal cell activity in a ‘place’ often depends on the places previously or subsequently visited (this is termed retrospective and prospective place coding) for one block of trials, the animal must travel to the west end when placed at either the N or S start point for the next block, the animal must travel to the east end when placed at either the N or S start point about half of all hippocampal neurons fire spikes (green dots) when the animal is in a certain part of the maze (here the S arm) – this is seen irrespective of the direction taken after reaching the middle other hippocampal neurons are ‘prospective’ – they fire in a certain place depending on where the animal will go from that place – they too have activity dependent on the full episode some hippocampal neurons fire in a certain place, but only if they reached that place from the N as opposed to the S side – their activity depends on the character of the full episode and is termed ‘retrospective’ adap. from Ferbinteanu and Shapiro, Neuron, 2003
8. adap. from Chafee and Goldman-Rakic, JNP, 1998 working memory: holding items in memory (7+/-2) is achieved through interaction of the prefrontal and parietal cortex parietal cortex prefrontal cortex delay period cue period saccade parietal neurons prefrontal neurons cue +delay delay +action
9. an example: prefrontal ‘top-down’ influences on parietal cortex during an oculomotor delayed response task – inactivation of prefrontal cortex via cooling depresses ‘working memory’ responses of parietal cortex neurons and increases errors error rate (percent saccades to wrong site) for each of 8 directions used increases when prefrontal cortex is inactivated parietal neuron has delay-period activity specific to the N and NW targets delay-period activity for the same neuron is depressed when prefrontal cortex is inactivated Chafee and Goldman-Rakic, JNP, 2000