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NEU/PSY 502
502A
Syllabus
Lectures
1 Introduction and History
2 Perception and Constraint Satisfaction
3 Associative Learning and Topography
4 High Level Vision
5 Dynamics of Integration and Decision Making
6 Optimization of Decision Making
7 Reward Systems and Psychodynamics
8 Explore/Exploit and Noradrenergic Neuromodulation
9 Distributed Representation, Learning and Semantics
10 Bayesian Approaches to Human Cognition and Neural Network Function
11 Interactive Activation, Statistical Learning, and Language Processing
12 Language, Context and LLMs
Class 13: Episodic Memory and Hippocampal Function
Class 14: Automaticity and Control
Class 15: Working memory and Prefrontal Function
Class 16: Representation and Capacity Limits
Class 17: Higher Level Cognition
Class 18: Optimization and Control
Class 19: Motor Representations and Planning
Class 20: Motor Control, Learning and Cerebellar Function
Class 21: Development
Class 22: Social Cognition
Class 23: Cognitive Neuropsychology and the Origins of Computational Psychiatry
Class 24: Modern Computational Psychiatry
502B
Syllabus
502B Computation
Introduction
1 Primer
1.1 Scalars, Vectors, and Matrices
1.2 Logistic Function
1.3 Perceptron and XOR
2 Dynamics in Perception
2.1 Hebbian Learning
2.2 Hopfield Networks
2.3 Dynamic Systems and Bistable Perception
3 Decision Making
3.1 Drift Diffusion Models
4 Reinforcement Learning
4.1 Reinforcement Learning
5 Statistical Learning and Backpropagation
6 Episodic Memory
6.1 Episodic Memory
6.2 Episodic Generalization Optimization - EGO
7 Selective Attention, Automaticity, and Control
7.1 Stroop Model
8 Conflict Monitoring, Effort, and Control
8.1 Conflict Monitoring
9 Integration, Attention, Context, and Control
9.1 ISC-CI Model
502B Empirical
Introduction
Repository
Open issue
.md
.pdf
9 Integration, Attention, Context, and Control
Contents
Overview
Content
9 Integration, Attention, Context, and Control
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Overview
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9.1 ISC-CI Model
Contents
Overview
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