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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

502B

Syllabus

502B Computation

Introduction
1 Primer
2 Dynamics in 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

502B Empirical

Introduction

Repository
Open issue

.md

4 High Level Vision

Contents

High Level Vision (Gomez)
HCCN (Ning Wang)
Readings

4 High Level Vision#

High Level Vision (Gomez)#

HCCN (Ning Wang)#

presenting on Yamins, D., DiCarlo (2016)

Readings#

Andersen1988
Battleday2022
Desimone1984
Gross2002
Haxby2000.pdf
Kanwisher2006
LeCunn1998
Yamins2016

previous

3 Associative Learning and Topography

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5 Dynamics of Integration and Decision Making

Contents

High Level Vision (Gomez)
HCCN (Ning Wang)
Readings

By Jonathan Cohen, Samuel Nastase, Alexander Ku & Younes Strittmatter

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