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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
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.md

Introduction

Introduction#

This section is not fully integrated in this course yet, please visit 502B - Empirical for the exercises.

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8.1 Conflict Monitoring

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

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