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NEU/PSY 502

502A

Syllabus
Lectures
Paper Presentation Rubric
1 Introduction and History
2 Perception and Constraint Satisfaction
3 Associative Learning and Topography
4 Sequences and Predictions
5 Dynamics of Integration and Decision Making
6 Cerebellum and Error-driven Learning
7 Reinforcement Learning
8 Dopamine and Basal Ganglia
9 Basics of Motor System + Motor Cortex
10 Explore/exploit and noradrenergic neuromodulation
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
2 Dynamics in Perception
3 Decision Making
- 3.1 Drift Diffusion Models
4 Reinforcement Learning
- 4.1 Reinforcement Learning
5 Statistical Learning and Backpropagation
- 5.1 Rumelhart Semantic Network
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
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NEU/PSY 502

Contents

Lectures
Labs

NEU/PSY 502#

Lectures#

Class 1: Introduction and History
Class 2: Perception and Constraint Satisfaction
Class 3: Associative Learning and Topography
Class 4: Statistical Learning and Predictions
Class 5: Dynamics of Integration and Decision Making
Class 6: Cerebellum and Error-driven Learning
Class 7: Reward Learning
Class 8: Dopamine and the Basal Ganglia
Class 9: Motor System
Class 10: Explore/Exploit and Noradrenergic Neuromodulation
Class 11: Distributed Representations and Semantics
Class 12: Bayesian Approaches and Bounded Rationality
Class 13: Hippocampus and Navigation
Class 14: Episodic Memory and Sleep
Class 15: Attention, Control and Prefrontal Function
Class 16: Working Memory and Maintenance
Class 17: Representations and Capacity Limits
Class 18: Optimization of Control
Class 19: Oscillations and Cognition
Class 20: Dynamics and Geometry of Cognitive Control
Class 21: Development
Class 22: Neuroscience of Social Behavior
Class 23: Cognitive Neuropsychology
Class 24: Computational Psychiatry

Labs#

Computational Modelling
Empirical

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Syllabus

Contents

Lectures
Labs

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

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