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Models of Memory

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Course Description
Annotated Course Schedule and Outline
Introduction
Hebbian learning and Hopfield networks
Free Recall, Short Term and Long Term Memory
- The Search of Associative Memory (SAM) Model
Data Science Primer
Memory Timescales (Part I)
- The Temporal Context Model (TCM)
Memory Timescales (Part II)
- The Laplace Transform (and its Inverse)
- The Laplace Temporal Context Model (Laplace-TCM)
Biologically Inspired Network Models
Deep Networks
Final Project Demo Reel
- Example Project 1

Slides

Week 1

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Hebbian learning and Hopfield networks

Hebbian learning and Hopfield networks#

Reading: Hopfield (1982)*
Discussion: Hopfield network simulations (storage capacity, cued recall, contextual drift)

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Introduction

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Free Recall, Short Term and Long Term Memory

By Jeremy R. Manning

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