Rylan Schaeffer

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Neural Network Model of Amygdalar Memory Engram Formation and Function

Rylan Schaeffer, Nimrod Shaham, Gabriel Kreiman, Haim Sompolinsky

Computational and Systems Neuroscience Accepted

February 2021

Abstract

We develop a neural network model of memory engram formation and function in the amygdala, providing computational insights into how fear memories are encoded, stored, and retrieved.

Summary

Neural network model of memory engram formation and function in the amygdala.

Memory Engrams

Memory engrams are the physical traces of memories in the brain. Understanding how they form and function in the amygdala is crucial for understanding fear learning and emotional memory.

Our Model

We develop a neural network model that captures the formation and function of memory engrams in the amygdala, providing computational insights into:

  • How fear memories are encoded
  • How they are stored over time
  • How they are retrieved during recall

See the full research page for more details.