Topological coding in hippocampus

TL;DR

This paper proposes that hippocampal neural activity encodes spatial information topologically, offering a new framework for understanding spatial memory and navigation through topological analysis and invariants.

Contribution

It introduces a novel topological approach to analyze hippocampal activity, enabling classification and logical reasoning about spatial environments.

Findings

Hippocampal activity encodes topological information.

Topological invariants classify neural activity patterns.

A logical system models spatial reasoning and navigation.

Abstract

The proposed analysis of the currently available experimental results concerning the neural cell activity in the brain area known as hippocampus suggests a particular mechanism of spatial information and memory processing. Below it is argued that the spatial information available through the analysis of the hippocampal cell activity is predominantly of topological nature. It is pointed out that a direct topological analysis can produce a topological invariant based classification of the cell activity patterns and a complete topological description of animal's current environment. It also provides a full first order logical system for local topological reasoning about spatial structure and animal's navigational strategies.