About this document
Neural Population Geometry Insights by Karla Valderrama is a document available to read on EtoBox.
This document discusses how analyzing the geometry of neural population representations, referred to as neural population geometry, can provide insights into biological and artificial neural networks. Recent studies have used neural population geometry to understand tasks like perception, classification, abstraction, cognitive mapping, motor control, and cognition. Analyzing the geometric properties of high-dimensional neural representations, which take the form of manifolds embedded in neural state space,
- Author
- Karla Valderrama
- Language
- EN