DOI: 10.1101/002923Feb 21, 2014Paper

Spatial Information in Large-Scale Neural Recordings

BioRxiv : the Preprint Server for Biology
Thaddeus R CybulskiKonrad P Kording

Abstract

A central issue in neural recording is that of distinguishing the activities of many neurons. Here, we develop a framework, based on Fisher information, to quantify how separable a neuron’s activity is from the activities of nearby neurons. We (1) apply this framework to model information flow and spatial distinguishability for several electrical and optical neural recording methods, (2) provide analytic expressions for information content, and (3) demonstrate potential applications of the approach. This method generalizes to many recording devices that resolve objects in space and thus may be useful in the design of next-generation scalable neural recording systems.

Related Concepts

Related Feeds

BioRxiv & MedRxiv Preprints

BioRxiv and MedRxiv are the preprint servers for biology and health sciences respectively, operated by Cold Spring Harbor Laboratory. Here are the latest preprint articles (which are not peer-reviewed) from BioRxiv and MedRxiv.

Researcher Network:CZI Neurodegeneration Challenge

The Neurodegeneration Challenge Network aims to provide funding for and to bring together researchers studying neurodegenerative diseases. Find the latest research from the NDCN grantees here.

Related Papers

Frontiers in Computational Neuroscience
Thaddeus R CybulskiKonrad P Kording
Acta Universitatis Palackianae Olomucensis Facultatis Medicae
S Komenda
Physical Review Letters
Yu WatanabeMasahito Ueda
© 2021 Meta ULC. All rights reserved