Information-Theoretic Tools to Understand Distributed Source Coding in Neuroscience-Reference-Cited by-同舟云学术

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Information-Theoretic Tools to Understand Distributed Source Coding in Neuroscience

Published:2024 Issue: Volume:5 Page:509-519
ISSN:2641-8770
Container-title:IEEE Journal on Selected Areas in Information Theory
language:
Short-container-title:IEEE J. Sel. Areas Inf. Theory

Author:

Feldman Ariel K.¹^ORCID,Venkatesh Praveen²^ORCID,Weber Douglas J.³^ORCID,Grover Pulkit⁴^ORCID

Affiliation:

1. Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA

2. Allen Institute, Seattle, WA, USA

3. Mechanical Engineering Department and the Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA

4. Electrical and Computer Engineering Department and the Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/8700143/10461668/10552323-aam.pdf

Reference58 articles.

1. Grid cells and cortical representation

2. Grid cells generate an analog error-correcting code for singularly precise neural computation

3. Dynamical self-organization and efficient representation of space by grid cells

4. Using Grid Cells for Navigation

5. Efficient and flexible representation of higher-dimensional cognitive variables with grid cells

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