Heterogeneous and higher-order cortical connectivity undergirds efficient, robust, and reliable neural codes
Summary: We hypothesized that the heterogeneous architecture of biological neural networks provides a substrate to regulate the well-known tradeoff between robustness and efficiency, thereby allowing different subpopulations of the same network to optimize for different objectives. To distinguish be...
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Main Authors: | Daniela Egas Santander, Christoph Pokorny, András Ecker, Jānis Lazovskis, Matteo Santoro, Jason P. Smith, Kathryn Hess, Ran Levi, Michael W. Reimann |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-01-01
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Series: | iScience |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004224028128 |
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