The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Questioning the role of sparse coding in the brain.

Author

Summary, in English

Coding principles are central to understanding the organization of brain circuitry. Sparse coding offers several advantages, but a near-consensus has developed that it only has beneficial properties, and these are partially unique to sparse coding. We find that these advantages come at the cost of several trade-offs, with the lower capacity for generalization being especially problematic, and the value of sparse coding as a measure and its experimental support are both questionable. Furthermore, silent synapses and inhibitory interneurons can permit learning speed and memory capacity that was previously ascribed to sparse coding only. Combining these properties without exaggerated sparse coding improves the capacity for generalization and facilitates learning of models of a complex and high-dimensional reality.

Publishing year

2015

Language

English

Pages

417-427

Publication/Series

Trends in Neurosciences

Volume

38

Issue

7

Document type

Journal article review

Publisher

Elsevier

Topic

  • Neurosciences

Status

Published

Research group

  • Neural Basis of Sensorimotor Control

ISBN/ISSN/Other

  • ISSN: 1878-108X