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Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks

Cayco-Gajic, NA; Clopath, C; Silver, RA; (2017) Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks. Nature Communications , 8 , Article 1116. 10.1038/s41467-017-01109-y. Green open access

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Abstract

Pattern separation is a fundamental function of the brain. The divergent feedforward networks thought to underlie this computation are widespread, yet exhibit remarkably similar sparse synaptic connectivity. Marr-Albus theory postulates that such networks separate overlapping activity patterns by mapping them onto larger numbers of sparsely active neurons. But spatial correlations in synaptic input and those introduced by network connectivity are likely to compromise performance. To investigate the structural and functional determinants of pattern separation we built models of the cerebellar input layer with spatially correlated input patterns, and systematically varied their synaptic connectivity. Performance was quantified by the learning speed of a classifier trained on either the input or output patterns. Our results show that sparse synaptic connectivity is essential for separating spatially correlated input patterns over a wide range of network activity, and that expansion and correlations, rather than sparse activity, are the major determinants of pattern separation.

Type: Article
Title: Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/s41467-017-01109-y
Publisher version: https://doi.org/10.1038/s41467-017-01109-y
Language: English
Additional information: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Science & Technology, Multidisciplinary Sciences, Science & Technology - Other Topics, CEREBELLAR GRANULE CELLS, OLFACTORY-BULB, ODOR DISCRIMINATION, SENSORY INFORMATION, LATERAL INHIBITION, MUSHROOM BODY, SPIKE TRAINS, GOLGI CELLS, INPUT LAYER, IN-VIVO
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Neuro, Physiology and Pharmacology
URI: http://discovery.ucl.ac.uk/id/eprint/10032367
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