Cayco-Gajic, NA;
Silver, RA;
(2019)
Re-evaluating Circuit Mechanisms Underlying Pattern Separation.
[Review].
Neuron
, 101
(4)
pp. 584-602.
10.1016/j.neuron.2019.01.044.
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Abstract
When animals interact with complex environments, their neural circuits must separate overlapping patterns of activity that represent sensory and motor information. Pattern separation is thought to be a key function of several brain regions, including the cerebellar cortex, insect mushroom body, and dentate gyrus. However, recent findings have questioned long-held ideas on how these circuits perform this fundamental computation. Here, we re-evaluate the functional and structural mechanisms underlying pattern separation. We argue that the dimensionality of the space available for population codes representing sensory and motor information provides a common framework for understanding pattern separation. We then discuss how these three circuits use different strategies to separate activity patterns and facilitate associative learning in the presence of trial-to-trial variability.
| Type: | Article |
|---|---|
| Title: | Re-evaluating Circuit Mechanisms Underlying Pattern Separation |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.neuron.2019.01.044 |
| Publisher version: | https://doi.org/10.1016/j.neuron.2019.01.044 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL 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: | https://discovery.ucl.ac.uk/id/eprint/10071966 |
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