Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks
Input decorrelation, expansion recoding and sparse activity have been proposed to separate overlapping activity patterns in feedforward networks. Here the authors use reduced and detailed spiking models to elucidate how synaptic connectivity affects the contribution of these mechanisms to pattern se...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2017-10-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-017-01109-y |
| Summary: | Input decorrelation, expansion recoding and sparse activity have been proposed to separate overlapping activity patterns in feedforward networks. Here the authors use reduced and detailed spiking models to elucidate how synaptic connectivity affects the contribution of these mechanisms to pattern separation in cerebellar cortex. |
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| ISSN: | 2041-1723 |