Learning Structure of Sensory Inputs with Synaptic Plasticity Leads to Interference
Synaptic plasticity is often explored as a form of unsupervised adaptationin cortical microcircuits to learn the structure of complex sensoryinputs and thereby improve performance of classification and prediction. The question of whether the specific structure of the input patterns is encoded in the...
I tiakina i:
| Ngā kaituhi matua: | , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Frontiers Media S.A.
2015-08-01
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| Rangatū: | Frontiers in Computational Neuroscience |
| Ngā marau: | |
| Urunga tuihono: | http://journal.frontiersin.org/Journal/10.3389/fncom.2015.00103/full |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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