Independent component analysis in spiking neurons
- Although models based on independent component analysis (ICA) have been successful in explaining various properties of sensory coding in the cortex, it remains unclear how networks of spiking neurons using realistic plasticity rules can realize such computation. Here, we propose a biologically plausible mechanism for ICA-like learning with spiking neurons. Our model combines spike-timing dependent plasticity and synaptic scaling with an intrinsic plasticity rule that regulates neuronal excitability to maximize information transmission. We show that a stochastically spiking neuron learns one independent component for inputs encoded either as rates or using spike-spike correlations. Furthermore, different independent components can be recovered, when the activity of different neurons is decorrelated by adaptive lateral inhibition.
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| Author: | Cristina Savin, Prashant Joshi, Jochen TrieschORCiD |
|---|---|
| URN: | urn:nbn:de:hebis:30-83851 |
| DOI: | https://doi.org/10.1371/journal.pcbi.1000757 |
| ISSN: | 1553-7358 |
| Pubmed Id: | https://pubmed.ncbi.nlm.nih.gov/20421937 |
| Parent Title (English): | PLoS Computational Biology |
| Publisher: | Public Library of Science |
| Place of publication: | Lawrence, Kan. |
| Document Type: | Article |
| Language: | English |
| Date of Publication (online): | 2010/04/22 |
| Date of first Publication: | 2010/04/22 |
| Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
| Release Date: | 2010/10/26 |
| Volume: | 6 |
| Issue: | (4): e1000757 |
| Page Number: | 10 |
| First Page: | 1 |
| Last Page: | 10 |
| Note: | Copyright: © 2010 Savin et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
| HeBIS-PPN: | 229857698 |
| Institutes: | Wissenschaftliche Zentren und koordinierte Programme / Frankfurt Institute for Advanced Studies (FIAS) |
| Dewey Decimal Classification: | 1 Philosophie und Psychologie / 15 Psychologie / 150 Psychologie |
| Sammlungen: | Universitätspublikationen |
| Licence (German): |  Creative Commons - Namensnennung 3.0 |
