Publication: Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity
Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity
Date
Date
Date
Citations
Nessler, B., Pfeiffer, M., Büsing, L., & Maass, W. (2013). Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity. PLoS Computational Biology, 9(4), e1003037. https://doi.org/10.1371/journal.pcbi.1003037
Abstract
Abstract
Abstract
The principles by which networks of neurons compute, and how spike-timing dependent plasticity (STDP) of synaptic weights generates and maintains their computational function, are unknown. Preceding work has shown that soft winner-take-all (WTA) circuits, where pyramidal neurons inhibit each other via interneurons, are a common motif of cortical microcircuits. We show through theoretical analysis and computer simulations that Bayesian computation is induced in these network motifs through STDP in combination with activity-dependent ch
Metrics
Downloads
Views
Additional indexing
Creators (Authors)
- Nessler, B
- Pfeiffer, M
- Büsing, L
- Maass, W
Volume
Volume
Volume
Number
Number
Number
Page range/Item number
Page range/Item number
Page range/Item number
Item Type
Item Type
Item Type
In collections
Language
Language
Language
Publication date
Publication date
Publication date
Date available
Date available
Date available
Series Name
Series Name
Series Name
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
OA Status
OA Status
OA Status
Free Access at
Free Access at
Free Access at
Publisher DOI
Metrics
Downloads
Views
Citations
Nessler, B., Pfeiffer, M., Büsing, L., & Maass, W. (2013). Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity. PLoS Computational Biology, 9(4), e1003037. https://doi.org/10.1371/journal.pcbi.1003037
