Research Article  Bayesian Computation Emerges in Generic
Cortical Microcircuits through Spike-Timing-Dependent Plasticity
• Bernhard Nessler mail,      Affiliation: Institute for
Theoretical Computer Science, Graz University of Technology,
Graz, Austria    • Michael Pfeiffer,      Affiliations:
Institute for Theoretical Computer Science, Graz University of
Technology, Graz, Austria, Institute of Neuroinformatics,
University of Zürich and ETH Zürich, Zürich, Switzerland    •
Lars Buesing,     • Wolfgang Maass     • Published: April 25,
2013   • DOI: 10.1371/journal.pcbi.1003037   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 Baye