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PRODID:www-math-fau-de//Events//DE
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SUMMARY:Spiking time-dependent plasticity leads to efficient coding an
 d predictions (Aceituno\, MPI Leipzig)
UID:5804a89b-2620-48f8-a639-45e1c9420d80
DESCRIPTION:Spiking time-dependent plasticity leads to efficient codin
 g and predictions Pau Aceituno\, Max Planck Institute for Mathematics 
 in the Sciences\, Leipzig\, Germany Latency reduction of postsynaptic 
 spikes is a well-known effect of Spiking Time-Dependent Plasticity. We
  expand this notion for long postsynaptic spike trains\, illustrating 
 how it can be generalized to include inhibitory spike trains and some 
 constraints on connectivity and neural activity. On the functional sid
 e\, we show that a fixed presynaptic train induces early spike synchro
 nization as well as a reduction in the number of postsynaptic spikes\,
  thus improving neural codes. Finally\, we show how this leads to pred
 ictions. Applied Analysis
DTSTART:20200528T070000Z
DTEND:20200528T074500Z
LOCATION:Online (contact marius.yamakou@fau to get the data for the VC)
DTSTAMP:20260724T225343Z
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