Emergence of optimal decoding of population codes through STDP.
about
Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral InhibitionMixed signal learning by spike correlation propagation in feedback inhibitory circuits.STDP installs in Winner-Take-All circuits an online approximation to hidden Markov model learningEnsembles of spiking neurons with noise support optimal probabilistic inference in a dynamically changing environment.Racing to learn: statistical inference and learning in a single spiking neuron with adaptive kernels.Network Plasticity as Bayesian InferenceUnsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses.A compound memristive synapse model for statistical learning through STDP in spiking neural networksLearning Probabilistic Inference through Spike-Timing-Dependent Plasticity.Hebbian Wiring Plasticity Generates Efficient Network Structures for Robust Inference with Synaptic Weight Plasticity.The HTM Spatial Pooler-A Neocortical Algorithm for Online Sparse Distributed Coding.Event-Based, Timescale Invariant Unsupervised Online Deep Learning With STDP.
P2860
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P2860
Emergence of optimal decoding of population codes through STDP.
description
2013 nî lūn-bûn
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2013年の論文
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name
Emergence of optimal decoding of population codes through STDP.
@en
Emergence of optimal decoding of population codes through STDP.
@nl
type
label
Emergence of optimal decoding of population codes through STDP.
@en
Emergence of optimal decoding of population codes through STDP.
@nl
prefLabel
Emergence of optimal decoding of population codes through STDP.
@en
Emergence of optimal decoding of population codes through STDP.
@nl
P2860
P356
P1433
P1476
Emergence of optimal decoding of population codes through STDP.
@en
P2093
Helmut Puhr
Stefan Habenschuss
P2860
P304
P356
10.1162/NECO_A_00446
P577
2013-03-21T00:00:00Z