about
Single and Multiple Change Point Detection in Spike Trains: Comparison of Different CUSUM Methods.The meaning of spikes from the neuron's point of view: predictive homeostasis generates the appearance of randomnessThe computational nature of memory modificationA detailed comparison of optimality and simplicity in perceptual decision making.Estimating the Information Extracted by a Single Spiking Neuron from a Continuous Input Time Series.Statistically optimal perception and learning: from behavior to neural representationsGlutamatergic model psychoses: prediction error, learning, and inferenceBayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticitySTDP installs in Winner-Take-All circuits an online approximation to hidden Markov model learningSpiking neuron network Helmholtz machine.Graded, Dynamically Routable Information Processing with Synfire-Gated Synfire Chains.Visual-haptic cue integration with spatial and temporal disparity during pointing movements.From drugs to deprivation: a Bayesian framework for understanding models of psychosis.Synaptic and nonsynaptic plasticity approximating probabilistic inference.Learning Probabilistic Inference through Spike-Timing-Dependent Plasticity.Why Neurons Have Thousands of Synapses, a Theory of Sequence Memory in Neocortex.Bayesian learning theory applied to human cognition.Making decisions with unknown sensory reliability.A bayesian foundation for individual learning under uncertainty.Emergence of optimal decoding of population codes through STDP.Convergence analysis of efficient online learning in Bayesian spiking neurons.Approximate, computationally efficient online learning in Bayesian spiking neurons.Bayesian Inference and Online Learning in Poisson Neuronal Networks.Cortical circuitry implementing graphical models.A Cross-Correlated Delay Shift Supervised Learning Method for Spiking Neurons with Application to Interictal Spike Detection in Epilepsy.Online learning with hidden markov models.Bayesian Models of Brain and Behaviour
P2860
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P2860
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh-hant
name
Bayesian spiking neurons II: learning.
@en
Bayesian spiking neurons II: learning.
@nl
type
label
Bayesian spiking neurons II: learning.
@en
Bayesian spiking neurons II: learning.
@nl
prefLabel
Bayesian spiking neurons II: learning.
@en
Bayesian spiking neurons II: learning.
@nl
P2860
P1433
P1476
Bayesian spiking neurons II: learning.
@en
P2093
Sophie Deneve
P2860
P304
P356
10.1162/NECO.2008.20.1.118
P577
2008-01-01T00:00:00Z