Slowness: an objective for spike-timing-dependent plasticity?
about
Slowness and sparseness lead to place, head-direction, and spatial-view cellsSlow feature analysis with spiking neurons and its application to audio stimuli.A hierarchy of time-scales and the brain.Perceptron learning rule derived from spike-frequency adaptation and spike-time-dependent plasticity.Unsupervised natural visual experience rapidly reshapes size-invariant object representation in inferior temporal cortex.Unsupervised natural experience rapidly alters invariant object representation in visual cortex.Reinforcement learning on slow features of high-dimensional input streamsSynergistic Coding by Cortical Neural Ensembles.STDP allows fast rate-modulated coding with Poisson-like spike trainsSpectral analysis of input spike trains by spike-timing-dependent plasticity.State-dependent computations: spatiotemporal processing in cortical networks.The Convallis rule for unsupervised learning in cortical networks.Stimulus timing-dependent plasticity in high-level visionSlow feature analysis on retinal waves leads to V1 complex cellsInvolving motor capabilities in the formation of sensory space representations.Unsupervised learning of reflexive and action-based affordances to model adaptive navigational behaviorSTDP in Adaptive Neurons Gives Close-To-Optimal Information Transmission.A unifying theory of synaptic long-term plasticity based on a sparse distribution of synaptic strengthSTDP in Recurrent Neuronal Networks.On the use of dynamic Bayesian networks in reconstructing functional neuronal networks from spike train ensembles.Incremental slow feature analysis: adaptive low-complexity slow feature updating from high-dimensional input streams.A biological gradient descent for prediction through a combination of STDP and homeostatic plasticity.Using spatiotemporal correlations to learn topographic maps for invariant object recognition.Simple modification of Oja rule limits L1-norm of weight vector and leads to sparse connectivity.Inheritance of Hippocampal Place Fields Through Hebbian Learning: Effects of Theta Modulation and Phase Precession on Structure Formation.Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity--strengthening correlated input pathways.Learning spatial invariance with the trace rule in nonuniform distributions.Invariant object recognition and pose estimation with slow feature analysis.A theoretical basis for emergent pattern discrimination in neural systems through slow feature extraction.
P2860
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P2860
Slowness: an objective for spike-timing-dependent plasticity?
description
2007 nî lūn-bûn
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2007年の論文
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name
Slowness: an objective for spike-timing-dependent plasticity?
@en
Slowness: an objective for spike-timing-dependent plasticity?
@nl
type
label
Slowness: an objective for spike-timing-dependent plasticity?
@en
Slowness: an objective for spike-timing-dependent plasticity?
@nl
prefLabel
Slowness: an objective for spike-timing-dependent plasticity?
@en
Slowness: an objective for spike-timing-dependent plasticity?
@nl
P2860
P1476
Slowness: an objective for spike-timing-dependent plasticity?
@en
P2093
Christian Michaelis
Henning Sprekeler
P2860
P356
10.1371/JOURNAL.PCBI.0030112
P577
2007-06-01T00:00:00Z