Learning flexible sensori-motor mappings in a complex network.
about
Spike-based reinforcement learning in continuous state and action space: when policy gradient methods failTemporal context and conditional associative learning.Democratic population decisions result in robust policy-gradient learning: a parametric study with GPU simulations.Sensorimotor learning biases choice behavior: a learning neural field model for decision makingMeasuring symmetry, asymmetry and randomness in neural network connectivity.Robust Working Memory in an Asynchronously Spiking Neural Network Realized with Neuromorphic VLSI.Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity.
P2860
Q30972868-ED6731E9-4AF4-49E8-87F8-C4385EC6B5F1Q33547688-60CF3C5C-AFDD-44C9-9182-AECD75AD677AQ33900113-298DFC9D-44CC-49A7-B513-78E9161EBA6CQ34481816-1E9E899F-FECE-4DEA-BD2F-F7BBB8887B99Q35203573-B2C3D287-BB19-479E-8448-0EF913289852Q40797145-A314CB41-90FE-4E65-A85E-885EAB7337E8Q41899945-A7DAE4C1-CA6E-4795-9A25-BF80561B1CE5
P2860
Learning flexible sensori-motor mappings in a complex network.
description
2009 nî lūn-bûn
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2009年の論文
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2009年学术文章
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2009年学术文章
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2009年學術文章
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name
Learning flexible sensori-motor mappings in a complex network.
@en
Learning flexible sensori-motor mappings in a complex network.
@nl
type
label
Learning flexible sensori-motor mappings in a complex network.
@en
Learning flexible sensori-motor mappings in a complex network.
@nl
prefLabel
Learning flexible sensori-motor mappings in a complex network.
@en
Learning flexible sensori-motor mappings in a complex network.
@nl
P50
P1476
Learning flexible sensori-motor mappings in a complex network.
@en
P2093
Xiao-Jing Wang
P2888
P304
P356
10.1007/S00422-008-0288-Z
P577
2009-01-20T00:00:00Z