Design of continuous attractor networks with monotonic tuning using a symmetry principle.
about
Dynamical systems, attractors, and neural circuitsOptogenetic perturbations reveal the dynamics of an oculomotor integrator.Functional, but not anatomical, separation of "what" and "when" in prefrontal cortexCorrelated neural variability in persistent state networks.Predictive coding of dynamical variables in balanced spiking networksA modeling framework for deriving the structural and functional architecture of a short-term memory microcircuit.Synaptic and intrinsic homeostasis cooperate to optimize single neuron response properties and tune integrator circuitsA moving bump in a continuous manifold: a comprehensive study of the tracking dynamics of continuous attractor neural networks.Understanding Emergent Dynamics: Using a Collective Activity Coordinate of a Neural Network to Recognize Time-Varying Patterns.
P2860
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P2860
Design of continuous attractor networks with monotonic tuning using a symmetry principle.
description
2008 nî lūn-bûn
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2008年の論文
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2008年学术文章
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2008年学术文章
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2008年学术文章
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2008年学术文章
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2008年学术文章
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2008年学术文章
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2008年學術文章
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2008年學術文章
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name
Design of continuous attractor networks with monotonic tuning using a symmetry principle.
@en
Design of continuous attractor networks with monotonic tuning using a symmetry principle.
@nl
type
label
Design of continuous attractor networks with monotonic tuning using a symmetry principle.
@en
Design of continuous attractor networks with monotonic tuning using a symmetry principle.
@nl
prefLabel
Design of continuous attractor networks with monotonic tuning using a symmetry principle.
@en
Design of continuous attractor networks with monotonic tuning using a symmetry principle.
@nl
P2860
P1433
P1476
Design of continuous attractor networks with monotonic tuning using a symmetry principle.
@en
P2093
Carlos D Brody
P2860
P304
P356
10.1162/NECO.2007.07-06-297
P577
2008-02-01T00:00:00Z