From fixed points to chaos: three models of delayed discrimination.
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Dynamical systems, attractors, and neural circuitsThe Use of Hebbian Cell Assemblies for Nonlinear Computation.A reanalysis of "Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons"Timing over tuning: overcoming the shortcomings of a line attractor during a working memory task.How attention can create synaptic tags for the learning of working memories in sequential tasks.Asynchronous Rate Chaos in Spiking Neuronal CircuitsTraining Excitatory-Inhibitory Recurrent Neural Networks for Cognitive Tasks: A Simple and Flexible Framework.Reservoir Computing Properties of Neural Dynamics in Prefrontal CortexA Tradeoff Between Accuracy and Flexibility in a Working Memory Circuit Endowed with Slow Feedback Mechanisms.Robust neuronal dynamics in premotor cortex during motor planning.Stable population coding for working memory coexists with heterogeneous neural dynamics in prefrontal cortexMechanisms of Persistent Activity in Cortical Circuits: Possible Neural Substrates for Working Memory.Canonical computations of cerebral cortex.Reward-based training of recurrent neural networks for cognitive and value-based tasksItinerancy between attractor states in neural systems.Multiplex visibility graphs to investigate recurrent neural network dynamics.Recurrent Network Models of Sequence Generation and Memory.Efficient reinforcement learning of a reservoir network model of parametric working memory achieved with a cluster population winner-take-all readout mechanism.Computing by Robust Transience: How the Fronto-Parietal Network Performs Sequential, Category-Based DecisionsWorking Memory Requires a Combination of Transient and Attractor-Dominated Dynamics to Process Unreliably Timed Inputs.Exploratory adaptation in large random networksBiologically plausible learning in recurrent neural networks reproduces neural dynamics observed during cognitive tasks.Extreme sensitivity of reservoir computing to small network disruptions.Sensory Stream Adaptation in Chaotic Networks.Gamma and beta bursts during working memory readout suggest roles in its volitional control.A neural network model for the orbitofrontal cortex and task space acquisition during reinforcement learning.Neurons in the crow nidopallium caudolaterale encode varying durations of visual working memory periods.Driving reservoir models with oscillations: a solution to the extreme structural sensitivity of chaotic networks.full-FORCE: A target-based method for training recurrent networks.Understanding Emergent Dynamics: Using a Collective Activity Coordinate of a Neural Network to Recognize Time-Varying Patterns.Synchronization transition in neuronal networks composed of chaotic or non-chaotic oscillators.Intrinsic neuronal dynamics predict distinct functional roles during working memory
P2860
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P2860
From fixed points to chaos: three models of delayed discrimination.
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
2013年论文
@zh
2013年论文
@zh-cn
name
From fixed points to chaos: three models of delayed discrimination.
@ast
From fixed points to chaos: three models of delayed discrimination.
@en
type
label
From fixed points to chaos: three models of delayed discrimination.
@ast
From fixed points to chaos: three models of delayed discrimination.
@en
prefLabel
From fixed points to chaos: three models of delayed discrimination.
@ast
From fixed points to chaos: three models of delayed discrimination.
@en
P2093
P2860
P50
P1476
From fixed points to chaos: three models of delayed discrimination.
@en
P2093
L F Abbott
Misha Tsodyks
Ranulfo Romo
P2860
P304
P356
10.1016/J.PNEUROBIO.2013.02.002
P577
2013-02-21T00:00:00Z