Internal representation of task rules by recurrent dynamics: the importance of the diversity of neural responses
about
Dynamical systems, attractors, and neural circuitsSelection of cortical dynamics for motor behaviour by the basal gangliaConcurrent brain responses to separate auditory and visual targetsNeural population coding: combining insights from microscopic and mass signalsSynthesizing cognition in neuromorphic electronic systems.Recurrent temporal networks and language acquisition-from corticostriatal neurophysiology to reservoir computingSignals in inferotemporal and perirhinal cortex suggest an untangling of visual target information.The role of domain-general cognitive control in language comprehensionComplexity and compositionality in fluid intelligence.Synaptic plasticity and connectivity requirements to produce stimulus-pair specific responses in recurrent networks of spiking neurons.Attractor concretion as a mechanism for the formation of context representations.Representational switching by dynamical reorganization of attractor structure in a network model of the prefrontal cortex.The structure of cognition: attentional episodes in mind and brainSensorimotor learning biases choice behavior: a learning neural field model for decision makingComputational psychiatry.A reservoir of time constants for memory traces in cortical neuronsTask-dependent changes in short-term memory in the prefrontal cortex.Control of the superior colliculus by the lateral prefrontal cortex.Improper activation of D1 and D2 receptors leads to excess noise in prefrontal cortex.Excitatory, inhibitory, and structural plasticity produce correlated connectivity in random networks trained to solve paired-stimulus tasksHigh Accuracy Decoding of Dynamical Motion from a Large Retinal PopulationNeural population coding of multiple stimuliTraining Excitatory-Inhibitory Recurrent Neural Networks for Cognitive Tasks: A Simple and Flexible Framework.Reservoir Computing Properties of Neural Dynamics in Prefrontal CortexDynamic afferent synapses to decision-making networks improve performance in tasks requiring stimulus associations and discriminations.Attention, learning, and the value of informationOpening the gate to working memory.Rapid instructed task learning: a new window into the human brain's unique capacity for flexible cognitive control.Stimulus number, duration and intensity encoding in randomly connected attractor networks with synaptic depression.Heterogeneous attractor cell assemblies for motor planning in premotor cortex.Adaptive learning and decision-making under uncertainty by metaplastic synapses guided by a surprise detection system.Synchronous oscillatory neural ensembles for rules in the prefrontal cortex.Neural dynamics underlying target detection in the human brain.Revisiting the role of persistent neural activity during working memory.Robust transient dynamics and brain functions.The "working" of working memory.Goal-direction and top-down control.Semantic integration by pattern priming: experiment and cortical network model.Reward-based training of recurrent neural networks for cognitive and value-based tasksNetwork resets in medial prefrontal cortex mark the onset of behavioral uncertainty.
P2860
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P2860
Internal representation of task rules by recurrent dynamics: the importance of the diversity of neural responses
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
2010年论文
@zh
2010年论文
@zh-cn
name
Internal representation of tas ...... diversity of neural responses
@en
Internal representation of tas ...... diversity of neural responses
@nl
type
label
Internal representation of tas ...... diversity of neural responses
@en
Internal representation of tas ...... diversity of neural responses
@nl
prefLabel
Internal representation of tas ...... diversity of neural responses
@en
Internal representation of tas ...... diversity of neural responses
@nl
P2093
P2860
P356
P1476
Internal representation of tas ...... diversity of neural responses
@en
P2093
Daniel Ben Dayan Rubin
Mattia Rigotti
Xiao-Jing Wang
P2860
P356
10.3389/FNCOM.2010.00024
P577
2010-10-04T00:00:00Z