Higher-dimensional neurons explain the tuning and dynamics of working memory cells.
about
Python scripting in the nengo simulatorToward an Integration of Deep Learning and NeuroscienceOptogenetic perturbations reveal the dynamics of an oculomotor integrator.Nengo: a Python tool for building large-scale functional brain models.Timing over tuning: overcoming the shortcomings of a line attractor during a working memory task.Working memory cells' behavior may be explained by cross-regional networks with synaptic facilitation.Fine-tuning and the stability of recurrent neural networks.Distractor frequency influences performance in vibrotactile working memory.Functional, but not anatomical, separation of "what" and "when" in prefrontal cortexRapid sequences of population activity patterns dynamically encode task-critical spatial information in parietal cortexA unifying mechanistic model of selective attention in spiking neurons.Optimizing Semantic Pointer Representations for Symbol-Like Processing in Spiking Neural Networks.A Simple Network Architecture Accounts for Diverse Reward Time Responses in Primary Visual CortexFrom fixed points to chaos: three models of delayed discrimination.Spatial gradients and multidimensional dynamics in a neural integrator circuitMistakes were made: neural mechanisms for the adaptive control of action initiation by the medial prefrontal cortex.Biologically Plausible, Human-Scale Knowledge Representation.Mechanisms of Persistent Activity in Cortical Circuits: Possible Neural Substrates for Working Memory.Obtaining Arbitrary Prescribed Mean Field Dynamics for Recurrently Coupled Networks of Type-I Spiking Neurons with Analytically Determined Weights.The Effects of Guanfacine and Phenylephrine on a Spiking Neuron Model of Working Memory.Neuronal pattern separation of motion-relevant input in LIP activity.Noise tolerance of attractor and feedforward memory models.Computing by Robust Transience: How the Fronto-Parietal Network Performs Sequential, Category-Based DecisionsSpiking Neural Network Decoder for Brain-Machine InterfacesCausal Inference for Cross-Modal Action Selection: A Computational Study in a Decision Making Framework.Population coding in sparsely connected networks of noisy neurons.Heterogenous population coding of a short-term memory and decision task.Neuronal circuits underlying persistent representations despite time varying activityDesign and validation of a real-time spiking-neural-network decoder for brain-machine interfaces.Choice-specific sequences in parietal cortex during a virtual-navigation decision task.A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm.Irrelevant sensory stimuli interfere with working memory storage: evidence from a computational model of prefrontal neurons.Improving Spiking Dynamical Networks: Accurate Delays, Higher-Order Synapses, and Time Cells.Sequential Firing Codes for Time in Rodent Medial Prefrontal Cortex.Surrogate population models for large-scale neural simulations.How to compare two quantities? A computational model of flutter discrimination.Cell Assembly Signatures Defined by Short-Term Synaptic Plasticity in Cortical Networks.Normalization for probabilistic inference with neurons.Design of continuous attractor networks with monotonic tuning using a symmetry principle.Cannabinoid-mediated disinhibition and working memory: dynamical interplay of multiple feedback mechanisms in a continuous attractor model of prefrontal cortex.
P2860
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P2860
Higher-dimensional neurons explain the tuning and dynamics of working memory cells.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh-hant
name
Higher-dimensional neurons explain the tuning and dynamics of working memory cells.
@en
Higher-dimensional neurons explain the tuning and dynamics of working memory cells.
@nl
type
label
Higher-dimensional neurons explain the tuning and dynamics of working memory cells.
@en
Higher-dimensional neurons explain the tuning and dynamics of working memory cells.
@nl
prefLabel
Higher-dimensional neurons explain the tuning and dynamics of working memory cells.
@en
Higher-dimensional neurons explain the tuning and dynamics of working memory cells.
@nl
P1476
Higher-dimensional neurons explain the tuning and dynamics of working memory cells
@en
P2093
Chris Eliasmith
P304
P356
10.1523/JNEUROSCI.4864-05.2006
P407
P577
2006-04-01T00:00:00Z