The involvement of recurrent connections in area CA3 in establishing the properties of place fields: a model.
about
A computer model of unitary responses from associational/commissural and perforant path synapses in hippocampal CA3 pyramidal cellsThe boundary vector cell model of place cell firing and spatial memory.Path-finding in real and simulated rats: assessing the influence of path characteristics on navigation learning.Forward and backward inference in spatial cognitionPlace from time: Reconstructing position from a distributed representation of temporal context.Hippocampal network dynamics constrain the time lag between pyramidal cells across modified environments.Neural dynamics of the cognitive map in the hippocampus.Attractor dynamics of spatially correlated neural activity in the limbic system.Neural Activity Patterns Underlying Spatial Coding in the Hippocampus.Noncanonical connections between the subiculum and hippocampal CA1.The structure of networks that produce the transformation from grid cells to place cellsUnveiling the metric structure of internal representations of space.Megamap: flexible representation of a large space embedded with nonspatial information by a hippocampal attractor network.From grid cells to place cells with realistic field sizes.Mechanism of highly synchronized bilateral hippocampal activity.Theta phase precession emerges from a hybrid computational model of a CA3 place cell.The spatial representations acquired in CA3 by self-organizing recurrent connectionsComplementary spatial firing in place cell-interneuron pairs.Learning and prospective recall of noisy spike pattern episodes.The temporal context model in spatial navigation and relational learning: toward a common explanation of medial temporal lobe function across domains.Collective Behavior of Place and Non-place Neurons in the Hippocampal Network.A unified model of spatial and episodic memory.Analysis of an Attractor Neural Network's Response to Conflicting External Inputs.An Energy Model of Place Cell Network in Three Dimensional Space.Recurrent network model for learning goal-directed sequences through reverse replayDendritic processing of spontaneous neuronal sequences for single-trial learning
P2860
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P2860
The involvement of recurrent connections in area CA3 in establishing the properties of place fields: a model.
description
2000 nî lūn-bûn
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2000年の論文
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2000年学术文章
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2000年学术文章
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2000年学术文章
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2000年学术文章
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2000年学术文章
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2000年學術文章
@zh-hant
name
The involvement of recurrent c ...... ties of place fields: a model.
@en
The involvement of recurrent c ...... ties of place fields: a model.
@nl
type
label
The involvement of recurrent c ...... ties of place fields: a model.
@en
The involvement of recurrent c ...... ties of place fields: a model.
@nl
prefLabel
The involvement of recurrent c ...... ties of place fields: a model.
@en
The involvement of recurrent c ...... ties of place fields: a model.
@nl
P1476
The involvement of recurrent c ...... rties of place fields: a model
@en
P2093
P304
P356
10.1523/JNEUROSCI.20-19-07463.2000
P407
P577
2000-10-01T00:00:00Z