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Literature DB >> 16242397

Attractor neural networks and spatial maps in hippocampus.

Abstract

Attractor neural network theory has been proposed as a theory for long-term memory. Recent studies of hippocampal place cells, including a study by Leutgeb et al. in this issue of Neuron, address the potential role of attractor dynamics in the formation of hippocampal representations of spatial maps.

Mesh：

Year: 2005 PMID： 16242397 DOI： 10.1016/j.neuron.2005.10.006

Source DB: PubMed Journal: Neuron ISSN： 0896-6273 Impact factor: 17.173

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Cited

5 in total

1. Transient optogenetic inactivation of the medial entorhinal cortex biases the active population of hippocampal neurons.

Authors: Jon W Rueckemann; Audrey J DiMauro; Lara M Rangel; Xue Han; Edward S Boyden; Howard Eichenbaum
Journal: Hippocampus Date: 2015-10-01 Impact factor: 3.899

2. Hyperconnectivity and slow synapses during early development of medial prefrontal cortex in a mouse model for mental retardation and autism.

Authors: Guilherme Testa-Silva; Alex Loebel; Michele Giugliano; Christiaan P J de Kock; Huibert D Mansvelder; Rhiannon M Meredith
Journal: Cereb Cortex Date: 2011-08-19 Impact factor: 5.357

Attractor neural networks and spatial maps in hippocampus.

1. Transient optogenetic inactivation of the medial entorhinal cortex biases the active population of hippocampal neurons.

2. Hyperconnectivity and slow synapses during early development of medial prefrontal cortex in a mouse model for mental retardation and autism.

3. Memory dynamics in attractor networks.

4. Place cell rate remapping by CA3 recurrent collaterals.

5. A Topological Model of the Hippocampal Cell Assembly Network.