Literature DB >> 15534040

A neural circuit basis for spatial working memory.

Christos Constantinidis1, Xiao-Jing Wang.   

Abstract

The maintenance of a mental image in memory over a time scale of seconds is mediated by the persistent discharges of neurons in a distributed brain network. The representation of the spatial location of a remembered visual stimulus has been studied most extensively and provides the best-understood model of how mnemonic information is encoded in the brain. Neural correlates of spatial working memory are manifested in multiple brain areas, including the prefrontal and parietal association cortices. Spatial working memory ability is severely compromised in schizophrenia, a condition that has been linked to prefrontal cortical malfunction. Recent computational modeling work, in interplay with physiological studies of behaving monkeys, has begun to identify microcircuit properties and neural dynamics that are sufficient to generate memory-related persistent activity in a recurrent network of excitatory and inhibitory neurons during spatial working memory. This review summarizes recent results and discusses issues of current debate. It is argued that understanding collective neural dynamics in a recurrent microcircuit provides a key step in bridging the gap between network memory function and its underlying cellular mechanisms. Progress in this direction will shed fundamental insights into the neural basis of spatial working memory impairment associated with mental disorders.

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Year:  2004        PMID: 15534040     DOI: 10.1177/1073858404268742

Source DB:  PubMed          Journal:  Neuroscientist        ISSN: 1073-8584            Impact factor:   7.519


  66 in total

Review 1.  Neurophysiological and computational principles of cortical rhythms in cognition.

Authors:  Xiao-Jing Wang
Journal:  Physiol Rev       Date:  2010-07       Impact factor: 37.312

2.  Muscarinic receptor activation enables persistent firing in pyramidal neurons from superficial layers of dorsal perirhinal cortex.

Authors:  Vicky L Navaroli; Yanjun Zhao; Pawel Boguszewski; Thomas H Brown
Journal:  Hippocampus       Date:  2011-09-28       Impact factor: 3.899

3.  Prefrontal spatial working memory network predicts animal's decision making in a free choice saccade task.

Authors:  Kei Mochizuki; Shintaro Funahashi
Journal:  J Neurophysiol       Date:  2015-10-21       Impact factor: 2.714

4.  Neuronal Kmt2a/Mll1 histone methyltransferase is essential for prefrontal synaptic plasticity and working memory.

Authors:  Mira Jakovcevski; Hongyu Ruan; Erica Y Shen; Aslihan Dincer; Behnam Javidfar; Qi Ma; Cyril J Peter; Iris Cheung; Amanda C Mitchell; Yan Jiang; Cong L Lin; Venu Pothula; A Francis Stewart; Patricia Ernst; Wei-Dong Yao; Schahram Akbarian
Journal:  J Neurosci       Date:  2015-04-01       Impact factor: 6.167

5.  Transient neuronal correlations underlying goal selection and maintenance in prefrontal cortex.

Authors:  Satoshi Tsujimoto; Aldo Genovesio; Steven P Wise
Journal:  Cereb Cortex       Date:  2008-03-20       Impact factor: 5.357

6.  An integrated microcircuit model of attentional processing in the neocortex.

Authors:  Salva Ardid; Xiao-Jing Wang; Albert Compte
Journal:  J Neurosci       Date:  2007-08-08       Impact factor: 6.167

7.  Medial temporal lobe activity predicts successful relational memory binding.

Authors:  Deborah E Hannula; Charan Ranganath
Journal:  J Neurosci       Date:  2008-01-02       Impact factor: 6.167

8.  Mechanism for top-down control of working memory capacity.

Authors:  Fredrik Edin; Torkel Klingberg; Pär Johansson; Fiona McNab; Jesper Tegnér; Albert Compte
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-01       Impact factor: 11.205

9.  Encoding certainty in bump attractors.

Authors:  Sam Carroll; Krešimir Josić; Zachary P Kilpatrick
Journal:  J Comput Neurosci       Date:  2013-11-24       Impact factor: 1.621

Review 10.  A link between neuroscience and informatics: large-scale modeling of memory processes.

Authors:  Barry Horwitz; Jason F Smith
Journal:  Methods       Date:  2008-04       Impact factor: 3.608

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