Literature DB >> 11331394

Coding specificity in cortical microcircuits: a multiple-electrode analysis of primate prefrontal cortex.

C Constantinidis1, M N Franowicz, P S Goldman-Rakic.   

Abstract

Neurons with directional specificities are active in the prefrontal cortex (PFC) during tasks that require spatial working memory. Although the coordination of neuronal activity in PFC is thought to be maintained by a network of recurrent connections, direct physiological evidence regarding such networks is sparse. To gain insight into the functional organization of the working memory system in vivo, we recorded simultaneously from multiple neurons spaced 0.2-1 mm apart in monkeys performing an oculomotor delayed response task. We used cross-correlation analysis and characterized the effective connectivity between neurons in relation to their spatial and temporal response properties. The majority of narrow (<5 msec) cross-correlation peaks indicated common input and were most often observed between pairs of neurons within 0.3 mm of each other. Neurons recorded at these distances represented the full range of spatial locations, suggesting that the entire visual hemifield is represented in modules of corresponding dimensions. Nearby neurons could be activated in any epoch of the behavioral task (stimulus presentation, delay, response). The incidence and strength of cross-correlation, however, was highest among cells sharing similar spatial tuning and similar temporal profiles of activation across task epochs. The dependence of correlated discharge on the functional properties of neurons was observed both when we analyzed firing from the task period as well as from baseline fixation. Our results suggest that the coding specificity of individual neurons extends to the local circuits of which they are part.

Mesh:

Year:  2001        PMID: 11331394      PMCID: PMC6762477     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  72 in total

1.  Dual streams of auditory afferents target multiple domains in the primate prefrontal cortex.

Authors:  L M Romanski; B Tian; J Fritz; M Mishkin; P S Goldman-Rakic; J P Rauschecker
Journal:  Nat Neurosci       Date:  1999-12       Impact factor: 24.884

2.  Isodirectional tuning of adjacent interneurons and pyramidal cells during working memory: evidence for microcolumnar organization in PFC.

Authors:  S G Rao; G V Williams; P S Goldman-Rakic
Journal:  J Neurophysiol       Date:  1999-04       Impact factor: 2.714

3.  Functional specificity of a long-range horizontal connection in cat visual cortex: a cross-correlation study.

Authors:  C Schwarz; J Bolz
Journal:  J Neurosci       Date:  1991-10       Impact factor: 6.167

4.  Functional interactions among neurons in inferior temporal cortex of the awake macaque.

Authors:  P M Gochin; E K Miller; C G Gross; G L Gerstein
Journal:  Exp Brain Res       Date:  1991       Impact factor: 1.972

5.  Synaptic targets of pyramidal neurons providing intrinsic horizontal connections in monkey prefrontal cortex.

Authors:  D S Melchitzky; S R Sesack; M L Pucak; D A Lewis
Journal:  J Comp Neurol       Date:  1998-01-12       Impact factor: 3.215

6.  Parallel processing by a homogeneous group of coupled model neurons can enhance, reduce and generate signal correlations.

Authors:  E Juergens; R Eckhorn
Journal:  Biol Cybern       Date:  1997-03       Impact factor: 2.086

7.  Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex.

Authors:  D J Amit; N Brunel
Journal:  Cereb Cortex       Date:  1997 Apr-May       Impact factor: 5.357

8.  Multimicroelectrode investigation of monkey striate cortex: spike train correlations in the infragranular layers.

Authors:  J Krüger; F Aiple
Journal:  J Neurophysiol       Date:  1988-08       Impact factor: 2.714

9.  Lateral geniculate neurons of cat: retinal inputs and physiology.

Authors:  W R Levick; B G Cleland; M W Dubin
Journal:  Invest Ophthalmol       Date:  1972-05

10.  Dynamics of neuronal interactions in monkey cortex in relation to behavioural events.

Authors:  E Vaadia; I Haalman; M Abeles; H Bergman; Y Prut; H Slovin; A Aertsen
Journal:  Nature       Date:  1995-02-09       Impact factor: 49.962

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  78 in total

1.  Prefrontal microcircuits: membrane properties and excitatory input of local, medium, and wide arbor interneurons.

Authors:  L S Krimer; P S Goldman-Rakic
Journal:  J Neurosci       Date:  2001-06-01       Impact factor: 6.167

2.  Neural activity in prefrontal cortex during copying geometrical shapes. II. Decoding shape segments from neural ensembles.

Authors:  Bruno B Averbeck; David A Crowe; Matthew V Chafee; Apostolos P Georgopoulos
Journal:  Exp Brain Res       Date:  2003-04-01       Impact factor: 1.972

3.  Correlated neural variability in persistent state networks.

Authors:  Amber Polk; Ashok Litwin-Kumar; Brent Doiron
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-02       Impact factor: 11.205

4.  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

Review 5.  Attention and cognitive control as emergent properties of information representation in working memory.

Authors:  Susan M Courtney
Journal:  Cogn Affect Behav Neurosci       Date:  2004-12       Impact factor: 3.282

Review 6.  The primate working memory networks.

Authors:  Christos Constantinidis; Emmanuel Procyk
Journal:  Cogn Affect Behav Neurosci       Date:  2004-12       Impact factor: 3.282

7.  Functional connectivity during working memory maintenance.

Authors:  Adam Gazzaley; Jesse Rissman; Mark D'Esposito
Journal:  Cogn Affect Behav Neurosci       Date:  2004-12       Impact factor: 3.282

8.  Dynamic synchrony of firing in the monkey prefrontal cortex during working-memory tasks.

Authors:  Yoshio Sakurai; Susumu Takahashi
Journal:  J Neurosci       Date:  2006-10-04       Impact factor: 6.167

Review 9.  From cognitive to neural models of working memory.

Authors:  Mark D'Esposito
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-05-29       Impact factor: 6.237

Review 10.  Working Memory 2.0.

Authors:  Earl K Miller; Mikael Lundqvist; André M Bastos
Journal:  Neuron       Date:  2018-10-24       Impact factor: 17.173

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