Literature DB >> 21098286

Trial-to-trial variability of the prefrontal neurons reveals the nature of their engagement in a motion discrimination task.

Cory Hussar1, Tatiana Pasternak.   

Abstract

During motion discrimination tasks, many prefrontal cortex (PFC) neurons are strongly modulated by the behavioral context, suggesting their involvement in sensory discriminations. Recent studies suggest that trial-to-trial variability of spiking activity characteristic of cortical neurons could be a source of information about the state of neurons and their participation in behavioral tasks. We tested this hypothesis by examining the variability of putative pyramidal PFC neurons, a likely source of top-down influences. The variability of these neurons was calculated as a ratio of spike count variance to its mean (fano factor, FF), while monkeys compared the directions of two moving stimuli, sample and test, separated by a delay. We found that the FF tracked consecutive components of the task, dropping rapidly with the onset of stimuli being discriminated and declining more slowly before each salient event of the trial: The sample, the test, and the response. These time-dependent signals were less consistent in direction selective neurons and were largely absent during passive fixation. Furthermore, neurons with test responses that reflected the remembered sample decreased their FF well before the test, revealing the predictive nature of response variability, an effect present only during the active task. The FF was also sensitive to behavioral performance, exhibiting different temporal dynamics on error trials. These changes did not depend on firing rates and were often the only metric correlated with task demands. Our results demonstrate that trial-to-trial variability provides a sensitive measure of the engagement of putative pyramidal PFC neurons in circuits subserving discrimination tasks.

Mesh:

Year:  2010        PMID: 21098286      PMCID: PMC3003075          DOI: 10.1073/pnas.1009956107

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  19 in total

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Authors:  Mark M Churchland; Byron M Yu; Stephen I Ryu; Gopal Santhanam; Krishna V Shenoy
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Authors:  Mark M Churchland; Gopal Santhanam; Krishna V Shenoy
Journal:  J Neurophysiol       Date:  2006-07-19       Impact factor: 2.714

3.  Efferent association pathways originating in the caudal prefrontal cortex in the macaque monkey.

Authors:  M Petrides; D N Pandya
Journal:  J Comp Neurol       Date:  2006-09-10       Impact factor: 3.215

4.  Directional signals in the prefrontal cortex and in area MT during a working memory for visual motion task.

Authors:  Daniel Zaksas; Tatiana Pasternak
Journal:  J Neurosci       Date:  2006-11-08       Impact factor: 6.167

5.  Differential attention-dependent response modulation across cell classes in macaque visual area V4.

Authors:  Jude F Mitchell; Kristy A Sundberg; John H Reynolds
Journal:  Neuron       Date:  2007-07-05       Impact factor: 17.173

6.  Spatial attention decorrelates intrinsic activity fluctuations in macaque area V4.

Authors:  Jude F Mitchell; Kristy A Sundberg; John H Reynolds
Journal:  Neuron       Date:  2009-09-24       Impact factor: 17.173

7.  Trial-to-trial variability of single cells in motor cortices is dynamically modified during visuomotor adaptation.

Authors:  Yael Mandelblat-Cerf; Rony Paz; Eilon Vaadia
Journal:  J Neurosci       Date:  2009-12-02       Impact factor: 6.167

8.  The variable discharge of cortical neurons: implications for connectivity, computation, and information coding.

Authors:  M N Shadlen; W T Newsome
Journal:  J Neurosci       Date:  1998-05-15       Impact factor: 6.167

Review 9.  Noise, neural codes and cortical organization.

Authors:  M N Shadlen; W T Newsome
Journal:  Curr Opin Neurobiol       Date:  1994-08       Impact factor: 6.627

10.  Attention improves performance primarily by reducing interneuronal correlations.

Authors:  Marlene R Cohen; John H R Maunsell
Journal:  Nat Neurosci       Date:  2009-11-15       Impact factor: 24.884

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  34 in total

1.  Lower neuronal variability in the monkey dorsolateral prefrontal than posterior parietal cortex.

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Journal:  J Neurophysiol       Date:  2015-08-12       Impact factor: 2.714

2.  Natural grouping of neural responses reveals spatially segregated clusters in prearcuate cortex.

Authors:  Roozbeh Kiani; Christopher J Cueva; John B Reppas; Diogo Peixoto; Stephen I Ryu; William T Newsome
Journal:  Neuron       Date:  2015-02-26       Impact factor: 17.173

3.  Spatial representation and cognitive modulation of response variability in the lateral intraparietal area priority map.

Authors:  Annegret L Falkner; Michael E Goldberg; B Suresh Krishna
Journal:  J Neurosci       Date:  2013-10-09       Impact factor: 6.167

4.  Working memory performance and neural activity in prefrontal cortex of peripubertal monkeys.

Authors:  Xin Zhou; Dantong Zhu; Xue-Lian Qi; Cynthia J Lees; Allyson J Bennett; Emilio Salinas; Terrence R Stanford; Christos Constantinidis
Journal:  J Neurophysiol       Date:  2013-09-18       Impact factor: 2.714

5.  Dynamics of the functional link between area MT LFPs and motion detection.

Authors:  Jackson E T Smith; Vincent Beliveau; Alan Schoen; Jordana Remz; Chang'an A Zhan; Erik P Cook
Journal:  J Neurophysiol       Date:  2015-05-06       Impact factor: 2.714

6.  Unilateral prefrontal lesions impair memory-guided comparisons of contralateral visual motion.

Authors:  Tatiana Pasternak; Leo L Lui; Philip M Spinelli
Journal:  J Neurosci       Date:  2015-05-06       Impact factor: 6.167

7.  Neural Variability Is Quenched by Attention.

Authors:  Ayelet Arazi; Yaffa Yeshurun; Ilan Dinstein
Journal:  J Neurosci       Date:  2019-05-31       Impact factor: 6.167

8.  Common rules guide comparisons of speed and direction of motion in the dorsolateral prefrontal cortex.

Authors:  Cory R Hussar; Tatiana Pasternak
Journal:  J Neurosci       Date:  2013-01-16       Impact factor: 6.167

9.  Linking neural activity to complex decisions.

Authors:  Benjamin Hayden; Tatiana Pasternak
Journal:  Vis Neurosci       Date:  2013-09-16       Impact factor: 3.241

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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