Literature DB >> 28737487

Task-dependent recurrent dynamics in visual cortex.

Satohiro Tajima1,2, Kowa Koida3, Chihiro I Tajima4, Hideyuki Suzuki5, Kazuyuki Aihara6,7, Hidehiko Komatsu7,8.   

Abstract

The capacity for flexible sensory-action association in animals has been related to context-dependent attractor dynamics outside the sensory cortices. Here, we report a line of evidence that flexibly modulated attractor dynamics during task switching are already present in the higher visual cortex in macaque monkeys. With a nonlinear decoding approach, we can extract the particular aspect of the neural population response that reflects the task-induced emergence of bistable attractor dynamics in a neural population, which could be obscured by standard unsupervised dimensionality reductions such as PCA. The dynamical modulation selectively increases the information relevant to task demands, indicating that such modulation is beneficial for perceptual decisions. A computational model that features nonlinear recurrent interaction among neurons with a task-dependent background input replicates the key properties observed in the experimental data. These results suggest that the context-dependent attractor dynamics involving the sensory cortex can underlie flexible perceptual abilities.

Entities:  

Keywords:  category; central visual pathways; color vision; dynamical systems; neuroscience; population coding; rhesus macaque; task demand

Mesh:

Year:  2017        PMID: 28737487      PMCID: PMC5544435          DOI: 10.7554/eLife.26868

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  65 in total

1.  Contrast's effect on spatial summation by macaque V1 neurons.

Authors:  M P Sceniak; D L Ringach; M J Hawken; R Shapley
Journal:  Nat Neurosci       Date:  1999-08       Impact factor: 24.884

2.  Optimal representation of sensory information by neural populations.

Authors:  Mehrdad Jazayeri; J Anthony Movshon
Journal:  Nat Neurosci       Date:  2006-04-16       Impact factor: 24.884

3.  Bayesian inference with probabilistic population codes.

Authors:  Wei Ji Ma; Jeffrey M Beck; Peter E Latham; Alexandre Pouget
Journal:  Nat Neurosci       Date:  2006-10-22       Impact factor: 24.884

4.  Contrast-dependent, contextual response modulation in primary visual cortex and lateral geniculate nucleus of the cat.

Authors:  Osamu Sadakane; Hirofumi Ozeki; Tomoyuki Naito; Takafumi Akasaki; Takuji Kasamatsu; Hiromichi Sato
Journal:  Eur J Neurosci       Date:  2006-03       Impact factor: 3.386

5.  Population imaging of ongoing neuronal activity in the visual cortex of awake rats.

Authors:  David S Greenberg; Arthur R Houweling; Jason N D Kerr
Journal:  Nat Neurosci       Date:  2008-06-15       Impact factor: 24.884

6.  Vector reconstruction from firing rates.

Authors:  E Salinas; L F Abbott
Journal:  J Comput Neurosci       Date:  1994-06       Impact factor: 1.621

7.  Probability density estimation for the interpretation of neural population codes.

Authors:  T D Sanger
Journal:  J Neurophysiol       Date:  1996-10       Impact factor: 2.714

Review 8.  Measuring and interpreting neuronal correlations.

Authors:  Marlene R Cohen; Adam Kohn
Journal:  Nat Neurosci       Date:  2011-06-27       Impact factor: 24.884

9.  A Bayesian Model of Conditioned Perception.

Authors:  Alan A Stocker; Eero P Simoncelli
Journal:  Adv Neural Inf Process Syst       Date:  2007

10.  Sensory integration dynamics in a hierarchical network explains choice probabilities in cortical area MT.

Authors:  Klaus Wimmer; Albert Compte; Alex Roxin; Diogo Peixoto; Alfonso Renart; Jaime de la Rocha
Journal:  Nat Commun       Date:  2015-02-04       Impact factor: 14.919

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  5 in total

1.  Task-induced neural covariability as a signature of approximate Bayesian learning and inference.

Authors:  Richard D Lange; Ralf M Haefner
Journal:  PLoS Comput Biol       Date:  2022-03-08       Impact factor: 4.475

2.  Neural signature of the perceptual decision in the neural population responses of the inferior temporal cortex.

Authors:  Mohammad-Reza A Dehaqani; Nazli Emadi; Abdol-Hossein Vahabie; Amin Zandvakili; Hossein Esteky
Journal:  Sci Rep       Date:  2022-05-23       Impact factor: 4.996

3.  Linear Integration of Sensory Evidence over Space and Time Underlies Face Categorization.

Authors:  Gouki Okazawa; Long Sha; Roozbeh Kiani
Journal:  J Neurosci       Date:  2021-07-29       Impact factor: 6.167

4.  A confirmation bias in perceptual decision-making due to hierarchical approximate inference.

Authors:  Richard D Lange; Ankani Chattoraj; Jeffrey M Beck; Jacob L Yates; Ralf M Haefner
Journal:  PLoS Comput Biol       Date:  2021-11-29       Impact factor: 4.475

5.  Cortical feedback loops bind distributed representations of working memory.

Authors:  Ivan Voitov; Thomas D Mrsic-Flogel
Journal:  Nature       Date:  2022-07-27       Impact factor: 69.504

  5 in total

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