Literature DB >> 26468192

Time in Cortical Circuits.

Gerald T Finnerty1, Michael N Shadlen2, Mehrdad Jazayeri3, Anna C Nobre4, Dean V Buonomano5.   

Abstract

Time is central to cognition. However, the neural basis for time-dependent cognition remains poorly understood. We explore how the temporal features of neural activity in cortical circuits and their capacity for plasticity can contribute to time-dependent cognition over short time scales. This neural activity is linked to cognition that operates in the present or anticipates events or stimuli in the near future. We focus on deliberation and planning in the context of decision making as a cognitive process that integrates information across time. We progress to consider how temporal expectations of the future modulate perception. We propose that understanding the neural basis for how the brain tells time and operates in time will be necessary to develop general models of cognition. SIGNIFICANCE STATEMENT: Time is central to cognition. However, the neural basis for time-dependent cognition remains poorly understood. We explore how the temporal features of neural activity in cortical circuits and their capacity for plasticity can contribute to time-dependent cognition over short time scales. We propose that understanding the neural basis for how the brain tells time and operates in time will be necessary to develop general models of cognition.
Copyright © 2015 the authors 0270-6474/15/3513912-05$15.00/0.

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Year:  2015        PMID: 26468192      PMCID: PMC4604229          DOI: 10.1523/JNEUROSCI.2654-15.2015

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


  57 in total

Review 1.  State-dependent computations: spatiotemporal processing in cortical networks.

Authors:  Dean V Buonomano; Wolfgang Maass
Journal:  Nat Rev Neurosci       Date:  2009-01-15       Impact factor: 34.870

Review 2.  Neural basis of the perception and estimation of time.

Authors:  Hugo Merchant; Deborah L Harrington; Warren H Meck
Journal:  Annu Rev Neurosci       Date:  2013-05-29       Impact factor: 12.449

Review 3.  Properties of the internal clock: first- and second-order principles of subjective time.

Authors:  Melissa J Allman; Sundeep Teki; Timothy D Griffiths; Warren H Meck
Journal:  Annu Rev Psychol       Date:  2013-09-11       Impact factor: 24.137

Review 4.  The representation of temporal information in perception and motor control.

Authors:  R B Ivry
Journal:  Curr Opin Neurobiol       Date:  1996-12       Impact factor: 6.627

Review 5.  Short-term synaptic plasticity.

Authors:  Robert S Zucker; Wade G Regehr
Journal:  Annu Rev Physiol       Date:  2002       Impact factor: 19.318

6.  Asynchronous pre- and postsynaptic activity induces associative long-term depression in area CA1 of the rat hippocampus in vitro.

Authors:  D Debanne; B H Gähwiler; S M Thompson
Journal:  Proc Natl Acad Sci U S A       Date:  1994-02-01       Impact factor: 11.205

Review 7.  Time, our lost dimension: toward a new theory of perception, attention, and memory.

Authors:  M R Jones
Journal:  Psychol Rev       Date:  1976-09       Impact factor: 8.934

8.  Endogenous modulation of low frequency oscillations by temporal expectations.

Authors:  Andre M Cravo; Gustavo Rohenkohl; Valentin Wyart; Anna C Nobre
Journal:  J Neurophysiol       Date:  2011-09-07       Impact factor: 2.714

9.  Temporal production signals in parietal cortex.

Authors:  Blaine A Schneider; Geoffrey M Ghose
Journal:  PLoS Biol       Date:  2012-10-30       Impact factor: 8.029

10.  Rapid Bidirectional Reorganization of Cortical Microcircuits.

Authors:  Giorgia Albieri; Samuel J Barnes; Benito de Celis Alonso; Claire E J Cheetham; Clarissa E Edwards; Andrew S Lowe; Harini Karunaratne; John P Dear; Kalok C Lee; Gerald T Finnerty
Journal:  Cereb Cortex       Date:  2014-05-16       Impact factor: 5.357

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  26 in total

1.  Temporal signals underlying a cognitive process in the dorsal premotor cortex.

Authors:  Román Rossi-Pool; Jerónimo Zizumbo; Manuel Alvarez; José Vergara; Antonio Zainos; Ranulfo Romo
Journal:  Proc Natl Acad Sci U S A       Date:  2019-03-27       Impact factor: 11.205

2.  Neurally constrained modeling of speed-accuracy tradeoff during visual search: gated accumulation of modulated evidence.

Authors:  Mathieu Servant; Gabriel Tillman; Jeffrey D Schall; Gordon D Logan; Thomas J Palmeri
Journal:  J Neurophysiol       Date:  2019-02-06       Impact factor: 2.714

Review 3.  The BDNF Val66Met Polymorphism Promotes Changes in the Neuronal Integrity and Alters the Time Perception.

Authors:  Victor Marinho; Giovanny Rebouças Pinto; Rogério Figueiredo; Carla Ayres; Juliete Bandeira; Silmar Teixeira
Journal:  J Mol Neurosci       Date:  2018-11-17       Impact factor: 3.444

4.  Consensus paper: Decoding the Contributions of the Cerebellum as a Time Machine. From Neurons to Clinical Applications.

Authors:  Martin Bareš; Richard Apps; Laura Avanzino; Assaf Breska; Egidio D'Angelo; Pavel Filip; Marcus Gerwig; Richard B Ivry; Charlotte L Lawrenson; Elan D Louis; Nicholas A Lusk; Mario Manto; Warren H Meck; Hiroshi Mitoma; Elijah A Petter
Journal:  Cerebellum       Date:  2019-04       Impact factor: 3.847

Review 5.  A Dynamical Systems Perspective on Flexible Motor Timing.

Authors:  Evan D Remington; Seth W Egger; Devika Narain; Jing Wang; Mehrdad Jazayeri
Journal:  Trends Cogn Sci       Date:  2018-10       Impact factor: 20.229

Review 6.  Space and Time: The Hippocampus as a Sequence Generator.

Authors:  György Buzsáki; David Tingley
Journal:  Trends Cogn Sci       Date:  2018-10       Impact factor: 20.229

7.  Taxonomies of Timing: Where Does the Cerebellum Fit In?

Authors:  Assaf Breska; Richard B Ivry
Journal:  Curr Opin Behav Sci       Date:  2016-04

8.  Toward an Integration of Deep Learning and Neuroscience.

Authors:  Adam H Marblestone; Greg Wayne; Konrad P Kording
Journal:  Front Comput Neurosci       Date:  2016-09-14       Impact factor: 2.380

9.  Stable functional networks exhibit consistent timing in the human brain.

Authors:  Julio I Chapeton; Sara K Inati; Kareem A Zaghloul
Journal:  Brain       Date:  2017-03-01       Impact factor: 13.501

Review 10.  Computational Principles of Supervised Learning in the Cerebellum.

Authors:  Jennifer L Raymond; Javier F Medina
Journal:  Annu Rev Neurosci       Date:  2018-07-08       Impact factor: 12.449

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