Literature DB >> 12750901

Time representing cortical activities: two models inspired by prefrontal persistent activity.

K Kitano1, H Okamoto, T Fukai.   

Abstract

Timing information in the range of seconds is significantly correlated with our behavior. There is growing interest in the cognitive behaviors that rely on perception, comparison, or generation of timing. However, little is known about the neural mechanisms underlying such behaviors. Here we model two different neural mechanisms to represent timing information in the range of seconds. In one model, a recurrent network of bistable spiking neurons shows a quasistable state that is initiated by a brief input and typically lasts for a few to several seconds. The duration of this quasistable activity may be regarded as the neural representation of internal time obeying a psychophysical law of time recognition. Another model uses synfire chains to provide the timing information necessary for predicting the times of anticipated events. In this model, the neurons projected to by multiple synfire chains are conditioned to fire synchronously at the times when an external event (GO signal) is expected. The conditioning is accomplished by spike-timing-dependent plasticity. The two models are inspired by the prefrontal activities of the monkeys engaging in different timing-information-related tasks. Thus, this cortical region may provide the timing information required for organizing various behaviors.

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Year:  2003        PMID: 12750901     DOI: 10.1007/s00422-002-0390-6

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  11 in total

1.  Temporal characteristics of the predictive synchronous firing modeled by spike-timing-dependent plasticity.

Authors:  Katsunori Kitano; Tomoki Fukai
Journal:  Learn Mem       Date:  2004 May-Jun       Impact factor: 2.460

2.  The neural correlates of implicit and explicit sequence learning: Interacting networks revealed by the process dissociation procedure.

Authors:  Arnaud Destrebecqz; Philippe Peigneux; Steven Laureys; Christian Degueldre; Guy Del Fiore; Joël Aerts; André Luxen; Martial Van Der Linden; Axel Cleeremans; Pierre Maquet
Journal:  Learn Mem       Date:  2005-09-15       Impact factor: 2.460

3.  Heterogeneous attractor cell assemblies for motor planning in premotor cortex.

Authors:  Maurizio Mattia; Pierpaolo Pani; Giovanni Mirabella; Stefania Costa; Paolo Del Giudice; Stefano Ferraina
Journal:  J Neurosci       Date:  2013-07-03       Impact factor: 6.167

4.  A neurocomputational model for optimal temporal processing.

Authors:  Joachim Hass; Stefan Blaschke; Thomas Rammsayer; J Michael Herrmann
Journal:  J Comput Neurosci       Date:  2008-04-01       Impact factor: 1.621

5.  Stability of discrete memory states to stochastic fluctuations in neuronal systems.

Authors:  Paul Miller; Xiao-Jing Wang
Journal:  Chaos       Date:  2006-06       Impact factor: 3.642

6.  Bistable perception modeled as competing stochastic integrations at two levels.

Authors:  Guido Gigante; Maurizio Mattia; Jochen Braun; Paolo Del Giudice
Journal:  PLoS Comput Biol       Date:  2009-07-10       Impact factor: 4.475

7.  A biologically plausible model of time-scale invariant interval timing.

Authors:  Rita Almeida; Anders Ledberg
Journal:  J Comput Neurosci       Date:  2009-10-28       Impact factor: 1.621

Review 8.  Serotonergic hallucinogens as translational models relevant to schizophrenia.

Authors:  Adam L Halberstadt; Mark A Geyer
Journal:  Int J Neuropsychopharmacol       Date:  2013-08-13       Impact factor: 5.176

9.  Triphasic spike-timing-dependent plasticity organizes networks to produce robust sequences of neural activity.

Authors:  Amelia Waddington; Peter A Appleby; Marc De Kamps; Netta Cohen
Journal:  Front Comput Neurosci       Date:  2012-11-12       Impact factor: 2.380

10.  Trading speed and accuracy by coding time: a coupled-circuit cortical model.

Authors:  Dominic Standage; Hongzhi You; Da-Hui Wang; Michael C Dorris
Journal:  PLoS Comput Biol       Date:  2013-04-04       Impact factor: 4.475

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