Literature DB >> 17728448

A microcircuit model of the frontal eye fields.

Jakob Heinzle1, Klaus Hepp, Kevan A C Martin.   

Abstract

The cortical control of eye movements is highly sophisticated. Not only can eye movements be made to the most salient target in a visual scene, but they can also be controlled by top-down rules as is required for visual search or reading. The cortical area called frontal eye fields (FEF) has been shown to play a key role in the visual to oculomotor transformations in tasks requiring an eye movement pattern that is not completely reactive, but follows a previously learned rule. The layered, local cortical circuit, which provides the anatomical substrate for all cortical computation, has been studied extensively in primary sensory cortex. These studies led to the concept of a "canonical circuit" for neocortex (Douglas et al., 1989; Douglas and Martin, 1991), which proposes that all areas of neocortex share a common basic circuit. However, it has not ever been explored whether in principle the detailed canonical circuit derived from cat area 17 (Binzegger et al., 2004) could implement the quite different functions of prefrontal cortex. Here, we show that the canonical circuit can, with a few modifications, model the primate FEF. The spike-based network of integrate-and-fire neurons was tested in tasks that were used in electrophysiological experiments in behaving macaque monkeys. The dynamics of the model matched those of neurons observed in the FEF, and the behavioral results matched those observed in psychophysical experiments. The close relationship between the model and the cortical architecture allows a detailed comparison of the simulation results with physiological data and predicts details of the anatomical circuit of the FEF.

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Year:  2007        PMID: 17728448      PMCID: PMC6673112          DOI: 10.1523/JNEUROSCI.0974-07.2007

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


  65 in total

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Authors:  M A Sommer; R H Wurtz
Journal:  J Neurophysiol       Date:  2000-04       Impact factor: 2.714

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4.  Neuronal switching of sensorimotor transformations for antisaccades.

Authors:  M Zhang; S Barash
Journal:  Nature       Date:  2000 Dec 21-28       Impact factor: 49.962

5.  Role of primate superior colliculus in preparation and execution of anti-saccades and pro-saccades.

Authors:  S Everling; M C Dorris; R M Klein; D P Munoz
Journal:  J Neurosci       Date:  1999-04-01       Impact factor: 6.167

6.  Spatial processing in the monkey frontal eye field. II. Memory responses.

Authors:  M M Umeno; M E Goldberg
Journal:  J Neurophysiol       Date:  2001-11       Impact factor: 2.714

7.  Effects of stimulus-response compatibility on neural selection in frontal eye field.

Authors:  Takashi R Sato; Jeffrey D Schall
Journal:  Neuron       Date:  2003-05-22       Impact factor: 17.173

8.  Selective gating of visual signals by microstimulation of frontal cortex.

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Journal:  Nature       Date:  2003-01-23       Impact factor: 49.962

9.  Muscimol-induced inactivation of monkey frontal eye field: effects on visually and memory-guided saccades.

Authors:  E C Dias; M A Segraves
Journal:  J Neurophysiol       Date:  1999-05       Impact factor: 2.714

10.  Frontal eye field sends delay activity related to movement, memory, and vision to the superior colliculus.

Authors:  M A Sommer; R H Wurtz
Journal:  J Neurophysiol       Date:  2001-04       Impact factor: 2.714

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  26 in total

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3.  What's black and white about the grey matter?

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Journal:  Cogn Affect Behav Neurosci       Date:  2011-12       Impact factor: 3.282

Review 5.  Accumulators, Neurons, and Response Time.

Authors:  Jeffrey D Schall
Journal:  Trends Neurosci       Date:  2019-11-05       Impact factor: 13.837

6.  Division of labor in frontal eye field neurons during presaccadic remapping of visual receptive fields.

Authors:  Sooyoon Shin; Marc A Sommer
Journal:  J Neurophysiol       Date:  2012-07-18       Impact factor: 2.714

7.  Microcircuitry of agranular frontal cortex: testing the generality of the canonical cortical microcircuit.

Authors:  David C Godlove; Alexander Maier; Geoffrey F Woodman; Jeffrey D Schall
Journal:  J Neurosci       Date:  2014-04-09       Impact factor: 6.167

8.  Whose Cortical Column Would that Be?

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Journal:  Front Neuroanat       Date:  2010-05-31       Impact factor: 3.856

9.  The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model.

Authors:  Tobias C Potjans; Markus Diesmann
Journal:  Cereb Cortex       Date:  2012-12-02       Impact factor: 5.357

10.  Visual and motor connectivity and the distribution of calcium-binding proteins in macaque frontal eye field: implications for saccade target selection.

Authors:  Pierre Pouget; Iwona Stepniewska; Erin A Crowder; Melanie W Leslie; Erik E Emeric; Matthew J Nelson; Jeffrey D Schall
Journal:  Front Neuroanat       Date:  2009-05-22       Impact factor: 3.856

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