Literature DB >> 16274973

Inhibitory synchrony as a mechanism for attentional gain modulation.

Paul H Tiesinga1, Jean-Marc Fellous, Emilio Salinas, Jorge V José, Terrence J Sejnowski.   

Abstract

Recordings from area V4 of monkeys have revealed that when the focus of attention is on a visual stimulus within the receptive field of a cortical neuron, two distinct changes can occur: The firing rate of the neuron can change and there can be an increase in the coherence between spikes and the local field potential (LFP) in the gamma-frequency range (30-50 Hz). The hypothesis explored here is that these observed effects of attention could be a consequence of changes in the synchrony of local interneuron networks. We performed computer simulations of a Hodgkin-Huxley type neuron driven by a constant depolarizing current, I, representing visual stimulation and a modulatory inhibitory input representing the effects of attention via local interneuron networks. We observed that the neuron's firing rate and the coherence of its output spike train with the synaptic inputs was modulated by the degree of synchrony of the inhibitory inputs. When inhibitory synchrony increased, the coherence of spiking model neurons with the synaptic input increased, but the firing rate either increased or remained the same. The mean number of synchronous inhibitory inputs was a key determinant of the shape of the firing rate versus current (f-I) curves. For a large number of inhibitory inputs (approximately 50), the f-I curve saturated for large I and an increase in input synchrony resulted in a shift of sensitivity-the model neuron responded to weaker inputs I. For a small number (approximately 10), the f-I curves were non-saturating and an increase in input synchrony led to an increase in the gain of the response-the firing rate in response to the same input was multiplied by an approximately constant factor. The firing rate modulation with inhibitory synchrony was highest when the input network oscillated in the gamma frequency range. Thus, the observed changes in firing rate and coherence of neurons in the visual cortex could be controlled by top-down inputs that regulated the coherence in the activity of a local inhibitory network discharging at gamma frequencies.

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Mesh:

Year:  2005        PMID: 16274973      PMCID: PMC2872773          DOI: 10.1016/j.jphysparis.2005.09.002

Source DB:  PubMed          Journal:  J Physiol Paris        ISSN: 0928-4257


  74 in total

1.  Effects of attention on the reliability of individual neurons in monkey visual cortex.

Authors:  C J McAdams; J H Maunsell
Journal:  Neuron       Date:  1999-08       Impact factor: 17.173

2.  Feature-based attention influences motion processing gain in macaque visual cortex.

Authors:  S Treue; J C Martínez Trujillo
Journal:  Nature       Date:  1999-06-10       Impact factor: 49.962

3.  Competitive mechanisms subserve attention in macaque areas V2 and V4.

Authors:  J H Reynolds; L Chelazzi; R Desimone
Journal:  J Neurosci       Date:  1999-03-01       Impact factor: 6.167

4.  Inhibitory control of neostriatal projection neurons by GABAergic interneurons.

Authors:  T Koós; J M Tepper
Journal:  Nat Neurosci       Date:  1999-05       Impact factor: 24.884

5.  Cholinergic induction of network oscillations at 40 Hz in the hippocampus in vitro.

Authors:  A Fisahn; F G Pike; E H Buhl; O Paulsen
Journal:  Nature       Date:  1998-07-09       Impact factor: 49.962

6.  Effects of attention on orientation-tuning functions of single neurons in macaque cortical area V4.

Authors:  C J McAdams; J H Maunsell
Journal:  J Neurosci       Date:  1999-01-01       Impact factor: 6.167

7.  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

8.  Synchronization and oscillatory dynamics in heterogeneous, mutually inhibited neurons.

Authors:  J A White; C C Chow; J Ritt; C Soto-Treviño; N Kopell
Journal:  J Comput Neurosci       Date:  1998-03       Impact factor: 1.621

9.  Spike transmission and synchrony detection in networks of GABAergic interneurons.

Authors:  M Galarreta; S Hestrin
Journal:  Science       Date:  2001-06-22       Impact factor: 47.728

10.  Impact of network activity on the integrative properties of neocortical pyramidal neurons in vivo.

Authors:  A Destexhe; D Paré
Journal:  J Neurophysiol       Date:  1999-04       Impact factor: 2.714

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  60 in total

Review 1.  Neurophysiological and computational principles of cortical rhythms in cognition.

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Journal:  Physiol Rev       Date:  2010-07       Impact factor: 37.312

2.  Attentional modulation of firing rate and synchrony in a model cortical network.

Authors:  Calin Buia; Paul Tiesinga
Journal:  J Comput Neurosci       Date:  2006-04-22       Impact factor: 1.621

Review 3.  Neural networks a century after Cajal.

Authors:  Walter J Jermakowicz; Vivien A Casagrande
Journal:  Brain Res Rev       Date:  2007-07-13

4.  Gamma flicker triggers attentional selection without awareness.

Authors:  Frank Bauer; Samuel W Cheadle; Andrew Parton; Hermann J Müller; Marius Usher
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-05       Impact factor: 11.205

5.  The effects of visual stimulation and selective visual attention on rhythmic neuronal synchronization in macaque area V4.

Authors:  Pascal Fries; Thilo Womelsdorf; Robert Oostenveld; Robert Desimone
Journal:  J Neurosci       Date:  2008-04-30       Impact factor: 6.167

6.  Object decoding with attention in inferior temporal cortex.

Authors:  Ying Zhang; Ethan M Meyers; Narcisse P Bichot; Thomas Serre; Tomaso A Poggio; Robert Desimone
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-09       Impact factor: 11.205

Review 7.  Spatiotemporal firing patterns in the cerebellum.

Authors:  Chris I De Zeeuw; Freek E Hoebeek; Laurens W J Bosman; Martijn Schonewille; Laurens Witter; Sebastiaan K Koekkoek
Journal:  Nat Rev Neurosci       Date:  2011-05-05       Impact factor: 34.870

8.  Space coding by gamma oscillations in the barn owl optic tectum.

Authors:  Devarajan Sridharan; Kwabena Boahen; Eric I Knudsen
Journal:  J Neurophysiol       Date:  2011-02-16       Impact factor: 2.714

Review 9.  The normalization model of attention.

Authors:  John H Reynolds; David J Heeger
Journal:  Neuron       Date:  2009-01-29       Impact factor: 17.173

10.  Pooling and correlated neural activity.

Authors:  Robert J Rosenbaum; James Trousdale; Kresimir Josić
Journal:  Front Comput Neurosci       Date:  2010-04-19       Impact factor: 2.380

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