Literature DB >> 12657701

Cooperation between area 17 neuron pairs enhances fine discrimination of orientation.

Jason M Samonds1, John D Allison, Heather A Brown, A B Bonds.   

Abstract

We examined 66 complex cells in area 17 of cats that were paralyzed and anesthetized with propofol and N2O. We studied changes in ensemble responses for small (<10 degrees ) and large (>10 degrees ) differences in orientation. Examination of temporal resolution and discharge history revealed advantages in discrimination from both dependent (e.g., synchronization) and independent (e.g., bursting) interspike interval properties. For 27 pairs of neurons, we found that the average cooperation (the advantage gained from the joint activity) was 57.6% for fine discrimination of orientation but <5% for gross discrimination. Dependency (probabilistic quantification of the interaction between the cells) was measured between 29 pairs of neurons while varying orientation. On average, the dependency tuning for orientation was 35.5% narrower than the average firing rate tuning. The changes in dependency around the peak orientation (at which the firing rate remains relatively constant) lead to substantial cooperation that can improve discrimination in this region. The narrow tuning of dependency and the cooperation provide evidence to support a population-encoding scheme that is based on biologically plausible mechanisms and that could account for hyperacuities.

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Year:  2003        PMID: 12657701      PMCID: PMC6742024     

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


  50 in total

Review 1.  Patterns in the brain. Neuronal population coding in the somatosensory system.

Authors:  G S Doetsch
Journal:  Physiol Behav       Date:  2000 Apr 1-15

2.  Interspike intervals, receptive fields, and information encoding in primary visual cortex.

Authors:  D S Reich; F Mechler; K P Purpura; J D Victor
Journal:  J Neurosci       Date:  2000-03-01       Impact factor: 6.167

3.  Neural coding: higher-order temporal patterns in the neurostatistics of cell assemblies.

Authors:  L Martignon; G Deco; K Laskey; M Diamond; W Freiwald; E Vaadia
Journal:  Neural Comput       Date:  2000-11       Impact factor: 2.026

Review 4.  How the brain uses time to represent and process visual information(1).

Authors:  J D Victor
Journal:  Brain Res       Date:  2000-12-15       Impact factor: 3.252

5.  Coding of visual information by precisely correlated spikes in the lateral geniculate nucleus.

Authors:  Y Dan; J M Alonso; W M Usrey; R C Reid
Journal:  Nat Neurosci       Date:  1998-10       Impact factor: 24.884

Review 6.  Synchronous activity in the visual system.

Authors:  W M Usrey; R C Reid
Journal:  Annu Rev Physiol       Date:  1999       Impact factor: 19.318

7.  Multispikes and synchronization in a large neural network with temporal delays.

Authors:  J Karbowski; N Kopell
Journal:  Neural Comput       Date:  2000-07       Impact factor: 2.026

8.  Spike sequences and their consequences.

Authors:  Z Nádasdy
Journal:  J Physiol Paris       Date:  2000 Sep-Dec

9.  Encoding of visual information by LGN bursts.

Authors:  P Reinagel; D Godwin; S M Sherman; C Koch
Journal:  J Neurophysiol       Date:  1999-05       Impact factor: 2.714

10.  Synchronization induced by temporal delays in pulse-coupled oscillators.

Authors: 
Journal:  Phys Rev Lett       Date:  1995-02-27       Impact factor: 9.161

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  16 in total

1.  Cooperative synchronized assemblies enhance orientation discrimination.

Authors:  Jason M Samonds; John D Allison; Heather A Brown; A B Bonds
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-19       Impact factor: 11.205

2.  Response properties of neurons in primary somatosensory cortex of owl monkeys reflect widespread spatiotemporal integration.

Authors:  Jamie L Reed; Hui-Xin Qi; Zhiyi Zhou; Melanie R Bernard; Mark J Burish; A B Bonds; Jon H Kaas
Journal:  J Neurophysiol       Date:  2010-02-17       Impact factor: 2.714

3.  Modular processing in the hand representation of primate primary somatosensory cortex coexists with widespread activation.

Authors:  Jamie L Reed; Hui-Xin Qi; Pierre Pouget; Mark J Burish; A B Bonds; Jon H Kaas
Journal:  J Neurophysiol       Date:  2010-10-06       Impact factor: 2.714

Review 4.  Spike train metrics.

Authors:  Jonathan D Victor
Journal:  Curr Opin Neurobiol       Date:  2005-10       Impact factor: 6.627

Review 5.  Neural networks a century after Cajal.

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

6.  Widespread spatial integration in primary somatosensory cortex.

Authors:  Jamie L Reed; Pierre Pouget; Hui-Xin Qi; Zhiyi Zhou; Melanie R Bernard; Mark J Burish; John Haitas; A B Bonds; Jon H Kaas
Journal:  Proc Natl Acad Sci U S A       Date:  2008-07-15       Impact factor: 11.205

7.  Quantifying neuronal network dynamics through coarse-grained event trees.

Authors:  Aaditya V Rangan; David Cai; David W McLaughlin
Journal:  Proc Natl Acad Sci U S A       Date:  2008-07-30       Impact factor: 11.205

8.  Stimulus-specific and stimulus-nonspecific firing synchrony and its modulation by sensory adaptation in the whisker-to-barrel pathway.

Authors:  Vivek Khatri; Randy M Bruno; Daniel J Simons
Journal:  J Neurophysiol       Date:  2009-03-11       Impact factor: 2.714

9.  The structure of pairwise correlation in mouse primary visual cortex reveals functional organization in the absence of an orientation map.

Authors:  Daniel J Denman; Diego Contreras
Journal:  Cereb Cortex       Date:  2013-05-19       Impact factor: 5.357

10.  Cortical neuron response properties are related to lesion extent and behavioral recovery after sensory loss from spinal cord injury in monkeys.

Authors:  Hui-Xin Qi; Jamie L Reed; Omar A Gharbawie; Mark J Burish; Jon H Kaas
Journal:  J Neurosci       Date:  2014-03-19       Impact factor: 6.167

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