Literature DB >> 12612048

Neural coding of spatial phase in V1 of the macaque monkey.

Dmitriy Aronov1, Daniel S Reich, Ferenc Mechler, Jonathan D Victor.   

Abstract

We examine the responses of single neurons and pairs of neurons, simultaneously recorded with a single tetrode in the primary visual cortex of the anesthetized macaque monkey, to transient presentations of stationary gratings of varying spatial phase. Such simultaneously recorded neurons tended to have similar tuning to the phase of the grating. To determine the response features that reliably discriminate these stimuli, we use the metric-space approach extended to pairs of neurons. We find that paying attention to the times of individual spikes, at a resolution of approximately 30 ms, and keeping track of which neuron fires which spike rather than just the summed local activity contribute substantially to phase coding. The contribution is both quantitative (increasing the fidelity of phase coding) and qualitative (enabling a 2-dimensional "response space" that corresponds to the spatial phase cycle). We use a novel approach, the extraction of "temporal profiles" from the metric space analysis, to interpret and compare temporal coding across neurons. Temporal profiles were remarkably consistent across a large subset of neurons. This consistency indicates that simple mechanisms (e.g., comparing the size of the transient and sustained components of the response) allow the temporal contribution to phase coding to be decoded.

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Year:  2003        PMID: 12612048     DOI: 10.1152/jn.00826.2002

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  28 in total

1.  Non-Euclidean properties of spike train metric spaces.

Authors:  Dmitriy Aronov; Jonathan D Victor
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2004-06-02

2.  Responses of V1 neurons to two-dimensional hermite functions.

Authors:  Jonathan D Victor; Ferenc Mechler; Michael A Repucci; Keith P Purpura; Tatyana Sharpee
Journal:  J Neurophysiol       Date:  2005-09-07       Impact factor: 2.714

Review 3.  Spike train metrics.

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

4.  Dynamic programming algorithms for comparing multineuronal spike trains via cost-based metrics and alignments.

Authors:  Jonathan D Victor; David H Goldberg; Daniel Gardner
Journal:  J Neurosci Methods       Date:  2006-12-15       Impact factor: 2.390

5.  On and off domains of geniculate afferents in cat primary visual cortex.

Authors:  Jianzhong Z Jin; Chong Weng; Chun-I Yeh; Joshua A Gordon; Edward S Ruthazer; Michael P Stryker; Harvey A Swadlow; Jose-Manuel Alonso
Journal:  Nat Neurosci       Date:  2007-12-16       Impact factor: 24.884

6.  A dynamic nonlinearity and spatial phase specificity in macaque V1 neurons.

Authors:  Patrick E Williams; Robert M Shapley
Journal:  J Neurosci       Date:  2007-05-23       Impact factor: 6.167

7.  A new multineuron spike train metric.

Authors:  Conor Houghton; Kamal Sen
Journal:  Neural Comput       Date:  2008-06       Impact factor: 2.026

8.  Laminar and orientation-dependent characteristics of spatial nonlinearities: implications for the computational architecture of visual cortex.

Authors:  Jonathan D Victor; Ferenc Mechler; Ifije Ohiorhenuan; Anita M Schmid; Keith P Purpura
Journal:  J Neurophysiol       Date:  2009-10-07       Impact factor: 2.714

9.  Efficient transformation of an auditory population code in a small sensory system.

Authors:  Jan Clemens; Olaf Kutzki; Bernhard Ronacher; Susanne Schreiber; Sandra Wohlgemuth
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-08       Impact factor: 11.205

10.  An information-geometric framework for statistical inferences in the neural spike train space.

Authors:  Wei Wu; Anuj Srivastava
Journal:  J Comput Neurosci       Date:  2011-05-17       Impact factor: 1.621

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