Literature DB >> 9698345

Robust temporal coding of contrast by V1 neurons for transient but not for steady-state stimuli.

F Mechler1, J D Victor, K P Purpura, R Shapley.   

Abstract

We show that spike timing adds to the information content of spike trains for transiently presented stimuli but not for comparable steady-state stimuli, even if the latter elicit transient responses. Contrast responses of 22 single neurons in macaque V1 to periodic presentation of steady-state stimuli (drifting sinusoidal gratings) and transient stimuli (drifting edges) of optimal spatiotemporal parameters were recorded extracellularly. The responses were analyzed for contrast-dependent clustering in spaces determined by metrics sensitive to the temporal structure of spike trains. Two types of metrics, cost-based spike time metrics and metrics based on Fourier harmonics of the response, were used. With both families of metrics, temporal coding of contrast is lacking in responses to drifting sinusoidal gratings of most (simple and complex) V1 neurons. However, two-thirds of all neurons, mostly complex cells, displayed significant temporal coding of contrast for edge stimuli. The Fourier metrics indicated that different response harmonics are partially independent, and their combined use increases information about transient stimuli. Our results demonstrate the importance of stimulus transience for temporal coding. This finding is significant for natural vision because moving edges, which are present in moving object boundaries, and saccades induce transients. We think that an abrupt change in the adapted state of the local visual circuitry triggers the temporal structuring of spike trains in V1 neurons.

Mesh:

Year:  1998        PMID: 9698345      PMCID: PMC6793182     

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


  53 in total

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Authors:  J D Victor; K P Purpura
Journal:  J Neurophysiol       Date:  1998-08       Impact factor: 2.714

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6.  Nature and precision of temporal coding in visual cortex: a metric-space analysis.

Authors:  J D Victor; K P Purpura
Journal:  J Neurophysiol       Date:  1996-08       Impact factor: 2.714

Review 7.  Sense and the single neuron: probing the physiology of perception.

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Review 8.  Temporal structure in spatially organized neuronal ensembles: a role for interneuronal networks.

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10.  Spatial vision.

Authors:  R L De Valois; K K De Valois
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  37 in total

1.  Decoding temporal information: A model based on short-term synaptic plasticity.

Authors:  D V Buonomano
Journal:  J Neurosci       Date:  2000-02-01       Impact factor: 6.167

2.  Neural coding with graded membrane potential changes and spikes.

Authors:  J Kretzberg; A K Warzecha; M Egelhaaf
Journal:  J Comput Neurosci       Date:  2001 Sep-Oct       Impact factor: 1.621

3.  Membrane potential fluctuations determine the precision of spike timing and synchronous activity: a model study.

Authors:  J Kretzberg; M Egelhaaf; A K Warzecha
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4.  Natural stimulus statistics alter the receptive field structure of v1 neurons.

Authors:  Stephen V David; William E Vinje; Jack L Gallant
Journal:  J Neurosci       Date:  2004-08-04       Impact factor: 6.167

5.  Early cortical orientation selectivity: how fast inhibition decodes the order of spike latencies.

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6.  Low error discrimination using a correlated population code.

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Review 7.  Spike train metrics.

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

8.  Response variability of marmoset parvocellular neurons.

Authors:  J D Victor; E M Blessing; J D Forte; P Buzás; P R Martin
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9.  Speed dependence of tuning to one-dimensional features in V1.

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Journal:  J Neurophysiol       Date:  2007-01-24       Impact factor: 2.714

10.  Reliability of cortical activity during natural stimulation.

Authors:  Uri Hasson; Rafael Malach; David J Heeger
Journal:  Trends Cogn Sci       Date:  2009-12-11       Impact factor: 20.229

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