Literature DB >> 17671103

Role of precise spike timing in coding of dynamic vibrissa stimuli in somatosensory thalamus.

Marcelo A Montemurro1, Stefano Panzeri, Miguel Maravall, Andrea Alenda, Michael R Bale, Marco Brambilla, Rasmus S Petersen.   

Abstract

Rats discriminate texture by whisking their vibrissae across the surfaces of objects. This process induces corresponding vibrissa vibrations, which must be accurately represented by neurons in the somatosensory pathway. In this study, we investigated the neural code for vibrissa motion in the ventroposterior medial (VPm) nucleus of the thalamus by single-unit recording. We found that neurons conveyed a great deal of information (up to 77.9 bits/s) about vibrissa dynamics. The key was precise spike timing, which typically varied by less than a millisecond from trial to trial. The neural code was sparse, the average spike being remarkably informative (5.8 bits/spike). This implies that as few as four VPm spikes, coding independent information, might reliably differentiate between 10(6) textures. To probe the mechanism of information transmission, we compared the role of time-varying firing rate to that of temporally correlated spike patterns in two ways: 93.9% of the information encoded by a neuron could be accounted for by a hypothetical neuron with the same time-dependent firing rate but no correlations between spikes; moreover, > or =93.4% of the information in the spike trains could be decoded even if temporal correlations were ignored. Taken together, these results suggest that the essence of the VPm code for vibrissa motion is firing rate modulation on a submillisecond timescale. The significance of such a code may be that it enables a small number of neurons, firing only few spikes, to convey distinctions between very many different textures to the barrel cortex.

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Year:  2007        PMID: 17671103     DOI: 10.1152/jn.00593.2007

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


  32 in total

1.  Rewiring of afferent fibers in the somatosensory thalamus of mice caused by peripheral sensory nerve transection.

Authors:  Yuichi Takeuchi; Miwako Yamasaki; Yasuyuki Nagumo; Keiji Imoto; Masahiko Watanabe; Mariko Miyata
Journal:  J Neurosci       Date:  2012-05-16       Impact factor: 6.167

2.  Low-dimensional sensory feature representation by trigeminal primary afferents.

Authors:  Michael R Bale; Kyle Davies; Oliver J Freeman; Robin A A Ince; Rasmus S Petersen
Journal:  J Neurosci       Date:  2013-07-17       Impact factor: 6.167

3.  Scaling of topologically similar functional modules defines mouse primary auditory and somatosensory microcircuitry.

Authors:  Alexander J Sadovsky; Jason N MacLean
Journal:  J Neurosci       Date:  2013-08-28       Impact factor: 6.167

4.  Feedforward inhibition determines the angular tuning of vibrissal responses in the principal trigeminal nucleus.

Authors:  Marie-Andrée Bellavance; Maxime Demers; Martin Deschênes
Journal:  J Neurosci       Date:  2010-01-20       Impact factor: 6.167

5.  Transformation in the neural code for whisker deflection direction along the lemniscal pathway.

Authors:  Michael R Bale; Rasmus S Petersen
Journal:  J Neurophysiol       Date:  2009-09-09       Impact factor: 2.714

6.  Spike count, spike timing and temporal information in the cortex of awake, freely moving rats.

Authors:  Alessandro Scaglione; Guglielmo Foffani; Karen A Moxon
Journal:  J Neural Eng       Date:  2014-07-15       Impact factor: 5.379

7.  Microsecond-scale timing precision in rodent trigeminal primary afferents.

Authors:  Michael R Bale; Dario Campagner; Andrew Erskine; Rasmus S Petersen
Journal:  J Neurosci       Date:  2015-04-15       Impact factor: 6.167

8.  Extracting information in spike time patterns with wavelets and information theory.

Authors:  Vítor Lopes-dos-Santos; Stefano Panzeri; Christoph Kayser; Mathew E Diamond; Rodrigo Quian Quiroga
Journal:  J Neurophysiol       Date:  2014-11-12       Impact factor: 2.714

9.  Millisecond precision spike timing shapes tactile perception.

Authors:  Emily L Mackevicius; Matthew D Best; Hannes P Saal; Sliman J Bensmaia
Journal:  J Neurosci       Date:  2012-10-31       Impact factor: 6.167

10.  Open source tools for the information theoretic analysis of neural data.

Authors:  Robin A A Ince; Alberto Mazzoni; Rasmus S Petersen; Stefano Panzeri
Journal:  Front Neurosci       Date:  2010-05-15       Impact factor: 4.677

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