Literature DB >> 12403828

Spectral mixing of rhythmic neuronal signals in sensory cortex.

Kurt F Ahrens1, Herbert Levine, Harry Suhl, David Kleinfeld.   

Abstract

The ability to compute the difference between two frequencies depends on a nonlinear operation that mixes two periodic signals. Behavioral and psychophysical evidence suggest that such mixing is likely to occur in the mammalian nervous system as a means to compare two rhythmic sensory signals, such as occurs in human audition, and as a means to lock an intrinsic rhythm to a sensory input. However, a neurological substrate for mixing has not been identified. Here we address the issue of nonlinear mixing of neuronal activity in the vibrissa primary sensory cortex of rat, a region that receives intrinsic as well as sensory-driven rhythmic input during natural whisking. In our preparation, the intrinsic signal originates from cortical oscillations that were induced by anesthetics, and the extrinsic input is introduced by periodic stimulation of vibrissae. We observed that the local extracellular current in vibrissa primary sensory cortex contained oscillatory components at the sum and difference of the intrinsic and extrinsic frequencies. In complementary experiments, we observed that the simultaneous stimulation of contralateral and ipsilateral vibrissae at different frequencies also led to current flow at the sum and difference frequencies. We show theoretically that the relative amplitudes of the observed mixture terms can be accounted for by a threshold nonlinearity in the input-output relation of the underlying neurons. In general, our results provide a neurological substrate for the modulation and demodulation of rhythmic neuronal signals for sensory coding and feedback stabilization of motor output.

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Year:  2002        PMID: 12403828      PMCID: PMC137563          DOI: 10.1073/pnas.222547199

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  32 in total

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4.  Whisker deafferentation and rodent whisking patterns: behavioral evidence for a central pattern generator.

Authors:  P Gao; R Bermejo; H P Zeigler
Journal:  J Neurosci       Date:  2001-07-15       Impact factor: 6.167

5.  Bilateral integration of whisker information in the primary somatosensory cortex of rats.

Authors:  M G Shuler; D J Krupa; M A Nicolelis
Journal:  J Neurosci       Date:  2001-07-15       Impact factor: 6.167

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Authors:  G Oster
Journal:  Sci Am       Date:  1973-10       Impact factor: 2.142

7.  Patterns of activation in a monosynaptic cortical pathway: the perforant path input to the dentate area of the hippocampal formation.

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Journal:  Exp Brain Res       Date:  1971       Impact factor: 1.972

8.  Theory of current source-density analysis and determination of conductivity tensor for anuran cerebellum.

Authors:  C Nicholson; J A Freeman
Journal:  J Neurophysiol       Date:  1975-03       Impact factor: 2.714

9.  A brain function monitor for use during anaesthesia. Preliminary report.

Authors:  G A Volgyesi
Journal:  Can Anaesth Soc J       Date:  1978-09

10.  Adaptive filtering of vibrissa input in motor cortex of rat.

Authors:  David Kleinfeld; Robert N S Sachdev; Lynne M Merchant; Murray R Jarvis; Ford F Ebner
Journal:  Neuron       Date:  2002-06-13       Impact factor: 17.173

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  7 in total

1.  Goal-directed whisking increases phase-locking between vibrissa movement and electrical activity in primary sensory cortex in rat.

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Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-05       Impact factor: 11.205

2.  The influence of natural scene dynamics on auditory cortical activity.

Authors:  Chandramouli Chandrasekaran; Hjalmar K Turesson; Charles H Brown; Asif A Ghazanfar
Journal:  J Neurosci       Date:  2010-10-20       Impact factor: 6.167

Review 3.  Contribution of animal models toward understanding resting state functional connectivity.

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4.  Phase-to-rate transformations encode touch in cortical neurons of a scanning sensorimotor system.

Authors:  John C Curtis; David Kleinfeld
Journal:  Nat Neurosci       Date:  2009-03-08       Impact factor: 24.884

Review 5.  Ultra-slow Oscillations in fMRI and Resting-State Connectivity: Neuronal and Vascular Contributions and Technical Confounds.

Authors:  Patrick J Drew; Celine Mateo; Kevin L Turner; Xin Yu; David Kleinfeld
Journal:  Neuron       Date:  2020-08-12       Impact factor: 17.173

6.  Attention influences single unit and local field potential response latencies in visual cortical area V4.

Authors:  Kristy A Sundberg; Jude F Mitchell; Timothy J Gawne; John H Reynolds
Journal:  J Neurosci       Date:  2012-11-07       Impact factor: 6.167

7.  Vibrissa Self-Motion and Touch Are Reliably Encoded along the Same Somatosensory Pathway from Brainstem through Thalamus.

Authors:  Jeffrey D Moore; Nicole Mercer Lindsay; Martin Deschênes; David Kleinfeld
Journal:  PLoS Biol       Date:  2015-09-22       Impact factor: 8.029

  7 in total

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