Literature DB >> 20164407

Self-motion and the shaping of sensory signals.

Robert A Jenks1, Ashkan Vaziri, Ali-Reza Boloori, Garrett B Stanley.   

Abstract

Sensory systems must form stable representations of the external environment in the presence of self-induced variations in sensory signals. It is also possible that the variations themselves may provide useful information about self-motion relative to the external environment. Rats have been shown to be capable of fine texture discrimination and object localization based on palpation by facial vibrissae, or whiskers, alone. During behavior, the facial vibrissae brush against objects and undergo deflection patterns that are influenced both by the surface features of the objects and by the animal's own motion. The extent to which behavioral variability shapes the sensory inputs to this pathway is unknown. Using high-resolution, high-speed videography of unconstrained rats running on a linear track, we measured several behavioral variables including running speed, distance to the track wall, and head angle, as well as the proximal vibrissa deflections while the distal portions of the vibrissae were in contact with periodic gratings. The measured deflections, which serve as the sensory input to this pathway, were strongly modulated both by the properties of the gratings and the trial-to-trial variations in head-motion and locomotion. Using presumed internal knowledge of locomotion and head-rotation, gratings were classified using short-duration trials (<150 ms) from high-frequency vibrissa motion, and the continuous trajectory of the animal's own motion through the track was decoded from the low frequency content. Together, these results suggest that rats have simultaneous access to low- and high-frequency information about their environment, which has been shown to be parsed into different processing streams that are likely important for accurate object localization and texture coding.

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Year:  2010        PMID: 20164407      PMCID: PMC2853282          DOI: 10.1152/jn.00106.2009

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


  42 in total

1.  Coding of deflection velocity and amplitude by whisker primary afferent neurons: implications for higher level processing.

Authors:  M Shoykhet; D Doherty; D J Simons
Journal:  Somatosens Mot Res       Date:  2000       Impact factor: 1.111

2.  Positive feedback in a brainstem tactile sensorimotor loop.

Authors:  Quoc-Thang Nguyen; David Kleinfeld
Journal:  Neuron       Date:  2005-02-03       Impact factor: 17.173

3.  Embodied information processing: vibrissa mechanics and texture features shape micromotions in actively sensing rats.

Authors:  Jason T Ritt; Mark L Andermann; Christopher I Moore
Journal:  Neuron       Date:  2008-02-28       Impact factor: 17.173

Review 4.  'Where' and 'what' in the whisker sensorimotor system.

Authors:  Mathew E Diamond; Moritz von Heimendahl; Per Magne Knutsen; David Kleinfeld; Ehud Ahissar
Journal:  Nat Rev Neurosci       Date:  2008-08       Impact factor: 34.870

5.  Two psychophysical channels of whisker deflection in rats align with two neuronal classes of primary afferents.

Authors:  Maik C Stüttgen; Johannes Rüter; Cornelius Schwarz
Journal:  J Neurosci       Date:  2006-07-26       Impact factor: 6.167

6.  Rats can learn a roughness discrimination using only their vibrissal system.

Authors:  E Guić-Robles; C Valdivieso; G Guajardo
Journal:  Behav Brain Res       Date:  1989-01-01       Impact factor: 3.332

7.  Analysis of recovery from behavioral asymmetries induced by unilateral removal of vibrissae in the rat.

Authors:  H Milani; H Steiner; J P Huston
Journal:  Behav Neurosci       Date:  1989-10       Impact factor: 1.912

8.  The sensory contribution of a single vibrissa's cortical barrel.

Authors:  K A Hutson; R B Masterton
Journal:  J Neurophysiol       Date:  1986-10       Impact factor: 2.714

9.  Parallel thalamic pathways for whisking and touch signals in the rat.

Authors:  Chunxiu Yu; Dori Derdikman; Sebastian Haidarliu; Ehud Ahissar
Journal:  PLoS Biol       Date:  2006-04-18       Impact factor: 8.029

10.  Neuronal encoding of texture in the whisker sensory pathway.

Authors:  Ehsan Arabzadeh; Erik Zorzin; Mathew E Diamond
Journal:  PLoS Biol       Date:  2005-01-11       Impact factor: 8.029

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  9 in total

1.  An amplitude modulation/demodulation scheme for whisker-based texture perception.

Authors:  Yves Boubenec; Laure Nayelie Claverie; Daniel E Shulz; Georges Debrégeas
Journal:  J Neurosci       Date:  2014-08-13       Impact factor: 6.167

2.  Behavioral study of whisker-mediated vibration sensation in rats.

Authors:  Mehdi Adibi; Mathew E Diamond; Ehsan Arabzadeh
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-04       Impact factor: 11.205

3.  Detection of tactile inputs in the rat vibrissa pathway.

Authors:  Douglas R Ollerenshaw; Bilal A Bari; Daniel C Millard; Lauren E Orr; Qi Wang; Garrett B Stanley
Journal:  J Neurophysiol       Date:  2012-04-18       Impact factor: 2.714

4.  Encoding and decoding cortical representations of tactile features in the vibrissa system.

Authors:  Ali-Reza Boloori; Robert A Jenks; Gaëlle Desbordes; Garrett B Stanley
Journal:  J Neurosci       Date:  2010-07-28       Impact factor: 6.167

5.  Selection of head and whisker coordination strategies during goal-oriented active touch.

Authors:  Joseph B Schroeder; Jason T Ritt
Journal:  J Neurophysiol       Date:  2016-01-20       Impact factor: 2.714

6.  Thalamic synchrony and the adaptive gating of information flow to cortex.

Authors:  Qi Wang; Roxanna M Webber; Garrett B Stanley
Journal:  Nat Neurosci       Date:  2010-12       Impact factor: 24.884

Review 7.  Organization of sensory feature selectivity in the whisker system.

Authors:  Michael R Bale; Miguel Maravall
Journal:  Neuroscience       Date:  2017-09-14       Impact factor: 3.590

8.  Learning and recognition of tactile temporal sequences by mice and humans.

Authors:  Michael R Bale; Malamati Bitzidou; Anna Pitas; Leonie S Brebner; Lina Khazim; Stavros T Anagnou; Caitlin D Stevenson; Miguel Maravall
Journal:  Elife       Date:  2017-08-16       Impact factor: 8.140

9.  Whisker encoding of mechanical events during active tactile exploration.

Authors:  Yves Boubenec; Daniel E Shulz; Georges Debrégeas
Journal:  Front Behav Neurosci       Date:  2012-11-06       Impact factor: 3.558

  9 in total

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