Literature DB >> 4031981

Inferior olivary neurons in the awake cat: detection of contact and passive body displacement.

R Gellman, A R Gibson, J C Houk.   

Abstract

We have recorded from 306 neurons in the inferior olive of six alert cats. Most of the cats were trained to perform a simple task with the forelimb. We observed the neural responses to a wide variety of cutaneous and proprioceptive stimuli, as well as responses during spontaneous and learned active movements. Neurons responsive to somatosensory stimulation were found in all parts of the inferior olive, and they were roughly evenly divided between those responsive to cutaneous stimulation and those responsive to proprioceptive stimulation. In the dorsal accessory olive all neurons were responsive to somatosensory stimulation. In the medial accessory nucleus 88% and in the principal olive 74% of cells were responsive to somatosensory stimulation. Cells responsive to cutaneous stimulation usually had small receptive fields, commonly on the paw. These cells had low-threshold responses to one or more forms of cutaneous stimulation and typically fired one spike at the onset of the stimulus on 80% or more of stimulus applications. Cells responsive to proprioceptive stimulation most commonly responded to passive displacements of a limb. These cells were often very sensitive, responding to linear displacements of less than 1 cm in one specific direction. No cells in our sample responded reliably during active movement by the animal. Only 21% of cells responding to passive proprioceptive stimulation showed any modulation during active movement, and the modulation was weak. Likewise, cells responsive to cutaneous stimulation generally failed to respond when a similar stimulus was produced by an active movement by the animal. Exceptions to this were stimuli produced during exploratory movements or when the receptive field unexpectedly made contact with an object during active movement. Electrical stimulation applied in the inferior olive failed to evoke movements or to modify ongoing movement. Our results are consistent with the hypothesis that inferior olivary neurons function as somatic event detectors responding particularly reliably to unexpected stimuli.

Entities:  

Mesh:

Year:  1985        PMID: 4031981     DOI: 10.1152/jn.1985.54.1.40

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


  59 in total

1.  Developmental changes in eye-blink conditioning and neuronal activity in the inferior olive.

Authors:  D A Nicholson; J H Freeman
Journal:  J Neurosci       Date:  2000-11-01       Impact factor: 6.167

2.  Common principles of sensory encoding in spinal reflex modules and cerebellar climbing fibres.

Authors:  Martin Garwicz; Anders Levinsson; Jens Schouenborg
Journal:  J Physiol       Date:  2002-05-01       Impact factor: 5.182

3.  Tactile responses in the granule cell layer of cerebellar folium crus IIa of freely behaving rats.

Authors:  M J Hartmann; J M Bower
Journal:  J Neurosci       Date:  2001-05-15       Impact factor: 6.167

Review 4.  The great gate: control of sensory information flow to the cerebellum.

Authors:  Anna Devor
Journal:  Cerebellum       Date:  2002 Jan-Mar       Impact factor: 3.847

Review 5.  The role of interpositus nucleus in eyelid conditioned responses.

Authors:  J M Delgado-García; A Gruart
Journal:  Cerebellum       Date:  2002-12       Impact factor: 3.847

Review 6.  Parallel fiber receptive fields: a key to understanding cerebellar operation and learning.

Authors:  Carl-Fredrik Ekerot; Henrik Jörntell
Journal:  Cerebellum       Date:  2003       Impact factor: 3.847

Review 7.  Action prediction in the cerebellum and in the parietal lobe.

Authors:  Sarah-Jayne Blakemore; Angela Sirigu
Journal:  Exp Brain Res       Date:  2003-08-29       Impact factor: 1.972

8.  Changes in excitability of ascending and descending inputs to cerebellar climbing fibers during locomotion.

Authors:  Joanne Pardoe; Stephen A Edgley; Trevor Drew; Richard Apps
Journal:  J Neurosci       Date:  2004-03-17       Impact factor: 6.167

9.  Adaptive feedback control models of the vestibulocerebellum and spinocerebellum.

Authors:  H Gomi; M Kawato
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

10.  A computational model of four regions of the cerebellum based on feedback-error learning.

Authors:  M Kawato; H Gomi
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.