Literature DB >> 15233579

Synaptic shunting by a baseline of synaptic conductances modulates responses to inhibitory input volleys in cerebellar Purkinje cells.

Lisa Kreiner1, Dieter Jaeger.   

Abstract

When processing synaptic input in vivo, large neurons in the brain must cope with thousands of events each second. Much work has focused on the specific processing of synchronous excitatory input volleys, both in cerebellar and cerebral cortical research. Here we pursue the question of how a continuous background of ongoing 'noise' inputs interacts with the processing of synchronous inhibitory input volleys. Specifically we examine the processing of inhibitory input transients in cerebellar Purkinje cells, which by inducing pauses in Purkinje cell spike activity may lead to a disinhibition of the deep cerebellar nuclei and thus to cerebellar motor command signals. We use the technique of dynamic clamping in vitro to simulate controlled patterns of in vivo like background inputs. We use electrical stimulation of inhibitory interneurons in the deep or upper molecular layer to create inhibitory input transients that lead to spike pauses in Purkinje cell activity. These pauses were much longer in the absence than in the presence of background inputs applied with dynamic clamping. We found that a significant amount of the synaptic current elicited by electrical stimulation was shunted by the background inputs. The overall amount of background conductance as well as the pattern of background inputs modulated spike pause duration in a specific manner. This modulation by shunting may be employed in vivo to evaluate the salience of specific sensory input received by cerebellar cortex.

Mesh:

Year:  2004        PMID: 15233579     DOI: 10.1080/14734220410031990

Source DB:  PubMed          Journal:  Cerebellum        ISSN: 1473-4222            Impact factor:   3.847


  37 in total

Review 1.  Computer simulation of cerebellar information processing.

Authors:  J F Medina; M D Mauk
Journal:  Nat Neurosci       Date:  2000-11       Impact factor: 24.884

2.  Synaptic control of spiking in cerebellar Purkinje cells: dynamic current clamp based on model conductances.

Authors:  D Jaeger; J M Bower
Journal:  J Neurosci       Date:  1999-07-15       Impact factor: 6.167

Review 3.  Beyond parallel fiber LTD: the diversity of synaptic and non-synaptic plasticity in the cerebellum.

Authors:  C Hansel; D J Linden; E D'Angelo
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4.  A fast-conducting, stochastic integrative mode for neocortical neurons in vivo.

Authors:  Michael Rudolph; Alain Destexhe
Journal:  J Neurosci       Date:  2003-03-15       Impact factor: 6.167

5.  Reliable control of spike rate and spike timing by rapid input transients in cerebellar stellate cells.

Authors:  K J Suter; D Jaeger
Journal:  Neuroscience       Date:  2004       Impact factor: 3.590

6.  An active membrane model of the cerebellar Purkinje cell. I. Simulation of current clamps in slice.

Authors:  E De Schutter; J M Bower
Journal:  J Neurophysiol       Date:  1994-01       Impact factor: 2.714

Review 7.  Control of sensory data acquisition.

Authors:  J M Bower
Journal:  Int Rev Neurobiol       Date:  1997       Impact factor: 3.230

8.  Neural basis for motor learning in the vestibuloocular reflex of primates. II. Changes in the responses of horizontal gaze velocity Purkinje cells in the cerebellar flocculus and ventral paraflocculus.

Authors:  S G Lisberger; T A Pavelko; H M Bronte-Stewart; L S Stone
Journal:  J Neurophysiol       Date:  1994-08       Impact factor: 2.714

9.  Dynamic clamp: computer-generated conductances in real neurons.

Authors:  A A Sharp; M B O'Neil; L F Abbott; E Marder
Journal:  J Neurophysiol       Date:  1993-03       Impact factor: 2.714

10.  Prolonged responses in rat cerebellar Purkinje cells following activation of the granule cell layer: an intracellular in vitro and in vivo investigation.

Authors:  D Jaeger; J M Bower
Journal:  Exp Brain Res       Date:  1994       Impact factor: 1.972

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  7 in total

1.  Dendritic signals command firing dynamics in a mathematical model of cerebellar Purkinje cells.

Authors:  Stéphane Genet; Loïc Sabarly; Emmanuel Guigon; Hugues Berry; Bruno Delord
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2.  Dendritic excitability modulates dendritic information processing in a purkinje cell model.

Authors:  Allan D Coop; Hugo Cornelis; Fidel Santamaria
Journal:  Front Comput Neurosci       Date:  2010-03-30       Impact factor: 2.380

3.  Model-founded explorations of the roles of molecular layer inhibition in regulating purkinje cell responses in cerebellar cortex: more trouble for the beam hypothesis.

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Journal:  Front Cell Neurosci       Date:  2010-08-27       Impact factor: 5.505

4.  Causes of transient instabilities in the dynamic clamp.

Authors:  Amanda J Preyer; Robert J Butera
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-02-18       Impact factor: 3.802

5.  Interaction between Purkinje cells and inhibitory interneurons may create adjustable output waveforms to generate timed cerebellar output.

Authors:  Simon Hong; Lance M Optican
Journal:  PLoS One       Date:  2008-07-23       Impact factor: 3.240

6.  Regularity, variability and bi-stability in the activity of cerebellar purkinje cells.

Authors:  Dan Rokni; Zohar Tal; Hananel Byk; Yosef Yarom
Journal:  Front Cell Neurosci       Date:  2009-11-09       Impact factor: 5.505

Review 7.  The 40-year history of modeling active dendrites in cerebellar Purkinje cells: emergence of the first single cell "community model".

Authors:  James M Bower
Journal:  Front Comput Neurosci       Date:  2015-10-20       Impact factor: 2.380

  7 in total

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