Literature DB >> 19249335

Patterns and pauses in Purkinje cell simple spike trains: experiments, modeling and theory.

E De Schutter1, V Steuber.   

Abstract

We review our recent experimental and modeling results on how cerebellar Purkinje cells encode information in their simple spike trains and present a theory of the function of pauses and regular spiking patterns. The regular spiking patterns were discovered in extracellular recordings of simple spikes in awake and anesthetized rodents, where it was shown that more than half of the spontaneous activity consists of short epochs of regular spiking. These periods of regular spiking are interrupted by pauses, which can be tightly synchronized among nearby Purkinje cells, while the spikes in the regular patterns are not. Interestingly, pauses are affected by long-term depression of the parallel fiber synapses. Both in modeling and slice experiments it was demonstrated that long-term depression causes a decrease in the duration of pauses, leading to an increase of the spike output of the neuron. Based on these results we propose that pauses in the simple spike train form a temporal code which can lead to a rebound burst in the target deep cerebellar nucleus neurons. Conversely, the regular spike patterns may be a rate code, which presets the amplitude of future rebound bursts.

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Year:  2009        PMID: 19249335     DOI: 10.1016/j.neuroscience.2009.02.040

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  49 in total

1.  Distinct roles for I(T) and I(H) in controlling the frequency and timing of rebound spike responses.

Authors:  Jordan D T Engbers; Dustin Anderson; Reza Tadayonnejad; W Hamish Mehaffey; Michael L Molineux; Ray W Turner
Journal:  J Physiol       Date:  2011-10-03       Impact factor: 5.182

2.  Dendritic spikes mediate negative synaptic gain control in cerebellar Purkinje cells.

Authors:  Ede A Rancz; Michael Häusser
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-03       Impact factor: 11.205

3.  Behavior-related pauses in simple-spike activity of mouse Purkinje cells are linked to spike rate modulation.

Authors:  Ying Cao; Selva K Maran; Mukesh Dhamala; Dieter Jaeger; Detlef H Heck
Journal:  J Neurosci       Date:  2012-06-20       Impact factor: 6.167

4.  Determinants of rebound burst responses in rat cerebellar nuclear neurons to physiological stimuli.

Authors:  Steven Dykstra; Jordan D T Engbers; Theodore M Bartoletti; Ray W Turner
Journal:  J Physiol       Date:  2016-01-18       Impact factor: 5.182

Review 5.  The neuronal code(s) of the cerebellum.

Authors:  Detlef H Heck; Chris I De Zeeuw; Dieter Jaeger; Kamran Khodakhah; Abigail L Person
Journal:  J Neurosci       Date:  2013-11-06       Impact factor: 6.167

Review 6.  Spatiotemporal firing patterns in the cerebellum.

Authors:  Chris I De Zeeuw; Freek E Hoebeek; Laurens W J Bosman; Martijn Schonewille; Laurens Witter; Sebastiaan K Koekkoek
Journal:  Nat Rev Neurosci       Date:  2011-05-05       Impact factor: 34.870

Review 7.  Evaluating the adaptive-filter model of the cerebellum.

Authors:  Paul Dean; John Porrill
Journal:  J Physiol       Date:  2011-04-18       Impact factor: 5.182

Review 8.  The mysterious microcircuitry of the cerebellar nuclei.

Authors:  Marylka Uusisaari; Erik De Schutter
Journal:  J Physiol       Date:  2011-04-26       Impact factor: 5.182

9.  Using computer simulations to determine the limitations of dynamic clamp stimuli applied at the soma in mimicking distributed conductance sources.

Authors:  Risa J Lin; Dieter Jaeger
Journal:  J Neurophysiol       Date:  2011-02-16       Impact factor: 2.714

10.  Mechanisms supporting transfer of inhibitory signals into the spike output of spontaneously firing cerebellar nuclear neurons in vitro.

Authors:  Christine M Pedroarena
Journal:  Cerebellum       Date:  2010-03       Impact factor: 3.847

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