Literature DB >> 17203402

Stability of complex spike timing-dependent plasticity in cerebellar learning.

Patrick D Roberts1.   

Abstract

Dynamics of spike-timing dependent synaptic plasticity are analyzed for excitatory and inhibitory synapses onto cerebellar Purkinje cells. The purpose of this study is to place theoretical constraints on candidate synaptic learning rules that determine the changes in synaptic efficacy due to pairing complex spikes with presynaptic spikes in parallel fibers and inhibitory interneurons. Constraints are derived for the timing between complex spikes and presynaptic spikes, constraints that result from the stability of the learning dynamics of the learning rule. Potential instabilities in the parallel fiber synaptic learning rule are found to be stabilized by synaptic plasticity at inhibitory synapses if the inhibitory learning rules are stable, and conditions for stability of inhibitory plasticity are given. Combining excitatory with inhibitory plasticity provides a mechanism for minimizing the overall synaptic input. Stable learning rules are shown to be able to sculpt simple-spike patterns by regulating the excitability of neurons in the inferior olive that give rise to climbing fibers.

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Year:  2007        PMID: 17203402     DOI: 10.1007/s10827-006-0012-8

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.453


  62 in total

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Authors:  P D Roberts
Journal:  J Neurophysiol       Date:  2000-10       Impact factor: 2.714

Review 2.  Spike timing dependent synaptic plasticity in biological systems.

Authors:  Patrick D Roberts; Curtis C Bell
Journal:  Biol Cybern       Date:  2002-12       Impact factor: 2.086

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Authors:  Patrick D Roberts
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2004-03-25

4.  Bidirectional parallel fiber plasticity in the cerebellum under climbing fiber control.

Authors:  Michiel Coesmans; John T Weber; Chris I De Zeeuw; Christian Hansel
Journal:  Neuron       Date:  2004-11-18       Impact factor: 17.173

5.  A model of a CA3 hippocampal pyramidal neuron incorporating voltage-clamp data on intrinsic conductances.

Authors:  R D Traub; R K Wong; R Miles; H Michelson
Journal:  J Neurophysiol       Date:  1991-08       Impact factor: 2.714

6.  Metabotropic glutamate receptor activation in cerebellar Purkinje cells as substrate for adaptive timing of the classically conditioned eye-blink response.

Authors:  J C Fiala; S Grossberg; D Bullock
Journal:  J Neurosci       Date:  1996-06-01       Impact factor: 6.167

Review 7.  Roles of cerebellar cortex and nuclei in motor learning: contradictions or clues?

Authors:  M D Mauk
Journal:  Neuron       Date:  1997-03       Impact factor: 17.173

8.  Dynamic single unit simulation of a realistic cerebellar network model.

Authors:  A Pellionisz; J Szentágothai
Journal:  Brain Res       Date:  1973-01-15       Impact factor: 3.252

9.  Stimulus parameters for induction of long-term depression in in vitro rat Purkinje cells.

Authors:  L Karachot; R T Kado; M Ito
Journal:  Neurosci Res       Date:  1994-12       Impact factor: 3.304

10.  An active membrane model of the cerebellar Purkinje cell II. Simulation of synaptic responses.

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

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  1 in total

Review 1.  Distributed synergistic plasticity and cerebellar learning.

Authors:  Zhenyu Gao; Boeke J van Beugen; Chris I De Zeeuw
Journal:  Nat Rev Neurosci       Date:  2012-08-16       Impact factor: 34.870

  1 in total

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