Literature DB >> 23200193

Modeling the generation of output by the cerebellar nuclei.

Volker Steuber1, Dieter Jaeger.   

Abstract

Functional aspects of network integration in the cerebellar cortex have been studied experimentally and modeled in much detail ever since the early work by theoreticians such as Marr, Albus and Braitenberg more than 40 years ago. In contrast, much less is known about cerebellar processing at the output stage, namely in the cerebellar nuclei (CN). Here, input from Purkinje cells converges to control CN neuron spiking via GABAergic inhibition, before the output from the CN reaches cerebellar targets such as the brainstem and the motor thalamus. In this article we review modeling studies that address how the CN may integrate cerebellar cortical inputs, and what kind of signals may be transmitted. Specific hypotheses in the literature contrast rate coding and temporal coding of information in the spiking output from the CN. One popular hypothesis states that post-inhibitory rebound spiking may be an important mechanism by which Purkinje cell inhibition is turned into CN output spiking, but this hypothesis remains controversial. Rate coding clearly does take place, but in what way it may be augmented by temporal codes remains to be more clearly established. Several candidate mechanisms distinct from rebound spiking are discussed, such as the significance of spike time correlations between Purkinje cell pools to determine CN spike timing, irregularity of Purkinje cell spiking as a determinant of CN firing rate, and shared brief pauses between Purkinje cell pools that may trigger individual CN spikes precisely.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Compartmental model; Dynamic clamp; Neural coding; Purkinje cell; Rebound; STD

Mesh:

Year:  2012        PMID: 23200193      PMCID: PMC3596440          DOI: 10.1016/j.neunet.2012.11.006

Source DB:  PubMed          Journal:  Neural Netw        ISSN: 0893-6080


  71 in total

1.  Differential olivo-cerebellar cortical control of rebound activity in the cerebellar nuclei.

Authors:  Freek E Hoebeek; Laurens Witter; Tom J H Ruigrok; Chris I De Zeeuw
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-15       Impact factor: 11.205

2.  Analysis of distinct short and prolonged components in rebound spiking of deep cerebellar nucleus neurons.

Authors:  Thomas Sangrey; Dieter Jaeger
Journal:  Eur J Neurosci       Date:  2010-10-08       Impact factor: 3.386

3.  Encoding and decoding of learned smooth-pursuit eye movements in the floccular complex of the monkey cerebellum.

Authors:  Javier F Medina; Stephen G Lisberger
Journal:  J Neurophysiol       Date:  2009-07-22       Impact factor: 2.714

Review 4.  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

5.  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

6.  Determinants of synaptic integration and heterogeneity in rebound firing explored with data-driven models of deep cerebellar nucleus cells.

Authors:  Volker Steuber; Nathan W Schultheiss; R Angus Silver; Erik De Schutter; Dieter Jaeger
Journal:  J Comput Neurosci       Date:  2010-11-04       Impact factor: 1.621

7.  Reliable coding emerges from coactivation of climbing fibers in microbands of cerebellar Purkinje neurons.

Authors:  Ilker Ozden; Megan R Sullivan; H Megan Lee; Samuel S-H Wang
Journal:  J Neurosci       Date:  2009-08-26       Impact factor: 6.167

Review 8.  Neuronal arithmetic.

Authors:  R Angus Silver
Journal:  Nat Rev Neurosci       Date:  2010-07       Impact factor: 34.870

Review 9.  Rebound discharge in deep cerebellar nuclear neurons in vitro.

Authors:  Reza Tadayonnejad; Dustin Anderson; Michael L Molineux; W Hamish Mehaffey; Kusala Jayasuriya; Ray W Turner
Journal:  Cerebellum       Date:  2010-09       Impact factor: 3.847

10.  In vivo analysis of inhibitory synaptic inputs and rebounds in deep cerebellar nuclear neurons.

Authors:  Fredrik Bengtsson; Carl-Fredrik Ekerot; Henrik Jörntell
Journal:  PLoS One       Date:  2011-04-28       Impact factor: 3.240

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  14 in total

1.  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

2.  Differential Coding Strategies in Glutamatergic and GABAergic Neurons in the Medial Cerebellar Nucleus.

Authors:  Orçun Orkan Özcan; Xiaolu Wang; Francesca Binda; Kevin Dorgans; Chris I De Zeeuw; Zhenyu Gao; Ad Aertsen; Arvind Kumar; Philippe Isope
Journal:  J Neurosci       Date:  2019-11-06       Impact factor: 6.167

Review 3.  Computational Principles of Supervised Learning in the Cerebellum.

Authors:  Jennifer L Raymond; Javier F Medina
Journal:  Annu Rev Neurosci       Date:  2018-07-08       Impact factor: 12.449

4.  Cerebellar Purkinje cells control eye movements with a rapid rate code that is invariant to spike irregularity.

Authors:  Hannah L Payne; Ranran L French; Christine C Guo; Td Barbara Nguyen-Vu; Tiina Manninen; Jennifer L Raymond
Journal:  Elife       Date:  2019-05-03       Impact factor: 8.140

5.  A defined heteromeric KV1 channel stabilizes the intrinsic pacemaking and regulates the output of deep cerebellar nuclear neurons to thalamic targets.

Authors:  Saak V Ovsepian; Volker Steuber; Marie Le Berre; Liam O'Hara; Valerie B O'Leary; J Oliver Dolly
Journal:  J Physiol       Date:  2013-01-14       Impact factor: 5.182

Review 6.  Redefining the cerebellar cortex as an assembly of non-uniform Purkinje cell microcircuits.

Authors:  Nadia L Cerminara; Eric J Lang; Roy V Sillitoe; Richard Apps
Journal:  Nat Rev Neurosci       Date:  2015-02       Impact factor: 34.870

Review 7.  Modulatory Effects of Monoamines and Perineuronal Nets on Output of Cerebellar Purkinje Cells.

Authors:  Moritoshi Hirono; Fuyuki Karube; Yuchio Yanagawa
Journal:  Front Neural Circuits       Date:  2021-06-14       Impact factor: 3.492

Review 8.  Cellular commitment in the developing cerebellum.

Authors:  Hassan Marzban; Marc R Del Bigio; Javad Alizadeh; Saeid Ghavami; Robby M Zachariah; Mojgan Rastegar
Journal:  Front Cell Neurosci       Date:  2015-01-12       Impact factor: 5.505

9.  Toll-Like Receptor 4 Deficiency Impairs Motor Coordination.

Authors:  Jian-Wei Zhu; Yi-Fei Li; Zhao-Tao Wang; Wei-Qiang Jia; Ru-Xiang Xu
Journal:  Front Neurosci       Date:  2016-02-16       Impact factor: 4.677

Review 10.  Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue.

Authors:  Egidio D'Angelo; Alberto Antonietti; Stefano Casali; Claudia Casellato; Jesus A Garrido; Niceto Rafael Luque; Lisa Mapelli; Stefano Masoli; Alessandra Pedrocchi; Francesca Prestori; Martina Francesca Rizza; Eduardo Ros
Journal:  Front Cell Neurosci       Date:  2016-07-08       Impact factor: 5.505

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