Literature DB >> 8158238

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

E De Schutter1, J M Bower.   

Abstract

1. Both excitatory and inhibitory postsynaptic channels were added to a previously described complex compartmental model of a cerebellar Purkinje cell to examine model responses to synaptic inputs. All model parameters remained as described previously, leaving maximum synaptic conductance as the only parameter that was tuned in the studies described in this paper. Under these conditions the model was capable of reproducing physiological recorded responses to each of the major types of synaptic input. 2. When excitatory synapses were activated on the smooth dendrites of the model, the model generated a complex dendritic Ca2+ spike similar to that generated by climbing fiber inputs. Examination of the model showed that activation of P-type Ca2+ channels in both the smooth and spiny dendrites augmented the depolarization during the complex spike and that Ca(2+)-activated K+ channels in the same dendritic regions determined the duration of the spike. When these synapses were activated under simulated current-clamp conditions the model also generated the characteristic dual reversal potential of the complex spike. The shape of the dendritic complex spike could be altered by changing the maximum conductance of the climbing fiber synapse and thus the amount of Ca2+ entering the cell. 3. To explore the background simple spike firing properties of Purkinje cells in vivo we added excitatory "parallel fiber" synapses to the spiny dendritic branches of the model. Continuous asynchronous activation of these granule cell synapses resulted in the generation of spontaneous sodium spikes. However, very low asynchronous input frequencies produced a highly regular, very fast rhythm (80-120 Hz), whereas slightly higher input frequencies resulted in Purkinje cell bursting. Both types of activity are uncharacteristic of in vivo Purkinje cell recordings. 4. Inhibitory synapses of the sort presumably generated by stellate cells were also added to the dendritic tree. When asynchronous activation of these inhibitory synapses was combined with continuous asynchronous excitatory input the model generated somatic action potentials in a much more stochastic pattern typical of real Purkinje cells. Under these conditions simulated inter-spike interval distributions resembled those found in experimental recordings. Also, as with in vivo recordings, the model did not generate dendritic bursts. This was mainly due to inhibition that suppressed the generation of dendritic Ca2+ spikes. 5. In the presence of asynchronous inhibition, changes in the average frequency of excitatory inputs modulated background simple spike firing frequencies in the natural range of Purkinje cell firing frequencies (30-100 Hz). This modulation was very sensitive to small changes in the average frequency of excitatory inputs.(ABSTRACT TRUNCATED AT 400 WORDS)

Entities:  

Mesh:

Substances:

Year:  1994        PMID: 8158238     DOI: 10.1152/jn.1994.71.1.401

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


  69 in total

1.  A comparative survey of automated parameter-search methods for compartmental neural models.

Authors:  M C Vanier; J M Bower
Journal:  J Comput Neurosci       Date:  1999 Sep-Oct       Impact factor: 1.621

Review 2.  Neuromuscular control: introduction and overview.

Authors:  J L van Leeuwen
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-05-29       Impact factor: 6.237

3.  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

4.  Signals in stochastically generated neurons.

Authors:  J L Winslow; S F Jou; S Wang; J M Wojtowicz
Journal:  J Comput Neurosci       Date:  1999-01       Impact factor: 1.621

5.  Electrotonic coupling interacts with intrinsic properties to generate synchronized activity in cerebellar networks of inhibitory interneurons.

Authors:  P Mann-Metzer; Y Yarom
Journal:  J Neurosci       Date:  1999-05-01       Impact factor: 6.167

6.  Ionic currents underlying spontaneous action potentials in isolated cerebellar Purkinje neurons.

Authors:  I M Raman; B P Bean
Journal:  J Neurosci       Date:  1999-03-01       Impact factor: 6.167

7.  No parallel fiber volleys in the cerebellar cortex: evidence from cross-correlation analysis between Purkinje cells in a computer model and in recordings from anesthetized rats.

Authors:  Dieter Jaeger
Journal:  J Comput Neurosci       Date:  2003 May-Jun       Impact factor: 1.621

8.  Modulatory effects of parallel fiber and molecular layer interneuron synaptic activity on purkinje cell responses to ascending segment input: a modeling study.

Authors:  F Santamaria; D Jaeger; E De Schutter; J M Bower
Journal:  J Comput Neurosci       Date:  2002 Nov-Dec       Impact factor: 1.621

9.  A biophysical model of synaptic delay learning and temporal pattern recognition in a cerebellar Purkinje cell.

Authors:  Volker Steuber; David Willshaw
Journal:  J Comput Neurosci       Date:  2004 Sep-Oct       Impact factor: 1.621

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.