Event Abstract

Computational modeling of local field potentials predicts activation patterns and plasticity in the cerebellar circuit.

  • 1 University of Pavia, Italy
  • 2 Univ. of Milan, Italy

Extracellular field potentials of brain network activity exhibit special characteristics at ms scale (Gold et al., JNphysiol, 2006, 95, 3113-3128), that can be used to predict several intracellular parameters including width and number of action potentials (Csicsvari et al., JNphysiol, 2003, 90, 1314-1323). A detailed multicompartmental model of a cerebellar granule cell was developed from available single compartmental model (D'Angelo et al., J Nsc, 2001, 21, 759-770) and was used to simulate responses to mossy-fibers excitation, which were then used to reconstruct the extracellular potentials. The cell model was developed with NEURON (Hines et al, Neural Comput, 1997, 9, 1179-1209) and comprised 52 compartments with an explicit representation of the axon ascending branch(Full parallel fiber simulations gave similar results). The spike originated in the axon and invaded at high speed the somato-dendritic compartment, which was iso-potential. The model nicely reproduced spike retrograde propagation and Na+ currents in patch-clamp experiments.

The methodology involved combining various possible arrangements of excitatory post synaptic potentials generated when single or multiple mossy fibres were activated. A reconstruction of the extracellular field was made considering approximately 700 cells as suggested by recordings in vitro(Mapelli et al, J Neursci, 2007, 27, 1285-1296) & convolving the individual signals with an appropriate jitter. The model correctly predicted the generation of spike doublets and their pharmacological sensitivity (based on activation of NMDA and GABA-A receptors). The in vivo field was reconstructed considering 200 cells, accounting for waves generated by trigeminal and cortical inputs. This reconstruction allowed to predict spatio-temporal properties of the underlying network and the changes occurring during long-term synaptic plasticity.

The model has therefore the ability to predict the relationship between cellular processes and their manifestation during circuit activity in vivo and opens the perspective to further analyze the mechanisms of cerebellar computation and plasticity.

Conference: Neuroinformatics 2008, Stockholm, Sweden, 7 Sep - 9 Sep, 2008.

Presentation Type: Poster Presentation

Topic: Computational Neuroscience

Citation: Mukundanunny SD, Naldi G and D'Angelo E (2008). Computational modeling of local field potentials predicts activation patterns and plasticity in the cerebellar circuit.. Front. Neuroinform. Conference Abstract: Neuroinformatics 2008. doi: 10.3389/conf.neuro.11.2008.01.029

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Received: 28 Jul 2008; Published Online: 28 Jul 2008.

* Correspondence: Shyam D Mukundanunny, University of Pavia, Pavia, Italy, shyam.diwakar@gmail.com

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