Information transmission in cerebellar granule cell models (Rossert et al. 2014)


" ... In this modeling study we analyse how electrophysiological granule cell properties and spike sampling influence information coded by firing rate modulation, assuming no signal-related, i.e., uncorrelated inhibitory feedback (open-loop mode). A detailed one-compartment granule cell model was excited in simulation by either direct current or mossy-fiber synaptic inputs. Vestibular signals were represented as tonic inputs to the flocculus modulated at frequencies up to 20 Hz (approximate upper frequency limit of vestibular-ocular reflex, VOR). Model outputs were assessed using estimates of both the transfer function, and the fidelity of input-signal reconstruction measured as variance-accounted-for. The detailed granule cell model with realistic mossy-fiber synaptic inputs could transmit infoarmation faithfully and linearly in the frequency range of the vestibular-ocular reflex. ... "

Model Type: Neuron or other electrically excitable cell; Synapse

Region(s) or Organism(s): Cerebellum

Cell Type(s): Cerebellum interneuron granule GLU cell

Model Concept(s): Action Potentials; Markov-type model

Simulation Environment: NEURON; Python

Implementer(s): Solinas, Sergio [solinas at unipv.it]; Roessert, Christian [christian.a at roessert.de]

References:

Rössert C, Solinas S, D'Angelo E, Dean P, Porrill J. (2014). Model cerebellar granule cells can faithfully transmit modulated firing rate signals. Frontiers in cellular neuroscience. 8 [PubMed]


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