Untitled - Laboratory of Neurophysics and Physiology

Investigation of the olivo-cerebellar system has attained a high level of sophistication, leading to
the characterization of several structural and functional properties of neurons, synapses and circuits.
Research has expanded and deepened in so many directions, and so many theories and models have
been proposed, that an ensemble review of the matter is now needed. One major question, here as
well as in the other brain circuits, is how single neuron and synaptic properties combine at the circuit
level and contribute to circuit computations. A powerful tool for gaining insight into circuit functions
is computational modeling. This workshop deals with the state of the art of single neuron and network
models of the cerebellum, in order to stimulate future research. The major aspects that will be covered
in this Workshop are:
• single cell modeling: granular layer, molecular layer, DCN, IO neurons
• cerebellar network models
• system models, closed-loop models, hybrid models
• robotic control
• theoretical model vs. computational models
• impact of single neuron properties on circuit computation
Invited Speakers:
Guy Billings
Claudia Casellato and Alessandra Pedrocchi: Brain-inspired robotic control: learning in cerebellumdriven
movement tasks through a cerebellar realistic model
Egidio D’Angelo
Erik De Schutter
Jesús Garrido: Millisecond-scale regulation of spike timing by distributed synaptic plasticity at the
cerebellum input stage
John Porrill
Thierry Nieus: Information transmission at the cerebellar granule cell
Eduardo Ros
Christian Rössert
Angus Silver
Sergio Solinas
Volker Steuber: Multiple computational roles of synaptic plasticity in the cerebellum
Patrick Van Der Smagt
Tadashi Yamazaki: Realtime Cerebellum: GPU-accelerated numerical simulation of a cerebellar spiking
83