BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Blue Brain Seminar - Point-neuron models of the cerebellum\, the r
 ole of distributed plasticity explained by closed-loop experiments
DTSTART:20190703T140000
DTEND:20190703T150000
DTSTAMP:20260430T184804Z
UID:ec59b1cca4d3fe73f1854e120e4056d38c8e8286ee6caf0319ec4ac3
CATEGORIES:Conferences - Seminars
DESCRIPTION:Alberto Antonietti\nBlue Brain is delighted to announce that t
 he next seminar in the series in Neural Computation\, will be on ‘Point-
 neuron models of the cerebellum\, the role of distributed plasticity expla
 ined by closed-loop experiments.’\n\nThe seminar will be given by Albert
 o Antonietti\, from Nearlab - NeuroEngineering and Medical Robotics Labora
 tory\, Department of Electronics\, Information and Bioengineering\, Polite
 cnico di Milano.\n\nBio: Alberto Antonietti received his Ph.D. in Bioengi
 neering in May 2018 at Politecnico di Milano\, Italy. He has been working 
 on computational neuroscience topics related to motor learning\, focusing 
 in particular on spiking neural network models inspired to the cerebellum.
  He has been active in scientific communities of neuroinformatics and bioe
 ngineering\, with a keen interest in promoting open and reproducible scien
 ce.\n\nAbstract: The cerebellar circuit is actively involved in sensorimo
 tor control and adaptation. During natural learning\, synaptic plasticity 
 in the cerebellum is thought to evolve dynamically and redistribute within
  and among subcircuits. This process should emerge in plastic neural netwo
 rks developing under behavioral feedback and should involve changes distri
 buted across multiple synaptic sites. We have reconstructed a realistic po
 int-neuron cerebellar model\, simplifying biophysically detailed neuronal 
 models\, and we embedded multiple plasticity rules imitating those reveale
 d experimentally. A single model was able to drive learning in various par
 adigms\, expressing a complex repertoire of responses. The model was then 
 tuned to fit experimental data\, estimating the underlying learning time-c
 onstants. This process was characterized by a differential development of 
 long-term potentiation and depression at individual synapses\, with a prog
 ressive accumulation of plasticity distributed over the whole network. Imp
 ortantly\, the model was also able to capture the alterations caused by ce
 rebellar Transcranial Magnetic Stimulation (TMS). This observation reveals
  dynamic redistribution of changes over the entire network and suggests ho
 w TMS affects local circuit computation and memory processing in the cereb
 ellum.\n\nThe seminar is an open event\, at the Blue Brain offices in the 
 Campus Biotech\, Geneva. Upon arrival at the Campus Biotech\, please sign 
 in at the Campus Biotech reception.\n\nHow to get to the Seminar – http
 s://www.epfl.ch/research/domains/bluebrain/blue-brain/contact/\n 
LOCATION:
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR
