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SUMMARY:Point-neuron models of the cerebellum\, the role of distributed pl
 asticity explained by closed-loop experiments
DTSTART:20190703T140000
DTEND:20190703T150000
DTSTAMP:20260921T165032Z
UID:90953665cb525c7857754d9107176ff7b87d72ac0dc0cff5d71a522c
CATEGORIES:Conferences - Seminars
DESCRIPTION:Alberto Antonietti\, Ph.D.
\nNearlab - NeuroEngineering And 
 medical Robotics Laboratory
\nDepartment of Electronics\, Information an
 d Bioengineering\nPolitecnico di Milano\nThe cerebellar circuit is activel
 y involved in sensorimotor 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 networks developing under behavioral feedback and should
  involve changes distributed across multiple synaptic sites. We have recon
 structed a realistic point-neuron cerebellar model\, simplifying biophysic
 ally detailed neuronal models\, and we embedded multiple plasticity rules 
 imitating those revealed experimentally. A single model was able to drive 
 learning in various paradigms\, expressing a complex repertoire of respons
 es. The model was then tuned to fit experimental data\, estimating the und
 erlying learning time-constants. This process was characterized by a diffe
 rential development of long-term potentiation and depression at individual
  synapses\, with a progressive accumulation of plasticity distributed over
  the whole network. Importantly\, the model was also able to capture the a
 lterations caused by cerebellar Transcranial Magnetic Stimulation (TMS). T
 his observation reveals dynamic redistribution of changes over the entire 
 network and suggests how TMS affects local circuit computation and memory 
 processing in the cerebellum.
LOCATION:B1 6 272.043 https://plan.epfl.ch/?room==B1%206%20272.043
STATUS:CONFIRMED
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