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Boa tarde,<br>
<br>
Informamos que vai decorrer na próxima 2a feira uma palestra, sobre
o tema "<b>Neurorobotics model of Parkinson's Disease</b>" (detalhes
abaixo incluídos), para a qual estão todos convidados.<br>
<br>
Com os melhores cumprimentos<br>
-- Urbano J. Nunes e Gabriel Pires<br>
-------------------------------------------------------------------------------------------------------------------------------------------------------------<br>
<br>
<b>Local: </b>Anfiteatro do ISR<br>
<b>Data/Hora:</b> 07/02/2022, com início às 14h30<br>
<br>
<div><b>Título da Palestra: Neurorobotics model of Parkinson's
Disease<br>
Orador: </b><b><b>Assistant Professor Dr. Renan C. Moioli
(Digital Metropolis Institute (IMD) from the Federal
University of Rio Grande do Norte, Brazil)<br>
</b></b> <br>
In this talk, I will first describe our work on developing a
neurorobotics model of Parkinson's Disease (PD). PD is a
neurodegenerative disorder, linked to the death of dopaminergic
neurons at the substantia nigra pars compacta, which affects the
normal dynamics of the basal ganglia-thalamus-cortex (BG-T-C)
neuronal circuit of the brain. Although there are multiple
mechanisms underlying the disease, a complete description of those
mechanisms and molecular pathogenesis are still missing, and there
is still no cure. In our computational model, we performed a
data-driven approach in which a set of biologically constrained
parameters is optimised using evolutionary computation. Evolved
models successfully resembled spectral signatures of local field
potentials and single-neuron mean firing rates from healthy and
parkinsonian marmoset monkey brain data. Eventually, we hope that
our work may facilitate the investigation of the mechanisms of PD
and support the development of new therapies. Then, in the final
part of the talk, I'll highlight how spiking neural networks with
biophysically plausible neural architectures, such as the one
developed in our project, are being used in diverse applications.
These networks are often faster and require less energy to
operate, and may benefit from novel neuromorphic implementations.
<br>
<br>
Short Bio<br>
Dr. Renan C. Moioli is an assistant professor at the Digital
Metropolis Institute (IMD) from the Federal University of Rio
Grande do Norte, Brazil, where he is also part of the Graduate
Program in Bioinformatics. He has a D. Phil. in Cognitive Science
from the University of Sussex (2013), UK, working at the Centre
for Computational Neuroscience and Robotics (CCNR). From 2013 to
2018 he was a research fellow at the Edmond and Lily Safra
International Institute of Neuroscience, Brazil. His research
interests are in the fields of computational intelligence and
intelligent robotics. He is currently a UK Royal Society Newton
Advanced Fellow, working in close collaboration with Dr. Patricia
Vargas and Heriot-Watt's Robotics Laboratory in the project
"Neuro4PD: neurorobotics model of Parkinson's Disease".<br>
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