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Topic: sensorimotor integration

ePoster
2 ePosters
Seminar
1 seminar

In Neuroscience and Electrophysiology

Seminar · Computational Neuroscience

NMC4 Short Talk: Brain-inspired spiking neural network controller for a neurorobotic whisker system

Alberto Antonietti · University of Pavia

Thu, Dec 2, 2021 · 05:30 UTC

It is common for animals to use self-generated movements to actively sense the surrounding environment. For instance, rodents rhythmically move their whiskers to explore the space close to their body. The mouse whisker system has become a standard model to study active sensing and sensorimotor integration through feedback loops. In this work, we developed a bioinspired spiking neural network model of the sensorimotor peripheral whisker system, modelling trigeminal ganglion, trigeminal nuclei, facial nuclei, and central pattern generator neuronal populations. This network was embedded in a virt

ePoster · Neuroscience

EEG beta de-synchronization signs the efficacy of a rehabilitation treatment for speech impairment in Parkinson’s disease population

Giovanni Vecchiato, Chiara Palmisano, Elena Hilary Rondoni, Ioannis Ugo Isaias, Daniele Volpe, Alberto Mazzoni · FENS Forum 2024

Speech impairment is reported among 70% of the Parkinson’s disease (PD) population, deeply impacting individual quality of life and social costs. Because of the lack of efficacy of pharmacological and DBS treatments, we developed an experimental protocol based on the Lee Silverman Voice Therapy (LSVT) and transcranial direct current stimulation (tDCS) to study the role that such treatments have on electroencephalographic (EEG) oscillations. We enrolled 10 PD patients affected by speech disorders who underwent the 1-month LSVT protocol coupled with tDCS over the right Superior Temporal Gyrus (r

ePoster · Neuroscience

Effect of subthreshold haptic stimulation on learning

João Miguel Alves Ferreira, Sergii Tukaiev, Pravda Oleksandr, Viktor Komarenko, Sergey Danylov, Uladzislau Lukashevich, Mykola Makarchuk · FENS Forum 2024

Virtual reality (VR) technologies allow to reproduce the working process. Forming the correct dynamics, personification of training and quality control can be solved using the haptic technology. We hypothesized that the use of haptic stimulation technology in combination with VR simulation of a working process will increase the efficiency of learning. Our aim was to investigate the effects of haptic electrical stimulation on motor learning and corresponding brain activity. The learning was carried out in a VR simulator with a full-body haptic suit (Teslasuit, https://teslasuit.io) to reinforce