DEI Talks | “Hybrid neural systems: neuromorphic computing for real-time control of brain activity” por Paulo Aguiar (i3S-U.Porto)

A palestra intitulada “Hybrid neural systems: neuromorphic computing for real-time control of brain activity“, será apresentada no dia 15 de junho, pelas 14:00, na sala I-105. A moderação ficará a cargo de Henrique Lopes Cardoso (DEI).

Sobre a Palestra:

“The brain is a powerful model for fast, adaptive and energy-efficient information processing. Translating these principles into computing systems is a major challenge with direct relevance for the next generation of intelligent neural interfaces. In this talk I will present work from my research group where we developed a hybrid neural system combining biological neurons with neuromorphic hardware, where artificial spiking neurons process ongoing brain activity in real time. By converting biological signals into spike-based representations, we trained spiking neural networks (SNNs) to identify short-lived electrophysiological patterns and deployed them on neuromorphic hardware. This system was integrated with open-source electrophysiology tools to create a closed-loop pipeline capable of detecting ongoing brain states and triggering targeted stimulation with low latency. Using this approach, we show that hybrid systems linking artificial and biological neurons can support real-time interaction with living neural circuits. These results provide a proof-of-concept for accessible neuromorphic neural interfaces and open new possibilities for adaptive, low-power and biologically inspired computing technologies.”

Sobre o Orador:

Paulo Aguiar é licenciado em Física (Universidade de Lisboa, PT) e doutorado em Neurociência Computacional pelo Instituto de Computação Adaptativa e Neural (Universidade de Edimburgo, Reino Unido). Desde 2016, dirige o Laboratório de Neuroengenharia e Neurociência Computacional (i3S-UPorto, PT). O seu grupo adota uma abordagem ascendente, centrando-se na compreensão de como os circuitos neurais processam e armazenam informação. A equipa combina conhecimentos especializados em neurobiologia, métodos analíticos avançados e modelos computacionais, para revelar e reparar a função neural. Já foi (co)investigador principal/líder de tarefa em mais de 20 projetos de investigação nacionais e internacionais obtidos através de concursos.

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