Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA - presented by Pr Timothée Levi

Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA

Pr Timothée Levi

Pr Timothée Levi
Slide at 02:45
Context
Timothee
Millions of people affected by neurological disorders
Drug-resistant patients
Advanced in bio/physic interface
Artificial neuron
Electroceutic therapy
Biomimetic neural network
Bio-hybrid system
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Summary (AI generated)

Our objective is to modify, replace, and control biological neural activity. We have two main applications for this work. The first is developing therapeutic protocols, including electrolytics and designing new neuroprostheses. The second application is in artificial intelligence, using neural networks for signal processing tasks. Both applications use the same system, requiring real-time communication for efficient operation. Closed-loop communication, allowing bi-directional communication, is essential for our bio-hybrid platform, which involves communicating with living cells using a biomimetic neural network.