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 20:05
Emulation on BioemuM for ALS studies Timothee Motor neurons (MN) of an animal model for ALS study MN E13.5 MN E17.5 Detailed model of the neurons soma from recordings and imaging 20um dendrites axon Reproduce different ion 20um currents and morphology of the neuron "Depolarizing gaba/glycine synaptic events switch from excitation to inhibition during frequency increases.", P. Branchereau and al., Scientific Reports 2016
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References
  • 1.
    P. Branchereau et al. (2016) Depolarizing GABA/glycine synaptic events switch from excitation to inhibition during frequency increases. Scientific Reports
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Summary (AI generated)

We use the neuron software for modeling and comparing our results. This software, developed by Yale, is well-known for analyzing single or multiple neurons. We use it as a reference point for our comparisons. Starting with the same model, we implement it in both neurons and our platform. Neuron software requires 3 seconds to simulate 100 milliseconds, causing latency. In contrast, our platform operates in real time.