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 10:33
Limitations of single compartment moder Timothee No spatial dimension of the neuron (morphology, axon delay, ) Neuron structure can be affected by diseases (i.e. ALS [Forgarty 2016]) Vneuron (t)
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References
  • 1.
    M. J. Fogarty et al. (2016) Cortical synaptic and dendritic spine abnormalities in a presymptomatic TDP-43 model of amyotrophic lateral sclerosis. Scientific Reports
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Summary (AI generated)

Unfortunately, the single compartmental model has limitations, especially when dealing with neurological disorders. This is because it lacks spatial dimensions and often does not accurately represent morphology or delays. Additionally, it may not account for different types of spikes, such as te spike or don't you spike. Neurostructures can be affected by diseases like ALS. To address these limitations, both single compartment model neural networks and multi-compartmental models are implemented.

The multi-compartmental model involves compartmentalizing neurons using different compartments based on an approximation of the cable equation. This approach allows for a more accurate representation of the spatial topology of neurons by incorporating a theory of compartments.