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 11:46
Timothee
Multicompartmental model
Connected sections
divided in segments (or compartments)
d1211x
Soma
d121
d1212x
d1213x
axon1
Multi-compartment neuron
V(t,x)
Ax=L/N
(t,i)
Spatial discretization
Dendrite (d1)
Soma
L : cable/section length
Compartment
Virtual point
Axon (axon1)
Location of voltage computation
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Summary (AI generated)

The conduction of the action potential in each compartment changes its properties as it evolves. Implementing compartmental models, especially in hardware, can be difficult due to the need to use different methodologies to solve differential equations. For single compartments, the forward Euler methodology is commonly used, but it is not stable for multicompartmental models. In these cases, the Crank-Nicholson methodology is necessary, requiring more resources to solve the differential equations.