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 17:37
BioemuM - Computation core
Full floating-point coding
ODE solver of higher complexity
Solver
Buffer RAM
Calculate
Add D
Di, Dpi
Forward
Backward sweep
Euler
channel
constant
states
coefficients
Bi, Bpi
nseg
storage
D and B
insegf
Multiply
Registers
by area
Forward sweep
Bi, Bpi
Context FIFOs
area
constant
AXILITE setup
float32
HLS design
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Summary (AI generated)

First, all parameters are stored in the RAM before computation on the hardware platform. For monitoring, there are multiple output options such as Ethernet or a Wi-Fi module. This is important for creating robots where data can be sent outside the robot. Digital conductors inside the board can be used for monitoring with PMODE. Monitoring can be done through DMA, Scope, or internet, with spikes and membrane potential saved for later analysis. Results will be shown later.