359 LIF Neuron, Telluride 2023

359 : LIF Neuron, Telluride 2023

Design render
  • Author: Paola Vitolo, Andrew Wabnitz, ReJ aka Renaldas Zioma
  • Description: Standalone test for a Binarized Leaky Integrate and Fire neuron that is part of the larger experimental design from Telluride Neuromorphic Workshop 2023
  • GitHub repository
  • Clock: 10000000 Hz

How it works

Binarized Leaky Integrate and Fire (LIF) neuron supports binary [0/1] inputs and [-1/1] binarized weights. Inputs are multiplied by weights and accumulated on the internal membrane. Membrane is exponentially decaying with every clock cycle. Once membrane value (potential) reaches threshold, neuron spikes and membrane value is decreased.

membrane += inputs * weights
membrane *= decay_factor
membrane -= threshold if membrane > threshold
spike = 1 if membrane > threshold

How to test

While reset is held high, input values are assigned to weights After reset cycle neuron is active. The only output of the neuron is the binary spike!

IO

#InputOutputBidirectional
0input1 / weight1spike
1input2 / weight2
2input3 / weight3
3input4 / weight4
4input5 / weight5
5input6 / weight6
6input7 / weight7
7input8 / weight8

Chip location

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Telluride 2023) tt_um_kpwebb_adder (rusty_adder) Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available Available 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