Leaky integrate-and-fire neuron circuit based on floating-gate integrator

Vladimir Kornijcuk, Hyungkwang Lim, and Doo Seok Jeong

Korea Institute of Science and Technology

dsjeong@kist.re.kr

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Stochastic spiking neural network abstracts features essential to recognition from raw input

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. In ∈MN1

Out ∈MNl

(Nl < N1)

In Out

Time Volta

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P(In|Out)

P

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Stochasticity in neuronal response is essential to stochastic SNN

Time

Out

put

t1 t2 tN …

Time

Inp

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Stochasticity: variability in interspike interval (ISI)

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Floating-gate leaky integrate-and-fire (FGLIF) neuron circuit

Integrator Amplifier1 Amplifier2

Polarity inverter (reset)

Circuit simulation: LTSpice (BSIM 4 model: 65 nm technology)

Kornijcuk et al., Front. Neurosci. 10, 212, 2016

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FGLIF neuron spikes upon incident spikes

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Stochasticity is on the ground of noise, e.g. thermal, burst, and flicker noise

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Thank you very much!