leaky integrate and fire neuron circuit based on floating
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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 1 Stochastic spiking neural network abstracts features


  1. 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 1

  2. Stochastic spiking neural network abstracts features essential to recognition from raw input . . Out . In . P ( In | Out ) Out ∈ M Nl . . In ∈ M N 1 ( Nl < N1 ) P Voltage Time 2

  3. Stochasticity in neuronal response is essential to stochastic SNN Output Time … t 1 t 2 t N Input Time T Stochasticity: variability in interspike interval (ISI) 3

  4. 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 4

  5. FGLIF neuron spikes upon incident spikes 5

  6. Stochasticity is on the ground of noise, e.g. thermal, burst, and flicker noise 6

  7. Thank you very much! 7

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