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Efficient Biomimic Artificial Neuron Integrators

This paper explores the implementation of integrators for biomimic artificial neurons, designed to mimic real neuron signal characteristics with low power dissipation and small chip area. The circuit operates within a feedback loop in a Hodgkin-Huxley model.

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Efficient Biomimic Artificial Neuron Integrators

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  1. Delay-Resistor Implementation of Integrators for Biomimic Artificial Neurons Richard B. Wells Bruce Barnes

  2. Background: • Design Application: • Pulse-Mode Artificial Neurons and, in particular, • “Biomimic” Artificial Neurons • Artificial Neurons Specifically Designed to Mimic the Signal Characteristics of Real Neurons

  3. Design Objectives • Mimic Asymmetrical Integration Properties of Biological Neurons • Low Power Dissipation • Small Chip Area • This Circuit is Intended to Operate Within a Feedback Loop in a Biomimic Artificial Neuron

  4. Hodgkin-Huxley Model • The H-H Model Describes the Dynamics of Membrane Potential

  5. Linear Prototype Model Low-Gain Non-Inverting Amplifier • Open-Loop Gain Approximately 2.8 V/V • “Delay Resistors” are P-MOSFETs

  6. Linear Model Transfer Function • Circuit Has 2 Real Poles, 1 Zero • One Pole is a Dominant Pole • This Results in Leaky-Integrator Transfer Function

  7. The Non-Linear Circuit Circuit w/ Buffered Current Source Input

  8. Transfer Characteristic • Current In to Voltage Out

  9. Integrator Response • Fall Time vs. Vbias of Delay Resistors

  10. Response to Pulse Input • Vbias = 1.77 Volts

  11. Thank You. Questions?

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