We present a circuit synthesis methodology to emulate in hardware the electrical behavior of a single bursting neuron. The method is neuromorphic in that the basic circuit elements mimic how ion channels shape the circuit conductance in specific voltage and temporal windows. As an input-output approach, I-V curve shaping proves effective in enabling robust and accurate control of the circuit behavior , suggesting a close analogy to the biophysical mechanisms of neuromodulation  .
We present a novel methodology to enable control of a neuromorphic circuit in close analogy with the physiological neuromodulation of a single neuron. The methodology is general in that it only relies on a parallel interconnection of elementary voltage-controlled current sources. In contrast to controlling a nonlinear circuit through the parameter tuning of a state-space model, our approach is purely input-output . The circuit elements are controlled and interconnected to shape the current-voltage characteristics ( I-V curves) of the circuit in prescribed timescales. In turn, shaping those I-V curves determines the excitability properties of the circuit. We show that this methodology enables both robust and accurate control of the circuit behavior and resembles the biophysical mechanisms of neuromodulation . As a proof of concept, we simulate a SPICE model composed of MOSFET transconductance amplifiers operating in the weak inversion regime .
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circuit synthesis methodology to emulate in hardware the electrical behavior
novel methodology to enable control of a neuromorphic circuit in close analogy with the physiological neuromodulation
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bursting
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method is neuromorphic in that the basic circuit elements mimic how ion channels shape the circuit conductance in specific voltage and temporal windows. As an
methodology is general in that it only relies on a parallel interconnection of elementary voltage-controlled current sources. In contrast to controlling a nonlinear circuit through the parameter tuning of a state-space model, our approach is purely
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approach,
. The circuit elements are controlled and interconnected to shape the current-voltage characteristics (
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curve shaping proves effective in enabling
curves) of the circuit in prescribed timescales. In turn, shaping those I-V curves determines the excitability properties of the circuit. We show that this methodology enables both
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, suggesting a close analogy to
and resembles
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. As a proof of concept, we simulate a SPICE model composed of MOSFET transconductance amplifiers operating in the weak inversion regime