Implementing robust neuromodulation in neuromorphic circuits
Fernando Casta\~nos, Alessio Franci

TL;DR
This paper presents a methodology for implementing robust neuromodulation in neuromorphic circuits, enabling electronic devices to mimic complex neuronal spiking behaviors with real-world robustness.
Contribution
It introduces a novel circuit design that replicates physiological neuronal transitions and maintains robustness in practical applications.
Findings
Successful implementation of neuronal spiking mode transitions in circuits
Robustness demonstrated in preliminary real-world experiments
Circuit behavior matches high-dimensional neuron models
Abstract
We introduce a methodology to implement the physiological transition {between distinct neuronal spiking modes} in electronic circuits composed of resistors, capacitors and transistors. The result is a simple neuromorphic device organized by the same geometry {and exhibiting the same input--output properties as} high-dimensional electrophysiological neuron models. {Preliminary} experimental results highlight the robustness of the approach in real-world applications.
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