A Neuromodulable Current-Mode Silicon Neuron for Robust and Adaptive Neuromorphic Systems
This work presents a novel current-mode neuron design using mixed-feedback circuits to emulate brain computation with minimal complexity and low power. The neuron features three distinct timescales (fast, slow, ultraslow) modeled by filters and sigmoids. It enables robust neuromodulation by modulating feedback gains, allowing the circuit to switch between different firing behaviors like tonic spiking and bursting.