Balanced Resonate-and-Fire Neurons

arXiv:2402.14603v1 Announce Type: cross
Abstract: The resonate-and-fire (RF) neuron, introduced over two decades ago, is a simple, efficient, yet biologically plausible spiking neuron model, which can extract frequency patterns within the time domain due to its resonating membrane dynamics. However, previous RF formulations suffer from intrinsic shortcomings that limit effective learning and prevent exploiting the principled advantage of RF neurons. Here, we introduce the balanced RF (BRF) neuron, which alleviates some of the intrinsic limitations of vanilla RF neurons and …

abstract arxiv cs.lg cs.ne domain dynamics extract fire intrinsic neuron neurons patterns simple type