Action potential parameters and spiking behavior of cortical neurons: a statistical analysis for designing spiking neural networks
A Chakraborty, S Panda… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Cortical neurons exhibit several spiking dynamics both in in-vivo and in-vitro experiments.
Neural spikes or action potentials (APs) are also observed in various shapes and forms …
Neural spikes or action potentials (APs) are also observed in various shapes and forms …
Effects of spike width on spiking frequency in a CMOS neuron design following a subthreshold approach
Neuromorphic circuits employ analog, digital or mixed signal operations to mimic the
electrophysiological behaviour of a brain. A CMOS neuron circuit has been designed. This …
electrophysiological behaviour of a brain. A CMOS neuron circuit has been designed. This …
Probabilistic Boolean Operations in Spiking Neurons for Neuromorphic Systems
Spiking Neural Networks (SNN) along with neuromorphic computing has the advantage of
low power dissipation compared to traditional Von Neumann architectures. Most of the …
low power dissipation compared to traditional Von Neumann architectures. Most of the …
Statistical description of electrophysiological features of neurons across layers of human cortex
Modem deep learning technologies have helped scientists and engineers to solve many
difficult problems in pattern recognition and decision making. Existing deep learning …
difficult problems in pattern recognition and decision making. Existing deep learning …