Spiking Neuron Models: An Introduction
Spiking Neuron Models: An Introduction
Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
Applying Fuzzy AHP to Evaluate Therapeutic Action for Electro-acupuncture Analgesia Treatment
FSKD '09 Proceedings of the 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 03
Hi-index | 0.01 |
Neural coding is one of the most important ways for neurons responding to external stimuli. In this paper, a new single-compartment neuron model in the effect of induction electric field (IEF) is established based on a simplified Hodgkin-Huxley (HH) model. We investigate how a neuron encodes the external stimulus and the sensitivity of neuronal firing rate to noises. Noisy direct current IEF (DCIEF) and alternating current IEF (ACIEF) are added into the model at the bifurcation point, respectively. Through numerical simulation, we show that frequency and amplitude of the IEF have significant influences on the sensitivity of neuronal firing rate. The presented results may have important implications for neural information processing.