A pulse-coded communications infrastructure for neuromorphic systems
Pulsed neural networks
Spikes: exploring the neural code
Spikes: exploring the neural code
Polychronization: Computation with Spikes
Neural Computation
Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning
Neural Computation
Time-delayed feedback control method and unstable controllers
PHYCON '03 Proceedings of the 2003 International Conference on Physics and Control - Volume 2
IEEE Transactions on Neural Networks
Hi-index | 0.00 |
We investigate the use of Spike Time Dependent Plasticity (STDP) in a network of Nonlinear Dynamic State (NDS) Neurons We find out that NDS Neurons can implement a form of STDP; a biological phenomenon that neocortical neurons own, and would preserve their temporal asymmetric windows of firing activity, while stabilizing to Unstable Periodic Orbits, called UPOs, considered as their neural states Such correlation and ease of integration by using STDP within NDS neurons show that those NDS neurons can truly implement biological realism through their dynamics as it was early speculated in their invention in 2005.