A simple latency-dependent spiking-neuron model of cricket phonotaxis A simple hypothesis regarding the recognition behaviour of crickets for conspecific songs is implemented in a dynamic simulation of spiking neurons and tes... B Webb,T Scutt - 《Biological Cybernetics》 被引量: 176发表: 2000年...
Neuron modelSpikeThis paper introduces a simple 1-dimensional map-based model of spiking neurons. During the past decades, dynamical models of neurons have been used to investigate the biology of human nervous systems. The models simulate experimental records of neurons' voltages using difference or ...
With an eye toward applications to biology, the simulated systems we tested included a high-dimensional mean-field model of cortical electrodynamics, a model of a spiking neuron, a model of white blood cell concentrations in chronic granulocytic leukemia, and a model of the transcription of the ...
This letter introduces a biologically inspired very simple spiking neuron model. The model retains only crucial aspects of biological neurons: a network of time-delayed weighted connections to other neurons, a threshold-based generation of action potentials, action potential frequency proportional to stimu...
pyHH is a simple Python implementation of the Hodgkin-Huxley spiking neuron model. pyHH simulates conductances and calculates membrane voltage at discrete time points without requiring a differential equation solver. HHSharp is a similar project written in C#. Minimal Code Example A full Hodgkin-Hu...
We also introduce an u2018adaptive dynamical perceptronu2019 as a simple model of a bursting neuron of Rose-Hindmarsh type. We show that networks of such elements are interesting models which lie at the interface of neural networks, coupled map lattices, excitable media and self-organized ...
A neuron model that incorporates synaptic facilitation/depression and neurite outgrowth/retraction was used to construct virtual cultures of 10,000 cells whose spiking behavior and evolution were investigated in closed-loop simulations. This approach allows us to perform detailed analysis of the effects ...
Thus, reward experience, a function of neuron M activity, differs with consumption of different prey, and changes drastically with rewarding Drug or withdrawal. If intake of rewarding prey or Drug is relatively frequent, reward experience diminishes due to homeostatic plasticity. Negative reward ...
The neuron can exhibit rich periodic orbits that is super-stable for initial state and has very fast transient. The periodic orbits are characterized by the rotation number that relates to rate coding of the spike-train. The dynamics can be simplified into the 1-D map of spiking phase. The...
of the most important collective behaviors is studied in a 2D lattice consisting of this new FO neuron model. The outcome of changing stimuli, coupling strength, and fractional-order parameter as the effective parameters is examined in this network. Moreover, an efficient way of suppressing the ...