A model is presented that reproduces spiking and bursting behavior of known types of cortical neurons. The model combines the biologically plausibility of Hodgkin-Huxley-type dynamics and the computational efficacy of integrate-and-fire neurons. Using this model, one can simulate tens of thousands ...
1. We here consider the property of directional selectivity (DS) in simple cells of layer 4 of area 17 as an instance of a receptive field (RF) transformat... R Maex,GA Orban - 《Journal of Neurophysiology》 被引量: 191发表: 1996年 Simple Model of Spiking Neurons. A model is presen...
M. Simple model of spiking neurons. IEEE Trans. Neural Netw. 14, 1569–1572 (2003). Article CAS PubMed Google Scholar Venkatesan, A. & Lakshmanan, M. Interruption of torus doubling bifurcation and genesis of strange nonchaotic attractors in a quasiperiodically forced map: Mechanisms and ...
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...
The model captures Boltzmann statistics and also reproduces kinetics across a spectrum of timescales. We demonstrate how training the long short-term memory network is equivalent to learning a path entropy, and that its embedding layer, instead of representing contextual meaning of characters, here ...
A white noise technique is presented for estimating the response properties of spiking visual system neurons. The technique is simple, robust, efficient and well suited to simultaneous recordings from multiple neurons. It provides a complete and easily interpretable model of light responses even for ...
Modeling of Spiking-Bursting Neural Behavior Using Two-Dimensional Map A simple model that replicates the dynamics of spiking and spiking-bursting activity of real biological neurons is proposed. The model is a two-dimensional... Rulkov,F Nikolai - 《Physical Review E Statistical Nonlinear & Soft ...
We also demonstrate by simulation that the PRO model performs well for neurons following the classical Leaky Integrate and Fire (LIF) model. A spline extension of the PRO approach is also illustrated. Finally, the PRO model outputs a few simple parameters summarizing how neurons integrate specific...
An integral equation approach to analysing the dynamics of a compartmental model integrate-and-fire neuron with partial reset is presented. The neuron is t... PC Bressloff - 《Physica D-nonlinear Phenomena》 被引量: 63发表: 1995年 Mechanisms underlying fictive feeding in aplysia: coupling between...
An interactive, agent-based model, ASIMOV, reproduces a simple aesthetic sense from known neural relations of cost-benefit decision in foraging. In the presence of very high reward, an addiction-like process emerges. A drug-like prey provides extreme reward with no nutritive value, initiating ...