Results 181 to 190 of about 64,361 (214)
The timing of LIP remapping is consistent with a wave of activity and brings into question the relevance of the pre-saccadic remapped response. [PDF]
J NeurophysiolAlkan Y, Morris A, Bisley JW.
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Connecting the dots: deep learning-based automated model building methods in cryo-EM. [PDF]
Front Mol BiosciBansia H, des Georges A.
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Map-based models in neuronal dynamics
Physics Reports, 2011Abstract Ever since the pioneering work of Hodgkin and Huxley, biological neuron models have consisted of ODEs representing the evolution of the transmembrane voltage and the dynamics of ionic conductances. It is only recently that discrete dynamical systems–also known as maps–have begun to receive attention as valid phenomenological neuron models ...
M A F Sanjuan
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One dimensional map-based neuron model: A phase space interpretation
Chaos, Solitons and Fractals, 2020Abstract Computational models play an essential role in studying and predicting the behavior of a bio-system. Discrete dynamical models, usually known as maps, are important, especially when it comes to the mathematical study of the behavior of the neurons and neural network.
Sajad Jafari +2 more
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Spiral and target wave chimeras in a 2D lattice of map-based neuron models
Chaos, 2019We study the dynamics of a two-dimensional lattice of nonlocally coupled-map-based neuron models represented by Rulkov maps. It is firstly shown that this discrete-time neural network can exhibit spiral and target waves and corresponding chimera states when the control parameters (the coupling strength and the coupling radius) are varied.
Galina Strelkova +2 more
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Bursting regimes in map-based neuron models coupled through fast threshold modulation
Physical Review E, 2008A system consisting of two map-based neurons coupled through reciprocal excitatory or inhibitory chemical synapses is discussed. After a brief explanation of the basic mechanism behind generation and synchronization of bursts, parameter space is explored to determine less obvious but biologically meaningful regimes and effects.
MIGUEL A F Sanjuan, Hongjun Cao
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Synchronization effects using a piecewise linear map-based spiking–bursting neuron model
Neurocomputing, 2006Models of neurons based on iterative maps allows the simulation of big networks of coupled neurons without loss of biophysical properties such as spiking, bursting or tonic bursting and with an affordable computational effort. These models are built over a phenomenological basis and are mainly implemented by the use of iterative two-dimensional maps ...
Eduardo Serrano +2 more
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