Category:Computational neuroscience

From Scholarpedia

Encyclopedia of Computational Neuroscience

Computational neuroscience is a subfield of neuroscience that uses mathematical methods to simulate and understand the function of the nervous system.

Among participants of Encyclopedia of Computatinal Neuroscience are M. Abeles (the inventor of Synfire Chains), Leon Cooper (the co-inventor of BCM Theory), A. Destexhe (High-conductance state and Spike-and-wave oscillations), B. Ermentrout (the creator of XPPAUT and Ermentrout-Kopell canonical model), R. FitzHugh (the inventor of FitzHugh-Nagumo model), H. Haken (the creator of Synergetics), J.J. Hopfield (the inventor of Hopfield network), T. Kohonen (the inventor of Kohonen network), H. Lecar (the inventor of Morris-Lecar model), W. Rall (the inventor of Rall model), W. Singer (the inventor of the concept of Binding by synchrony), I. Tasaki (the discoverer of Saltatory conduction), and many others.

List of suggested topics is at Talk:Encyclopedia of computational neuroscience.

Participation in this project is by invitation only. Please, contact editor-in-chief mailto:Eugene.Izhikevich@nsi.edu if you have suggestions.

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Subcategories

There are 39 subcategories to this category.

A Artificial Intelligence B Bifurcations Brain Models Brain Theory C Chaos Cognitive Science Cognitive neuroscience Complexity Computational Intelligence Conditioning Consciousness D Dynamical systems E Electrophysiology

E cont. Evolutionary Computation F Feedforward Networks G Graph Theory H Hippocampus I Information Theory M Memory Models of Neurons N Navigation and Control Network Dynamics Neural networks Neuroimaging Neuron Neuroscience O Olfaction

O cont. Oscillators P Pattern Formation Pattern Recognition R Recurrent Neural Networks Reinforcement Learning Robotics S Signal Analysis Simulation Environment Spiking Networks Supervised learning Synapse Synchronization

Articles in category "Computational_neuroscience"

There are 161 articles in this category.

A Action selection Adaptive exponential integrate-and-fire model Agent based modeling Animat Attention Attention and consciousness Attention and consciousness/how to manipulate attention Axonal conduction delays B BCM theory Balance of excitation and inhibition Basal ganglia Binding problem Boltzmann machine Brain Brain connectivity Brain-machine interface Burst synchronization Bursting C CODAM model: Through attention to consciousness Cellular neural network Chaotic itinerary Classical conditioning Cognitive map Complexity Computational Correlates of Consciousness Computational neuroanatomy Computational neuroethology Computer vision Conductance-based models Connectome Consciousness Controlling chaos Cortical memory Crises Cybernetics D Dendritic processing Diffusion tensor imaging Dynamic causal modeling Dynamic clamp Dynamic neuropharmacology E Echolocation in bats Electroencephalogram Electrolocation Electrophysiology Encyclopedia of computational intelligence Encyclopedia of computational neuroscience Ermentrout-Kopell canonical model Event-related brain dynamics Excitatory-inhibitory network F Fast oscillations Fear Fiber assignment by continuous tracking FitzHugh-Nagumo model

F cont. Freeman K-set Function of compound eye G GENESIS (simulation environment) Gain modulation Gierer-Meinhardt model Grandmother cell Granger causality H High-conductance state Hilbert transform for brain waves Hippocampus Holonomic brain theory Hopfield network I Information theory in neuroscience Insect phototransduction Intentionality Interneurons Intracellular recording Intrinsic plasticity Invariance learning Isochron J Jeffress model K Kohonen network M Mcell Mckean model Mechanoreceptors and stochastic resonance Medial temporal lobe MirrorBot Model sharing in computational neuroscience Models of dopaminergic modulation Models of sleep Models of spinal cord Models of birdsong (physics) Models of calcium dynamics Models of consciousness Models of hippocampus Models of hypothalamus Models of mirror system Models of synaptic plasticity Models of thalamocortical system Models of visual cortex Modular models of brain function Molecular biology of sleep Morris-Lecar model Multi-stability in neuronal models Mutual information N NEST (NEural Simulation Tool) NETMORPH Neural correlates of consciousness Neural fields Neural inhibition Neural networks Neurocognitive networks Neuroinformatics Neuromodulation

N cont. Neuron Neuron simulation environment Neuronal avalanche Neuronal cable theory Neuronal code Neuronal excitability Neuronal noise Neuronal synchrony measures Neurorobotics P Perceptron Periodic orbit Phase model Phase response curve Plant model Projective field Pulse coupled oscillators Pulsed coupled neural networks R Rall model Raphe Receptive field Reinforcement Reinforcement learning Rescorla-Wagner model Reward Reward signals Ring model S Saddle-node bifurcation on invariant circle Saliency map Saltatory conduction Scale-free neocortical dynamics Scale-free networks Seizure detection Seizure prediction Self-organization of brain function Signal-to-noise ratio Signal-to-noise ratio in neuroscience Single electrode voltage clamp Slow feature analysis Source localization Sparse coding Spike frequency adaptation Spike sorting Spike train and point processes Spike-and-wave oscillations Spike-timing dependent plasticity Spiking networks Stochastic dynamical systems Stochastic models of ion channel gating Stomatogastric ganglion Subthalamus Subthreshold oscillation Synergetics Synfire chains T Talk:Cellular automata