Category:Neural networks

From Scholarpedia

Artificial neural networks are interconnected sets of model neurons that simulate the function of biological neural networks.

Subcategories

There is 1 subcategory to this category.

S

• Spiking Networks

Articles in category "Neural_networks"

There are 67 articles in this category.

A ADALINE Adaptive behavior Associative memory Attractor network B Balanced networks Binding problem Boltzmann machine Brain Brain rhythms Brain-state-in-a-box C Cell assemblies Cellular automata Cognition Connectionist models Continuous attractor network Cortical column D Dendritic processing Desynchronization Dynamic link architecture E Echo state network Encyclopedia of computational intelligence Encyclopedia of computational neuroscience

E cont. Entropy of spike trains Error back-propagation Excitatory-inhibitory network F Fast visual processing Function of compound eye Fuzzy neural network G GasNets Grandmother cell H Hartline-Ratliff model Helmholtz machine Hindmarsh-Rose model Hodgkin-Huxley model Hopfield network I Integrate-and-fire neuron L LEGION: locally excitatory globally inhibitory oscillator networks Large-scale brain models Liquid state machine M Mcculloch-Pitts neuron Mind-body problem: New approaches N NEST (NEural Simulation Tool) Neural darwinism Neural fields Neuron

N cont. Neuronal code Neuronal excitability Neuronal synchronization Neuropercolation O Oscillatory associative memory P Perceptron Pulsed coupled neural networks R Recurrent neural networks Reentry S Silicon neurons Sparse coding Spike-response model Spike-timing dependent plasticity Spiking networks Spiking neurons Stochastic optimization Synapse Synfire chains T Talk:Cellular automata Tensor network theory W Wilson-Cowan model Working memory