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  2. Biological neuron model - Wikipedia

    en.wikipedia.org/wiki/Biological_neuron_model

    Biological neuron model. Fig. 1. Neuron and myelinated axon, with signal flow from inputs at dendrites to outputs at axon terminals. The signal is a short electrical pulse called action potential or 'spike'. Fig 2. Time course of neuronal action potential ("spike").

  3. Neuron - Wikipedia

    en.wikipedia.org/wiki/Neuron

    A neuron, neurone, [1] or nerve cell is an excitable cell that fires electric signals called action potentials across a neural network in the nervous system.Neurons communicate with other cells via synapses, which are specialized connections that commonly use minute amounts of chemical neurotransmitters to pass the electric signal from the presynaptic neuron to the target cell through the ...

  4. Neural network - Wikipedia

    en.wikipedia.org/wiki/Neural_network

    In biology. In the context of biology, a neural network is a population of biological neurons chemically connected to each other by synapses. A given neuron can be connected to hundreds of thousands of synapses. [1] Each neuron sends and receives electrochemical signals called action potentials to its connected neighbors.

  5. Neural network (biology) - Wikipedia

    en.wikipedia.org/wiki/Neural_network_(biology)

    Overview. A biological neural network is composed of a group of chemically connected or functionally associated neurons. [2] A single neuron may be connected to many other neurons and the total number of neurons and connections in a network may be extensive. Connections, called synapses, are usually formed from axons to dendrites, though ...

  6. Neural network (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Neural_network_(machine...

    v. t. e. In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a model inspired by the structure and function of biological neural networks in animal brains. [ 1 ][ 2 ] An ANN consists of connected units or nodes called artificial neurons, which loosely model the neurons in the brain.

  7. Deep learning - Wikipedia

    en.wikipedia.org/wiki/Deep_learning

    Deep learning is a subset of machine learning methods that utilize neural networks for representation learning. The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data. The adjective "deep" refers to the use of multiple layers (ranging from three ...

  8. Neural backpropagation - Wikipedia

    en.wikipedia.org/wiki/Neural_backpropagation

    Neural backpropagation is the phenomenon in which, after the action potential of a neuron creates a voltage spike down the axon (normal propagation), another impulse is generated from the soma and propagates towards the apical portions of the dendritic arbor or dendrites (from which much of the original input current originated).

  9. Neural circuit - Wikipedia

    en.wikipedia.org/wiki/Neural_circuit

    Biological Neural Network Toolbox Archived 2016-07-14 at the Wayback Machine - A free Matlab toolbox for simulating networks of several different types of neurons; WormWeb.org: Interactive Visualization of the C. elegans Neural Network - C. elegans, a nematode with 302 neurons, is the only organism for whom the entire neural network has been ...