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In [[neuroscience]], a '''neural network''' describes a [[population]] of [[physically]] interconnected [[neurons]] or a group of disparate neurons whose inputs or signalling targets define a recognizable [[circuit]]. [[Communication]] between neurons often involves an electrochemical [[process]]. The [[interface]] through which they interact with surrounding neurons usually consists of several [http://en.wikipedia.org/wiki/Dendrites dendrites] (input connections), which are connected via [http://en.wikipedia.org/wiki/Synapse synapses] to other neurons, and one [http://en.wikipedia.org/wiki/Axon axon] (output connection). If the sum of the input signals surpasses a certain threshold, the neuron sends an [http://en.wikipedia.org/wiki/Action_potential action potential] (AP) at the [http://en.wikipedia.org/wiki/Axon_hillock axon hillock] and transmits this electrical signal along the axon.
 
In [[neuroscience]], a '''neural network''' describes a [[population]] of [[physically]] interconnected [[neurons]] or a group of disparate neurons whose inputs or signalling targets define a recognizable [[circuit]]. [[Communication]] between neurons often involves an electrochemical [[process]]. The [[interface]] through which they interact with surrounding neurons usually consists of several [http://en.wikipedia.org/wiki/Dendrites dendrites] (input connections), which are connected via [http://en.wikipedia.org/wiki/Synapse synapses] to other neurons, and one [http://en.wikipedia.org/wiki/Axon axon] (output connection). If the sum of the input signals surpasses a certain threshold, the neuron sends an [http://en.wikipedia.org/wiki/Action_potential action potential] (AP) at the [http://en.wikipedia.org/wiki/Axon_hillock axon hillock] and transmits this electrical signal along the axon.

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