Artificial neurons in the context of Neural network

Artificial neurons in the context of Neural network

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⭐ Core Definition: Artificial neurons

An artificial neuron is a mathematical function conceived as a model of a biological neuron in a neural network. The artificial neuron is the elementary unit of an artificial neural network.

The design of the artificial neuron was inspired by biological neural circuitry. Its inputs are analogous to excitatory postsynaptic potentials and inhibitory postsynaptic potentials at neural dendrites, or activation. Its weights are analogous to synaptic weights, and its output is analogous to a neuron's action potential which is transmitted along its axon.

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Artificial neurons in the context of Neural network (biology)

A neural network, also called a neuronal network, is an interconnected population of neurons (typically containing multiple neural circuits). Biological neural networks are studied to understand the organization and functioning of nervous systems.

Closely related are artificial neural networks, machine learning models inspired by biological neural networks. They consist of artificial neurons, which are mathematical functions that are designed to be analogous to the mechanisms used by neural circuits.

View the full Wikipedia page for Neural network (biology)
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LINKED FROM (PARENTS)
← Neural network (biology) ← Biological neural networks ← Biological neural network
LINKS TO (CHILDREN)
Function (mathematics) → Mathematical model → Neuron → Neural network → Neural network (machine learning) → Neural circuit → Excitatory postsynaptic potential → Inhibitory postsynaptic potential → Dendrite → Synaptic weight → Action potential → Axon →