Fig. 2, [(a) Biological neuron. The synapses...]. - Machine Learning for Brain Disorders

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Colliot O, editor. Machine Learning for Brain Disorders [Internet]. New York, NY: Humana; 2023. doi: 10.1007/978-1-0716-3195-9_1

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Machine Learning for Brain Disorders [Internet].

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Diagram A is of a neuron with the labeled parts dendrites, cell body, axon, and axon terminal. Diagram B consists of X 1 through X p, converging at sigma through w 1 through W p. It ends with y.

Fig. 2

(a) Biological neuron. The synapses form the input of the neuron. Their signals are combined, and if the result exceeds a given threshold, the neuron is activated and produces an output signal which is sent through the axon. (b) The perceptron: an artificial neuron which is inspired by biology. It is composed of the set of inputs (which correspond to the information entering the synapses) x_i, which are linearly combined with weights w_i and then go through a non-linear function g to produce an output y. Image in panel (a) is courtesy of Thibault Rolland

From: Chapter 1, A Non-technical Introduction to Machine Learning

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Colliot O. A Non-technical Introduction to Machine Learning. 2023 Jul 23. In: Colliot O, editor. Machine Learning for Brain Disorders [Internet]. New York, NY: Humana; 2023. Fig. 2, [(a) Biological neuron. The synapses...]. doi: 10.1007/978-1-0716-3195-9_1
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