Python for Data Science: Master Data Analysis from Scratch, with Business Analytics Tools and Step-by-Step techniques for Beginners. The Future of Machine Learning & Applied Artificial Intelligence by Callaway Jason

Author:Callaway, Jason [Callaway, Jason]
Language: eng
Format: epub
Published: 2020-02-02T16:00:00+00:00

The Structure of Neuron

A neutron is made up of the cell body, having a number of extensions from it.

Majority of these are in the form of branches commonly known as “dendrites”.

A long process or a branching exists, and this is referred to as the “axon”.

The transmission of signals begins at a region in this axon, and this region is known as the “hillock”.

The neuron has a boundary, which is known as the “cell membrane”. A potential difference exists between the inside and the outside of the cell membrane. This is known as the “membrane potential”.

If the input becomes large enough, some action potential will be generated.

This action potential then travels will then travel down the axon and away from the cell body.

A neuron is connected to another neuron by synapses. The information leaves the neuron via an axon and is then passed to the synapses and to the neuron, which is expected to receive it. Note that a neuron will only fire once the threshold exceeds a certain amount. The signals are very important as they are received by the other neurons. The neurons use the signals or the spikes for communication. The spikes are also responsible for encoding the information which is being sent.

Synapses can either be inhibitory or excitatory. When spikes arrive at the excitatory synapse, the receiving neuron will be caused to fire. If the signals are received at an inhibitory synapse, then the receiving neuron is inhibited from firing.

The synapses and the cell body usually calculate the difference in the incoming inhibitory and excitatory inputs. If this difference is found to be too large, the neuron will be made to fire.

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