Abstract
As it has been mentioned in the previous section, the models of the whole neuron are too simplified to reflect all crucial aspects of the signal processing which is performed by the nervous system. Therefore, models of parts of the neuron are created. Both mathematical models and electronic circuits are used for modelling the parts of neural cells. These two approaches refer to each other - if a circuit model is given, then the ordinary differential equation that describes the dynamics of potential or current in the circuit can be formulated.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsAuthor information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Bielecki, A. (2019). Models of Parts of the Neuron. In: Models of Neurons and Perceptrons: Selected Problems and Challenges. Studies in Computational Intelligence, vol 770. Springer, Cham. https://doi.org/10.1007/978-3-319-90140-4_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-90140-4_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-90139-8
Online ISBN: 978-3-319-90140-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)