Hebbian Learning (eBook)

Fundamentals and Applications for Uniting Memory and Learning

Fouad Sabry (Autor)

eBook Download: EPUB

2023 | 1. Auflage
100 Seiten
One Billion Knowledgeable (Verlag)
978-0-00-046868-0 (ISBN)

Infos

What Is Hebbian Learning

The Hebbian theory is a neuropsychological theory that asserts that an improvement in synaptic efficacy results from the repetitive and persistent stimulation of a postsynaptic cell by a presynaptic cell. This is an effort to explain synaptic plasticity, which refers to the process through which neurons in the brain change in response to learning. It was first presented in Donald Hebb's book titled The Organization of Behavior, which was published in 1949. Hebb's rule, Hebb's postulate, and the cell assembly hypothesis are all names for the same body of thought. The way that Hebb expresses it is as follows: Let us assume that the persistence or repetition of a reverberatory action tends to create long-lasting cellular modifications that add to its stability. ... When an axon of cell A is close enough to excite a cell B and takes part in firing it repeatedly or consistently, a growth process or metabolic change takes occur in one or both of the cells, which results in an increase in cell A's efficiency as one of the cells firing cell B. This can happen in either cell.

How You Will Benefit

(I) Insights, and validations about the following topics:

Chapter 1: Hebbian theory

Chapter 2: Chemical synapse

Chapter 3: Long-term potentiation

Chapter 4: Synaptic plasticity

Chapter 5: Long-term depression

Chapter 6: Spike-timing-dependent plasticity

Chapter 7: Neural circuit

Chapter 8: Metaplasticity

Chapter 9: Oja's rule

Chapter 10: BCM theory

(II) Answering the public top questions about hebbian learning.

(III) Real world examples for the usage of hebbian learning in many fields.

Who This Book Is For

Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of hebbian learning.

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Produkt-Details

• Erscheint lt. Verlag: 20.6.2023
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• ISBN-10: 0-00-046868-1 / 0000468681
• ISBN-13: 978-0-00-046868-0 / 9780000468680