For questions related to Hebbian learning (or Hebb's rule), which is a local and incremental learning rule that is inspired by biological learning systems (such as the human brain). Put simply, Hebbian learning is based on the idea that the connection between two neurons is strengthened if these two neurons fire together.
Questions tagged [hebbian-learning]
7 questions
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What is the name of a human-inspired machine learning approach?
I once came across a neural network being trained without back-propagation or genetic algorithms (or using any kind of data sets). It was based on how the human brain learns and adjusts its connections between neurons.
What is the name of such a…
Philogy
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5
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1 answer
How can we prove that an autoassociator network will continue to perform if we zero the diagonal elements of a weight matrix?
How can we prove that an auto-associator network will continue to perform if we zero the diagonal elements of a weight matrix that has been determined by the Hebb rule? In other words, suppose that the weight matrix is determined from $W = PP^T-…
estamos
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3
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1 answer
How do you explain Hebbian Learning in an intuitive way?
In these lecture slides, it's written
The neuropsychologist Donald Hebb postulated in 1949 how biological neurons learn:
"When an axon of cell A is near enough to excite a cell B and repeatedly or persistently takes part in firing it, some growth…
user3642
1
vote
1 answer
Do neural networks, trained with backpropagation algorithm, exploit the concept of synaptic plasticity?
Is there some of Hebb's rule behind the concept of backpropagation learning rule of a simple supervised neural network, that for example is trained for classification task ?
I was reading about the concept of synaptic plasticity that is explained in…
HelpNeederStudent
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vote
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What is a Hebbian linear classifier?
I was reading Deep Learning of Representations for Unsupervised and Transfer Learning,
and they state the following:
They have only a small number of unlabeled examples (4096) and very few labeled examples (1
to 64 per class) available to a Hebbian…
Kais Hasan
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vote
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What is an auto-associator?
What is an auto-associator, and how does it work? How can we design an auto-associator for a given pattern? I couldn't find a clear explanation for this anywhere on the internet.
Here's an example of a pattern.
Nusri Nalir
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1 answer
Understanding Hebb network
Can anyone help me in understanding Hebb networking and how different function like AND, OR used to solve by this network.
I couldn’t understand properly through the google.
Lexi
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