4 citations · 9 across the 4 of their papers we have counts for
4 papers
Associative Memory in Iterated Overparameterized Sigmoid Autoencoders
Yibo Jiang, Cengiz Pehlevan
Recent work showed that overparameterized autoencoders can be trained to implement associative memory via iterative maps, when the trained input-output Jacobian of the network has…
Blind Bounded Source Separation Using Neural Networks with Local Learning Rules
Alper T. Erdogan, Cengiz Pehlevan
An important problem encountered by both natural and engineered signal processing systems is blind source separation. In many instances of the problem, the sources are bounded by t…
Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks
Dina Obeid, Hugo Ramambason, Cengiz Pehlevan
Synaptic plasticity is widely accepted to be the mechanism behind learning in the brain's neural networks. A central question is how synapses, with access to only local information…
A Spiking Neural Network with Local Learning Rules Derived From Nonnegative Similarity Matching
Cengiz Pehlevan
The design and analysis of spiking neural network algorithms will be accelerated by the advent of new theoretical approaches. In an attempt at such approach, we provide a principle…