1 citations · 1 across the 4 of their papers we have counts for
4 papers
Optimising the topology of complex neural networks
Fei Jiang, Hugues Berry, Marc Schoenauer
In this paper, we study instances of complex neural networks, i.e. neural netwo rks with complex topologies. We use Self-Organizing Map neural networks whose n eighbourhood relatio…
Effects of Hebbian learning on the dynamics and structure of random networks with inhibitory and excitatory neurons
Benoit Siri, Mathias Quoy, Bruno Delord +2
The aim of the present paper is to study the effects of Hebbian learning in random recurrent neural networks with biological connectivity, i.e. sparse connections and separate popu…
A mathematical analysis of the effects of Hebbian learning rules on the dynamics and structure of discrete-time random recurrent neural networks
Benoit Siri, Hugues Berry, Bruno Cessac +2
We present a mathematical analysis of the effects of Hebbian learning in random recurrent neural networks, with a generic Hebbian learning rule including passive forgetting and dif…
Characterizing Self-Developing Biological Neural Networks: A First Step Towards their Application To Computing Systems
Hugues Berry, Olivier Temam
Carbon nanotubes are often seen as the only alternative technology to silicon transistors. While they are the most likely short-term one, other longer-term alternatives should be s…