Picture for Guillaume Drion

Guillaume Drion

Montefiore Institute, University of Liège, Liège, Belgium

Spike-based computation using classical recurrent neural networks

Add code
Jun 06, 2023
Viaarxiv icon

Warming-up recurrent neural networks to maximize reachable multi-stability greatly improves learning

Add code
Jun 02, 2021
Figure 1 for Warming-up recurrent neural networks to maximize reachable multi-stability greatly improves learning
Figure 2 for Warming-up recurrent neural networks to maximize reachable multi-stability greatly improves learning
Figure 3 for Warming-up recurrent neural networks to maximize reachable multi-stability greatly improves learning
Figure 4 for Warming-up recurrent neural networks to maximize reachable multi-stability greatly improves learning
Viaarxiv icon

A bio-inspired bistable recurrent cell allows for long-lasting memory

Add code
Jun 09, 2020
Figure 1 for A bio-inspired bistable recurrent cell allows for long-lasting memory
Figure 2 for A bio-inspired bistable recurrent cell allows for long-lasting memory
Figure 3 for A bio-inspired bistable recurrent cell allows for long-lasting memory
Figure 4 for A bio-inspired bistable recurrent cell allows for long-lasting memory
Viaarxiv icon

Introducing Neuromodulation in Deep Neural Networks to Learn Adaptive Behaviours

Add code
Jan 02, 2019
Figure 1 for Introducing Neuromodulation in Deep Neural Networks to Learn Adaptive Behaviours
Figure 2 for Introducing Neuromodulation in Deep Neural Networks to Learn Adaptive Behaviours
Figure 3 for Introducing Neuromodulation in Deep Neural Networks to Learn Adaptive Behaviours
Figure 4 for Introducing Neuromodulation in Deep Neural Networks to Learn Adaptive Behaviours
Viaarxiv icon