7 citations · 18 across the 27 of their papers we have counts for
4 papers · 1 filter
Continual Learning with Hebbian Plasticity in Sparse and Predictive Coding Networks: A Survey and Perspective
Ali Safa
Recently, the use of bio-inspired learning techniques such as Hebbian learning and its closely-related Spike-Timing-Dependent Plasticity (STDP) variant have drawn significant atten…
Towards Chip-in-the-loop Spiking Neural Network Training via Metropolis-Hastings Sampling
Ali Safa, Vikrant Jaltare, Samira Sebt +4
This paper studies the use of Metropolis-Hastings sampling for training Spiking Neural Network (SNN) hardware subject to strong unknown non-idealities, and compares the proposed ap…
Active Inference in Hebbian Learning Networks
Ali Safa, Tim Verbelen, Lars Keuninckx +5
This work studies how brain-inspired neural ensembles equipped with local Hebbian plasticity can perform active inference (AIF) in order to control dynamical agents. A generative m…
Open the box of digital neuromorphic processor: Towards effective algorithm-hardware co-design
Guangzhi Tang, Ali Safa, Kevin Shidqi +6
Sparse and event-driven spiking neural network (SNN) algorithms are the ideal candidate solution for energy-efficient edge computing. Yet, with the growing complexity of SNN algori…