5 papers
Stochastic binary networks with asymmetric and time-delayed interactions
Hantao Zhang, Sidra Gibeault, Matthew W. Daniels +4
Stochastic binary networks are widely used to describe collective dynamics in complex systems and to perform neuromorphic computation, yet realistic networks often contain both asy…
Intrinsic Annealing in a Hybrid Memristor-Magnetic Tunnel Junction Ising Machine
Mohammed Akib Iftakher, Hugo Levices, Kamel-Eddine Harabi +10
Hardware implementations of the Ising model offer promising solutions to large-scale optimization tasks. In the literature, various nanodevices have been shown to emulate the spin…
Entropy-Assisted Nanosecond stochastic operation in perpendicular superparamagnetic tunnel junctions
Lucile Soumah, Louise Desplat, Nhat-Tan Phan +7
We demonstrate a good agreement between mean dwell times measured in 50~nm diameter, perpendicularly magnetized superparamagnetic tunnel junctions (SMTJ), and theoretical predictio…
Harnessing uncertainty when learning through Equilibrium Propagation in neural networks
Jonathan Peters, Philippe Talatchian
Equilibrium Propagation (EP) is a supervised learning algorithm that trains network parameters using local neuronal activity. This is in stark contrast to backpropagation, where up…
Sampling from exponential distributions in the time domain with superparamagnetic tunnel junctions
Temitayo N. Adeyeye, Sidra Gibeault, Daniel P. Lathrop +8
In the superparamagnetic regime, magnetic tunnel junctions switch between two resistance states due to random thermal fluctuations. The dwell time distribution in each state is exp…