582 citations · 744 across the 17 of their papers we have counts for
19 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…
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…
Measurement-driven Langevin modeling of superparamagnetic tunnel junctions
Liam A. Pocher, Temitayo N. Adeyeye, Sidra Gibeault +7
Superparamagnetic tunnel junctions are important devices for a range of emerging technologies, but most existing compact models capture only their mean switching rates. Capturing q…
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…
Programmable electrical coupling between stochastic magnetic tunnel junctions
Sidra Gibeault, Temitayo N. Adeyeye, Liam A. Pocher +9
Superparamagnetic tunnel junctions (SMTJs) are promising sources of randomness for compact and energy efficient implementations of probabilistic computing techniques. Augmenting an…
Unbiased Random Number Generation using Injection-Locked Spin-Torque Nano-Oscillators
Nhat-Tan Phan, Nitin Prasad, Abderrazak Hakam +9
Unbiased sources of true randomness are critical for the successful deployment of stochastic unconventional computing schemes and encryption applications in hardware. Leveraging na…
Spiking Dynamics in Dual Free Layer Perpendicular Magnetic Tunnel Junctions
Louis Farcis, Bruno Teixeira, Philippe Talatchian +8
Spintronic devices have recently attracted a lot of attention in the field of unconventional computing due to their non-volatility for short and long term memory, non-linear fast r…
Stabilization of phase noise in spin torque nano oscillators by a phase locked loop
Steffen Wittrock, Martin Kreißig, Bertrand Lacoste +10
The main limitation in order to exploit spin torque nano-oscillators (STNOs) in various potential applications is their large phase noise. In this work, we demonstrate its efficien…
Mutual control of stochastic switching for two electrically coupled superparamagnetic tunnel junctions
Philippe Talatchian, Matthew W. Daniels, Advait Madhavan +5
Superparamagnetic tunnel junctions (SMTJs) are promising sources for the randomness required by some compact and energy-efficient computing schemes. Coupling SMTJs gives rise to co…
Flicker and random telegraph noise between gyrotropic and dynamic C-state of a vortex based spin torque nano oscillator
Steffen Wittrock, Philippe Talatchian, Miguel Romera +8
Vortex based spin torque nano oscillators (STVOs) can present more complex dynamics than the spin torque induced gyrotropic (G) motion of the vortex core. The respective dynamic mo…
Beyond the gyrotropic motion: dynamic C-state in vortex spin torque oscillators
Steffen Wittrock, Philippe Talatchian, Miguel Romera Rabasa +9
In the present study, we investigate a dynamical mode beyond the gyrotropic (G) motion of a magnetic vortex core in a confined magnetic disk of a nano-pillar spin torque nano oscil…
Influence of flicker noise and nonlinearity on the frequency spectrum of spin torque nano-oscillators
Steffen Wittrock, Philippe Talatchian, Sumito Tsunegi +12
The correlation of phase fluctuations in any type of oscillator fundamentally defines its spectral shape. However, in nonlinear oscillators, such as spin torque nano oscillators, t…
Binding events through the mutual synchronization of spintronic nano-neurons
Miguel Romera, Philippe Talatchian, Sumito Tsunegi +9
The brain naturally binds events from different sources in unique concepts. It is hypothesized that this process occurs through the transient mutual synchronization of neurons loca…
Energy-efficient stochastic computing with superparamagnetic tunnel junctions
Matthew W. Daniels, Advait Madhavan, Philippe Talatchian +2
Superparamagnetic tunnel junctions (SMTJs) have emerged as a competitive, realistic nanotechnology to support novel forms of stochastic computation in CMOS-compatible platforms. On…
Designing large arrays of interacting spin-torque nano-oscillators for microwave information processing
Philippe Talatchian, Miguel Romera, Flavio Abreu Araujo +6
Arrays of spin-torque nano-oscillators are promising for broadband microwave signal detection and processing, as well as for neuromorphic computing. In many of these applications,…
Microwave neural processing and broadcasting with spintronic nano-oscillators
P. Talatchian, M. Romera, S. Tsunegi +14
Can we build small neuromorphic chips capable of training deep networks with billions of parameters? This challenge requires hardware neurons and synapses with nanometric dimension…
Vowel recognition with four coupled spin-torque nano-oscillators
Miguel Romera, Philippe Talatchian, Sumito Tsunegi +14
Substantial evidence indicates that the brain uses principles of non-linear dynamics in neural processes, providing inspiration for computing with nanoelectronic devices. However,…