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Found 6 papers, 0 papers with code
High-Speed CMOS-Free Purely Spintronic Asynchronous Recurrent Neural Network
Neuromorphic computing systems overcome the limitations of traditional von Neumann computing architectures.
Analog Seizure Detection for Implanted Responsive Neurostimulation
Similarly, power calculations were performed, demonstrating that the system uses $6. 5 \mu W$ per channel, which when compared to the state-of-the-art NeuroPace system would increase battery life by up to $50 \%$.
Passive frustrated nanomagnet reservoir computing
We therefore propose a reservoir that meets all of these criteria by leveraging the passive interactions of dipole-coupled, frustrated nanomagnets.
Domain Wall Leaky Integrate-and-Fire Neurons with Shape-Based Configurable Activation Functions
This work proposes modifications to these spintronic neurons that enable configuration of the activation functions through control of the shape of a magnetic domain wall track.
CMOS-Free Multilayer Perceptron Enabled by Four-Terminal MTJ Device
Neuromorphic computing promises revolutionary improvements over conventional systems for applications that process unstructured information.
Exploiting Dual-Gate Ambipolar CNFETs for Scalable Machine Learning Classification
Ambipolar carbon nanotube based field-effect transistors (AP-CNFETs) exhibit unique electrical characteristics, such as tri-state operation and bi-directionality, enabling systems with complex and reconfigurable computing.
