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cs.NE2026
Leveraging Non-Equilibrium ECRAM Dynamics for Short-Term Plasticity in Neuromorphic Circuits
Alex Currie, Sean Borkholder, Nithil Harris Manimaran +4
Short-term plasticity (STP) is fundamental to temporal information processing in biological neural systems but remains difficult to realize efficiently in neuromorphic hardware. Me…
cs.NE2025
A Practical Guide to Tuning Spiking Neuronal Dynamics for Computational Neuroscience and NeuroAI Research
William Gebhardt, Nathan McDonald, Clare Thiem +3
In this work, we examine and study the fundamental elements of spiking neural networks (SNNs) as well as how to tune them. Concretely, we focus on two different foundational neuron…
cs.NE2024
Contrastive Learning in Memristor-based Neuromorphic Systems
Cory Merkel, Alexander Ororbia
Spiking neural networks, the third generation of artificial neural networks, have become an important family of neuron-based models that sidestep many of the key limitations facing…