5 papers
Electrolyte Bonding Engineering for Highly Uniform GeTe-based CBRAM and Parallel Hebbian Learning in Selector-free Hopfield Networks
Jiin Bang, Jingyeong Hwang, Unhyeon Kang +10
Hopfield networks offer a hardware-friendly framework for energy-efficient associative memory, yet their practical realization in memristor crossbar arrays is critically hindered b…
A Hardware-aware Hopfield Network with a Nonlinear Memristor Array for Robust Associative Memory with Superlinear Capacity
Younghyun Lee, Hakseung Rhee, Unhyeon Kang +9
Associative memory retrieves complete patterns from partial or corrupted inputs and constitutes a primitive form of generative inference. Classical Hopfield networks (CHN) provide…
Neuronal arithmetic operators based on Ovonic threshold switches (OTS) for biologically inspired analog computing
Jingyeong Hwang, Jaesang Lee, Jiin Bang +10
Biological neurons perform arithmetic computations - including additive integration and divisive gain modulation - through synaptic conductance changes and shunting inhibition, ena…
Early-warning the compact-to-dendritic transition via spatiotemporal learning of two-dimensional growth images
Hyunjun Jang, Chung Bin Park, Jeonghoon Kim +1
Transitions between distinct dynamical regimes are ubiquitous in nonequilibrium systems. As a prototypical example, deposition growth is often accompanied by irreversible morpholog…
Ovonic switches enable energy-efficient dendrite-like computing
Unhyeon Kang, Jaesang Lee, Seungmin Oh +9
Over the last decade, dendrites within individual biological neurons, which were previously thought to generally perform information pooling and networking, have now been shown to…