Synaptic Transistors Using Scalable Graphene Nanoribbons
M Sun, Z Xu, S Qu, L Liu, Q Zhu… - The Journal of Physical …, 2024 - ACS Publications
Graphene has demonstrated potential for use in neuromorphic electronics due to its superior
electrical properties. However, these devices are all based on graphene sheets without …
electrical properties. However, these devices are all based on graphene sheets without …
Boolean Computation in Single‐Transistor Neuron
H Li, J Hu, Y Zhang, A Chen, L Lin, G Chen… - Advanced …, 2024 - Wiley Online Library
Brain neurons exhibit far more sophisticated and powerful information‐processing
capabilities than the simple integrators commonly modeled in neuromorphic computing. A …
capabilities than the simple integrators commonly modeled in neuromorphic computing. A …
Towards Reverse-Engineering the Brain: Brain-Derived Neuromorphic Computing Approach with Photonic, Electronic, and Ionic Dynamicity in 3D integrated circuits
The human brain has immense learning capabilities at extreme energy efficiencies and
scale that no artificial system has been able to match. For decades, reverse engineering the …
scale that no artificial system has been able to match. For decades, reverse engineering the …
Skin Controlled Electronic and Neuromorphic Tattoos
D Kireev, N Koripally, S Liu, GC Fleming… - arxiv preprint arxiv …, 2024 - arxiv.org
Wearable human activity sensors developed in the past decade show a distinct trend of
becoming thinner and more imperceptible while retaining their electrical qualities, with …
becoming thinner and more imperceptible while retaining their electrical qualities, with …