| Autor: |
Li, Hanxi, Hu, Jiayang, Chen, Anzhe, Wang, Chenhao, Chen, Li, Tian, Feng, Zhou, Jiachao, Zhao, Yuda, Chen, Jinrui, Tong, Yi, Loh, Kian Ping, Xu, Yang, Zhang, Yishu, Hasan, Tawfique, Yu, Bin |
| Přispěvatelé: |
Yu, Bin [0000-0003-0237-6311], Apollo - University of Cambridge Repository |
| Rok vydání: |
2022 |
| Předmět: |
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| DOI: |
10.17863/cam.89239 |
| Popis: |
Brain-inspired neuromorphic computing systems with the potential to drive the next wave of artificial intelligence demand a spectrum of critical components beyond simple characteristics. An emerging research trend is to achieve advanced functions with ultracompact neuromorphic devices. In this work, a single-transistor neuron is demonstrated that implements excitatory-inhibitory (E-I) spatiotemporal integration and a series of essential neuron behaviors. Neuronal oscillations, the fundamental mode of neuronal communication, that construct high-dimensional population code to achieve efficient computing in the brain, can also be demonstrated by the neuron transistors. The highly scalable E-I neuron can be the basic building block for implementing core neuronal circuit motifs and large-scale architectural plans to replicate energy-efficient neural computations, forming the foundation of future integrated neuromorphic systems. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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