Bio-realistic and versatile artificial dendrites made of anti-ambipolar transistors
Yifei Yang, Mingkun Xu, Jing Pei, Peng Li, Guoqi Li, Si Wu, Huanglong Li

TL;DR
This paper introduces a bio-realistic artificial dendrite using anti-ambipolar transistors, enhancing neuromorphic computing by mimicking complex dendritic functions and improving neural network robustness.
Contribution
It presents the first versatile, bio-realistic artificial dendrite made of heterojunction transistors, capable of mimicking dendritic Ca2+ action potentials and regulating synaptic plasticity.
Findings
Artificial dendrite mimics non-monotonic Ca2+ action potentials
Enhances neural network robustness in non-stationary environments
Mimics dendritic regulation of synaptic plasticity
Abstract
The understanding of neural networks as neuron-synapse binaries has been the foundation of neuroscience, and therefore, the emerging neuromorphic computing technology that takes inspiration from the brain. This dogma, however, has been increasingly challenged by recent neuroscience research in which the downplayed dendrites were found to be active, dynamically unique and computationally powerful. To date, research on artificial dendrites is scarce and the few existing devices are still far from versatile or (and) bio-realistic. A breakthrough is hampered by the limited available physical mechanisms in mainstream device architectures. Here, we experimentally demonstrate a bio-realistic and versatile artificial dendrite made of WSe2/MoS2 heterojunction-channel anti-ambipolar transistor, which can closely mimic the experimentally recorded non-monotonic dendritic Ca2+ action potential that…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Memory and Neural Computing · Photoreceptor and optogenetics research · Neuroscience and Neural Engineering
