Bio-inspired multimodal learning with organic neuromorphic electronics for behavioral conditioning in robotics
Biological systems interact directly with the environment and learn by receiving multimodal feedback via sensory stimuli that shape the formation of internal neuronal representations. Drawing inspiration from biological concepts such as exploration and sensory processing that eventually lead to beha...
Main Authors: | Krauhausen, I, Griggs, S, McCulloch, I, den Toonder, JMJ, Gkoupidenis, P, van de Burgt, Y |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Nature Research
2024
|
Similar Items
-
Unravelling the operation of organic artificial neurons for neuromorphic bioelectronics
by: Belleri, P, et al.
Published: (2024) -
A modular organic neuromorphic spiking circuit for retina-inspired sensory coding and neurotransmitter-mediated neural pathways
by: Giovanni Maria Matrone, et al.
Published: (2024-04-01) -
Brain-Inspired Self-Organization with Cellular Neuromorphic Computing for Multimodal Unsupervised Learning
by: Lyes Khacef, et al.
Published: (2020-10-01) -
Organic neuromorphic devices : past, present, and future challenges
by: Tuchman, Yaakov, et al.
Published: (2021) -
Editorial: Focus on organic materials, bio-interfacing and processing in neuromorphic computing and artificial sensory applications
by: Yoeri van de Burgt, et al.
Published: (2023-01-01)