Results 41 to 50 of about 17,204,563 (294)

Exploring olfactory sensory networks: Simulations and hardware emulation [PDF]

, 2010
Olfactory stimuli are represented in a highdimensional space by neural networks of the olfactory system. A great deal of research in olfaction has focused on this representation within the first processing stage, the olfactory bulb (vertebrates) or ...
Beyeler, Michael, Galizia, G, Fabio Stefanini, Henning Proske, Beyeler, M., Chicca, Elisabetta, Proske, H., Giovanni Galizia, Beyeler, M, Michael Beyeler, Chicca, E, Galizia, C. Giovanni, Stefanini, F., Proske, Henning, Proske, H, Elisabetta Chicca, Galizia, G., Stefanini, Fabio, Chicca, Elisabetta ; https://orcid.org/, Stefanini, F   +19 more
core   +1 more source

Neuromorphic liquids, colloids, and gels: a review [PDF]

, 2022
Advances in flexible electronic devices and robotic software require that sensors and controllers be virtually devoid of traditional electronic components, be deformable and stretch resistant.
Alessandro, Chiolerio, Noushin, Raeisi Kheirabadi, Konrad, Szacilowski, Andrew, Adamatzky   +3 more
core   +1 more source

Dimensions of Timescales in Neuromorphic Computing Systems

CoRR, 2021
This article is a public deliverable of the EU project "Memory technologies with multi-scale time constants for neuromorphic architectures" (MeMScales, https://memscales.eu, Call ICT-06-2019 Unconventional Nanoelectronics, project number 871371). This arXiv version is a verbatim copy of the deliverable report, with administrative information stripped ...
Jaeger, Herbert, Doorakkers, Dirk, Lawrence, Celestine, Indiveri, Giacomo   +3 more
openaire   +4 more sources

Integrated Low-Voltage Compliance and Wide-Dynamic Stimulator Design for Neural Implantable Devices

Sensors, 2023
In this study, a pulse frequency modulation (PFM)-based stimulator is proposed for use in biomedical implantable devices. Conventionally, functional electrical stimulation (FES) techniques have been used to reinforce damaged nerves, such as retina tissue
Yeonji Oh, Jonggi Hong, Jungsuk Kim
doaj   +1 more source

Multilayer Crossbar Array of Amorphous Metal-Oxide Semiconductor Thin Films for Neuromorphic Systems

IEEE Journal of the Electron Devices Society, 2022
A multilayer crossbar array has been developed using amorphous metal-oxide semiconductor (AOS) thin films and implemented into a neuromorphic system.
Etsuko Iwagi, Takumi Tsuno, Takahito Imai, Yasuhiko Nakashima, Mutsumi Kimura   +4 more
doaj   +1 more source

Systematic construction of finite state automata using VLSI spiking neurons [PDF]

, 2012
Spiking neural networks implemented using electronic Very Large Scale Integration (VLSI) circuits are promising information processing architectures for carrying out complex cognitive tasks in real-world applications.
Neftci, Emre, Emre Neftci, Chicca, Elisabetta, Lepora, Nathan F., Rodney Douglas, Prescott, Tony J., Giacomo Indiveri, Verschure, Paul F. M. J., Jonathan Binas, Elisabetta Chicca, Binas, Jonathan, Indiveri, Giacomo, Mura, Anna, Chicca, Elisabetta ; https://orcid.org/, Douglas, Rodney   +14 more
core   +1 more source

An On-chip Spiking Neural Network for Estimation of the Head Pose of the iCub Robot

Frontiers in Neuroscience, 2020
In this work, we present a neuromorphic architecture for head pose estimation and scene representation for the humanoid iCub robot. The spiking neuronal network is fully realized in Intel's neuromorphic research chip, Loihi, and precisely integrates the ...
Raphaela Kreiser, Alpha Renner, Vanessa R. C. Leite, Baris Serhan, Chiara Bartolozzi, Arren Glover, Yulia Sandamirskaya   +6 more
doaj   +1 more source

On the Design of a Fault-Tolerant Scalable Three Dimensional NoC-Based Digital Neuromorphic System With On-Chip Learning

IEEE Access, 2021
Neuromorphic systems have shown improvements over the years, leveraging Spiking neural networks (SNN) event-driven nature to demonstrate low power consumption.
Ogbodo Mark Ikechukwu, Khanh N. Dang, Abderazek Ben Abdallah   +2 more
doaj   +1 more source

Memory and Information Processing in Neuromorphic Systems [PDF]

Proceedings of the IEEE, 2015
Submitted to Proceedings of IEEE, review of recently proposed neuromorphic computing platforms and ...
Giacomo Indiveri, Shih-Chii Liu
openaire   +4 more sources

Ultra robust negative differential resistance memristor for hardware neuron circuit implementation

Nature Communications
Neuromorphic computing holds immense promise for developing highly efficient computational approaches. Memristor-based artificial neurons, known for due to their straightforward structure, high energy efficiency, and superior scalability, which enable ...
Yifei Pei, Biao Yang, Xumeng Zhang, Hui He, Yong Sun, Jianhui Zhao, Pei Chen, Zhanfeng Wang, Niefeng Sun, Shixiong Liang, Guodong Gu, Qi Liu, Shushen Li, Xiaobing Yan   +13 more
doaj   +1 more source