Results 41 to 50 of about 19,662,716 (202)

Topological Properties of Neuromorphic Nanowire Networks

Frontiers in Neuroscience, 2020
Graph theory has been extensively applied to the topological mapping of complex networks, ranging from social networks to biological systems. Graph theory has increasingly been applied to neuroscience as a method to explore the fundamental structural and
Alon Loeffler, Ruomin Zhu, Joel Hochstetter, Mike Li, Kaiwei Fu, Adrian Diaz-Alvarez, Tomonobu Nakayama, James M. Shine, Zdenka Kuncic   +8 more
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NEUROTECH - A European Community of Experts on Neuromorphic Technologies [PDF]

, 2021
Neuromorphic Computing Technology (NCT) is becoming a reality in Europe thanks to a coordinated effort to unite the EU researchers and stakeholders interested in neuroscience, artificial intelligence, and nanoscale ...
Donati, Elisa; https://orcid.org/, Payvand, Melika, Indiveri, Giacomo; id_orcid, Indiveri, Giacomo; https://orcid.org/, Payvand, Melika; https://orcid.org/, Donati, Elisa   +5 more
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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

Toward a Neuromorphic Microphone [PDF]

, 2015
Neuromorphic systems are used in variety of circumstances: as parts of sensory systems, for modeling parts of neural systems and for analog signal processing.
Smith, Leslie, Leslie S. Smith, Leslie Samuel Smith   +2 more
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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

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
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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   +5 more sources

A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory [PDF]

, 2003
Chicca E, Badoni D, Dante V, et al. A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory. IEEE Transactions on Neural Networks.
Fusi, S., Salina, G., Carota, L., Badoni, D., Del Giudice, P., D'Andreagiovanni, M., Dante, V., Chicca, Elisabetta ; https://orcid.org/   +7 more
core   +1 more source

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