Results 111 to 120 of about 24,472 (312)

Introducing ‘Neuromorphic Computing and Engineering’

Neuromorphic Computing and Engineering, 2021
Abstract The standard nature of computing is currently being challenged by a range of problems that start to hinder technological progress. One of the strategies being proposed to address some of these problems is to develop novel brain-inspired processing methods and technologies, and apply them to a wide range of application ...
openaire   +2 more sources

Neuromorphic cytometry: implementation on cell counting and size estimation [PDF]

Imaging flow cytometry (FC) is a powerful analytic tool that combines the principles of conventional FC with rich spatial information, allowing more profound insight into single-cell analysis.
Eshraghian, JK, Xu, Z, Hamilton, TJ, Li, J, Nicholson, A, Essam, C, Vigolo, D, Yong, KT, Kavehei, O, McGuire, HM, Zhang, Z   +10 more
core   +1 more source

Room‐Temperature Skyrmionic Synapse in 2D Ferromagnet Fe3GaTe2 Operating via Collective Spin Texture Transformation

Advanced Materials, EarlyView.
We demonstrate a neuromorphic synapse in 2D Fe3GaTe2 flakes. The device operates via a current‐driven transformation from a skyrmion‐lattice to a stripe‐domain state, yielding a linear anomalous Hall resistance response with a tunable slope to enable multiply‐accumulate operations. Simulations confirm its viability in artificial neural networks.
Jixiang Huang, Tongji Zhu, PeiYu Cai, Xiaoming Ma, Zhen Wang, Ruifu Zhang, Yi Hao, Jingdi Lu, Liubing He, Jun Xu, Yuejie Zhang, Wanjun Jiang, Jing Tao, Shiming Lei, Pavel Parchinskiy, Jing Teng, Lingfei Wang, Wei Niu, Elton J.G. Santos, Xiaoqian Zhang, Peng Li   +20 more
wiley   +1 more source

Neuromorphic place cells

Neuromorphic Computing and Engineering
Abstract A neuromorphic simultaneous localization and mapping (SLAM) system shows potential for more efficient implementation than its traditional counterpart. At the mean time a neuromorphic model of spatial encoding neurons in silicon could provide insights on the functionality and dynamic between each group of cells.
Zhaoqi Chen, Alia Nasrallah, Ralph Etienne-Cummings   +2 more
openaire   +2 more sources

Self‐Powered Flexible Triboelectric‐Gated Ion‐Gel Transistor for Neuromorphic Tactile Sensing and Human Activity Recognition

Advanced Materials, EarlyView.
A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho, Seoyeon Park, Youngmin Lee, Sejoon Lee   +3 more
wiley   +1 more source

Optical linear systems framework for event sensing and computational neuromorphic imaging

Frontiers in Neuroscience
Event Vision Sensors, or neuromorphic cameras, report sparse, and asynchronous image change-related data and enable microsecond-scale sensing and high dynamic range, but challenge physics-based sensor design approaches.
Nimrod Kruger, Nicholas Owen Ralph, Gregory Cohen, Paul Hurley, Paul Hurley   +4 more
doaj   +1 more source

Thermodynamic Limits to Molecular Doping in Conjugated Polymers: A Perspective on Phase Behavior and Miscibility

Advanced Materials, EarlyView.
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani, Justin Neu, Sung‐Joo Kwon, Runqio Song, Zixuan Chen, Tajah Trapier, Paschalis Gkoupidenis, David Ginger, Wei You, Jasper J. Michels, Harald Ade   +10 more
wiley   +1 more source

2022 roadmap on neuromorphic computing and engineering

Modern computation based on von Neumann architecture is now a mature cutting-edge science. In the von Neumann architecture, processing and memory units are implemented as separate blocks interchanging data intensively and continuously. This data transfer
Bartolozzi, Chiara, Menzel, Stephan, Valentian, Alexandre, Markovic, Danijela, Le Gallo, Manuel, Thorpe, Simon, Redaelli, Andrea, Scherr, Franz, Christensen, Martin Ejsing, Dittmann, Regina, Liu, Shihchii, Li, Xuan, Milano, Gianluca, Panuccio, Gabriella, Sebastian, Abu, Bhaskaran, Harish, Mizrahi, Alice, Donati, Elisa, Spiga, Sabina, Liang, Shi-Jun, Pernice, Wolfram H. P., Neftci, Emre, Ramaswamy, Srikanth, Keene, Scott T., Posch, Christoph, Cleland, Thomas A., Tanaka, Gouhei, Slesazeck, Stefan, Indiveri, Giacomo, Tolu, Silvia, Yang, J. Joshua, Grollier, Julie, Panda, Priyadarshini, Furber, Steve, Holm, Sune, Maass, Wolfgang, Mahmud, Mufti, Tapson, Jonathan, Hosseini, Morteza, Christensen, Dennis, V, Galeazzi, Roberto, Feldmann, Johannes, Mohsenin, Tinoosh, Mazumder, Arnab Neelim, Salleo, Alberto, Yao, Peng, Kim, Youngeun, Datta, Suman, Lanza, Mario, Quill, Tyler J., Mikolajick, Thomas, Miao, Feng, Ielmini, Daniele, Pryds, N., Valov, Ilia, Ricciardi, Carlo, Vianello, Elisa, Strachan, John Paul, Linares-Barranco, Bernabe   +58 more
core   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Neuromorphic electronics for real-time biomedical image processing

, 2004
Published ...
Constandinou, TG, Toumazou, C
core