Results 41 to 50 of about 85,686 (325)

Optical Bio-Inspired Synaptic Devices

Nanomaterials
The traditional computer with von Neumann architecture has the characteristics of separate storage and computing units, which leads to sizeable time and energy consumption in the process of data transmission, which is also the famous “von Neumann storage wall” problem.
Pengcheng Li, Kesheng Wang, Shanshan Jiang, Gang He, Hainan Zhang, Shuo Cheng, Qingxuan Li, Yixin Zhu, Can Fu, Huanhuan Wei, Bo He, Yujiao Li   +11 more
openaire   +3 more sources

Studies on the fabrication and performance of artificial optical synaptic transistor based on 2D perovskite ferroelectrics

Gongneng cailiao yu qijian xuebao
By simulating the synaptic plasticity of biological nervous systems, neuromorphic computing provides a new idea for building intelligent sensing systems with low power consumption and high fault tolerance.
Peng ZHANG, Geng-xu CHEN
doaj   +1 more source

Perovskite photoelectric memristors with biological synaptic properties for neuromorphic computing

Advanced Sensor and Energy Materials
The “Von Neumann bottleneck” of traditional computing architecture limits the speed of information processing and the physical size limit indicates the end of “More's Law”.
Dong-Liang Li, Jia-Ying Chen, Yang Xiao, Wen-Min Zhong, Yan-Ping Jiang, Qiu-Xiang Liu, Xin-Gui Tang   +6 more
doaj   +1 more source

Exploiting Device Mismatch in Neuromorphic VLSI Systems to Implement Axonal Delays [PDF]

, 2012
Sheik S, Chicca E, Indiveri G. Exploiting Device Mismatch in Neuromorphic VLSI Systems to Implement Axonal Delays. Presented at the International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia.Axonal delays are used in neural ...
Chicca, Elisabetta , Indiveri, G., Sheik, S.   +2 more
core   +4 more sources

A neuromorphic systems approach to in-memory computing with non-ideal memristive devices: From mitigation to exploitation

, 2018
Memristive devices represent a promising technology for building neuromorphic electronic systems. In addition to their compactness and non-volatility features, they are characterized by computationally relevant physical properties, such as state ...
Indiveri, Giacomo, Muller, Lorenz K., Nair, Manu V, Payvand, Melika   +3 more
core   +1 more source

Synaptic metaplasticity with multi-level memristive devices

2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2023
Deep learning has made remarkable progress in various tasks, surpassing human performance in some cases. However, one drawback of neural networks is catastrophic forgetting, where a network trained on one task forgets the solution when learning a new one.
D’Agostino, S, Moro, F, Hirtzlin, T, Arcamone, J, Castellani, N, Querlioz, D, Payvand, Melika, Vianello, Elisa   +7 more
openaire   +3 more sources

Highly Scalable Neuromorphic Hardware with 1-bit Stochastic nano-Synapses

, 2013
Thermodynamic-driven filament formation in redox-based resistive memory and the impact of thermal fluctuations on switching probability of emerging magnetic switches are probabilistic phenomena in nature, and thus, processes of binary switching in these ...
Kavehei, Omid, Skafidas, Efstratios
core   +1 more source

Dynamic clamp with StdpC software [PDF]

, 2011
Dynamic clamp is a powerful method that allows the introduction of artificial electrical components into target cells to simulate ionic conductances and synaptic inputs.
A Szücs, A Szücs, A Szücs, A Szücs, AA Prinz, AA Sharp, AA Sharp, AD Dorval, AI Selverston, AJ Preyer, C Muñiz, C Muñiz, CJ Kros, DW Wheeler, Dávid Samu, EI Watanabe, G Berecki, György Kemenes, HDI Abarbanel, HP Robinson, HPC Robinson, Ildikó Kemenes, J-M Goaillard, JC Bettencourt, JP Horn, JS Rothman, K Staras, Kevin Staras, L Oltedal, LS Milescu, Michael Crossley, MN Economo, NS Desai, OP Hamill, P Chamorro, PHM Kullmann, R Bertram, R Brette, R Brette, R Wilders, R Wilders, RC Elson, RD Pinto, RJ Butera Jr., S Song, T Branco, T Nowotny, T Nowotny, TA Kinard, Thomas Nowotny, TI Netoff, Vincenzo Marra   +51 more
core   +1 more source

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein, Maximilian Mönch, Meret Herdick, Frauke Stascheit, Sarah Hoffmann, Hannah Preßler, Philipp Mergenthaler, Carla Dusemund, Paolo Doksani, Haoqi Sun, Pushpa Narayanaswami, Andreas Meisel, Lea Gerischer, Sophie Lehnerer   +13 more
wiley   +1 more source

GeNN: a code generation framework for accelerated brain simulations [PDF]

, 2015
Large-scale numerical simulations of detailed brain circuit models are important for identifying hypotheses on brain functions and testing their consistency and plausibility. An ongoing challenge for simulating realistic models is, however, computational
AJ Cope, C Rossant, DF Goodman, DF Goodman, E Ros, EM Izhikevich, EM Izhikevich, HÜ Dinkelbach, I Raikov, J Baladron, JM Nageswaran, MA Swertz, ML Hines, NF Rulkov, P Gleeson, R Brette, SC Eisenstat, T Nowotny, T Nowotny, VK Pallipuram   +19 more
core   +1 more source