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361por Davison, Andrew P., Brüderle, Daniel, Eppler, Jochen, Kremkow, Jens, Muller, Eilif, Pecevski, Dejan, Perrinet, Laurent, Yger, Pierre“…PyNN is such an interface, making it possible to write a simulation script once, using the Python programming language, and run it without modification on any supported simulator (currently NEURON, NEST, PCSIM, Brian and the Heidelberg VLSI neuromorphic hardware). PyNN increases the productivity of neuronal network modelling by providing high-level abstraction, by promoting code sharing and reuse, and by providing a foundation for simulator-agnostic analysis, visualization and data-management tools. …”
Publicado 2009
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362por Viollet, Stéphane, Godiot, Stéphanie, Leitel, Robert, Buss, Wolfgang, Breugnon, Patrick, Menouni, Mohsine, Juston, Raphaël, Expert, Fabien, Colonnier, Fabien, L'Eplattenier, Géraud, Brückner, Andreas, Kraze, Felix, Mallot, Hanspeter, Franceschini, Nicolas, Pericet-Camara, Ramon, Ruffier, Franck, Floreano, Dario“…In particular, this paper details the innovative Very Large Scale Integration (VLSI) sensing layout, the accurate assembly fabrication process, the innovative, new fast read-out interface, as well as the auto-adaptive dynamic response of the CurvACE sensor. …”
Publicado 2014
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363“…The proposed linearity enhancement technique significantly improves temperature sensing accuracy, avoiding costly curvature compensation while it is fully synthesizable for future Very Large Scale Integration (VLSI) system.…”
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364por Kreiser, Raphaela, Aathmani, Dora, Qiao, Ning, Indiveri, Giacomo, Sandamirskaya, Yulia“…Neuromorphic Very Large Scale Integration (VLSI) devices emulate the activation dynamics of biological neuronal networks using either mixed-signal analog/digital or purely digital electronic circuits. …”
Publicado 2018
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365por Beck, Anthony, Obst, Franziska, Busek, Mathias, Grünzner, Stefan, Mehner, Philipp J., Paschew, Georgi, Appelhans, Dietmar, Voit, Brigitte, Richter, Andreas“…Here, we propose, compare, and discuss a cost-efficient do-it-yourself (DIY) photolithographic set-up suitable to micro-pattern hydrogel-layers with a resolution as needed for very large-scale integrated (VLSI) microfluidics. The achievable structure dimensions are in the lower micrometer scale, down to a feature size of 20 µm with aspect ratios of 1:5 and maximum integration densities of 20,000 hydrogel patterns per cm². …”
Publicado 2020
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366por Bhattacharjee, Mitradip, Timung, Seim, Mandal, Tapas Kumar, Bandyopadhyay, Dipankar“…Increase in the number of electrode pairs improved the voltage generation, which suggested that the MEH had potential for microscale-very-large-scale-integration (μ-VLSI). The combined effects of ECPV, LSPR, and SP in the MEH could show an efficiency ∼2.5%, which was one of the highest ones reported, for Schottky-junction energy harvesters. …”
Publicado 2018
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367por Micelli, A, Helle, K, Sandaker, H, Stugu, B, Barbero, M, Hugging, F, Karagounis, M, Kostyukhin, V, Kruger, H, Tsung, J W, Wermes, N, Capua, M, Fazio, S, Mastroberardino, A, Susinno, G, Gallrapp, C, Di Girolamo, B, Dobos, D, La Rosa, A, Pernegger, H, Roe, S, Slavicek, T, Pospisil, S, Jakobs, K, Kohler, M, Parzefall, U, Darbo, G, Gariano, G, Gemme, C, Rovani, A, Ruscino, E, Butter, C, Bates, R, Oshea, V, Parker, S, Cavalli-Sforza, M, Grinstein, S, Korokolov, I, Pradilla, C, Einsweiler, K, Garcia-Sciveres, M, Borri, M, Da Via, C, Freestone, J, Kolya, S, Lai, C H, Nellist, C, Pater, J, Thompson, R, Watts, S J, Hoeferkamp, M, Seidel, S, Bolle, E, Gjersdal, H, Sjobaek, K N, Stapnes, S, Rohne, O, Su, D, Young, C, Hansson, P, Grenier, P, Hasi, J, Kenney, C, Kocian, M, Jackson, P, Silverstein, D, Davetak, H, DeWilde, B, Tsybychev, D, Dalla Betta, G F, Gabos, P, Povoli, M, Cobal, M, Giordani, M P, Selmi, L, Cristofoli, A, Esseni, D, Palestri, P, Fleta, C, Lozano, M, Pellegrini, G, Boscardin, M, Bagolini, A, Piemonte, C, Ronchin, S, Zorzi, N, Hansen, T E, Hansen, T, Kok, A, Lietaer, N, Kalliopuska, J, Oja, A“…To cope with the high level of radiation produced during the collider operation, it is planned to add to the present three layers of silicon pixel sensors which constitute the Pixel Detector, an additional layer (Insertable B-Layer, or IBL) of sensors. 3D silicon sensors are one of the technologies which are under study for the IBL. 3D silicon technology is an innovative combination of very-large-scale integration (VLSI) and Micro-Electro-Mechanical-Systems (MEMS) where electrodes are fabricated inside the silicon bulk instead of being implanted on the wafer surfaces. 3D sensors, with electrodes fully or partially penetrating the silicon substrate, are currently fabricated at different processing facilities in Europe and USA. …”
Publicado 2010
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368por Annovi, A“…Andreani et al., The Fast Tracker Real Time Processor and Its Impact on Muon Isolation, Tau and b-Jet Online Selections at ATLAS, Conference Record 17th IEEE NPSS Real Time Conference Record of the 17th Real Time Conference, Lisbon, Portugal, 24 - 28 May 2010. [2] A. Annovi et al., A VLSI Processor for Fast Track Finding Based on Content Addressable Memories, IEEE Trans. …”
Publicado 2011
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369por Bhattacharya, Indrani, Chakrabarti, Satyajit, Reehal, Haricharan, Lakshminarayanan, Vasudevan“…Radiation Theory and Antenna; Cryptography; Quantum and Non-Linear Optics, Opto-Electronic Devices; Non-Linear Waveguides; Micro-Electronics and VLSI; Interdisciplinary.…”
Publicado 2017
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370por Bellazzini, R, Spandre, G, Minuti, M, Baldini, L, Brez, A, Cavalca, F, Latronico, L, Omodei, N, Massai, M M, Sgro, C, Costa, E, Krummenacher, P S F, De Oliveira, R“…Each pixel is directly connected to the underneath full electronics chain which has been realized in the remaining five metal and two poly-silicon layers of a 0.18 micron VLSI technology. The chip has customizable self-triggering capability and includes a signal pre-processing function for the automatic localization of the event coordinates. …”
Publicado 2006
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371“…The proposed design was successfully tested with a FPGA verification board. The VLSI architecture of this work contains 7.67-K gate counts and consumes the power of 5.8 mW or 1.9 mW at 100 MHz or 133 MHz processing rate using a TSMC 0.18 μm or 0.13 μm CMOS process. …”
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372por Qiao, Ning, Mostafa, Hesham, Corradi, Federico, Osswald, Marc, Stefanini, Fabio, Sumislawska, Dora, Indiveri, Giacomo“…In this paper we present a full-custom mixed-signal VLSI device with neuromorphic learning circuits that emulate the biophysics of real spiking neurons and dynamic synapses for exploring the properties of computational neuroscience models and for building brain-inspired computing systems. …”
Publicado 2015
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373por Stromatias, Evangelos, Neil, Daniel, Pfeiffer, Michael, Galluppi, Francesco, Furber, Steve B., Liu, Shih-Chii“…In particular, the influence of limited bit precision during execution and training, and the impact of silicon mismatch in the synaptic weight parameters of custom hybrid VLSI implementations is studied. Furthermore, the network performance of spiking DBNs is characterized with regard to noise in the spiking input signal. …”
Publicado 2015
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374por Yang, Chen, Li, Bingyi, Chen, Liang, Wei, Chunpeng, Xie, Yizhuang, Chen, He, Yu, Wenyue“…With the development of satellite load technology and very large scale integrated (VLSI) circuit technology, onboard real-time synthetic aperture radar (SAR) imaging systems have become a solution for allowing rapid response to disasters. …”
Publicado 2017
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375por Dutta, Sangya, Kumar, Vinay, Shukla, Aditya, Mohapatra, Nihar R., Ganguly, Udayan“…Overall, conventional PD-SOI-CMOS technology enables very-large-scale-integration (VLSI) which is essential for biology scale (~10(11) neuron based) large neural networks.…”
Publicado 2017
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376por Li, Bingyi, Shi, Hao, Chen, Liang, Yu, Wenyue, Yang, Chen, Xie, Yizhuang, Bian, Mingming, Zhang, Qingjun, Pang, Long“…With the development of satellite load technology and very large-scale integrated (VLSI) circuit technology, on-board real-time synthetic aperture radar (SAR) imaging systems have facilitated rapid response to disasters. …”
Publicado 2018
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377“…Particularly, the use of memristive devices in VLSI analogue concepts provides a promising pathway to realize novel bio-inspired computing architectures, which are able to unravel the foreseen difficulties of traditional electronics. …”
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378“…The proposed design principles are essential for design and implementation of very-large-scale-integration (VLSI) systems that provide high performance operation with low power consumption.…”
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379por Ramos-Ramón, Jesús A., Bogireddy, Naveen K. R., Giles Vieyra, Jorge Arturo, Karthik, Tangirala V. K., Agarwal, Vivechana“…A significant increase in the sensing response (~24%) at low operating temperature (100°C) opens the possibility of developing very large-scale integrable (VLSI), low operational cost gas sensors with easy fabrication methods and low-cost materials.…”
Publicado 2020
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380por Wang, Yan, Gong, Yue, Huang, Shenming, Xing, Xuechao, Lv, Ziyu, Wang, Junjie, Yang, Jia-Qin, Zhang, Guohua, Zhou, Ye, Han, Su-Ting“…Vision chips inspired by the LGMD have been successfully implemented in very-large-scale-integration (VLSI) system. However, transistor-based chips and single devices to simulate LGMD neurons make them bulky, energy-inefficient and complicated. …”
Publicado 2021
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