analog-digital computer - PMC

Clément Farabet, Rafael Paz, Jose Pérez-Carrasco, Carlos Zamarreño-Ramos, Alejandro Linares-Barranco, Yann LeCun, Eugenio Culurciello, Teresa Serrano-Gotarredona, Bernabe Linares-Barranco

Front Neurosci. 2012; 6: 32. Published online 2012 Apr 10. doi: 10.3389/fnins.2012.00032

PMCID:: PMC3324817

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Affordance in Socio-Material Networks: A Mixed Method Study of Researchers' Groups and Analog-Digital Objects

Simone Belli

Front Psychol. 2021; 12: 672155. Published online 2021 Aug 3. doi: 10.3389/fpsyg.2021.672155

PMCID:: PMC8368432

Article PDF–988K

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The History of the Data Systems AutoChemist® (ACH) and AutoChemist-PRISMA (PRISMA®): from 1964 to 1986

L. Ohlsén, I. Jungner, H. E. Peterson

Yearb Med Inform. 2014; 9(1): 244–254. Published online 2014 May 22. doi: 10.15265/IY-2014-0029

PMCID:: PMC4287085

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Generalized reconfigurable memristive dynamical system (MDS) for neuromorphic applications

Mohammad Bavandpour, Hamid Soleimani, Bernabé Linares-Barranco, Derek Abbott, Leon O. Chua

Front Neurosci. 2015; 9: 409. Published online 2015 Nov 3. doi: 10.3389/fnins.2015.00409

PMCID:: PMC4630313

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Robustness of spiking Deep Belief Networks to noise and reduced bit precision of neuro-inspired hardware platforms

Evangelos Stromatias, Daniel Neil, Michael Pfeiffer, Francesco Galluppi, Steve B. Furber, Shih-Chii Liu

Front Neurosci. 2015; 9: 222. Published online 2015 Jul 9. doi: 10.3389/fnins.2015.00222

PMCID:: PMC4496577

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Organizing Sequential Memory in a Neuromorphic Device Using Dynamic Neural Fields

Raphaela Kreiser, Dora Aathmani, Ning Qiao, Giacomo Indiveri, Yulia Sandamirskaya

Front Neurosci. 2018; 12: 717. Published online 2018 Nov 13. doi: 10.3389/fnins.2018.00717

PMCID:: PMC6262404

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New approach to heart sound screening in children by analog-digital circuitry.

R. E. Durnin, H. F. Glassner, C. O. Jorgensen, D. C. Fyler

Public Health Rep (1896) 1965 Sep; 80(9): 761–770.

PMCID:: PMC1919630

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Eye Movement Signal Classification for Developing Human-Computer Interface Using Electrooculogram

M. Thilagaraj, B. Dwarakanath, S. Ramkumar, K. Karthikeyan, A. Prabhu, Gurusamy Saravanakumar, M. Pallikonda Rajasekaran, N. Arunkumar

J Healthc Eng. 2021; 2021: 7901310. Published online 2021 Dec 8. doi: 10.1155/2021/7901310

PMCID:: PMC8674061

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A Configurable and Fully Synthesizable RTL-Based Convolutional Neural Network for Biosensor Applications

Pervesh Kumar, Huo Yingge, Imran Ali, Young-Gun Pu, Keum-Cheol Hwang, Youngoo Yang, Yeon-Jae Jung, Hyung-Ki Huh, Seok-Kee Kim, Joon-Mo Yoo, Kang-Yoon Lee

Sensors (Basel) 2022 Apr; 22(7): 2459. Published online 2022 Mar 23. doi: 10.3390/s22072459

PMCID:: PMC9002386

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Historical Roots of International Biomedical and Health Informatics: The Road to IFIP-TC4 and IMIA through Cybernetic Medicine and the Elsinore Meetings

C. A. Kulikowski

Yearb Med Inform. 2017 Aug; 26(1): 257–262. Published online 2017 Sep 11. doi: 10.15265/IY-2017-001

PMCID:: PMC6239242

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Photocurrent Measurement of PC and PV HgCdTe Detectors

George P. Eppeldauer, Robert J. Martin

J Res Natl Inst Stand Technol. 2001 May-Jun; 106(3): 577–587. Published online 2001 Jun 1. doi: 10.6028/jres.106.024

PMCID:: PMC4863836

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A Control and Detecting System of Micro-Near-Infrared Spectrometer Based on a MOEMS Scanning Grating Mirror

Haitao Liu, Zhiyu Wen, Dongling Li, Jian Huang, Ying Zhou, Pengfei Guo

Micromachines (Basel) 2018 Apr; 9(4): 152. Published online 2018 Mar 27. doi: 10.3390/mi9040152

PMCID:: PMC6187684

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Digital Health Promotion and Prevention in Settings: Scoping Review

Anna Lea Stark, Cornelia Geukes, Christoph Dockweiler

J Med Internet Res. 2022 Jan; 24(1): e21063. Published online 2022 Jan 28. doi: 10.2196/21063

PMCID:: PMC8838600

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Battery-free, stretchable optoelectronic systems for wireless optical characterization of the skin

Jeonghyun Kim, Giovanni A. Salvatore, Hitoshi Araki, Antonio M. Chiarelli, Zhaoqian Xie, Anthony Banks, Xing Sheng, Yuhao Liu, Jung Woo Lee, Kyung-In Jang, Seung Yun Heo, Kyoungyeon Cho, Hongying Luo, Benjamin Zimmerman, Joonhee Kim, Lingqing Yan, Xue Feng, Sheng Xu, Monica Fabiani, Gabriele Gratton, Yonggang Huang, Ungyu Paik, John A. Rogers

Sci Adv. 2016 Aug; 2(8): e1600418. Published online 2016 Aug 3. doi: 10.1126/sciadv.1600418

PMCID:: PMC4972468

Article PDF–8.6M

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Toward memristive in-memory computing: principles and applications

Han Bao, Houji Zhou, Jiancong Li, Huaizhi Pei, Jing Tian, Ling Yang, Shengguang Ren, Shaoqin Tong, Yi Li, Yuhui He, Jia Chen, Yimao Cai, Huaqiang Wu, Qi Liu, Qing Wan, Xiangshui Miao

Front Optoelectron. 2022 Dec; 15(1): 23. Published online 2022 May 12. doi: 10.1007/s12200-022-00025-4

PMCID:: PMC9756267

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Canonical circuit computations for computer vision

Daniel Schmid, Christian Jarvers, Heiko Neumann

Biol Cybern. 2023; 117(4-5): 299–329. Published online 2023 Jun 12. doi: 10.1007/s00422-023-00966-9

PMCID:: PMC10600314

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PMC Images search for analog-digital computer

Figure 7

Time chart of the real-time display system. Each line shows the responsibilities of each process, executed in parallel. (a) Shows a time chart using the embedded CPU alone and desktop CPU. (b) Shows a time chart using the dedicated computer. The embedded CPU alone and desktop CPU perform processing to receive and transmit from the analog-digital converter because the analog-digital converter is controlled by the CPU. Thus, the embedded CPU alone and desktop CPU cannot perform analog-digital conversion constantly. In the embedded CPU alone, the reconstruction calculation takes a long time for encoding by patterns. In the desktop CPU, the reconstruction calculation time is short enough for the time of encoding by patterns. In contrast, the dedicated computer does not have such the time-consuming processing because the FPGA part receives a value of analog-digital conversion directly. Consequently, this allows the dedicated computer to perform analog-digital conversion constantly, thereby reducing the reconstruction calculation time.

Real-time single-pixel imaging using a system on a chip field-programmable gate array

Sci Rep. 2022;12:14097.
Figure 1

The Moore computer lab and personnel using the hybrid computer system. Foreground to background: the DEC PDP15, the analog–digital interface, and the analog computer. A LINC-8 computer is at the back.

A Personal View of the Early Development of Computational Neuroscience in the USA

Front Comput Neurosci. 2010;4:20.
Fig 1Load cell tension and compression, analog-digital converter and computer.

The level of performance stabilization influences motor adaptation on an isometric force control task

PLoS One. 2017;12(10):e0185939.
Figure 4

Scheme of the experimental setup. Laser: radiation source; PD: photodiode; ADC: analog-digital converter (L-Card Е20-10); PC: personal computer.

Study of Intra-Chamber Processes in Solid Rocket Motors by Fiber Optic Sensors

Sensors (Basel). 2021 Dec;21(23):7836.