matlab-based data acquisition (daq) Search Results


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MathWorks Inc matlab-based data acquisition (daq)
Matlab Based Data Acquisition (Daq), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc matlab daq toolbox
Analog input recordings <t>with</t> <t>MATLAB</t> <t>DAQ</t> Toolbox and NIMH DAQ Toolbox. The input signal was a 20-Hz sine wave and the sampling rate was 1 kHz. A. Due to the delay in sample transfers, MATLAB DAQ can check new samples only at a rate of ~67 Hz during the logging-mode recordings, which results in aliasing (see the main text). The buffer size was adjusted so that the sample transfers could occur as frequently as possible. B. NIMH DAQ Toolbox retrieves new samples at any time requested even in the logging mode and shows no aliasing. C. The number of available samples increases by 1 every millisecond in NIMH DAQ Toolbox, whereas it increases by 15 every 15 milliseconds in MATLAB DAQ Toolbox. D. The temporal cost of checking the current input state as a function of the number of channels.
Matlab Daq Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/matlab daq toolbox/product/MathWorks Inc
Average 94 stars, based on 1 article reviews
matlab daq toolbox - by Bioz Stars, 2026-04
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MathWorks Inc 7 daq toolbox
Analog input recordings <t>with</t> <t>MATLAB</t> <t>DAQ</t> Toolbox and NIMH DAQ Toolbox. The input signal was a 20-Hz sine wave and the sampling rate was 1 kHz. A. Due to the delay in sample transfers, MATLAB DAQ can check new samples only at a rate of ~67 Hz during the logging-mode recordings, which results in aliasing (see the main text). The buffer size was adjusted so that the sample transfers could occur as frequently as possible. B. NIMH DAQ Toolbox retrieves new samples at any time requested even in the logging mode and shows no aliasing. C. The number of available samples increases by 1 every millisecond in NIMH DAQ Toolbox, whereas it increases by 15 every 15 milliseconds in MATLAB DAQ Toolbox. D. The temporal cost of checking the current input state as a function of the number of channels.
7 Daq Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/7 daq toolbox/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
7 daq toolbox - by Bioz Stars, 2026-04
90/100 stars
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Analog input recordings with MATLAB DAQ Toolbox and NIMH DAQ Toolbox. The input signal was a 20-Hz sine wave and the sampling rate was 1 kHz. A. Due to the delay in sample transfers, MATLAB DAQ can check new samples only at a rate of ~67 Hz during the logging-mode recordings, which results in aliasing (see the main text). The buffer size was adjusted so that the sample transfers could occur as frequently as possible. B. NIMH DAQ Toolbox retrieves new samples at any time requested even in the logging mode and shows no aliasing. C. The number of available samples increases by 1 every millisecond in NIMH DAQ Toolbox, whereas it increases by 15 every 15 milliseconds in MATLAB DAQ Toolbox. D. The temporal cost of checking the current input state as a function of the number of channels.

Journal: Journal of neuroscience methods

Article Title: NIMH MonkeyLogic: Behavioral control and data acquisition in MATLAB

doi: 10.1016/j.jneumeth.2019.05.002

Figure Lengend Snippet: Analog input recordings with MATLAB DAQ Toolbox and NIMH DAQ Toolbox. The input signal was a 20-Hz sine wave and the sampling rate was 1 kHz. A. Due to the delay in sample transfers, MATLAB DAQ can check new samples only at a rate of ~67 Hz during the logging-mode recordings, which results in aliasing (see the main text). The buffer size was adjusted so that the sample transfers could occur as frequently as possible. B. NIMH DAQ Toolbox retrieves new samples at any time requested even in the logging mode and shows no aliasing. C. The number of available samples increases by 1 every millisecond in NIMH DAQ Toolbox, whereas it increases by 15 every 15 milliseconds in MATLAB DAQ Toolbox. D. The temporal cost of checking the current input state as a function of the number of channels.

Article Snippet: ML1 and other MATLAB-based behavior control tools that depend on MATLAB DAQ Toolbox for data acquisition read from the memory buffer every ~15 ms in the logging mode, even though the DAQ device stacks new samples to the buffer at a much faster rate ( Asaad and Eskandar, 2008b ).

Techniques: Sampling