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  1. Article ; Online: Modeling Post-Scratching Locomotion with Two Rhythm Generators and a Shared Pattern Formation

    Jesus A. Tapia / Argelia Reid / John Reid / Saul M. Dominguez-Nicolas / Elias Manjarrez

    Biology, Vol 10, Iss 663, p

    2021  Volume 663

    Abstract: This study aimed to present a model of post-scratching locomotion with two intermixed central pattern generator (CPG) networks, one for scratching and another for locomotion. We hypothesized that the rhythm generator layers for each CPG are different, ... ...

    Abstract This study aimed to present a model of post-scratching locomotion with two intermixed central pattern generator (CPG) networks, one for scratching and another for locomotion. We hypothesized that the rhythm generator layers for each CPG are different, with the condition that both CPGs share their supraspinal circuits and their motor outputs at the level of their pattern formation networks. We show that the model reproduces the post-scratching locomotion latency of 6.2 ± 3.5 s, and the mean cycle durations for scratching and post-scratching locomotion of 0.3 ± 0.09 s and 1.7 ± 0.6 s, respectively, which were observed in a previous experimental study. Our findings show how the transition of two rhythmic movements could be mediated by information exchanged between their CPG circuits through routes converging in a common pattern formation layer. This integrated organization may provide flexible and effective connectivity despite the rigidity of the anatomical connections in the spinal cord circuitry.
    Keywords mathematical model ; movement production ; movement sequence ; CPG ; central pattern generator ; locomotion ; Biology (General) ; QH301-705.5
    Subject code 612
    Language English
    Publishing date 2021-07-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Improved detection of magnetic signals by a MEMS sensor using stochastic resonance.

    Agustín L Herrera-May / Jesus A Tapia / Saúl M Domínguez-Nicolás / Raul Juarez-Aguirre / Edmundo A Gutierrez-D / Amira Flores / Eduard Figueras / Elias Manjarrez

    PLoS ONE, Vol 9, Iss 10, p e

    2014  Volume 109534

    Abstract: We introduce the behavior of the electrical output response of a magnetic field sensor based on microelectromechanical systems (MEMS) technology under different levels of controlled magnetic noise. We explored whether a particular level of magnetic noise ...

    Abstract We introduce the behavior of the electrical output response of a magnetic field sensor based on microelectromechanical systems (MEMS) technology under different levels of controlled magnetic noise. We explored whether a particular level of magnetic noise applied on the vicinity of the MEMS sensor can improve the detection of subthreshold magnetic fields. We examined the increase in the signal-to-noise ratio (SNR) of such detected magnetic fields as a function of the magnetic noise intensity. The data disclosed an inverted U-like graph between the SNR and the applied magnetic noise. This finding shows that the application of an intermediate level of noise in the environment of a MEMS magnetic field sensor improves its detection capability of subthreshold signals via the stochastic resonance phenomenon.
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2014-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Digital Signal Processing by Virtual Instrumentation of a MEMS Magnetic Field Sensor for Biomedical Applications

    Héctor Vázquez-Leal / Luz A. Aguilera-Cortés / Agustín L. Herrera-May / Eduard Figueras / Jesús A. Tapia / Saúl M. Domínguez-Nicolás / Elías Manjarrez / Raúl Juárez-Aguirre

    Sensors, Vol 13, Iss 11, Pp 15068-

    2013  Volume 15084

    Abstract: We present a signal processing system with virtual instrumentation of a MEMS sensor to detect magnetic flux density for biomedical applications. This system consists of a magnetic field sensor, electronic components implemented on a printed circuit board ...

    Abstract We present a signal processing system with virtual instrumentation of a MEMS sensor to detect magnetic flux density for biomedical applications. This system consists of a magnetic field sensor, electronic components implemented on a printed circuit board (PCB), a data acquisition (DAQ) card, and a virtual instrument. It allows the development of a semi-portable prototype with the capacity to filter small electromagnetic interference signals through digital signal processing. The virtual instrument includes an algorithm to implement different configurations of infinite impulse response (IIR) filters. The PCB contains a precision instrumentation amplifier, a demodulator, a low-pass filter (LPF) and a buffer with operational amplifier. The proposed prototype is used for real-time non-invasive monitoring of magnetic flux density in the thoracic cage of rats. The response of the rat respiratory magnetogram displays a similar behavior as the rat electromyogram (EMG).
    Keywords digital signal processing ; magnetic field sensor ; magnetogram ; MEMS ; silicon resonator ; virtual instrument ; Technology (General) ; T1-995 ; Technology ; T ; DOAJ:Technology (General) ; DOAJ:Technology and Engineering ; Analytical chemistry ; QD71-142 ; Chemistry ; QD1-999 ; Science ; Q ; DOAJ:Analytical Chemistry ; DOAJ:Chemistry
    Language English
    Publishing date 2013-11-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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