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    Wyświetlanie 1-3 z 3
    Tytuł:
    Why is neuron modeling of particular philosophical interest?
    Autorzy:
    Polak, Paweł
    Powiązania:
    https://bibliotekanauki.pl/articles/28763400.pdf
    Data publikacji:
    2022
    Wydawca:
    Copernicus Center Press
    Tematy:
    neuron modeling
    sub-neuron modeling
    computational modeling
    analog computation
    philosophy in science
    philosophy of biology
    philosophy of computing
    Opis:
    This review article discusses Andrzej Bielecki’s book Models of Neurons and Perceptrons: Selected Problems and Challenges, as published by Springer International Publishing. This work exemplifies “philosophy in science” by adopting a broad, multidisciplinary perspective for the issues related to the simulation of neurons and neural networks, and the author has addressed many of the important philosophical assumptions that are entangled in this area of modeling. Bielecki also raises several important methodological issues about modeling. This book is recommended for any philosophers who wish to learn more about the current state of neural modeling and find inspiration for a deeper philosophical reflection on the subject.
    Źródło:
    Zagadnienia Filozoficzne w Nauce; 2022, 73; 347-356
    0867-8286
    2451-0602
    Pojawia się w:
    Zagadnienia Filozoficzne w Nauce
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    O różnych sposobach rozumienia analogowości w informatyce
    Autorzy:
    Stacewicz, Paweł
    Powiązania:
    https://bibliotekanauki.pl/articles/429157.pdf
    Data publikacji:
    2017
    Wydawca:
    Uniwersytet Papieski Jana Pawła II w Krakowie
    Tematy:
    continuous computations
    analog computations
    analogicity
    GPAC model
    Turing machine
    natural computing
    hypercomputations
    computability
    Opis:
    Two different types of analog computations are discussed in the paper: 1)analog-continuous computations (performed physically upon continuous signals),2) analog-analogical computations (performed naturally by means of socalled natural analogons of mathematical operations). They are analyzed withregard to such questions like: a) are continuous computations physically implementable?b) what is the actual computational power of different analogtechniques? c) can natural (empirical) computations be such reliable as digital?d) is it possible to develop universal analog computers (assuming that theyshould be functionally similar to universal Turing machine)? Presented analysesare rather methodological than formal.
    Źródło:
    Semina Scientiarum; 2017, 16
    1644-3365
    Pojawia się w:
    Semina Scientiarum
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Neuromorphic approach for breathing rate monitoring using data produced by FMCW radar
    Autorzy:
    Ślot, Krzysztof
    Łuczak, Piotr
    Hausman, Sławomir
    Powiązania:
    https://bibliotekanauki.pl/articles/2173715.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    neuromorphic architectures
    analog computing
    FMCW radar
    vital parameter estimation
    architektura neuromorficzna
    obliczenia analogowe
    radar FMCW
    ocena parametrów życiowych
    Opis:
    The paper introduces a neuromorphic computational approach for breathing rate monitoring of a single person observed using a Frequency-Modulated Continuous Wave radar. The architecture, aimed at implementation in analog hardware to ensure high energy efficiency and to provide system operation longevity, comprises two main functional modules. The first one is a data preprocessing unit aimed at the extraction of information relevant to the analysis objective, whereas the second one is a pre-trained recurrent neural regressor, which analyzes sequences of incoming samples and estimates the breathing rate. To ensure compatibility with neural processing and to achieve simplicity of underlying resources, several solutions were proposed for the data preprocessing module, which provides range-wise space segmentation, selection of a bin of interest (comprising the dominant motion activity), and delivery of data to regressor inputs. To implement these functions, we introduce an appropriate chirp frequency modulation scheme, apply a neuromorphic filtering procedure and use a Winner-Takes-All network for extracting information from the bin of interest. The architecture has been experimentally verified using a dataset of indoor recordings supplied with reference data from a Zephyr BioHarness device. We show that the proposed architecture is capable of making correct breathing rate estimates while being feasible for analog implementation. The mean squared regression error with respect to the Zephyr-produced reference values is approximately 3.3 breaths per minute (with a deviation of ±0:27 in the 95% confidence interval) and the estimates are produced by a recurrent, GRU-based neural regressor, with a total of only 147 parameters.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 6; art. no. e143552
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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