British Journal of Research Open Access

  • ISSN: 2394-3718
  • Journal h-index: 8
  • Journal CiteScore: 0.52
  • Journal Impact Factor: 0.45
  • Average acceptance to publication time (5-7 days)
  • Average article processing time (30-45 days) Less than 5 volumes 30 days
    8 - 9 volumes 40 days
    10 and more volumes 45 days
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Maria Riasat

Department of Computer Science, University of Lahore, Lahore, Pakistan

Publications
  • Review Article   
    Using Artificial Neural Networks to Test Systems Neuroscience Techniques
    Author(s): Maria Riasat*

    Neuroscientists explain part of the way recorded neural activity is generated by how neural circuits perform computational computations. In accordance with the fact that the development of the tools field is fully structured, we have empirical explanations to participate in influencing the immediate identification of phenomena. I now discuss how those tools can be absolutely examined and the way Artificial Neural Networks (ANNs) can test for them. The usage of ANNs as fashions for everything from memory to motor management arose from a few compromises between artificial and organic neural networks and the capacity of that network to learn how to solve hard excessive-dimensional duties. This ability, mixed with the potential to absolutely look at and manage those guidelines, makes it properly acceptable for the upkeep of structures and cognitive neuroscience tools. I offer a roadmap to.. View More»

    DOI: 10.21767/2394-3718-10.1.01

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