Alok Joshi

Dr

  • Phone+442871675127
  • Northlands Road, Magee Campus

    BT48 7JL Londonderry

    United Kingdom

  • 49 Citations
  • 4 h-Index
20112020

Research output per year

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Personal profile

Biography

Dr. Alok Joshi is a Research Associate in Computational Neuroscience in the School of Computing and Intelligent Systems, Faculty of Computing and Engineering, Ulster University. Prior to this position, he was a research associate in the School of Computer Science, the University of Manchester, and was a part of the Advanced Processor Technologies Research Group led by Professor Steve Furber. Before joining this group, he worked as a research associate in the Faculty of Life Sciences, University of Manchester and was a part of the collaborative, multidisciplinary Human Frontier Science Program project. He completed his Ph.D. in Computer Science (with the specialisation in Computational Neuroscience) from the Ulster University, Northern Ireland, UK.

Dr. Joshi's research interests involve the analysis and interpretation of complex biological data, development of computational modelling approaches to improve our understanding of brain functions, and links to physiology and behaviour, data science, and biologically inspired artificial intelligence. He is an invited reviewer for several peer-reviewed journals and is a member of The Institute of Electrical and Electronics Engineers (IEEE) and the British Neuroscience Association (BNA). 

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Research Output

Computational Neurology: Computational Modeling Approaches in Dementia

Wong-Lin, K., Sanchez Bornot, J., McCombe, N., Kaur, D., McClean, P., Zou, X., Youssofzadeh, V., Ding, X., Bucholc, M., Yang, S., Prasad, G., Coyle, D., Maguire, L., Wang, H. . HY., Wang, H., Atiya, N. & Joshi, A., 24 Aug 2020, Systems Medicine: Integrative, Qualitative and Computational Approaches. Wolkenhauer, O. (ed.). 1 ed. Elsevier Inc., Vol. 2. p. 81-89 9 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Open Access
  • Genetic algorithmic parameter optimisation of a recurrent spiking neural network model

    Ezenwe, I., Joshi, A. & Wong-Lin, K., 31 Aug 2020, p. 1-6. 6 p.

    Research output: Contribution to conferencePaper

    Open Access
    File
  • 1 Downloads (Pure)

    Long- and short-range connectivity and neuronal types affect prefrontal dorsal raphe circuit dynamics differently

    Joshi, A., Rhodes, O., Sharp, T., Furber, S. & Wong-Lin, K., 30 Mar 2020.

    Research output: Contribution to conferenceAbstract

    Open Access
    File
  • 7 Downloads (Pure)
    Open Access
    File
  • 1 Citation (Scopus)

    Revealing the dynamic relationship between neural population activities in corticoraphe system

    Behera, C., O’Sullivan, R., Sanchez-Bornot, J., Joshi, A., Prasad, G., Sharp, T. & Wong-Lin, K., 31 Aug 2020, p. 1-6. 6 p.

    Research output: Contribution to conferencePaper

    Open Access
    File
  • 1 Downloads (Pure)