Browsing by Author "Yaqoob, Muhammad"

Now showing items 1-6 of 6

    • Autapses enable temporal pattern recognition in spiking neural networks 

      Yaqoob, Muhammad; Steuber, Volker; Wróbel, Borys (BioRxiv, 2023-11-17)
      Most sensory stimuli are temporal in structure. How action potentials encode the information incoming from sensory stimuli remains one of the central research questions in neuroscience. Although there is evidence that the ...

    • The Evolution, Analysis, and Design of Minimal Spiking Neural Networks for Temporal Pattern Recognition 

      Yaqoob, Muhammad (2023-04-28)
      All sensory stimuli are temporal in structure. How a pattern of action potentials encodes the information received from the sensory stimuli is an important research question in neurosciencce. Although it is clear that ...

    • Exploring Computer Science Students’ Perception of ChatGPT in Higher Education: A Descriptive and Correlation Study 

      Singh, Harpreet; Tayarani, Mohammad; Yaqoob, Muhammad (2023-09-11)
      ChatGPT is an emerging tool that can be employed in many activities including in learning/teaching in universities. Like many other tools, it has its benefits and its drawbacks. If used properly, it can improve learning, ...

    • The Importance of Self-excitation in Spiking Neural Networks Evolved to Recognize Temporal Patterns 

      Yaqoob, Muhammad; Steuber, Volker; Wróbel, Borys (Springer Nature, 2019-09-09)
      Biological and artificial spiking neural networks process information by changing their states in response to the temporal patterns of input and of the activity of the network itself. Here we analyse very small networks, ...

    • Proceedings of Abstracts, School of Physics, Engineering and Computer Science Research Conference 2022 

      Amafabia, Daerefa-a; Asimea, Laurel; Bally, John; Baran, Anthony; Boies, Adam; Borjali, Amirhossein; Bosomworth, Chloe; Burningham, Ben; Chaliasou, Napoleana-Anna; CHEN, Yong Kang; Cheong, Yuen Ki; Chizari, Mahmoud; Chung, Etelka; Coppin, Kristen; David-West, Opukuro; Dennler, Nik; Dhakal, Hom; Dimov, Nikolay; Dmitruk, Emil; Donald, Allen; Drix, Damien; Dzib, Sergio A.; Eltaweel, Mahmoud; Fadlelseed, Sajid; Farahani, Atena; Felix, Adrian; Foat, Tim; Forbrich, Jan; Franco, Maximilien; Gaarn, Joesphine; Garratt, Tracy; Geach, Jim; Ghias, Narges; Ghita, Adrian; Giannetti, Niccolo; Vargas-Gonzalez, Jaime; Greenaway, Richard; Haritos, George; Hatami, Sara; Haydock, David; Helian, Na; Herfatmanesh, Mohammad Reza; Herve, Jean-Baptiste; Hesse, Evelyn; Korani, Hossein; Hosseini, Vahid; Hu, Wei; Hubbard, Thomas; Inal, Jameel; Irigo, Patrick; Ismail, Sikiru O.; Jepleting, Fiona; Ji, Wei; Johnston, Ian; Jombo, Gbanaibolou; Kadir, Shabnam; Kalyvas, Christos; Kamran, Syed Muhammad; Kanellopoulos, Antonios; Kiflay, Aklil Zenebe; Kirner, Raimund; Knox, Kerry; Kobayashi, Chiaki; Kumar, Dhirendra; Kumar, Ritesh; Lane, Peter; Lekkala, Himayasri; Lewis, Andrew; Li, Liang; Luo, Qi; Madani, Hossein; Mallet, Colin; Maruthupandian, Surya; Mathen, Elizabeth Reeja; Matousek, Pavel; McCool, Simon; McGarry, James C.; Menon, Catherine; Metzner, Christoph; Miles, Rachael E. H.; Moeinnia, Hadi; Moggridge, Paul; Mohseni, Mahdi; Montalvão, Diogo; Moraby, Mohammad Najeeb; Murnane, Darragh; Norgate, Marc; Nourani, Amir; Prasad, Kumar Shantanu; Ramalingam, Soodamani; Rastogi, Shavika; Reid, Jonathan P.; Ren, Guogang; Rivilla, Victor M.; Saidpour, Hossein; Saito, Kiyoshi; Sajedi, Seyed Amir Hossein; Salge, Christoph; Samararatne, Samadhi; Schmuker, Michael; Sensoy, Elif; Shriram, Ajay; Singh, Harpreet; Sorouraddin, Yasser; Steuber, Volker; Stone, Nicholas; Sun, Yi; Sureddi, Roopesh; Sutton, Samuel; Thomas, Peter; Timms, Andrew R; Tiwari, P. R.; Tsokanos, Athanasios; Vadalia, Mansukhlal; Yaqoob, Muhammad; Yulianto, Muhamad; Zheng, Minghua (University of Hertfordshire, 2022-11-04)
      The present proceedings record the abstracts submitted and accepted for presentation at SPECS 2022, the second edition of the School of Physics, Engineering and Computer Science Research Conference that took place online, ...

    • Robust Very Small Spiking Neural Networks Evolved with Noise to Recognize Temporal Patterns 

      Yaqoob, Muhammad; Wróbel, Borys (MIT Press, 2018-07-01)
      To understand how biological and bio-inspired complex computational networks can function in the presence of noise and damage, we have evolved very small spiking neural networks in the presence of noise on the membrane ...