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[1] Zador (2024) NeuroAI: A field born from the symbiosis between neuroscience, AI. The Transmitter. https://doi.org/10.53053/EOIW4593 . [2] Zador et al. (2023) Catalyzing next-generation Artificial
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area called NeuroAI could potentially deliver XAI [2] as this area bridges the knowledge gap between experimental neuroscience and AI [2]. Experimental neuroscience focuses on understanding brain
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neuroscience with real-world medical applications. By understanding how these cellular "traffic controllers" work, we could develop more effective treatments for neurological disorders and advance our
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of uncertain information, are core components of cognition in humans and other organisms. The neurosciences and cognitive sciences of decision-making and learning have acquired large and complex data
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., Cookson, M.R., Petrucelli, L. and La Spada, A.R. (2018). Converging pathways in neurodegeneration, from genetics to mechanisms. Nature neuroscience, 21(10), pp.1300-1309. 7. Yadav, R.S. and Tiwari, N.K
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Model. Neuroscience Biobehavioral Reviews, 112, 600-615. doi: 10.1016/j.neubiorev.2020.02.008. Clare, A., & Camic, P.M. (2020). Live and recorded group music interventions with active participation
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will benefit from Ulster’s wide-ranging expertise in Computational Neuroscience, Cognitive Neuroscience, Machine Learning and Computational Biology, and will interact closely with various leading
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., Palumbo, I. M., DeYoung, C. G., Latzman, R. D., & Kotov, R. (2021). Linking RDoC and HiTOP: A new interface for advancing psychiatric nosology and neuroscience. Clinical Psychology Review, 86, 102025. doi