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Research Interest
Dr. Maida seeks to understand the brain has a thinking machine. His research interests are in biomorphic AI and computational neuroscience.
Computational neuroscience conceptualizes the brain as a parallel computer that is built from biological hardware. The hardware consists of neurons and their interconnections. Biologists can measure many aspects of neural function but they encounter great difficulties in directly measuring how these neurons work together as a unified system. Computer simulations and mathematical analysis are used as a means to try to fill in these gaps and to generate new ideas and hypotheses about how the various brain subsystems work, singly, and in concert, to form a unified mind.
There are also practical sides to this subject. Is it possible to reverse engineer the brain to build an artificial intelligence system capable of human-like perception or thinking? This is known as biomorphic artificial intelligence. Can we construct brain/machine interfaces to assist humans who are handicaped, such as paraplegics or the visually impaired? Is it possible to develop brain simulations of mental illnesses, such as bipolar disorder or schizophrenia?
研究兴趣
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BMC Medical Informatics and Decision Makingno. 1 (2024): 1-12
IMAGE AND VISION COMPUTING (2024): 104872
CoRR (2023)
arXiv (Cornell University) (2023)
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2023 26th International Conference on Computer and Information Technology (ICCIT)pp.1-6, (2023)
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