Sneha Khedkar in The Scientist:
The development of better and more reliable artificial intelligence (AI) technologies has immense applications in the field of scientific research. AI has become a powerful extra set of eyes and hands for scientists: It can sift through heaps of data in seconds, guide experiments, and help write better manuscripts. “We’re seeing the emergence of subdisciplines that are AI plus X, where X is essentially every field of science. Neuroscience is no exception,” said Christopher Rozell, a neuroengineer at Georgia Institute of Technology, who mediated the AI press conference at the 2025 Society for Neuroscience meeting. During the session, five panelists discussed the applications of AI in biology and how machine learning can augment clinical practice and the field of neuroscience, from data analyses to clinical diagnoses.
Modified Artificial Neural Networks Offer Clues on How the Brain Integrates Sensory Information
The human brain integrates various sensory inputs to reliably perceive the surroundings.1 “This task nowadays is also very successfully solved by artificial neural networks (ANNs), which are indeed inspired by the brain,” said Marcel Oberlaender, a neurobiologist at the Max Planck Institute for Neurobiology of Behavior.
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