Pinaki Laskar on LinkedIn: #artificialintelligence #neuroscience #neuralnetworks

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner Understanding neuroscience in terms of #artificialintelligence? It involves affective, behavioral, clinical, cellular, cognitive, computational and systems neuroscience. Computational neuroscience (theoretical neuroscience or mathematical neuroscience) involves machine learning, artificial neural networks, artificial intelligence and computational learning theory. Neuroscientists hope identify correlates of intelligence within the brain and its functioning relying on some brain/head biometrics: brain volume, grey matter volume, white matter volume, white matter integrity, cortical thickness and neural efficiency. They view the understanding of the biological basis of learning, memory, behavior, perception, and consciousness has been described as the "ultimate challenge" of the biological sciences. The substrate of human intelligence has been a topic of considerable interest to philosophers and physicians from the ancient times, and it is known as the mind-body problem, dualism vs monism.