Computational NeuroscienceNair, Anu GGutierrezArenas, OmarEriksson, OliviaJauhiainen, AlexandraKotaleski, Jeanette H
We highlight the important role of neuromorphic computing in enhancing the power efficiency and performance of AI. Explore related subjects Discover the latest articles and news from researchers in related subjects, suggested using machine learning. Computational Neuroscience Computer Hardware Intelligence...
One long-standing challenge of the detailed simulation approach lies in its exceedingly high computational cost, which has severely limited its application to neuroscience and AI. The major bottleneck of the simulation is to solve linear equations based on the foundational theories of detailed modeling1...
One long-standing challenge of the detailed simulation approach lies in its exceedingly high computational cost, which has severely limited its application to neuroscience and AI. The major bottleneck of the simulation is to solve linear equations based on the foundational theories of detailed modeling1...
engineering and artificial intelligence, where neuroscientists, cognitive scientists, engineers, psychologists, physicists, computer scientists, and artificial intelligence investigators among others can publish their work in one periodical that bridges the gap between neuroscience, artificial intelligence and ...
Karim Jerbi's Website :: University of Montreal :: Neuroscience, Neuroimaging, Machine Learning, Neuronal Oscillations, Brain Connectivity, Magnetoencephalography, Electrocorticography, and Brain Computer Interfaces
This SI assents research and surveys theoretical and practical aspects, focusing on these neuroscience intelligent computational systems' topics: AI models, mathematical/computational theories, perception, affection, incentive, all types of neural networks, learning, algorithms, architectures, performance ...
Artificial intelligence is an emerging technology that revolutionizes human lives. Despite the fact that this technology is used in higher education, many professors are unaware of it. In this curren...
Computational Neuroscience & Brain Interfaces Track 6: Digital Twin Technology & Intelligent Systems Digital Twin Modeling & Simulation AI-Driven Predictive Maintenance Real-Time Monitoring & Decision Support Systems Digital Twin in Manufacturing & Industry 4.0 ...
The classification of different types of neurons has been a long-standing challenge in neuroscience. Here, the authors present a strategy to quantify all statistically distinct axonal patterns from a brain region based on their anatomical targeting, with this projection-driven neuron classification ...