This correspondence between brain state and brain responsiveness (statedependent responses) is outlined at different scales from the cellular and circuit level, to the mesoscale and macroscale level.
Tech Xplore on MSN
Overparameterized neural networks: Feature learning precedes overfitting, research finds
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...
Despite soaring progress, scientists at AI’s largest gathering say key questions about how models work and how to measure ...
Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...
Both cloud-based and edge AI hardware will continue getting better, but the balance may not shift in the NPU’s favor. “The cloud will always have more compute resources versus a mobile device,” said ...
Is language core to thought, or a separate process? For 15 years, the neuroscientist Ev Fedorenko has gathered evidence of a ...
In a new leap for neurobiology and bioelectronics, Northwestern University scientists have developed a wireless device that ...
Emerging research is looking at the impact AI use has on our brains and whether it is just making us lazy or rewiring our neural pathways. Here's what the studies say.
Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...
Songbird HVC sequences arise from a balance of ionic currents and structured inhibition, providing a mechanistic framework for understanding cortical sequence generation.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback