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.
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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, ...
Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...
Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...
In recent years, the study of collective dynamics in complex systems has expanded beyond traditional pairwise network models to include non-pairwise ...
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.
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