This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...

Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...

Fluctuations in brain activity, also known as neural variability, enable us to be flexible in adjusting our behavior to the ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

Pathway claims to have uncovered the mathematical blueprint of intelligence and built an AI named Baby Dragon Hatchling (BDH) ...

Understanding human behavior and cognition remains one of the most compelling challenges in neuroscience. Despite significant advances, non-invasive ...

Researchers from Noida International University and Dayananda Sagar University explored deep learning models for anomaly detection in solar power systems, comparing LSTM, FFNN, and Isolation Forest ...