Asia
Active learning of neural population dynamics using two-photon holographic optogenetics Andrew Wagenmaker University of California, Berkeley Lu Mi
The traditional approach to data-driven modeling of a neural population typically involves two separate stages. First, neural population activity is recorded while an animal performs a task of interest.
a76a757ed479a1e6a5f8134bea492f83-Paper-Datasets_and_Benchmarks.pdf
We construct the classification and segmentation models that directly take this radiance fields format as input and also propose a novel augmentation technique to avoid overfitting on backgrounds of images.
Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning
Chain-of-thought (CoT) is a method that enables language models to handle complex reasoning tasks by decomposing them into simpler steps.