Humans make tens of thousands of decisions every day. Project Azua aims to develop machine learning solutions for efficient decision making that demonstrate human expert-level performance across all ...
TALL (Text Analysis for ALL) is an interactive R Shiny application designed for exploring, modeling, and visualizing textual data. It provides a comprehensive, code-free environment for Natural ...
National Institute of Neurological Disorders and Stroke, Bethesda, Maryland 20814, United States National Heart, Lung and Blood Institute, Bethesda, Maryland 20892, United States Theoretical and ...
Machine learning (ML) approaches are a collection of algorithms that attempt to extract patterns from data and to associate such patterns with discrete classes of samples in the data—e.g., given a ...
Information that is shared across brains is encoded in idiosyncratic fine-scale functional topographies. Hyperalignment captures shared information by projecting pattern vectors for neural responses ...
Place cell activity of hippocampal pyramidal cells has been described as the cognitive substrate of spatial memory. Replay is observed during hippocampal sharp-wave-ripple-associated population burst ...
SCANPY is a scalable toolkit for analyzing single-cell gene expression data. It includes methods for preprocessing, visualization, clustering, pseudotime and trajectory inference, differential ...
Magnetoencephalography and electroencephalography (M/EEG) measure the weak electromagnetic signals generated by neuronal activity in the brain. Using these signals to characterize and locate neural ...
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