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Accelerated Methods in {Multi-Modal, Multi-Metric, Many-Model} CogNeuroAI
A tutorial showcasing a number of (GPU-accelerated) methods for probing the representational alignment of brains, minds, and machines.
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An Overview of the Neuropixels Visual Behavior Dataset From the Allen Institute
Tutorial on analyzing the Visual Behavior Neuropixels dataset from the Allen Institute
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CONFORM: A Project to Create Crowd-Sourced Open Neuroscience fMRI Foundation Models
CONFORM is a crowd-sourced framework to build a human fMRI foundation model through improved preprocessing, dataset aggregation, and in-context representation learning.
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Neural Keyword Spotting on LibriBrain
End-to-end walkthrough for Neural Keyword Spotting (KWS) on the LibriBrain MEG corpus: load data, frame the task, train a compact baseline, and evaluate with precision–recall metrics tailored to extreme class imbalance.
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NLDisco: A Pipeline for Interpretable Neural Latent Discovery
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Reading Observed At Mindless Moments (ROAMM): A Simultaneous EEG and Eye-Tracking Dataset of Natural Reading with Attention Annotations
ROAMM (Reading Observed At Mindless Moments) is a large-scale multimodal dataset of EEG and eye-tracking data during naturalistic reading, with precise annotations of mind-wandering episodes to advance research in attention, language, and machine learning.
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