International Brain Laboratory

@intlbrainlab.bsky.social

Experimental & theoretical neuroscientists collaborating to understand brainwide circuits for complex behavior. internationalbrainlab.com

New in Nature Neuroscience: We developed a flexible model that reveals how animals learn tasks—uncovering stages, sudden insights, and gradual improvements unique to each animal. Learning isn't monotonic, and our model captures that complexity 🐭📊 www.nature.com/articles/s41...

Infinite hidden Markov models can dissect the complexities of learning - Nature Neuroscience

Bruijns et al. present a modeling tool that enables the tracking of learning dynamics across subjects to reveal how behaviors emerge and adapt. Applying the tool to a decision-making task in mice unco...

nature.com

🎉 Excited to announce Lightning Pose 3D! A complete redesign of our app with powerful new features: calibration-aware labeling for multiview data, state-of-the-art multiview transformer models for training & inference, an interactive video viewer, and continued support for single-view projects.

Screenshots of Lightning Pose 3D app

Thrilled to share our state-of-the-art method for in vivo cell-type classification and brain region localization, NEMO, which is now now a spotlight at @iclr-conf.bsky.social ! We use NEMO to characterize the electrophysiological diversity of cell-types across the entire mouse brain. 🐭 🧪 🧠

Another step toward a foundation model of the mouse brain: "Neural Encoding and Decoding at Scale (NEDS)" Trained on neural and behavioral data from 70+ mice, NEDS achieves state-of-the-art prediction of behavior (decoding) and neural responses (encoding) on held-out animals. 🐀

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Ported over from X! What will a foundation model for the brain look like? 🧠 We argue that it must be able to solve a diverse set of tasks across multiple brain regions and animals. Check out our NeurIPS paper which introduces a multi-region, multi-animal, multi-task model arxiv.org/abs/2407.14668