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Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
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A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamicsMany existing methods for exploring the link between neural activity and behavior rely on the analysis of static images and brain scans ... Most dynamical models introduced in the past were linear, ...
To the best of our knowledge, deep-learning-based methods for automatic noise detection and removal have not been explored in the field of processing geological sedimentary model images. In this ...
Highly flexible foundation models like artificial neural networks are imperative in medical practice, enabling diverse tasks with little or no task-specific labeled data. The crucial problem remains ...
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