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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 ...
High-throughput synapse profiling reveals cell-type-specific spatial configurations in the fly brain
Characterization of intracellular synapse heterogeneity aides to understand the intricate computational logic of neuronal circuits. Despite recent advances in connectomics, the spatial patterns of ...
Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...
Explore the top AI tools and essential skills every data engineer needs in 2025 to stay ahead—covering data pipelines, ML ...
This paper reviews the research progress of deep learning-based household waste classification algorithms. It first introduces the importance of household waste classification and the application ...
A Lightweight DCNN Algorithm For Radar-based Suspicious Human Activities Classification With Data Augmentation Techniques ...
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