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- Hot off the press: the second Annolid paper (arXiv preprint), focusing on Annolid's new zero-annotation automatic tracking capabilities.
- Chen will present the newest developments in the Annolid software package for deep learning-based behavior analysis using instance segmentation. There are substantial new advances to present, based on new models including Cutie VOS (visual object segmentation) and Meta's Segment Anything that are used for easier object identification and automatic tracking. Come with your ideas, questions, and research needs.
- You also can look at our lab's two Annolid-related posters from SFN 2024 for an introduction: Chen Yang et al., Ray Fang et al.
- There are also several Annolid videos posted on Youtube; our MATB playlist is at https://cplab.science/matb.
23 April 2024: David Zheng
A. Sharif, J. Matsumoto, C. Choijiljav, A. Badarch, T. Setogawa, H. Nishijo and H. Nishimaru (2024). Characterization of Ultrasonic Vocalization-Modulated Neurons in Rat Motor Cortex Based on Their Activity Modulation and Axonal Projection to the Periaqueductal Gray. eNeuro 11(4):1-10.
7 May 2024: Hamid Turker
- Medial prefrontal cortical neurons diff erentiate match and non-match cues in a continuous olfactory match-to-sample task. Original research, no readings.
Until next fall...