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Towards the fully automated monitoring of ecological communities
High‐resolution monitoring is fundamental to understand ecosystems dynamics in an era of
global change and biodiversity declines. While real‐time and automated monitoring of …
global change and biodiversity declines. While real‐time and automated monitoring of …
Are deep neural networks adequate behavioral models of human visual perception?
Deep neural networks (DNNs) are machine learning algorithms that have revolutionized
computer vision due to their remarkable successes in tasks like object classification and …
computer vision due to their remarkable successes in tasks like object classification and …
Hard to track objects with irregular motions and similar appearances? make it easier by buffering the matching space
Abstract We propose a Cascaded Buffered IoU (C-BIoU) tracker to track multiple objects that
have irregular motions and indistinguishable appearances. When appearance features are …
have irregular motions and indistinguishable appearances. When appearance features are …
Facemap: a framework for modeling neural activity based on orofacial tracking
Recent studies in mice have shown that orofacial behaviors drive a large fraction of neural
activity across the brain. To understand the nature and function of these signals, we need …
activity across the brain. To understand the nature and function of these signals, we need …
Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling and cloud-native open-source tools
Contemporary pose estimation methods enable precise measurements of behavior via
supervised deep learning with hand-labeled video frames. Although effective in many cases …
supervised deep learning with hand-labeled video frames. Although effective in many cases …
[HTML][HTML] Machine learning and artificial intelligence in neuroscience: A primer for researchers
F Badrulhisham, E Pogatzki-Zahn, D Segelcke… - Brain, Behavior, and …, 2024 - Elsevier
Artificial intelligence (AI) is often used to describe the automation of complex tasks that we
would attribute intelligence to. Machine learning (ML) is commonly understood as a set of …
would attribute intelligence to. Machine learning (ML) is commonly understood as a set of …
Three-dimensional surface motion capture of multiple freely moving pigs using MAMMAL
Understandings of the three-dimensional social behaviors of freely moving large-size
mammals are valuable for both agriculture and life science, yet challenging due to …
mammals are valuable for both agriculture and life science, yet challenging due to …
Emerging technologies for behavioral research in changing environments
The first response exhibited by animals to changing environments is typically behavioral.
Behavior is thus central to predicting, and mitigating, the impacts that natural and …
Behavior is thus central to predicting, and mitigating, the impacts that natural and …
Deep learning in multiple animal tracking: A survey
Multiple animal tracking based on deep learning is a crucial and demanding task with
extensive applications in agriculture, livestock farming, and ecological research. The primary …
extensive applications in agriculture, livestock farming, and ecological research. The primary …
Neural circuits regulating prosocial behaviors
Positive, prosocial interactions are essential for survival, development, and well-being.
These intricate and complex behaviors are mediated by an amalgamation of neural circuit …
These intricate and complex behaviors are mediated by an amalgamation of neural circuit …