DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels
Videos of animal behavior are used to quantify researcher-defined behaviors of interest to
study neural function, gene mutations, and pharmacological therapies. Behaviors of interest …
study neural function, gene mutations, and pharmacological therapies. Behaviors of interest …
Elephants and algorithms: a review of the current and future role of AI in elephant monitoring
Artificial intelligence (AI) and machine learning (ML) present revolutionary opportunities to
enhance our understanding of animal behaviour and conservation strategies. Using …
enhance our understanding of animal behaviour and conservation strategies. Using …
[HTML][HTML] Vocal functional flexibility: what it is and why it matters
Highlights•Vocal functional flexibility is fundamental to language but is overlooked.•This
ability is largely misunderstood in animal communication research.•We clarify what vocal …
ability is largely misunderstood in animal communication research.•We clarify what vocal …
The pair-r24m dataset for multi-animal 3d pose estimation
Understanding the biological basis of social and collective behaviors in animals is a key
goal of the life sciences, and may yield important insights for engineering intelligent multi …
goal of the life sciences, and may yield important insights for engineering intelligent multi …
Deep learning-based system for real-time behavior recognition and closed-loop control of behavioral mazes using depth sensing
Robust quantification of animal behavior is fundamental in experimental neuroscience
research. Systems providing automated behavioral assessment are an important alternative …
research. Systems providing automated behavioral assessment are an important alternative …
Dataset Generation and Bonobo Classification from Weakly Labelled Videos
PE Martin - Proceedings of SAI Intelligent Systems Conference, 2023 - Springer
This paper presents a bonobo detection and classification pipeline built from the commonly
used machine learning methods. Such application is motivated by the need to test bonobos …
used machine learning methods. Such application is motivated by the need to test bonobos …
[PDF][PDF] Reclaiming the utopia: Alternate ecosystems for safeguarding human rights in the high-performance brain machine Interface era
SM Zanjani, A Ghazizadeh - Addiction, 2021 - researchgate.net
Brain-machine interface (BMI) has long been a candidate for treating neurological
conditions and for enhancing mental faculties in humans. Recently, the riveting advances in …
conditions and for enhancing mental faculties in humans. Recently, the riveting advances in …
Vocal functional flexibility: what it is and why it matters
Human speech is marked by a signal–function decoupling, the capacity to produce sounds
that can fulfil a variety of functions, in contrast to nonverbal vocalizations such as laughter …
that can fulfil a variety of functions, in contrast to nonverbal vocalizations such as laughter …
[PDF][PDF] Novel Tools for Quantification and Automatic Classification of Behavior in Laboratory Animals-Advancing Computational Ethology
AFD Gerós - 2022 - repositorio-aberto.up.pt
Body temperature variation can provide valuable information in animal-based biomedical
research. An increasingly used method for monitoring thermal changes in laboratory …
research. An increasingly used method for monitoring thermal changes in laboratory …