733 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of KonstanzDE23 papers
- Imperial College LondonGB8 papers
- University College LondonGB8 papers
- Wellcome Centre for Human NeuroimagingGB7 papers
- VERSES (United States)6 papers
- University of OxfordGB5 papers
- MRC Brain Network Dynamics UnitGB3 papers
- Queen Mary University of LondonGB3 papers
- Stony Brook UniversityUS3 papers
- Syracuse UniversityUS3 papers
- Tilburg UniversityNL3 papers
- AGH University of KrakowPL2 papers
27 papers
The Evolution of Altruistic Rationality Provides a Solution to Social Dilemmas via Rational Reciprocity
Mohammad Salahshour, Iain D. Couzin
Decades of scientific inquiry have sought to understand how evolution fosters cooperation, a concept seemingly at odds with the belief that evolution should produce rational, self-…
Perceptual Rationality: An Evolutionary Game Theory of Perceptually Rational Decision-Making
Mohammad Salahshour
Understanding how biological organisms make decisions is of fundamental importance in understanding behavior. Such an understanding within evolutionary game theory so far has been…
Resource efficient data transmission on animals based on machine learning
Wilhelm Kerle-Malcharek, Karsten Klein, Martin Wikelski +2
Bio-loggers, electronic devices used to track animal behaviour through various sensors, have become essential in wildlife research. Despite continuous improvements in their capabil…
The Co-evolution of Cooperation and Epidemic Spreading
Mehran Noori, Nahid Azimi-Tafreshi, Mohammad Salahshour
People's cooperation in adopting protective measures is effective in epidemic control and creates herd immunity as a public good. Similarly, the presence of an epidemic is a drivin…
SPRING: an effective and reliable framework for image reconstruction in single-particle Coherent Diffraction Imaging
Alessandro Colombo, Mario Sauppe, Andre Al Haddad +40
Coherent Diffraction Imaging (CDI) is an experimental technique to gain images of isolated structures by recording the light scattered off the sample. In principle, the sample dens…
Roadmap for Animate Matter
Giorgio Volpe, Nuno A. M. Araújo, Maria Guix +37
Humanity has long sought inspiration from nature to innovate materials and devices. As science advances, nature-inspired materials are becoming part of our lives. Animate materials…
animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics
Julian C. Schäfer-Zimmermann, Vlad Demartsev, Baptiste Averly +9
Bioacoustic research, vital for understanding animal behavior, conservation, and ecology, faces a monumental challenge: analyzing vast datasets where animal vocalizations are rare.…
Models of Animal Behavior as Active Particle Systems with Nonreciprocal Interactions
Amir Haluts, Dan Gorbonos, Nir S. Gov
Active particle systems of interacting self-propelled particles offer a versatile framework for modeling complex systems. When employed to describe aspects of animal behavior, the…
Predator-prey survival pressure is sufficient to evolve swarming behaviors
Jianan Li, Liang Li, Shiyu Zhao
The comprehension of how local interactions arise in global collective behavior is of utmost importance in both biological and physical research. Traditional agent-based models oft…
Collective behavior from surprise minimization
Conor Heins, Beren Millidge, Lancelot da Costa +3
Collective motion is ubiquitous in nature; groups of animals, such as fish, birds, and ungulates appear to move as a whole, exhibiting a rich behavioral repertoire that ranges from…
Learning to detect an animal sound from five examples
Inês Nolasco, Shubhr Singh, Veronica Morfi +14
Automatic detection and classification of animal sounds has many applications in biodiversity monitoring and animal behaviour. In the past twenty years, the volume of digitised wil…
A simple cognitive model explains movement decisions during schooling in zebrafish
Lital Oscar, Liang Li, Dan Gorbonos +2
While moving, animals must frequently make decisions about their future travel direction, whether they are alone or in a group. Here we investigate this process for zebrafish (Dani…
Designing Ecosystems of Intelligence from First Principles
Karl J Friston, Maxwell J D Ramstead, Alex B Kiefer +17
This white paper lays out a vision of research and development in the field of artificial intelligence for the next decade (and beyond). Its denouement is a cyber-physical ecosyste…
Path integrals, particular kinds, and strange things
Karl Friston, Lancelot Da Costa, Dalton A. R. Sakthivadivel +4
This paper describes a path integral formulation of the free energy principle. The ensuing account expresses the paths or trajectories that a particle takes as it evolves over time…
Few-shot bioacoustic event detection at the DCASE 2022 challenge
I. Nolasco, S. Singh, E. Vidana-Villa +12
Few-shot sound event detection is the task of detecting sound events, despite having only a few labelled examples of the class of interest. This framework is particularly useful in…
Sparse coupling and Markov blankets: A comment on "How particular is the physics of the Free Energy Principle?" by Aguilera, Millidge, Tschantz and Buckley
Conor Heins, Lancelot Da Costa
In this commentary, we respond to a technical analysis of the Free Energy Principle (hereafter: FEP) presented in "How particular is the physics of the Free Energy Principle" by Ag…
Particular flows and attracting sets: A comment on "How particular is the physics of the Free Energy Principle?" by Aguilera, Millidge, Tschantz and Buckley
Conor Heins
In this commentary, I expand on the analysis of the recent article "How particular is the physics of the Free Energy Principle?" by Aguilera et al. by studying the flow fields of l…
On Bayesian Mechanics: A Physics of and by Beliefs
Maxwell J. D. Ramstead, Dalton A. R. Sakthivadivel, Conor Heins +5
The aim of this paper is to introduce a field of study that has emerged over the last decade called Bayesian mechanics. Bayesian mechanics is a probabilistic mechanics, comprising…
Local majority-with-inertia rule can explain global consensus dynamics in a network coordination game
Felix Gaisbauer, Ariana Strandburg-Peshkin, Helge Giese
We study how groups reach consensus by varying communication network structure and individual incentives. In 342 networks of seven individuals, single opinionated "leaders" can dri…
The free energy principle made simpler but not too simple
Karl Friston, Lancelot Da Costa, Noor Sajid +4
This paper provides a concise description of the free energy principle, starting from a formulation of random dynamical systems in terms of a Langevin equation and ending with a Ba…
Seeing biodiversity: perspectives in machine learning for wildlife conservation
Devis Tuia, Benjamin Kellenberger, Sara Beery +15
Data acquisition in animal ecology is rapidly accelerating due to inexpensive and accessible sensors such as smartphones, drones, satellites, audio recorders and bio-logging device…
Exceptional algebroids and type IIB superstrings
Mark Bugden, Ondrej Hulik, Fridrich Valach +1
In this note we study exceptional algebroids, focusing on their relation to type IIB superstring theory. We show that a IIB-exact exceptional algebroid (corresponding to the group…
Bayesian Mechanics for Stationary Processes
Lancelot Da Costa, Karl Friston, Conor Heins +1
This paper develops a Bayesian mechanics for adaptive systems. Firstly, we model the interface between a system and its environment with a Markov blanket. This affords conditions u…
Deep learning with self-supervision and uncertainty regularization to count fish in underwater images
Penny Tarling, Mauricio Cantor, Albert Clapés +1
Effective conservation actions require effective population monitoring. However, accurately counting animals in the wild to inform conservation decision-making is difficult. Monito…