CNS*2020 Online has ended
Welcome to the Sched instance for CNS*2020 Online! Please read the instruction document on detailed information on CNS*2020.
Back To Schedule
Monday, July 20 • 6:20pm - 6:40pm
O14: Reconciling emergences: An information-theoretic approach to identify causal emergence in multivariate data

Log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.

Pedro Mediano, Fernando Rosas, Henrik Jensen, Anil Seth, Adam Barrett, Robin Carhart-Harris, Daniel Bor

The broad concept of emergence is instrumental in various key open scientific questions – yet, few quantitative theories of what constitutes emergent phenomena have been proposed. We introduce a formal theory of causal emergence in multivariate systems, which studies the relationship between the dynamics of parts of a system and macroscopic features of interest. Our theory provides a quantitative definition of downward causation, and introduces a complementary modality of emergent behaviour, which we refer to as causal decoupling. Moreover, we provide criteria that can be efficiently calculated in large systems, making the theory applicable in a range of practical scenarios. We illustrate our framework in a number of case studies, including Conway’s Game of Life and ECoG data from macaques during a reaching task, which suggest that the neural representation of motor behaviour may be causally decoupled from cortical activity.

avatar for Pedro Mediano

Pedro Mediano

Post-doctoral researcher, Department of Psychology, University of Cambridge

Monday July 20, 2020 6:20pm - 6:40pm CEST
  Oral, Structural and Functional Connectivity
  • Moderator Sacha van Albada; Ingo Bojak