Topic: Brownian motion

Develop phylogenetic comparative methods from their probabilistic foundations using Julia. Participants implement likelihood and Bayesian inference, including Markov chain Monte Carlo, and study Brownian motion, continuous-time Markov chains and birth–death processes. These tools are applied to trait evolution, biogeography and diversification, including the effects of environmental and biotic interactions. The practical course is intended for researchers familiar with programming, probability and phylogenetics; prior Julia experience is not required. Sessions on 1, 3, 5, 8, 10 and 12 March 2

Sequential reactivation (replay) of neurons in the hippocampus has been widely observed in sharp wave ripple events (SWRs) during awake and sleep periods, and they are associated with mnemonic processes, such as memory retrieval, consolidation, future planning and decision making. Previous studies have shown that the replay trajectories in the rat hippocampus are rather random, which resemble at least two different types of stochastic process, one corresponding to Brownian diffusion discovered during sleep SWRs and the other Lévy superdiffusion discovered during awake SWRs. The underlying mech