Bayesian Statistics ePosters

Continual learning involves a network adapting to new data while retaining previously learned information. In Artificial Neural Networks , this process faces the challenge of catastrophic forgetting, where updating parameters with new data causes an exponential decline in accuracy over time for previously learned…

We never stop learning when we suffer, but we all learn in unique ways. Adaptive learning helps us cope with adversities, whereas maladaptive learning could hinder coping and lead to more suffering. Indeed, maladaptive aversive learning is thought to be associated with both mental health disorders and chronic pain.…

The activity of 100s-1000’s of neurophysiological signals can be recorded during behaviors and in response to sensory stimuli, creating high-dimensional time-series data. Understanding such data is often aided by methods that extract low-dimensional latent structure present in the high-dimensional recordings.…