Topic: evidence integration

During primate evolution, prefrontal cortex (PFC) expanded substantially relative to other cortical areas. The expansion of PFC circuits likely supported the increased cognitive abilities of humans and anthropoids to plan, evaluate, and decide between different courses of action. But what do these circuits compute as a decision is being made, and how can they be related to anatomical specialisations within and across PFC? To address this, we recorded PFC activity during value-based decision making using single unit recording in non-human primates and magnetoencephalography in humans. At a macr

Poor air quality in cities is a significant threat to health and life expectancy, with over 80% of people living in urban areas exposed to air quality levels that exceed World Health Organisation limits. In this session, I present a multi-resolution multi-task framework that handles evidence integration under varying spatio-temporal sampling resolution and noise levels. We have developed both shallow Gaussian Process (GP) mixture models and deep GP constructions that naturally handle this evidence integration, as well as biases in the mean. These models underpin our work at the Alan Turing In

A key function of the brain is to process noisy sensory stimuli to make fast and accurate decisions. Canonical studies manipulate average noise to study stimulus effects on decision parameters, but how processing of exact stochastic fluctuations impacts the decision outcome, has remained largely unexplored. We conducted behavioral experiments with stimuli following physical motion equations under nonequilibrium processes to define the stimulus dynamics in detail. In experiment I, participants (N=21) judged the motion direction of a visual stimulus with a given drift velocity (v) and diffusion