Topic: Multi-sensory integration

Tracking a turbulent plume to locate its source is a complex control problem requiring robust multi-sensory integration in the face of intermittent odors, changing wind direction, and variable plume shape. This task is routinely performed by flying insects, often over long distances, in pursuit of food or mates. Several aspects of this remarkable behavior have been studied in detail in many experimental studies. Here, we take a complementary in silico approach, using artificial agents trained with reinforcement learning to develop an integrated understanding of the behaviors and neural comput

The head direction (HD) system functions as the brain's compass, forming our inner representation of the external world. Single HD neurons increase their firing rate when the head of an animal is oriented in a specific direction. The HD signal is internally generated, driven by vestibular information and it is anchored to stable visual cues in the environment. How specific brain microcircuits combine the stable maintenance of the HD signal as well as flexibility upon reorientation is unknown. Our goal is to understand the dynamical structure of the head direction neural network in the presubic