Coding of olfactory information in the piriform cortex. This project aims to understand how electrical activity in the primary olfactory (piriform) cortex enables mice to recognise and remember odours. By using optical recording techniques together with genetic tools, the project expects to generate new knowledge about how the mammalian brain builds internal representations of the external world. Specific outcomes of the project include new insights into the functional architecture of the pirifo ....Coding of olfactory information in the piriform cortex. This project aims to understand how electrical activity in the primary olfactory (piriform) cortex enables mice to recognise and remember odours. By using optical recording techniques together with genetic tools, the project expects to generate new knowledge about how the mammalian brain builds internal representations of the external world. Specific outcomes of the project include new insights into the functional architecture of the piriform cortex and fresh understanding of how olfactory information is encoded and stored in neural circuits. More broadly, the project aims to advance our understanding of how the brain works, with benefits for future improvements in artificial intelligence and brain-machine interfaces.Read moreRead less
How human vision separately determines object and scene motion. This project aims to enhance understanding of how people process visual scenes containing multiple moving objects of interest. The project intends to measure human visual performance to determine how the brain processes multiple motion signals simultaneously. Expected outcomes include an increased understanding of how we are able to use an evolving visual scene to distinguish between changes due to self-motion and those due to the m ....How human vision separately determines object and scene motion. This project aims to enhance understanding of how people process visual scenes containing multiple moving objects of interest. The project intends to measure human visual performance to determine how the brain processes multiple motion signals simultaneously. Expected outcomes include an increased understanding of how we are able to use an evolving visual scene to distinguish between changes due to self-motion and those due to the motion of multiple moving objects such as crowded city footpaths and busy roads. The results will improve our understanding of failures to see moving objects in challenging viewing conditions (for example, high density traffic), and inform work in the design of autonomous driving and augmented reality display systems.Read moreRead less