'Visual Predictions in different layers of visual cortex'
- University house - Room G03
- Lectures Talks and Workshops, Life and Environmental Sciences, Research
Part of the School Seminar Series
Speaker: Professor Lars Muckli, Centre for Cognitive Neuroimaging (CCNi) / Institute of Neuroscience and Psychology
Host: Dr Ian Charest
Abstract: Normal brain function involves the interaction of internal processes with incoming sensory stimuli. We have created a series of brain imaging experiments that sample internal models and feedback mechanisms in early visual cortex. Primary visual cortex (V1) is the entry-stage for cortical processing of visual information. We can show that there are two information counter-streams concerned with: (1) retinotopic visual input and (2) top-down predictions of internal models generated by the brain. Our results speak to the conceptual framework of predictive coding. Internal models amplify and disamplify incoming information. The brain is a prediction-machinery. Healthy brain function will strike a balance between precision of prediction and prediction update based on prediction error. Our results incorporate state of the art, layer-specific ultra-high field fMRI and other imaging techniques.