Title of the talk: TBA
Dr. Davachi's lab is interested in understanding how experiences are initially encoded, undergo further consolidation, and are later retrieved. The Davachi lab uses behavioral and neural (conventional and high-resolution fMRI, iEEG, MEG) measures to help us learn more about the cognitive and neural operations that contribute to episodic memory. In terms of memory formation, the lab has focused on understanding how the brain and, in particular, the medial temporal lobe (MTL) encodes our experiences. Their main approach has been to examine brain activation in MTL substructures during an experience and to identify patterns of activation that are associated with successful memory formation. The group is particularly interested in how we build memories that allow us to later reconstruct the episodic details (the what, when, and where) of the past.
Prof. Flavio Frohlich
Title of the talk: The Convergent Neuroscience of Brain Rhythms in Cognition
The vision of Dr. Frohlich’s lab is that understanding brain network activity will enable the development of novel diagnosis and treatment paradigms. The Frohlich lab is convinced that such a rational design of neurotherapeutics will open the door for individualized, highly effective brain stimulation in psychiatry. The group is passionate about combining different methodological approaches to scientific problems and is a pioneer in the field of network neuroscience. This research integrates neurobiology, engineering, and medicine. The Frohlich Lab (1) performs computer modeling, (2) combines electrophysiology, imaging, brain stimulation, and behavioral assays in animal models, (3) records and modulates human brain activity, and (4) studies new treatments in randomized controlled clinical trials.
Prof. Adam Gazzaley
Title of the talk: Creating Closed-Loop Systems to Understand and Enhance Brain Function
Dr. Gazzaley's lab designs and develops novel brain assessment and optimization tools to impact education, wellness, and medicine practices. This novel approach involves the development of custom-designed, closed-loop video games integrated with the latest advancements in software (brain-computer interfaces, GPU computing, cloud-based analytics) and hardware (virtual/augmented reality, motion capture, mobile physiological recording devices, transcranial electrical brain stimulation). These technologies are then advanced to rigorous research studies that evaluate their impact on multiple aspects of brain function and physiology. This utilizes a powerful combination of neurophysiological tools, including functional magnetic resonance imaging (fMRI), electroencephalography (EEG), transcranial magnetic stimulation (TMS).
Prof. Lars Muckli
Title of the talk: Imagery and visual illusions in different feed-back layers of V1 (using 7T fMRI)
Dr. Muckli’s lab uses functional magnetic imaging of primary visual cortex V1 to investigate the brain’s prediction of the environment in perception. The cortex has more “backward” projections than it does “forward,” which fits well to early hypotheses that the brain uses memory and expectation to form predictions of input. Dr. Muckli’s lab has established a way to measure the role of feedback in prediction, using functional magnetic resonance imaging combined with retinotopic mapping to identify regions of V1 receiving no sensory stimulation (and, therefore, only feedback/lateral input). The group uses multivariate pattern classification to decode the information content of these top-down signals and are now extending this methodology to high-resolution laminar analysis using 7Tesla imaging.
Prof. Catherine Tallon-Baudry
Title of the talk: Visceral inputs, brain dynamics, and subjective cognition
Dr. Tallon-Baudry’s lab uses MEG and behavior to understand how the neural processes performing perceptual (i.e., figure/ground) or cognitive (i.e., attentional selection) are articulated with those giving rise to a subjective visual experience. Dr. Tallon-Baudry’s lab is interested in how brain-body loops may participate in the emergence of consciousness. Consciously perceiving a visual stimulus requires taking a first-person perspective and, therefore, some minimal concept of the self, that could be based on the neural representation of the internal state of the body and central modulation of homeostatic regulations. The group experimentally tests the hypothesis that episodes of visual awareness and episodes of unawareness are associated with different states of brain-body interactions.