Keynote speakers

Lila Davachi, Flavio Frohlich, Adam Gazzaley, Lars Muckli, and Catherine Tallon-Baudry have been confirmed as the keynote speakers in ICON 2020.

 

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Prof. Lila Davachi

Department of Psychology, Columbia University, New York, NY & Department of Biomedical Imaging & Neuromodulation, Nathan Kline Institute, Orangeburg, NY, USA

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 that allows us to later reconstruct the episodic details (the what, when, and where) of the past. 

Dr. Davachi and her lab have 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. 

 

Flavio

Prof. Flavio Frohlich

Carolina Center for Neurostimulation (CCNS), Department of Psychiatry, University of North Carolina at Chapel Hill, USA

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.

Dr. Frohlich and his group arepassionate 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.

 

Adam

Prof. Adam Gazzaley

UCSF Medical Center, University of California San Francisco, USA

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, using a powerful combination of neurophysiological tools, including functional magnetic resonance imaging (fMRI), electroencephalography (EEG), transcranial magnetic stimulation (TMS).

 

Lars Muckli

Prof. Lars Muckli

Institute of Neuroscience and Psychology, University of Glasgow, UK

Title of the talk: Imagery and visual illusions in different feed-back layers of V1 (using 7-T fMRI)

Dr. Muckli’s lab uses functional magnetic imaging of the primary visual cortex (V1) to investigate the brain’s prediction of the environment in perception. More “backward” than “forward” projections are found in the cortex, which fits well with early hypotheses that the brain uses memory and expectation to form predictions of input.

The role of feedback in prediction is measured 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 7-Tesla fMRI imaging.

 

catherine

Prof. Catherine Tallon-Baudry

Laboratoire de Neurosciences Cognitives et Computationnelles, Département d'études cognitives, Ecole Normale Supérieure (ENS), PSL Research University, INSERM, Paris, France

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 underlying perceptual (i.e., figure/ground) or cognitive (i.e., attentional selection) discrimination contribute to the subjective visual experience, and 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.