CiNet/FBS Seminar
"Detailed mapping of perceptual and cognitive representations across the human brain"
Date / Time : August 28, 2013 / 16:00 - 18:00
日時：2013年8月28日 16:00 - 18:00
Place : CiNet Building 1F Conference Hall (A)
場所：CiNet棟１階 大会議室（A）
## Map and directions:
http://cinet.jp/access/index.html
http://www.fbs.osaka-u.ac.jp/eng/general/suita.php
(CiNet Building is [Blue Circle #11] right next to the Nanobiology Building (FBS) in the map)
Abstract:
Most information in the human brain is represented at a scale far finer than can be obtained in typical localization experiments. Measurement of this fine-scale information could provide important new insights about the functional representations underlying cognition. In this talk I will summarize our work showing how multiple aspects of visual and linguistic information are represented across the human brain. Our work leverages a new approach to this problem that has been developed in my laboratory over the last several years. This approach involves quantitative computational modeling of brain activity data recorded by fMRI while subjects watch movies or listen to stories. For example, we find that semantic information in movies and speech is represented in low-dimensional semantic spaces that are mapped systematically across cortex. These representations span several dozen distinct gradients and areas, many of which lie outside any region-of-interest established in previous studies. Thus, the representation of perceptual and semantic information is far richer and more complex than suggested by previous fMRI localization studies. Our approach provides a powerful new method for mapping the representation of many different perceptual and cognitive processes across the human brain, and for investigating how these representations are modulated by attention, memory and learning.
Biography:
Jack Gallant is Professor of Psychology at the University of California at Berkeley, and is affiliated with the graduate programs in Bioengineering, Biophysics, Neuroscience and Vision Science. He received his Ph.D. from Yale University and did post-doctoral work at the California Institute of Technology and Washington University Medical School. His research program focuses on quantitative computational modeling of brain data. These models accurately describe how the brain encodes information during natural tasks, and they can be used to decode information in the brain in order to reconstruct mental experiences. This computational framework can be used to understand and decode brain activity measured by different methods (e.g., functional MRI, NIRS, EEG or ECOG), and in different modalities (i.e., vision, audition, imagery and so on).
http://gallantlab.org
"Detailed mapping of perceptual and cognitive representations across the human brain"
Date / Time : August 28, 2013 / 16:00 - 18:00
日時：2013年8月28日 16:00 - 18:00
Place : CiNet Building 1F Conference Hall (A)
場所：CiNet棟１階 大会議室（A）
## Map and directions:
http://cinet.jp/access/index.html
http://www.fbs.osaka-u.ac.jp/eng/general/suita.php
(CiNet Building is [Blue Circle #11] right next to the Nanobiology Building (FBS) in the map)
Abstract:
Most information in the human brain is represented at a scale far finer than can be obtained in typical localization experiments. Measurement of this fine-scale information could provide important new insights about the functional representations underlying cognition. In this talk I will summarize our work showing how multiple aspects of visual and linguistic information are represented across the human brain. Our work leverages a new approach to this problem that has been developed in my laboratory over the last several years. This approach involves quantitative computational modeling of brain activity data recorded by fMRI while subjects watch movies or listen to stories. For example, we find that semantic information in movies and speech is represented in low-dimensional semantic spaces that are mapped systematically across cortex. These representations span several dozen distinct gradients and areas, many of which lie outside any region-of-interest established in previous studies. Thus, the representation of perceptual and semantic information is far richer and more complex than suggested by previous fMRI localization studies. Our approach provides a powerful new method for mapping the representation of many different perceptual and cognitive processes across the human brain, and for investigating how these representations are modulated by attention, memory and learning.
Biography:
Jack Gallant is Professor of Psychology at the University of California at Berkeley, and is affiliated with the graduate programs in Bioengineering, Biophysics, Neuroscience and Vision Science. He received his Ph.D. from Yale University and did post-doctoral work at the California Institute of Technology and Washington University Medical School. His research program focuses on quantitative computational modeling of brain data. These models accurately describe how the brain encodes information during natural tasks, and they can be used to decode information in the brain in order to reconstruct mental experiences. This computational framework can be used to understand and decode brain activity measured by different methods (e.g., functional MRI, NIRS, EEG or ECOG), and in different modalities (i.e., vision, audition, imagery and so on).
http://gallantlab.org