ORIGINAL FORMAT VIDEO https://youtu.be/ejn-xvZTz5o Lecture | Jack Gallant
Jack Gallant (Psychology, Electrical Engineering, and Computer Science / University of California, Berkeley)
"The Distributed Conceptual Network in the Human Brain"
Human behavior is based on a complex interaction between perception, stored knowledge, and continuous evaluation of the world relative to plans and goals. Even seemingly simple tasks such as watching a movie or listening to a story involve a range of different perceptual and cognitive processes whose underlying circuitry is broadly distributed across the brain. One important aspect of this system— the representation of conceptual knowledge in the brain—has been an intense topic of research in cognitive neuroscience for the past 40 years. A recent line of neuroimaging research from my lab has produced highly detailed, high-dimensional functional maps of modal and amodal (or multimodal) semantic representations in individual participants. Based on these findings, we propose a new Distributed Conceptual Network (DCN) theory that encompasses previous theories and accounts for recent data. The DCN theory holds that conceptual representations in the human brain are distributed across multiple modal sensory networks and (at least) one distributed amodal (or multimodal) conceptual network. Information from the modal sensory networks interfaces with the amodal network through a set of parallel semantically-selective channels. The amodal network is also influenced by information stored in long-term memory, which enters the network via the ATL. Finally, executive functions such as selective attention modulate conceptual representations depending on current behavioral goals and plans. We propose that the distributed conceptual system may be the scaffold for conscious experience and working memory, and that it subserves many diverse cognitive functions.
Jack Gallant is the Class of 1940 Chair at the University of California at Berkeley. He holds appointments in the Departments of Psychology and Electrical Engineering and Computer Science, and is a member of the programs in Neuroscience, Vision Science, Bioengineering and Biophysics. He is a senior member of the IEEE, and served as the 2022 Chair of the IEEE Brain Community. Professor Gallant's research focuses on high-resolution functional mapping and quantitative computational modeling of human brain networks. His lab has created the most detailed current functional maps of human brain networks mediating vision, language comprehension and navigation, and they have used these maps to decode and reconstruct perceptual experiences directly from brain activity. Further information about ongoing work in the Gallant lab, links to talks and papers and links to online interactive brain viewers can be found at http://gallantlab.org.