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SUMMARY:Rutgers Brain Health Institute Chalk Talk: Jaclyn Eisdorfer\, PhD
DESCRIPTION:“AI-Driven Behavior and Circuit Dissection of Motor Dysfunction and Recovery After Spinal Cord Injury”\nSpeaker: Jaclyn Eisdorfer\, PhD\nDepartment of Cell Biology & Neuroscience\, School of Arts and Sciences\, Rutgers University \nDate and Time: Friday\, August 28\, 2026\, 10:00 – 11:00 AM \nIn-person: CABM Room 010 \nZoom Meeting Link: https://rutgers.zoom.us/j/99079242791?pwd=KcaB2DdVZhePWOErkDU8LT2aVk1DVb.1 \nHosted by Department of Neurosurgery and Rutgers Brain Health Institute (BHI)
URL:https://brainhealthinstitute.rutgers.edu/event/rutgers-brain-health-institute-chalk-talk-jaclyn-eisdorfer-phd/
ATTACH;FMTTYPE=image/png:https://brainhealthinstitute.rutgers.edu/wp-content/uploads/2026/08/Jaclyn-Eisdorfer_Chalk-Talk_0828.png
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SUMMARY:Rutgers Network Neuroscience Interest Group: Kayson Fakhar\, PhD (Queens' College\, University of Cambridge)
DESCRIPTION:“Human cortical networks trade communication efficiency for computational reliability”\nSpeaker: Kayson Fakhar\, PhD\nPostdoctoral Researcher\nQueens’ College\, University of Cambridge \nDate and Time: Friday\, August 28 at 1:00 PM \nZoom link: https://rutgers.zoom.us/my/lp756?pwd=Y3Q1NTNGTFJibHpYcUUwYUNaaFg5UT09\nIn-Person: SRB seminar room \nSummary: Brains are often described as cost-efficient communication networks\, optimally balancing the cost of long connections with the benefits of fast communication. Here\, inspired by the “use it or lose it” principle\, we present a novel game-theoretic model of self-organizing neural units and show that the brain is\, in fact\, sub-optimal in both regards: First\, we demonstrate that regional competition for connectivity under propagative communication dynamics naturally gives rise to network configurations similar to those derived from the human cortex while being even more efficient and economical. Next\, we use a reservoir computing framework to compare the information processing capacity of these networks against those of the brain. Although comparable in performance\, the more optimal trade-off comes with a tax on computational reliability. Through synthetic lesions\, we show that these networks are fragile because\, to optimize for communication\, they funnel information through a spatially clustered “oligarchy” comprising a tight set of transmodal hubs. In contrast\, the human brain uses a more distributed “rich club” backbone that better resists breakdown following targeted attacks\, even when it means higher wiring costs and less efficient communication. This reveals a previously overlooked principle: cortical networks trade both cost and efficiency for reliable computation. Thus\, our findings highlight computational reliability as another\, and even more prominent driver of brain connectivity compared to wiring cost and communication efficiency.
URL:https://brainhealthinstitute.rutgers.edu/event/rutgers-network-neuroscience-interest-group-kayson-fakhar-phd-queens-college-university-of-cambridge/
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