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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260804T120000
DTEND;TZID=America/New_York:20260804T130000
DTSTAMP:20260915T140904
CREATED:20260730T051016Z
LAST-MODIFIED:20260730T051016Z
UID:9981-1785844800-1785848400@www.brainhealthinstitute.rutgers.edu
SUMMARY:Neuroscience Seminar Series for Rising Scholars (Hybrid): Jeffrey Luci\, PhD
DESCRIPTION:“Arterial Spin Labeling and Perfusion Mapping Techniques\, An Overview”\nSpeaker: Jeffrey Luci\, PhD\nResearch Assistant Professor and CAHBIR Technical Director \nDate and Time: Tuesday\, August 4\, 2026\, 12:00 PM \nIn-Person: Room 127\, Staged Research Building (SRB)\, Busch Campus \nJoin via Zoom: Please email the host\, Dr. Noelle Stiles (noelle.stiles@rutgers.edu)\, or check the CAHBIR Slack #General thread for the link \nAbstract: Dr. Jeffrey Luci will provide an introduction to MR-based Arterial Spin Labeling\, how the technique has evolved\, and what the current state of the field is. Dr. Luci will provide real-world examples\, sample datasets\, and processing code to help understand the basics.
URL:https://www.brainhealthinstitute.rutgers.edu/event/neuroscience-seminar-series-for-rising-scholars-hybrid-jeffrey-luci-phd/
ATTACH;FMTTYPE=image/png:https://www.brainhealthinstitute.rutgers.edu/wp-content/uploads/2026/07/Neuroscience-Seminar-Series-for-Rising-Scholars_Aug-4_Jeffrey-Luci.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260824T120000
DTEND;TZID=America/New_York:20260824T130000
DTSTAMP:20260915T140904
CREATED:20260818T055252Z
LAST-MODIFIED:20260818T055252Z
UID:10278-1787572800-1787576400@www.brainhealthinstitute.rutgers.edu
SUMMARY:Neuroscience Seminar Series for Rising Scholars (Hybrid): Ahmad Beyh\, PhD (PI: Linden Parkes\, PhD)
DESCRIPTION:“Geometric constraints and cognitive inputs jointly shape emergent brain dynamics and topology”\nSpeaker: Ahmad Beyh\, PhD\nPostdoctoral Fellow\nPI: Linden Parkes\, PhD \nDate and Time: Monday\, August 24\, 2026\, 12:00 PM \nIn-Person: Room 127\, Staged Research Building (SRB)\, Busch Campus \nJoin via Zoom: Please email the host\, Dr. Noelle Stiles (noelle.stiles@rutgers.edu)\, or check the CAHBIR Slack #General thread for the link \nAbstract: How the brain’s physical geometry gives rise to its flexible functional repertoire remains a central question in neuroscience. Here\, we trained three classes of recurrent neural networks (RNNs) on a working-memory task\, forming a graded hierarchy of spatial constraints: Vanilla RNNs (no spatial constraints)\, Masked RNNs (projection constraints limiting where information enters and leaves the network)\, and biophysical RNNs (bioRNNs; projection constraints and spatial embedding of the networks’ connectivity using the brain’s inter-regional Euclidean geometry). We assessed how well each RNN class predicted empirical fMRI activity without exposing them to it during training. Our results showed that bioRNNs were the only networks to successfully predict empirical brain activity and to organize their dynamics into a spatial pattern that recapitulated the brain’s principal hierarchy (the sensorimotor–association axis). Additionally\, bioRNNs’ ability to predict empirical brain activity emerged along a trajectory in which geometry was laid down first\, then partly traded back as the task was mastered. Importantly\, brain-like topological features emerged in bioRNNs as they increased their task proficiency while maintaining their ability to predict brain activity. Taken together\, our results indicate that physical geometry and cognitive inputs play distinct\, complementary roles: while geometry constrains the space of possible brain dynamics\, cognitive inputs determine which dynamics are expressed. They also situate topology as the scaffold through which the physically embedded brain reconciles wiring costs and computational demands.
URL:https://www.brainhealthinstitute.rutgers.edu/event/neuroscience-seminar-series-for-rising-scholars-hybrid-ahmad-beyh-phd-pi-linden-parkes-phd/
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260826T100000
DTEND;TZID=America/New_York:20260826T110000
DTSTAMP:20260915T140904
CREATED:20260709T050724Z
LAST-MODIFIED:20260709T050724Z
UID:9688-1787738400-1787742000@www.brainhealthinstitute.rutgers.edu
SUMMARY:Center for NeuroMetabolism Special Seminar: Xiao Wang\, PhD (University of Pennsylvania)
DESCRIPTION:“Therapeutic Gene Editing for Metabolic Diseases: Toward a Platform for In Vivo Corrective Editing”\nGuest Speaker: Xiao Wang\, PhD \nAssistant Professor\, University of Pennsylvania \nDate and Time: Wednesday\, August 26\, 2026\, 10-11 AM EST \nLocation: CHI 3209\, 89 French Street\, New Brunswick \nZoom: https://rutgers.zoom.us/j/91458902759?pwd=77Ogzh9wNBdGQkWy9UmX0w1yZ4c9BI.1 \nMeeting ID: 914 5890 2759  |  Password: 053942 \nHosted by: Zhiping Pang\, MD\, PhD \nDirector\, Center for NeuroMetabolism
URL:https://www.brainhealthinstitute.rutgers.edu/event/center-for-neurometabolism-special-seminar-xiao-wang-phd-university-of-pennsylvania/
LOCATION:CHI 3209\, 89 French Street\, New Brunswick
ATTACH;FMTTYPE=image/png:https://www.brainhealthinstitute.rutgers.edu/wp-content/uploads/2026/07/FLYER-Seminar-Xiao-Wang-Aug-26.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260827T140000
DTEND;TZID=America/New_York:20260827T150000
DTSTAMP:20260915T140904
CREATED:20260809T060940Z
LAST-MODIFIED:20260809T060940Z
UID:10135-1787839200-1787842800@www.brainhealthinstitute.rutgers.edu
SUMMARY:Rutgers Brain Health Institute Hybrid Seminar: 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: Thursday\, August 27\, 2026\, 2:00 – 3:00 PM \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://www.brainhealthinstitute.rutgers.edu/event/rutgers-brain-health-institute-hybrid-seminar-jaclyn-eisdorfer-phd/
ATTACH;FMTTYPE=image/png:https://www.brainhealthinstitute.rutgers.edu/wp-content/uploads/2026/08/Jaclyn-Eisdorfer_Candidate-Seminar_0827.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260828T100000
DTEND;TZID=America/New_York:20260828T110000
DTSTAMP:20260915T140904
CREATED:20260809T061100Z
LAST-MODIFIED:20260809T062703Z
UID:10138-1787911200-1787914800@www.brainhealthinstitute.rutgers.edu
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://www.brainhealthinstitute.rutgers.edu/event/rutgers-brain-health-institute-chalk-talk-jaclyn-eisdorfer-phd/
ATTACH;FMTTYPE=image/png:https://www.brainhealthinstitute.rutgers.edu/wp-content/uploads/2026/08/Jaclyn-Eisdorfer_Chalk-Talk_0828.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260828T130000
DTEND;TZID=America/New_York:20260828T140000
DTSTAMP:20260915T140904
CREATED:20260824T075519Z
LAST-MODIFIED:20260824T075519Z
UID:10320-1787922000-1787925600@www.brainhealthinstitute.rutgers.edu
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://www.brainhealthinstitute.rutgers.edu/event/rutgers-network-neuroscience-interest-group-kayson-fakhar-phd-queens-college-university-of-cambridge/
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