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UID:20260219T1517Z-1771514266.047-EO-26021-1@10.73.9.33
STATUS:CONFIRMED
DTSTAMP:20260710T091955Z
CREATED:20260219T151028Z
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DTSTART;TZID=America/Chicago:20260326T113000
DTEND;TZID=America/Chicago:20260326T123000
SUMMARY: Special Seminar: Hanchuan Peng\, PhD (Fudan University)
DESCRIPTION: Single Cell Resolution Connectomes of Mammalian Brains Hanchua
 n Peng\, PhD Dean\, Professor\, Doctoral Supervisor Fudan University Brain 
 Intelligence Research Institute “In this talk\, I will discuss several appr
 oaches we have recently developed for reconstructing mammalian brain connec
 tomes at single cell resolution. Conventional approaches to this problem ar
 e fundamentally constrained by multiple factors\, including the extreme […]
X-ALT-DESC;FMTTYPE=text/html: <h3><span data-teams="true"><img class="align
 right" src="https://ibi.braintell.org/team/faculty/peng-hanchuan/avatar.png
 " width="194" height="263" /></span></h3><h3><span data-teams="true">Single
  Cell Resolution Connectomes of Mammalian Brains</span></h3><p><a href="htt
 ps://ibi.braintell.org/#/cn/faculty/peng-hanchuan">Hanchuan Peng\, PhD</a><
 br />Dean\, Professor\, Doctoral Supervisor<br />Fudan University Brain Int
 elligence Research Institute</p><p>"In this talk\, I will discuss several a
 pproaches we have recently developed for reconstructing mammalian brain con
 nectomes at single cell resolution. Conventional approaches to this problem
  are fundamentally constrained by multiple factors\, including the extreme 
 disparity in scale between whole brains and individual neurons\, the struct
 ural complexity of neuronal arborization and long range projections\, the d
 ense and intricate wiring between neuron pairs\, and substantial challenges
  in sample preparation\, imaging and data acquisition. Additional difficult
 ies arise from data management\, large scale processing\, and downstream an
 alysis. Our approach instead explores the separability of neuronal classes 
 and the underlying principles that enable such separation. In particular\, 
 we introduce two dimension increasing techniques that enhance the distingui
 shability of neuronal classes based on their long range axonal connectivity
  patterns and local dendritic microenvironments. We tested this framework u
 sing whole mouse brain scale single neuron reconstructions. We further deve
 loped statistical methods that support brain-wide reconstruction of single-
 neuron connectomes and the classification of post-synaptic wiring patterns 
 across major neuron types. If time permits I would also describe ongoing ef
 forts to extend and validate this approach in human brain datasets."</p><p>
 Dr. Hanchuan Peng is a leading computational neuroscientist internationally
  recognized for his contributions to large-scale brain mapping\, neuroinfor
 matics\, and intelligent bioimage analysis. He is currently active as a sen
 ior research leader in whole-brain cellular reconstruction and data-driven 
 neuroscience\, with long-standing involvement in major international brain 
 initiatives\, including establishing Fudan University's Institute for Brain
  and Intelligence\, the SEU-ALLEN Joint Research Center\, and previous work
  associated with the Allen Institute for Brain Science and Janelia\, HHMI. 
 His research centers on developing scalable computational and AI-based meth
 ods for neuron reconstruction\, morphology quantification\, and cross-modal
  integration of imaging and anatomical data. Peng is the creator of widely 
 used open-source platforms such as Vaa3D\, which continue to evolve to supp
 ort high-throughput\, automated analysis of massive neuroscience datasets. 
 In recent years\, his efforts have increasingly emphasized standardization\
 , reproducibility\, and community-driven data sharing\, helping to enable c
 ollaborative\, brain-wide cell-type characterization and digital atlas cons
 truction at unprecedented scale. Dr. Peng also proposed and led the Big-Neu
 ron Initiative and played a key role in establishing the research field of 
 bioimage informatics</p>
CATEGORIES:Seminar Series
ORGANIZER;CN="Liam Savage":MAILTO:liams@wustl.edu
URL;VALUE=URI:https://neuroscience.wustl.edu/events/event/special-seminar-h
 anchuan-peng-phd-fudan-university/
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TZID:America/Chicago
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TZOFFSETFROM:-0600
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DTSTART:20260308T080000
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