Past Seminars
CNC Seminars 2024 - 2025
| May 28 | Data Management workshop | |
| May 21 | Denis Turcu, Shanahan Postdoctoral Fellow | An end-to-end model of active electrosensation |
| May 15-16 | CoNectome | |
| May 14 (Location TBD, 12 - 3 PM) | CNC-Allen Institute Spring Hackathon | |
| May 8 (HSB G328, 9:30 AM) | Carl Schoonover, Allen Institute | Experience-dependent reorganization of inhibitory neuron synaptic connectivity |
| April 30 | Olivier Marre, Institut de la Vision | Putting the retina in its natural environment, piece by piece |
| April 16 | Fred Rieke, NBIO | Retinal mechanisms controlling the coding of natural stimuli |
| April 7-8 | Neurodata Without Borders and DANDI workshop | |
| March 19 (HSB G328) | Kayvon Daie, Allen Institute | An optical approach for studying synaptic learning rules in the brain |
| March 5 | Brent Doiron, University of Chicago | Cellular mechanisms for quenching neuronal variability in cortical networks |
| February 12 | Sama Ahmed, University of Washington Psychology | Toward a Structure-Function Mapping in the Fly Auditory System |
| January 29 | Anitha Pasupathy, University of Washington | Wanted: Computational models for neural dynamics during visual behavior |
| November 20 (Foege S060, 12:00pm) | Carl Petersen, Ecole Polytechnique Fédérale de Lausanne | Context- and learning-dependent sensorimotor transformation |
| November 13 (SOCC 354, 12:00pm) | Research Roundtable with Stuber, Bruchas, and Golden labs Short overviews and updates with CNC labs | |
| November 6 (SOCC 354, 12:00pm) | Mariano Gabitto, Assistant Investigator, Allen Institute for Brain Science | Leveraging statistical machine learning models to understand Alzheimer's Disease progression |
| October 23 (SOCC 354, 12:00pm) | Anamika Agrawal, Shanahan Fellow, Allen Institute/UW | “The multi-scale brain: the impact of local structure and dynamics on brain function and dysfunction” |
| October 16 (HSB G417, 12:00pm) | Andreas Neef, Göttingen Campus Institute for Dynamics of Biological Networks | “Cell physiology for network neuroscience” |
| October 9 | Samuele Virgili, Sorbonne University | “Perturbative approach to the retina: Probing feature selectivity of retinal ganglion cells during complex stimulation” |
| October 2 | Nicole Rust, Professor, University of Pennsylvania | “Elusive Cures” |
| September 18 | Peter Dayan, Max Planck Institute | “Tail Risk in Sequential Choice” |
Computational Neuroscience Seminar and Event Series 2023 – 2024
June 26, 2024
Adrian Negrean, Scientist, Allen Institute
“Functional architecture of intracellular oscillations in hippocampal dendrites”
June 5, 2024
Rich Pang, Postdoctoral Fellow, Princeton University
“Mnemonic encoding of extended social communication signals in Drosophila”
May 29, 2024
Eric Denovellis, Research Scientist, UCSF
“Understanding cognitive representations and dynamics through statistical machine learning”
March 27, 2024
Sven Dorkenwald, Shanahan Postdoctoral Fellow, Allen Institute/UW
“MICrONS dataset: Functional connectomics spanning multiple areas of mouse visual cortex”
March 13, 2024
Greg Stephens, Okinawa Institute of Science and Technology
“A Markovian dynamics for C. elegans behavior across scales”
January 17, 2024
Ulises Pereira-Obilinovic, Scientist, Allen Institute for Neural Dynamics
“Dynamics in Networks with Learning Rules Inferred from Data”
October 18
Caroline Runyan, Assistant Professor, Neuroscience, University of Pittsburgh
“Population codes across cortex: Context, inhibition, and signal transmission between areas”
October 16 (12 PM)
William Bialek, Professor, Physics, Princeton
October 10 – 13
NeuroAI in Montreal
September 13
Andy Leifer, Assistant Professor, Neuroscience & Physics, Princeton
“Neural signal propagation atlas of C. elegans”
August 9
Luca Mazzucato, Assistant Professor, Biology and Mathematics, University of Oregon
“Multitasking via baseline control in recurrent neural networks”
July 26
Srdjan Ostojic, École normale supérieure
“The role of sub-population structure in computations through neural dynamics”
Computational Neuroscience Seminar Series 2022 – 2023
All seminars take place in HSB-G328at 1:30 unless otherwise noted.
September 27 – 30
NeuroAI in Seattle meeting
October 26
Ann Kennedy, Assistant Professor, Physiology, Northwestern University
November 2
Robbe Goris, Assistant Professor, Psychology, University of Texas at Austin
November 16
IN-BIC meeting with Alain Destexhe
December 1 (co-hosted with PBIO)
Vince Costa, Assistant Professor, Oregon Health and Science University
January 4
Lucas Sjulson, Assistant Professor, Psychiatry and Neuroscience, Albert Einstein College of Medicine
February 1
Gordon Berman, Assistant Professor, Biology, Emory University
February 15
Carsen Stringer, Group Leader, Janelia Research Campus
February 28 (Tuesday)
Alex Williams, Assistant Professor of Neural Science, NYU and Associate Research Scientist, Center for Computational Neuroscience at Flatiron Institute
March 29
Kiah Hardcastle, Postdoctoral Fellow, Harvard University
April 19
Stefano Fusi, Professor, Neuroscience, Zuckerman Institute at Columbia University
May 3
Kwabena Boahen, Professor, Bioengineering and Electrical Engineering, Stanford University
May 10-11
Neural Computation and Engineering Connection
Computational Neuroscience Seminar Series 2019 – 2020
All seminars take place in HSB-G328at 3:30 unless otherwise noted.
January 22
Pam Reinagel, Associate Professor of Neurobiology, UCSD
“Willingness to work: A neuroeconomic model of rat effort allocation”
February 19
Nicole Rust, Associate Professor of Psychology, University of Pennsylvania
March 4 Postponed
Randy O’Reilly, Professor of Psychology, Computer Science, and the Center for Neuroscience, UC Davis
March 18 Postponed
Sara Solla, Professor of Physiology, Northwestern University
March 31 *HSB T739 Postponed
Matt Botvinick, Director of Neuroscience Research, DeepMind
April 15 Postponed
Jeremiah Cohen, Assistant Professor of Neuroscience, Johns Hopkins University
April 29 Postponed
Odelia Schwartz, Associate Professor of Computer Science, University of Miami
Computational Neuroscience Seminar Series 2018 – 2019
All seminars take place in HSB-G207 at 3:30 unless otherwise noted.
October 22 *9:30 AM
David Kastner, Resident, UCSF
October 24
Anne Collins, Assistant Professor, Helen Wills Neuroscience Institute at UC Berkeley
“Working memory influences reinforcement learning computations in brain and behavior”
December 5
Stephanie Palmer, Assistant Professor, Physics, UChicago
“Understanding vision through the lens of prediction”
December 13 – cohosted with PBIO
Michael Long, Associate Professor, Neuroscience and Physiology, NYU
9:30 AM, HSB G328
April 24
Ann Hermundstad, Group Leader, Janelia
May 15
Carina Curto, Associate Professor, Mathematics, Pennsylvania State
May 22
Uri Hasson, Professor, Neuroscience, Princeton
Computational Neuroscience Seminar Series Spring 2018
All seminars take place in HSB-G207 at 3:30 unless otherwise noted.
April 4
Howard Chizeck, Professor, Electrical Engineering, co-director UW BioRobotics Lab
April 25
CNC Lab Meeting: Pasupathy Lab, Biological Structure
“Encoding visual objects in clutter.”
May 2
Anisha Keshavan, Postdoctoral Fellow, eScience Institute/iLABS
“Leveraging Web Technology to Address Challenges with Big Data in Neuroscience”
May 16
CNC Lab Meeting: Kutz Lab, CSE
“Neurosensory network functionality, adaptation, and robustness: Paradigms for data-driven control”
May 17 – cohosted with PBio Seminar Series
Brent Doiron, Associate Professor, Mathematics, University of Pittsburgh
2018 Swartz Center for Theoretical Neuroscience Visitor
HSB G-328, 9:30 AM
“New Cortex. Who dis(inhibition)?”
May 21 – cohosted with Neuroscience Seminar Series
Anne-Marie Oswald, Assistant Professor, Neuroscience, University of Pittsburgh
2018 Swartz Center for Theoretical Neuroscience Visitor
HSB T-747, 3:30 PM
“Navigating space without a map of Piriform Cortex”
May 23
Kevin Coffey, Postdoctoral Fellow, Pharmacology
“Next-gen Sequencing of TRAP/RiboTag mRNA from Serotonergic Raphe Neurons Identifies a Small Subset of Stress-Sensitive Genes”
May 30
Corinne Teeter, Scientist, Allen Institute for Brain Science
“Defining the building blocks of neural networks: characterizing and classifying neurons using generalized leaky integrate and fire models”