[visionlist] Online workshop "Towards multipurpose neural network models II: Model testing and model fitting"

Anton Arkhipov antona at alleninstitute.org
Mon Sep 13 17:23:19 -04 2021

Dear Colleagues,

Registration is now open for the online workshop
"Towards multipurpose neural network models II: Model testing and model fitting"
organized by Gaute Einevoll (NMBU/University of Oslo) and Anton Arkhipov (Allen Institute, Seattle) and supported by the European Institute for Theoretical Neuroscience (EITN).

Please join us for three days of talks about cutting-edge science by fantastic speakers, as well as panel discussions.

Dates: September 29 – October 1, 2021
Time: 8AM – 12:15PM US Pacific time / 5PM – 9:15PM Central European Time Daily.

Registration: https://cnrs.zoom.us/webinar/register/WN_saMXfg31Roe4tqHbWtTdFg

Please see the agenda below and more details at this web page<https://www.eitn.org/index.php/calendar-event/eventdetail/750/-/workshop-on-towards-multipurpose-neural-network-models-ii-model-testing-and-model-fitting>. We hope to see you there!

Wednesday, September 29, 2021

Gaute Einevoll (NMBU/U. Oslo)

Jacob Macke (U. Tübingen)
Keynote. Simulation-based inference: Bridging the gap between mechanistic models and machine learning.

Aaron Milstein (Rutgers U.)
Nested parallel simulation and multi-objective optimization of neuronal cell and circuit models

Atle Rimehaug (U. Oslo)
Enhancing model constraints by utilizing current source densities

Kristin Tøndel (NMBU)
Facilitating optimization using metamodelling

Frances Skinner (Krembil Brain Institute, University Health Network, and University of Toronto)
Clarity in model development and goals leads to model linkages and biological insights

Panel debate – All participants of the day.

Thursday, September 30, 2021
Anton Arkhipov (Allen Institute)

James DiCarlo (MIT)
Keynote. Reverse Engineering Visual Intelligence

Sharon Crook (Arizona State U.)
Testing the Data-driven Model

Szabolcs Kali (Institute of Experimental Medicine, Budapest, Hungary)
Systematic construction and evaluation of models of rodent hippocampal neurons

Peter Jedlicka (U. Giessen)
Building consistent and robust models of hippocampal granule cells and CA1 pyramidal cells

Stefan Mihalas (Allen Institute)
Computing with a mess: How nonstationary, heterogeneous and noisy components help the brain’s computational power

Panel debate – All participants of the day.

Friday, October 1, 2021
Markus Covert (Stanford)
Special lecture. Simultaneous cross-evaluation of heterogeneous E. coli datasets via mechanistic simulation

Kanaka Rajan (Mount Sinai)
Keynote.  Data-constrained neural network models of adaptive learning in the brain

Julijana Gjorgjeva (Max Planck Institute and TUM)
Biologically plausible learning in developing networks

Carsen Stringer (Janelia)
Rastermap: Extracting structure from high-dimensional neural data

Arvind Kumar (KTH Stockholm)
Structure and activity dynamics relationship in biological neuronal networks: Measurements and models

Panel debate – All participants of the day.

Anton Arkhipov
Associate Investigator
T:   206.548.8414
E: antona at alleninstitute.org<mailto:antona at alleninstitute.org>
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