Events & Training

2020 CNS Workshops

OCNS 2020 Workshops

Scientists from the Allen Institute are hosting workshops at the Organization for Computational Neurosciences (OCNS) 2020 virtual meeting.

Registration for the OCNS virtual meeting is free but required to participate in workshops. Please visit the conference website for more information and to register.

OCNS VIRTUAL MEETING

Open data, tools, and models from the Allen Institute supporting systematic computational studies in neuroscience

The Allen Institute has accumulated a large array of public resources containing data on various aspects of brain structure and activity, mostly focusing on the mouse as an animal model. These resources include databases of transcriptomic, morphological, and electrophysiological properties of neurons; ultrastructural connectivity and synaptic physiology properties within a local circuit; and in vivo neural activity obtained via calcium imaging in genetically-defined cell populations and high-density extracellular electrophysiology using Neuropixels probes. All data are obtained under highly standardized conditions with strict quality controls, providing a unique, multi-faceted description of structural, functional, and computational properties of the mouse brain. In this Workshop, we will discuss these unique open datasets, related software tools, and computational models that start to integrate these diverse data. Presentations will focus on how the community can utilize these resources to support and inform computational and theoretical work.

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July 21-23, 2020
8:00am-12:00pm, Pacific Time
Workshop Reference W6

Workshop Organizers:
Anton Arkhipov (Allen Institute for Brain Science, Seattle, WA)
Saskia de Vries (Allen Institute for Brain Science, Seattle, WA)
Nuno da Costa (Allen Institute for Brain Science, Seattle, WA)

Confirmed Speakers:
Michael Buice (Allen Institute for Brain Science, Seattle, WA)
Forrest Collman (Allen Institute for Brain Science, Seattle, WA)
Eva Dyer (Georgia Tech, Atlanta, GA)
Gaute Einevoll (University of Oslo, Oslo, Norway)
Michael Hawrylycz (Allen Institute for Brain Science, Seattle, WA)
Tim Jarsky (Allen Institute for Brain Science, Seattle, WA)
Jerome Lecoq (Allen Institute for Brain Science, Seattle, WA)
Gabriela Michel (Janelia Research Campus, Ashburn, VA)
Stefan Mihalas (Allen Institute for Brain Science, Seattle, WA)
Lydia Ng (Allen Institute for Brain Science, Seattle, WA)
Blake Richards (McGill University, Montreal, Canada)
Josh Siegle (Allen Institute for Brain Science, Seattle, WA)
Staci Sorensen (Allen Institute for Brain Science, Seattle, WA)
Bosiljka Tasic (Allen Institute for Brain Science, Seattle, WA)
Jennifer Whitesell (Allen Institute for Brain Science, Seattle, WA)
Joel Zylberberg (York University, Toronto, Canada)

Tools and resources for developing and sharing models in computational neuroscience

This workshop will focus on recent advances in software tools for modeling neurons and neuronal networks atdifferent levels of resolution. Neuroscience is experiencing a rapid growth of data streams characterizingcomposition, connectivity, and activity of brain networks in ever increasing details. Data-driven modeling willbe essential to integrate these multimodal and complex data into predictive simulations to advance ourunderstanding of brain function and mechanisms. We will bring together representatives of many teams thatdevelop computational tools aimed at incorporating and simulating this complexity. Major topics for discussionwill include the established and emerging computational approaches for building and simulating networkmodels, advances in enabling increased access to sophisticated modeling for a broad community of users,and sharing and reproducibility of models. These discussions will serve to promote the efficiency,reproducibility, and free exchange of computational models in the community to support advances in manyareas of neuroscience.

View Workshop Github

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July 21-22, 2020
7:00am-12:00pm, Pacific Time
Workshop Reference W4

Workshop Organizers:
Kael Dai (Allen Institute for Brain Science)
Salvador Dura-Bernal (State University of New York - Downstate; NetPyNE)
Padraig Gleeson (University College London; NeuroML/OSB)

Confirmed Speakers:
Anton Arkhipov (Allen Institute for Brain Science; BMTK)
Upi Bhalla (MOOSE)
Luca Bologna (Italian National Research Council (CNR)/Human Brain Project; HBP BSP)
Ted Carnevale (Yale University; ModelDB)
Ben Cummings (ETH Zurich; ARBOR)
Andrew Davison (PyNN)
Lia Eggleston (Yale University; NEURON/ModelDB)
Dan Goodman (Imperial College; Brian)
Salvador Dura-Bernal (State University of New York - Downstate; NetPyNE)
Padraig Gleeson (University College London; NeuroML/OSB)
Pramod Kumbhar (EPFL/Blue Brain Project; coreNEURON)
Aurel Lazar (Columbia University)
Charl Linssen (Jülich Supercomputing Centre; NEST)
Robert McDougal (Yale University; NEURON/ModelDB)
Petra Ritter (Charité)
Serena Thaw-Poon (Yale University; ModelDB)