Welcome

Plenary lecture: Towards a complete description of the circuitry underlying sharp wave-mediated memory replay

Speaker: Ivan Soltesz 

Parallel sessions

1A: Developing data-driven models of synapses and neurons

1B: Brain imaging standards and best practices

Session 1A: Dendritic contributions to complex functions: insights from computational modeling

Speaker: Yiota Poirazi 

Session 1B: Towards a robust data organization scheme for neuroimaging: the Brain Imaging Data Structure

Speaker: Russ Poldrack 

Session 1A: Investigator presentation

Speaker: Samantha Esteves

Session 1B: Investigator presentation

Speaker: Thomas Close

Session 1A: From photon to pipette: optical and electrophysiological tools for studying intact neural circuits

Speaker: Simon Schultz 

Session 1B: Tools and standards to make neuroimaging derived data reusable

Speaker: Camille Maumet 

Discussions both sessions

LUNCH

Plenary lecture: Reproducibility and rigor in computational neuroscience: testing the data driven model

Speaker: Sharon Crook 

Parallel sessions

2A: Standardization in multiscale modeling - connecting the levels

2B: Can we harmonize metadata

Session 2A: From neural recordings to subcellular neuronal computation.

Speaker: Upinder Bhalla 

Session 2B: Accelerating biomedical discovery with FAIR

Speaker: Michel Dumontier 

Session 2A: Investigator presentation

Speaker: Jason Sherfey

Session 2B: Investigator presentation

Speaker: Jeffrey Grethe

Session 2A: Investigator presentation

Speaker: Simen Tennøe

Session 2B: Harmonizing clinical trial metadata to accelerate reverse translation

Speaker: Nolan Nichols 

Discussions both sessions

COFFEE BREAK

Business panel: potential market growth areas and synergies as well as bottlenecks or unseized opportunities

Speaker: Richard Gold  , Christian Dansereau  , Misha Benjamin  , Graeme Moffat  , Randy McIntosh  , Sonia Israel  ,

Poster presentation and reception

Neuroinformatics social

Canadian node presentation

Plenary lecture: Bridging the gap between brains, cognition and deep learning

Speaker: Yoshua Bengio 

Parallel sessions

3A: Computational infrastructure for neuroscience: automation / pipelines

3B: Machine learning in neuroscience

Session 3A: High-Dimensional Geometry of the Cortical Population Code as Revealed by 10,000-Cell Recordings

Speaker: Kenneth Harris 

Session 3B: TBA

Speaker: Adriana Romero Soriano 

Session 3A: Investigator presentation

Speaker: Christian Garbers

Session 3B: Investigator presentation

Speaker: Pamela Douglas

Session 3A: Open science and reproducible research on Jupyter

Speaker: Fernando Perez 

Session 3B: Towards psychoinformatics with machine learning and brain imaging

Speaker: Gael Varoquaux 

Discussions both sessions

LUNCH

Plenary lecture: Cerebral Cortex Connectomics

Speaker: Moritz Helmstaedter 

Parallel sessions

4A: Building a framework for understanding circuit function

4B: Reproducible neuroscience + open science

Session 4A: Relating circuit dynamics to computation: robustness and dimension-specific computation in cortical dynamics

Speaker: Shaul Druckmann 

Session 4B: Dealing with clinical heterogeneity in the discovery of new biomarkers of Alzheimer’s disease

Speaker: Pierre Bellec 

Session 4A: Investigator presentation

Speaker: Ben Dichter

Session 4B: Investigator presentation

Speaker: Michael Riedel

Session 4A: Cortical representation of natural stimuli

Speaker: Tatyana Sharpee 

Session 4B: Improving reproducibility and reuse in computational and systems neuroscience

Speaker: Andrew Davison 

Discussions both sessions

COFFEE BREAK

Global neuroinformatics

Discussions

Poster presentation and reception