Alexander Woodward



Keynote lecture
Brain Atlasing and Databasing in the Brain/MINDS Project

Japan’s Brain/MINDS project is a ten-year project that started in 2014 with a main goal to map the structure and function of the common marmoset brain (Callithrix jacchus) and connect this to human brain disease. (more…)

Andrzej Cichocki

Skolkovo Institute of Science and Technology, Moscow 
and Artificial Intelligence project, Riken


Plenary lecture
Machine learning and tensor networks and their applications, in brain computer interface, neurofeedback and recognition of human emotions

Tensor decomposition (TD) and their generalizations tensor networks (TNs) are promising, and emerging tools in Machine Learning (ML), Big Data Analysis (BDA) and Deep Learning (DL). (more…)

Ariel Rokem

University of Washington


Keynote lecture
Training in the era of brain observatories: data science education and collaboration

Over the course of the last decade, neuroscience has gained access to massive new datasets through concerted data collection and data sharing efforts. While this data presents tremendous opportunities to unlock the mysteries of the brain, it also presents new challenges that arise from the difficulties that researchers encounter when they attempt to manage, store, analyze and understand it. (more…)

Carole Goble

University of Manchester


Plenary lecture
FAIRy stories: tales from building the FAIR Research Commons

Findable Accessable Interoperable Reusable. The “FAIR Principles” for research data, software, computational workflows, scripts, or any kind of Research Object is a mantra; a method; a meme; a myth; a mystery. For the past 15 years I have been working on FAIR in a range of projects and initiatives in the Life Sciences as we try to build the FAIR Research Commons. (more…)

Daniel Margulies



Keynote lecture
Converging spaces of the human connectome

The structure and connectivity of the cerebral cortex describe distinct spaces of cortical organization. However, recent approaches for low-dimensional representation of the connectome reveal a principal axis that converges with cortical geometry, as well as various other features of cortical specialization.


Frances Skinner

University of Toronto


Plenary lecture
Theta rhythms in the hippocampus – being clear and open

Oscillatory activities are a ubiquitous feature of brain recordings and likely form part of the neural code. The multi-scale nature of brain dynamics makes it extremely challenging to obtain a cellular-based understanding of these activities. (more…)

Henry Kennedy



Plenary lecture
Specifics of the primate connectome

Increasingly the mouse is being investigated as a model system in neuroscience. However, comparisons of the primate and rodent connectome reveals important differences suggesting that the mouse might have limited utility for understanding the human brain.

Jan Bjaalie

University of Oslo


Keynote lecture
A user-driven data sharing and data management infrastructure for neuroscience

The EU Human Brain Project has established a large-scale data sharing and data management infrastructure, providing the backbone for data distribution, sharing and searching, through the publicly accessible HBP Knowledge Graph Search. (more…)

Jaroslaw Zygierewicz

University of Warsaw


Keynote lecture
Training in neuroinformatics from the bachelor’s level at FUW

Traditionally people working in neuroinformatics have their educational background in various fields, such as biology, physics, informatics, math. In 2008 at the Faculty of Physics University of Warsaw we started a curriculum that trains students in a multidisciplinary way, starting from the undergraduate level. (more…)

Kirstie Whitaker

University of Cambridge


Keynote lecture
10 simple rules for running an open and inclusive projects online

There are many reasons why open source projects have difficulty attracting contributors. Current academic incentive structures are some of the strongest. (more…)

Maureen Clerc



Keynote lecture
Towards personalized brain-computer interfaces

In the early days of Brain-Computer Interfaces, the same processing was universally applied, leading to categorize some users as BCI-illiterate if they obtained poor performance. It is now acknowledged that one-size-fits-all BCI are not appropriate, and that on the contrary, they must be adapted to the user. (more…)

Michael Hawrylycz

Allen Institute for Brain Science


Keynote lecture
Community resources for single cell and cell type data in the brain

The goal of the NIH’s BRAIN Initiative Cell Census Network (BICCN) project is to build comprehensive three-dimensional common reference brain cell atlases that integrate molecular, anatomical, and functional data describing cell types in mouse, human, and non-human primate brains. (more…)

Naomi Penfold

ASAPbio (Accelerating Science and Publication in Biology)


Keynote lecture
Preprinting for neuroinformatics: where are we at?

Preprints in biology have gained incredible momentum over the last few years, with over 2,000 now being posted each month. But, in the context of all published papers, these numbers are still tiny: the rate of preprint posting is <3% of the research that is indexed by PubMed. (more…)

Rafal Bogacz

University of Oxford


Keynote lecture
Computational models of decision making: a bridge between behavioural data and neurobiology

Over the last 2 decades, computational models played an important role in understanding the neural bases of decision making. They described the key computations occurring during a choice process, and helped identify how the observed behaviour arises from the underlying neurobiology. (more…)

Upinder Bhalla

National Centre for Biological Sciences


Keynote lecture
SANKET: The Signaling and Neurophysiology Knowledge-resource for Experiments and Theory

Complex multiscale signaling underlies many aspects of neural function in health and disease. The SANKET consortium (Sanket means Signal in Sanskrit) brings together researchers who address neural function at multiple scales. SANKET links together key tools, data resources, a portal, and several consortium projects. The tools include MOOSE for simulations, FINDSIM for structuring experiment definitions, and HOSS to perform optimization.


William Grisham



Keynote lecture
Preparing students and a workforce for the big data tsunami: summary of recommendations from the iNEURO project workshop

The iNeuro Workshop convened stakeholders from a variety of disciplines and perspectives to determine what the workforce of the future will look like in Neuroinformatics and what curricula would prepare them for their roles. (more…)