The annual INCF Congress provides a meeting place for researchers in this emerging field.
Neuroinformatics 2016 comes to Reading, UK, on September 3-4, 2016.
Confirmed keynote speakers are:
- Markus Axer (FZ Jülich): "3D-Polarized light imaging – The structural connectome goes microscopic"
- Yanchao Bi (Beijing Normal University): "The functional and neural architecture of object concepts"
- Claudia Clopath (Imperial College, London): "Emergence of subnetworks in plastic recurrent networks"
- Peter Dayan (University College London, London): "Neurocomputational Modeling in Psychiatry"
- Tristan Glatard (McGill University, Montreal): "Web platforms for high-throughput neuroimaging analyses"
- Jeffrey L. Krichmar (University of California Irvine): "Towards a modeling framework for the efficient creation, simulation and analysis of brain functions"
- Nikolaus Kriegeskorte (University of Cambridge, Cambridge): "Deep neural networks: a new framework for modelling brain information processing"
- Helen Mayberg (Emory University, Atlanta, Georgia): "The evolving role for imaging in optimizing treatment for depression"
- Vinod Menon (Stanford School of Medicine): "Typical and atypical development of large-scale brain networks"
- Hanchuan Peng (Allen Institute for Brain Science): "Massive Scale Neuroinformatics"
- Jean-Baptiste Poline (University of California Berkeley): "Data systems"
In addition, there are community and poster/demo sessions.
Submit your abstract by April 30 here.
We welcome researchers in all fields related to neuroinformatics, including data- and knowledge-bases of the nervous system from molecular to behavioral levels; tools for the acquisition, analysis, and visualization of nervous system data; and theoretical, computational, and simulation environments for modeling the brain.
This meeting is especially useful for anyone who is:
- developing neuroscience tools and methods
- working on better ways to handle neuroscience data
- looking for cross-disciplinary collaborations