LABORATORY OF NEUROINFORMATICS

Head: Daniel Krzysztof Wójcik

 

Degrees:

2015 Professor of Biological Sciences, nomination by the President  of the Republic of Poland, Nencki Institute of Experimental Biology, PAS

2008 DSc Habil, theoretical physics, Institute of Physics, PAS

2000 PhD in theoretical physics, University of Warsaw

1996 MSc in physics, University of Warsaw

 

Research trainings:

2004, 2005 Visiting Scientist Ecole Normal Superieure de Lyon, Laboratoire de Physique, France

1993-1993 Summer Student Deutsches Elektronen Synchrotron (DESY ), Hamburg, Germany

 

Professional employments:

2015-present Head of the PhD Studies, Nencki Institute of Experimental Biology, PAS

2011-present Head of the Laboratory of Neuroinformatics, Nencki Institute of Experimental Biology, PAS

2003-present Professor, Nencki Institute of Experimental Biology, PAS

2002-2003 Joseph Ford Fellow, Center for Nonlinear Science, Georgia Institute of Technology, USA

2000-2002 Research Associate, Institute for Physical Science and Technology, University of Maryland, College Park, USA

1996-2003 Research Assistant, Center for Theoretical Physics, PAS

1994-1996 Teaching Assistant, Physics Department, University of Warsaw

 

Honors and fellowships:

2015-2017 Organization for Computational Neuroscience, Director (elected)

2011-2018 Polish Academy of Sciences, Neurobiology Committee, Member (elected)

2011-2015 Polish Society for Neuroscience, Governing Board Member and Treasurer (elected)

2007-2015 International Neuroinformatics Coordinating Facility, Polish Representative at the INCF Governing Board (nominated)

Staff: Sylwia Bednarek, Michał Czerwiński (PhD student), Jakub M. Dzik (PhD student), Natalia Jermakow, Marta Kowalska (PhD student), Piotr Majka, Karolina Sokołowska, Maciej Śmigielski, Władysław Średniawa (PhD student)

Research profile:

The main activity of the group is development of computational tools and models, and  using  them  to  understand  brain  structure  and  function.  We  analyze  and model electrophysiological, behavioral and imaging data from mice, rats, opossums, cats, marmosets, and humans. An important part of our activity is the development of neuroinformatics infrastructure for storage and processing of histological information and creation of histology-based 3D brain atlases from different input sources (http://www.3dbars.org/).



Current research activities

  • development and application of methods to reconstruct brain activity at different scales from various measurements of extracellular potential (LFP, ECoG, MEA), in particular reconstruction of current sources in the human brain from combined SEEG and ECoG recordings;
  • development and application of methods to analyze behavioral data from intelligent animal cages (EcoHab, IntelliCage);
  • development and application of methods to process and integrate multimodal imaging data (MR, histology, tracing, brain atlas data).

 

Selected publications

 

Głąbska  H.,  Chintaluri  H.C.,  Wójcik  D.K.  (2017)  Collection  of  simulated  data  from  a  thalamocortical network model. Neuroinformatics, 15: 1.

 

Puścian A., Łęski S., Kasprowicz G., Winiarski M., Borowska J., Nikolaev T., Boguszewski PM., Lipp H-P., Knapska E. (2016) Eco-HAB– fully automated and ecologically relevant assessment of social impairments in mouse models of autism. eLife doi: 10.7554/eLife.19532.

 

Majka P., Chaplin T.A., Yu Hsin-Hao, Tolpygo A., Mitra P.P., Wójcik D.K., Rosa M.G.P. (2016) Towards a comprehensive atlas of cortical connections in a primate brain: Mapping tracer injection studies of the common marmoset into a reference digital template. J Comp Neurol, 11: 2161-2181.

 

Ness T.V., Chintaluri C., Potworowski J., Łęski S., Głąbska H., Wójcik D.K., Einevoll G.T. (2015) Modelling and analysis of neural electrical potentials recorded in microelectrode arrays (MEAs). Neuroinformatics, 13(4):403-426.

 

Głąbska H., Potworowski J., Łęski S., Wójcik D.K. (2014) Independent components of neural activity carry information on individual populations, PLoS One, 9(8):e105071.