MSc & PhD in Theoretical Physics, Universität Dortmund, Germany.

Ingo Bojak studied High Energy Physics at the Universität Dortmund, Germany, and continued this research as postdoc at the CSSM, University of Adelaide, Australia. In 2002 he switched to Computational Neuroscience under the guidance of Prof. David T.J. Liley at Swinburne University of Technology, Hawthorn, Australia, and in 2007 moved to the Donders Centre for Neuroscience, Radboud University Nijmegen Medical Centre, The Netherlands, to work with Prof. Rolf Kötter as senior postdoc and tenure track lecturer. In April 2011 he became a staff member in Birmingham, while maintaining an association with the Donders as Research Fellow.

Dr Bojak has in the past taught courses on computational neuroscience, brain connectivity, physiological modeling, systems theory, biomedical technology, medical imaging and various topics in theoretical physics, at both under- and postgraduate level. In Birmingham he has taught courses in computational neuroscience and advanced computational methods in the CNCR MRes.

PhD students can work on a wide variety of topics all related to the modeling of mesoscopic activity of neural populations. Past topics have included:

• EEG alpha oscillations and fMRI BOLD modulation
• Relay synchrony and Spike-Timing Dependent Plasticity (STDP)
• Modulation of resting human EEG dynamics by NMDA antagonist nitrous oxide
• Simulations of haemodynamic coupling: Evidence for BOLD / EEG co-localization?

Students with either a background in psychology / neuroscience but with an interest in computational and mathematical modeling or a background in physics / applied mathematics but with an interest in neuroscience / neuroimaging are welcome. In the first instance, contact Dr Bojak by email.

ORCID: 0000-0003-1765-3502
ResearcherID: E-9759-2010
Scopus Author ID: 6602776413

The research of Dr Bojak centers on neural population models as a means to bring together complex brain dynamics, realistic anatomy and physiology as well as behavioral and neuroimaging data. He has explored this particularly in research on anaesthesia and the multimodal integration of EEG and fMRI, respectively. He is also interested in the visual system, synaptic plasticity, analyses of cortical networks in health and disease, and the the analysis of electrophysiological data. In future he will attempt to connect existing psychological models of behaviour and function to neuroimaging data through mechanistic models at the neural mass level. His work has also been noted for the use of parallel computing and the striking visualizations of results.

• Associate Editor: Neurocomputing, EPJ Nonlinear Biomedical Physics
• Section Editor for Springer Encyclopedia of Computational Neuroscience
• Member of the Board of Directors (2006-2010): Organization of Computational Neurosciences
• Representative, National Node of the Netherlands (2008, 2010) & UK (2012): International Neuroinformatics Coordinating Facility
• Research Consultant in Anesthesia (2004-2007): Cortical Dynamics Pty. Ltd., BPH Ltd., Australia
• Member: Society for Neuroscience, Dutch Neurofederation (member of FENS), German Physical Society, European Physical Society
• STEM Ambassador

Key publications

1. Trong MN, Bojak I, Knösche TR (2013) Associating Spontaneous with Evoked Activity in a Neural Mass Model of Cat Visual Cortex. NeuroImage 66: 80–87.
2. Viriyopase A, Bojak I, Zeitler M, Gielen S (2012) When Long-Range Zero-Lag Synchronization is Feasible in Cortical Networks. Front Comput Neurosci 6: 49.
3. Schmidt H, Bojak I, Coombes S (2012) Interface Dynamics in Planar Neural Field Models. J Math Neurosci 2: 9.
4. Bojak I, Oostendorp TF, Reid AT, Kötter R (2011) Towards a model-based integration of co-registered electroencephalography / functional magnetic resonance imaging data with realistic neural population meshes. Phil Trans R Soc A 369: 3785-3801.
5. Scheeringa R, Mazaheri A, Bojak I, Norris DG, Kleinschmidt A (2011) Modulation of visually evoked cortical responses by phase of ongoing occipital α oscillations. J Neurosci 31: 3813-3820.
6. Bojak I, Oostendorp TF, Reid AT, Kötter R (2010) Connecting mean field models of neural activity to EEG and fMRI data. Brain Topogr 23: 139-149.
7. Bojak I, Liley DTJ (2010) Axonal velocity distributions in neural field equations. PLoS Comput Biol 6: e1000653.
8. Foster BL, Bojak I, Liley DT (2008) Population based models of cortical drug response: Insights from anaesthesia. Cogn Neurodyn 2: 283-296.
9. Coombes S, Venkov NA, Shiau L, Bojak I, Liley DT, Laing CR (2007) Modeling electrocortical activity through improved local approximations of integral neural field equations. Phys Rev E 76: 051901.
10. Bojak I, Liley DTJ (2005) Modeling the effects of anesthesia on the electroencephalogram. Phys Rev E 71: 041902. 

A full list of publications can be found at http://www.researcherid.com/rid/E-9759-2010.