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.
Ingo 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 will start with teaching computational neuroscience in the CN-CR 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:
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EEG alpha oscillations and fMRI BOLD modulation
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Relay synchrony and Spike-Timing Dependent Plasticity (STDP)
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Modulation of resting human EEG dynamics by NMDA antagonist nitrous oxide
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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 Ingo Bojak by email.
The research of Ingo 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. His interest lies in working the interfaces between different established neuroscientific domains. Consequently, he works on a diverse range of topics such as models of simultaneous EEG/fMRI, dynamical bifurcations, pattern generation, drug effects, models of local field potential, brain connectivity, synchrony and learning. His work generally contains a strong computational aspect.
Key publications
1. Frascoli F, van Veen L, Bojak I, Liley DTJ (2011) Metabifurcation analysis of a mean field model of the cortex. Physica D 240: 949-962.
2. Scheeringa R, Mazaheri A, Bojak I, Norris DG, Kleinschmidt A (2010) Modulation of visually evoked cortical responses by phase of ongoing occipital alpha oscillations. J Neurosci 31: 3813-38120.
3. 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.
4. Bojak I, Liley DTJ (2010) Axonal velocity distributions in neural field equations. PLoS Comput Biol 6: e1000653.
5. Bakker R, Schubert D, Levels K, Bezgin G, Bojak I, Kötter R (2009) Classification of cortical microcircuits based on micro-electrode-array data from slices of rat barrel cortex. Neural Netw 22: 1159-1168.
6. Foster BL, Bojak I, Liley DT (2008) Population based models of cortical drug response: Insights from anaesthesia. Cogn Neurodyn 2: 283-296.
7. 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.
8. Bojak I, Liley DTJ (2007) Self-organized 40 Hz synchronization in a physiological theory of EEG. Neurocomput 70: 2085-2090.
9. Liley DTJ, Bojak I (2005) Understanding the transition to seizure by modeling the epileptiform activity of general anaesthetic agents. J Clin Neurophysiol 22: 300-313.
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|