Dr. Dirk Jancke Cognitive Neurobiology - Bernstein-Group

Grabska-Barwinska A, Ng B, Jancke D (2011). Orientation selective or not? - Measuring significance of tuning to a circular parameter. J Neurosci Methods, Epub ahead of print, doi:10.1016/j.jneumeth.2011.08.026
Rothermel M, Ng BS, Grabska-Barwinska A, Hatt H, Jancke D (2011). Nasal chemosensory-stimulation evoked activity patterns in the rat trigeminal ganglion visualized by in vivo -sensitive dye imaging. PLoS ONE 6(10): e26158. doi:10.137/journal.pone.0026158.
Onat S, König P, Jancke D (2011). Natural scene evoked population dynamics across cat primary visual cortex captured with voltage-sensitive dye imaging. Cerebral Cortex 21, 2542-2554.
Onat S, Nortmann N, Rekauzke S, König P, Jancke D (2011). Independent encoding of grating motion across stationary feature maps in primary visual cortex visualized with voltage-sensitive dye imaging. Neuroimage 55, 1763-1770. (link to movie) Epub.
Chavane F, Sharon D, Jancke D, Marre O, Fregnac Y, Grinvald A (2011). Lateral spread of orientation selectivity is controlled by intracortical cooperativity. Front Syst Neurosc 5: 4.
Markounikau V, Igel C, Grinvald A, Jancke D (2010). A dynamic neural field model of mesoscopic cortical activity captured with voltage-sensitive dye imaging. PLoS Comput Biol 6, e1000919.
Ng B, Grabska-Barwinska A, Güntürkün O, Jancke D (2010). Dominant vertical orientation processing without clustered maps: Early visual brain dynamics imaged with voltage-sensitive dye in the pigeon visual wulst. J Neuroscience 30, 6713-6725.
Palagina A, Eysel UT, Jancke D (2009). Strengthening of lateral activation in adult rat visual cortex after retinal lesions captured with voltage-sensitive dye imaging. PNAS 106, 8734-8747. (link for a movie)
Grabska-Barwinska A, Distler C, Hoffmann KP, Jancke D (2009). Contrast independence of cardinal preference: Stable oblique effect in orientation maps of ferret visual cortex. Eur J Neuroscience 29, 1258-1270.
Sharon D, Jancke D, Chavane F, Na'aman, Grinvald A (2007). Cortical response field dynamics in cat visual cortex. Cerebral Cortex 17, 2866-2877. pdf
Jancke D, Chavane F, Na'aman S, Grinvald A (2004). Imaging cortical correlates of illusion in early visual cortex. Nature 428, 423-426. (see movies of the illusion and its cortical correlate)
Jancke D, Erlhagen W, Schöner G,  Dinse HR (2004). Shorter latencies for motion trajectories than for flashes in population responses of primary visual cortex. J Physiol 556: 971-982. pdf
Erlhagen W, Jancke D (2004). The role of action plans and other cognitive factors in motion extrapolation: A modelling study. Visual Cognition 11: 315-340.
Igel C, von Seelen W, Erlhagen W, Jancke D. (2002) Evolving field models for inhibition effects in early vision. Neurocomputing 44-46: 467-472.
Dinse HR, Jancke D (2001) Time-variant processing in V1: From microscopic (single cell) to mesoscopic (population) levels. TINS 24: 203-205.
Igel C, Erlhagen W, Jancke D (2001) Optimization of dynamic neural fields. Neurocomputing 36: 225-233.
Dinse HR, Jancke D (2001). Comparative population analysis of cortical representations in parametric spaces of visual field and skin: A unifying role for nonlinear interactions as a basis for active information processing across modalities. Progress in Brain Research, 130, 155-173.
Jancke D (2000) Orientation formed by a spot's trajectory: A two-dimensional population approach in primary visual cortex.  J Neuroscience 20 RC86: 1-6.  J Neuroscience-online  for a pdf-Version of the manuscript.
Jancke D, Erlhagen W, Dinse HR, Akhavan M, Giese M, Steinhage A, Schöner G (1999) Parametric representation of retinal location: Neural population dynamics and interaction in cat visual cortex. J Neuroscience 19: 9016-9028.
Erlhagen W, Bastian A, Jancke D, Riehle A, Schöner G (1999) The distribution of neuronal population activation (DPA) as a tool to study interaction and integration in cortical representations. J Neuroscience Methods 94: 53-66.
Jancke D, Akhavan AC, Erlhagen W, Giese M, Steinhage A, Schöner G, Dinse HR (1996). Population Coding in Cat Visual Cortex Reveals Nonlinear Interactions as Predicted by a Neural Field model. In: von der Malsburg C, von Seelen W, Vorbrüggen JC, Sendhoff B (eds), Artificial Neural Networks - ICANN 96., Springer: 641-648.