Publications

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Filters: Author is Daniel Harnack  [Clear All Filters]
2019
Schünemann, M., Rausch, L. - P., Drebitz, E., Harnack, D., Ernst, U. & Kreiter, A. Unexpectedly strong attentional modulation of V1/V2 activity implements a robust, contrastinvariant control mechanism for selective information processing. Bernstein Conference (2019). doi:10.12751/nncn.bc2019.0060PDF icon bccn_Schuenemann_2019.pdf (251.85 KB)
2017
Harnack, D. & Ernst, U. A. Performance-optimization guided distribution of attentional resources. BMC Neuroscience 2017 (2017).PDF icon HarnackErnst_CNS2017.pdf (448.23 KB)
Harnack, D., Laminski, E., Schünemann, M. & Pawelzik, K. Topological causality in dynamical systems. Physical Review Letters 119, 098301, (2017).PDF icon PhysRevLett.119.098301.pdf (899.59 KB)PDF icon topological_causality_KP5_DH11_MS5_EL2_supplement_alt.pdf (731.89 KB)
2016
Harnack, D. & Pawelzik, K. R. On Causality in Dynamical Systems. arXiv (2016). at <https://arxiv.org/abs/1605.02570v1>PDF icon Harnack_2016.pdf (969.54 KB)
Harnack, D. & Ernst, U. Alexander. Self-organization and control of flexible information routing in cortical networks. Bernstein Conference 2016 (2016).PDF icon abstract_harnack_BCCN2016.pdf (15.88 KB)
2015
Harnack, D., Ernst, U. & Pawelzik, K. R. A model for attentional information routing through coherence predicts biased competition and multistable perception. Journal of Neurophysiology 114, 1593-1605 (2015).PDF icon harnack_2015_attentional_information_routing.pdf (1.07 MB)
Lisitsyn, D., Harnack, D. & Ernst, U. A. Probing communicationa through coherence via phase-dependent analysis. Society for Neuroscience (SfN) Annual Meeting (2015).
Lisitsyn, D., Harnack, D. & Ernst, U. A. Probing information routing mechanisms by precisely-timed electrical stimulation pulses: a modelling study. Computational Neuroscience Conference (CNS) 2015, BMC Neuroscience (2015).
Harnack, D., Pawelzik, K. R. & Ernst, U. A. A simplified model for oscillatory population dynamics in visual cortex. Annual Meeting of the German Neuroscience Society 2015 Poster T26-2A (2015).
Harnack, D., Pelko, M., Chaillet, A., Chitour, Y. & van Rossum, M. C. W. Stability of neuronal networks with homeostatic regulation. PLoS Computational Biology (2015). doi:10.1371/journal.pcbi.1004357PDF icon harnack_2015_stability_homeostasis.pdf (881.73 KB)
2014
Lisitsyn, D., Harnack, D. & Ernst, U. Guiding attention: phase-response curve analysis of a communication through coherence model. Bernstein Conference 2014, Frontiers (2014). doi:10.12751/nncn.bc2014.003PDF icon BCCN14posterLisitsyn.pdf (1.86 MB)
Harnack, D., Pawelzik, K. R. & Ernst, U. A. Multistable network dynamics through lateral inhibition: an efficient mechanism for selective information routing. BMC Neuroscience 2014 15 (Suppl1), P165 (2014).
2013
Harnack, D., Ernst, U. A. & Pawelzik, K. R. A dynamic model for selective visual attention predicts information routing. 10th Göttingen Meeting of the German Neuroscience Society T26-6C (2013).
Harnack, D., Ernst, U. A. & Pawelzik, K. R. A dynamic model for selective visual attention predicts information routing. Göttingen Meeting of the German Neuroscience Society 2013 T26-6C (2013).
Harnack, D., Pawelzik, K. R. & Ernst, U. A. A model for selective visual attention predicts information gating and biased competition. Bernstein Conference 2013 (2013). doi:10.12751/nncn.bc2013.0062
Harnack, D., Ernst, U. A. & Pawelzik, K. R. A model for selective visual attention predicts information routing. BMC Neuroscience 2013 14(Suppl.1), P310 (2013).
Harnack, D., Pawelzik, K. R. & Ernst, U. A. A model of selective visual attention predicts biased competition and information routing. ECVP 2013 152 (2013).
2012
Harnack, D., Ernst, U. A. & Pawelzik, K. R. A model for selective visual attention predicts information routing through coherence. Neuroscience New Orleans 724.02 (2012).
2011
Heyken, P., Traschütz, A., Harnack, D., Habekost, B., Kreiter, A., Pawelzik, K. R., Ernst, U. A. & Wegener, D. Transient activation of MT neurons to stimulus velocity changes: experiments and modelling. BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011 (2011). doi:doi: 10.3389/conf.fncom.2011.53.00054
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