Dr. techn. Gregor Michael Hörzer
Institut für Kognitionswissenschaft
Tel.: +49 541 969-3361
Fax: +49 541 969-2415
currently: Postdoctoral Researcher, Osnabrück University
2014-2018: PhD studies in Cognitive Science (University of Osnabrück) - specialization: Philosophy of Mind and Cognition
2014: Mag. phil. (equiv. to MA) in Philosophy (University of Graz)
2011: Dr. techn. (equiv. to PhD) in Computer Science (Graz University of Technology) - specialization: Computational Neuroscience
2008: Dipl.-Ing. (equiv. to MSc.) in Telematics (Graz University of Technology) - specialization: Artificial Intelligence, Bio- and Neuroinformatics
2006: BSc. in Telematics (Graz University of Technology)
Gregor M. Hoerzer (2015): Cognitive Naturalism and the Phenomenal Feel (Commentary). Rivista Internazionale di Filosofia e Psicologia 6 (3), doi: 10.4453/rifp.2015.0048, pp. 492-496.
Gregor M. Hoerzer, Robert Legenstein and Wolfgang Maass (2014): Emergence of complex computational structures from chaotic neural networks through reward-modulated Hebbian learning. Cerebral Cortex 24 (3), doi: 10.1093/cercor/bhs348, pp. 677-690.
Stefanie Liebe, Gregor M. Hoerzer, Nikos K. Logothetis and Gregor Rainer (2012): Theta coupling between V4 and prefrontal cortex predicts visual short-term memory performance. Nature Neuroscience 15, doi:10.1038/nn.3038, pp. 456-462.
Gregor M. Hoerzer, Stefanie Liebe, Alois Schloegl, Nikos K. Logothetis and Gregor Rainer (2010): Directed coupling in local field potentials of macaque V4 during visual short-term memory revealed by multivariate autoregressive models. Frontiers in Computational Neuroscience, doi:10.3389/fncom.2010.00014.
Conference and Workshop Contributions
Gregor M. Hoerzer (2018): How to Make a Panpsychist Physicalism Possible (Talk). 10th International Conference of the German Society for Analytic Philosophy (GAP.10), Cologne, Germany.
Gregor M. Hoerzer (2015): Zombies threaten the Contingency of Physicalism and Dualism (Talk). 9th International Conference of the German Society for Analytic Philosophy (GAP.9), Osnabrueck, Germany.
Gregor M. Hoerzer, Robert Legenstein and Wolfgang Maass (2011): Eliminating the Teacher in Reservoir Computing (Talk, presented by Robert Legenstein). 2nd International Conference on Morphological Computation (ICMC), Venice, Italy.
Stefanie Liebe, Gregor M. Hoerzer, Nikos K. Logothetis and Gregor Rainer (2011): Long range coupling in theta between V4 and prefrontal cortex predicts visual memory performance (Poster). Computational and Systems Neuroscience Conference (COSYNE), Salt Lake City, USA.
Gregor M. Hoerzer (2010): Reward-modulated Hebbian Learning is able to induce Coherent Patters of Activity and Simple Memory Functions in initially Chaotic Recurrent Neural Networks (Talk and Poster)
Workshop on Cognitive and Neural Models for Automated Processing of Speech and Text (CONAS), Ghent, Belgium.
Stefanie Liebe, Gregor M. Hoerzer, Nikos K. Logothetis and Gregor Rainer (2010): Oscillatory neuronal synchronization between prefrontal and extrastriate visual cortex during visual memory (Poster)
Annual Meeting of the Society for Neuroscience, San Diego, USA.
Stefanie Liebe, Gregor M. Hoerzer, Nikos K. Logothetis, Wolfgang Maass and Gregor Rainer (2009): Long Range Coupling between V4 and PF in Theta Band during Visual Short-Term Memory (Poster).
Annual Meeting of the Society for Neuroscience, Chicago, USA.
Gregor M. Hoerzer (2018): Understanding Physicalism. Doctoral thesis, Institute of Cognitive Science, Osnabrück University. (Unpublished Manuscript)
Gregor M. Hoerzer (2014): On the Relation of Reasons and Causes. A Critical Discussion of Donald Davidson's Theory of Action within the Context of his Anomalous Monism. Diploma thesis, Institute for Philosophy, University of Graz.
Gregor M. Hoerzer (2011): Analysis of Neural Data and Models of Neural Networks related to Working Memory. Doctoral thesis, Institute for Theoretical Computer Science, Graz University of Technology.
Gregor M. Hoerzer (2008): Extraction of Information about the Behavioral State of Monkeys from Neuronal Recordings with Methods from Machine Learning. Master's thesis, Institute for Theoretical Computer Science, Graz University of Technology.