Martin A. Giese (born 21 June 1966) is a German theoretical
neuroscientist and
biomedical engineer. He is full professor at the
University of Tübingen and head of the Section Computational Sensomotorics at the Hertie Institute for Clinical Brain Research (HIH)[1] as well as at the Centre for Integrative Neuroscience (CIN), since 2008.[2]
Giese's research focuses on neural mechanisms of the recognition of body movements and social perception, and specifically on the development of neural models. In addition, he works on computational methods for the analysis and representation of body and facial movements and technical applications, including
computer animation, and applications in
neurology and
psychiatry. He works closely with physiologists and
functional imaging experts studying cortical representations for the processing of social signals and motor behavior. In addition, his group works on the development of behavioral markers for neurological movement disorders and other applications, e.g., in psychiatry.[4]
Awards
Junior Research Group funded by Volkswagen Foundation, 2001[5]
Grants from the Human Frontiers Science Foundation (HFSP), 2004 and 2016[6][7]
Synergy Grant from the European Research Council, 2019[8]
Publications
N. Taubert, M. Stettler, R. Siebert, S. Spadacenta, L. Sting, P. Dicke et al., M.A. Giese, Shape-invariant encoding of dynamic primate facial expressions in human perception. eLife 10:e61197, 2021.[9]
L. Fedorov, D. Chang, M.A. Giese, H. Bülthoff, S. de la Rosa. Adaptation aftereffects reveal representations for encoding of contingent social actions. PNAS 115(29), 7515–7520, 2018.[10]
B. Li, J.P. Virtanen, A. Oeltermann, C. Schwarz, M.A. Giese, U. Ziemann et al. Lifting the Veil on the Dynamics of Neuronal Activities Evoked by Transcranial Magnetic Stimulation. eLife pii: e30552, 2017.[11]
M.A. Giese. Face Recognition: Canonical Mechanisms at Multiple Timescales. Curr Biol. 534–537, 26(13), 2016.[12]
A. Mukovskiy, C. Vassallo, M. Naveau, O. Stasse, P. Souères, M.A. Giese. Adaptive synthesis of dynamically feasible full-body movements for the humanoid robot HRP-2 by flexible combination of learned dynamic movement primitives. Robotics and Autonomous Systems, 91, 270, 2017.[13]
M.A. Giese, G. Rizzolatti. Neural and Computational Mechanisms of Action Processing: Interaction between Visual and Motor Representations. Neuron 167–180, 88(1), 2015.[14]
V. Caggiano, F. Fleischer, J.K. Pomper, M.A. Giese*, P. Thier*. Mirror Neurons in Monkey Premotor Area F5 Show Tuning for Critical Features of Visual Causality Perception. Curr Biol. 26(22):3077–3082, 2016 Nov 21. DOI: 10.1016/j.cub.2016.10.007. Epub 2016 Nov 3. PMID 27818177.[15]
D.A. Leopold, I.V. Bondar, M.A. Giese. Norm-based face encoding by single neurons in the monkey inferotemporal cortex. Nature 442(7102):572-5, 2006 Aug 3. DOI: 10.1038/nature04951. Epub 2006 Jul 5. PMID 16862123.[16]
M.A. Giese, T. Poggio. Neural mechanisms for the recognition of biological movements. Nature Rev Neurosci 4(3):179-92, 2003, Mar. DOI: 10.1038/nrn1057. PMID 12612631.[17]
Martin A. Giese (born 21 June 1966) is a German theoretical
neuroscientist and
biomedical engineer. He is full professor at the
University of Tübingen and head of the Section Computational Sensomotorics at the Hertie Institute for Clinical Brain Research (HIH)[1] as well as at the Centre for Integrative Neuroscience (CIN), since 2008.[2]
Giese's research focuses on neural mechanisms of the recognition of body movements and social perception, and specifically on the development of neural models. In addition, he works on computational methods for the analysis and representation of body and facial movements and technical applications, including
computer animation, and applications in
neurology and
psychiatry. He works closely with physiologists and
functional imaging experts studying cortical representations for the processing of social signals and motor behavior. In addition, his group works on the development of behavioral markers for neurological movement disorders and other applications, e.g., in psychiatry.[4]
Awards
Junior Research Group funded by Volkswagen Foundation, 2001[5]
Grants from the Human Frontiers Science Foundation (HFSP), 2004 and 2016[6][7]
Synergy Grant from the European Research Council, 2019[8]
Publications
N. Taubert, M. Stettler, R. Siebert, S. Spadacenta, L. Sting, P. Dicke et al., M.A. Giese, Shape-invariant encoding of dynamic primate facial expressions in human perception. eLife 10:e61197, 2021.[9]
L. Fedorov, D. Chang, M.A. Giese, H. Bülthoff, S. de la Rosa. Adaptation aftereffects reveal representations for encoding of contingent social actions. PNAS 115(29), 7515–7520, 2018.[10]
B. Li, J.P. Virtanen, A. Oeltermann, C. Schwarz, M.A. Giese, U. Ziemann et al. Lifting the Veil on the Dynamics of Neuronal Activities Evoked by Transcranial Magnetic Stimulation. eLife pii: e30552, 2017.[11]
M.A. Giese. Face Recognition: Canonical Mechanisms at Multiple Timescales. Curr Biol. 534–537, 26(13), 2016.[12]
A. Mukovskiy, C. Vassallo, M. Naveau, O. Stasse, P. Souères, M.A. Giese. Adaptive synthesis of dynamically feasible full-body movements for the humanoid robot HRP-2 by flexible combination of learned dynamic movement primitives. Robotics and Autonomous Systems, 91, 270, 2017.[13]
M.A. Giese, G. Rizzolatti. Neural and Computational Mechanisms of Action Processing: Interaction between Visual and Motor Representations. Neuron 167–180, 88(1), 2015.[14]
V. Caggiano, F. Fleischer, J.K. Pomper, M.A. Giese*, P. Thier*. Mirror Neurons in Monkey Premotor Area F5 Show Tuning for Critical Features of Visual Causality Perception. Curr Biol. 26(22):3077–3082, 2016 Nov 21. DOI: 10.1016/j.cub.2016.10.007. Epub 2016 Nov 3. PMID 27818177.[15]
D.A. Leopold, I.V. Bondar, M.A. Giese. Norm-based face encoding by single neurons in the monkey inferotemporal cortex. Nature 442(7102):572-5, 2006 Aug 3. DOI: 10.1038/nature04951. Epub 2006 Jul 5. PMID 16862123.[16]
M.A. Giese, T. Poggio. Neural mechanisms for the recognition of biological movements. Nature Rev Neurosci 4(3):179-92, 2003, Mar. DOI: 10.1038/nrn1057. PMID 12612631.[17]