Prof. Dr. Joachim Haß

Since 2026

Academic Director, School of Psychology, SRH University Heidelberg, Heidelberg Campus

2024 – 2026

Vice Academic Director of Research and Transfer, School of Psychology, SRH University Heidelberg, Heidelberg Campus

2021 – 2024

Vice-Dean for Research, Faculty of Applied Psychology, SRH University of Applied Sciences Heidelberg

Since 2016

Professor at the School of Psychology, SRH University Heidelberg, Heidelberg Campus (formerly SRH University of Applied Sciences Heidelberg, Faculty of Applied Psychology)

Visiting Researcher at the Central Institute for Mental Health Mannheim, Department of Theoretical Neuroscience (Head of Department: Prof. Daniel Durstewitz)

2015

Postdoctoral Researcher at Boston University, Centre for Computational Neuroscience and Neural Technology (Director: Prof. Nancy Kopell)

2010 – 2015

Postdoctoral Researcher at the Central Institute for Mental Health Mannheim and BCCN Heidelberg-Mannheim (Group Leader: Prof. Daniel Durstewitz)

2005 – 2010

Research Associate at the Department of Nonlinear Dynamics, University of Göttingen, BCCN Göttingen, MPI for Dynamics and Self-Organisation (Director: Prof. Theo Geisel)

2009

PhD (Dr. rer. nat.) in Theoretical and Computational Neuroscience, University of Göttingen, Göttingen Graduate School for Neurosciences and Molecular Biosciences (GGNB)

1999 – 2005

Undergraduate degree in Physics, University of Göttingen, Department of Nonlinear Dynamics

• German Physical Society (DPG)
• Bernstein Network for Computational Neuroscience
• 2019 – 2025: Academy College of the Heidelberg Academy of Sciences
• 2012 – 2015: Executive Board of the Bernstein Centre Heidelberg-Mannheim (representative of PhD students and postdocs)

2024

Wallenwein, L. A., Schmidt, S. N., Hass, J., & Mier, D. (2024). Cross-modal decoding of emotional expressions in fMRI—Cross-session and cross-sample replication. Imaging Neuroscience, 2, imag-2.

Ravichandran-Schmidt, P., & Hass, J. (2024). Testing the state-dependent model of subsecond time perception against experimental evidence. eLife, 13.

2023

Mier, D. U., & Hass, J. (2023). Psychology and Physics: A Non-invasive Approach to the Functioning of the Human Mirror Neuron System. In: Schweiker, M., Hass, J., Novokhatko, A., & Halbleib, R. (Eds.). Measurement and Understanding in Science and Humanities: Interdisciplinary Approaches. Wiesbaden: Springer Fachmedien Wiesbaden.

Hass, J. & Halbleib, R. (2023). Brief Presentation of the Contributions. In: Schweiker, M., Hass, J., Novokhatko, A., & Halbleib, R. (Eds.). Measurement and Understanding in Science and Humanities: Interdisciplinary Approaches. Wiesbaden: Springer Fachmedien Wiesbaden.

Hass, J. & Novokhatko, A. (2023). Introduction. In: Schweiker, M., Hass, J., Novokhatko, A., & Halbleib, R. (Eds.). Measurement and Understanding in Science and Humanities: Interdisciplinary Approaches. Wiesbaden: Springer Fachmedien Wiesbaden.

Schweiker, M., Hass, J., Novokhatko, A., & Halbleib, R. (Eds.). (2023) Measurement and Understanding in Science and Humanities: Interdisciplinary Approaches. Wiesbaden: Springer Fachmedien Wiesbaden.

2022

Hass, J., Ardid, S., Sherfey, J., & Kopell, N. (2022). Constraints on persistent activity in a biologically detailed network model of the prefrontal cortex with heterogeneities. Progress in Neurobiology, 215, 102287.

Sadeghi, S., Schmidt, S. N., Mier, D., & Hass, J. (2022). Effective connectivity of the human mirror neuron system during social cognition. Social Cognitive and Affective Neuroscience, 17(8):732–743.

2021

Menke, B. M., Hass, J., Diener, C., & Pöschl, J. (2021). Family-centered music therapy—Empowering premature infants and their primary caregivers through music: Results of a pilot study. PLoS ONE, 16(5), e0250071.

Schmidt, S. N., Hass, J., Kirsch, P., & Mier, D. (2021). The human mirror neuron system—A common neural basis for social cognition?. Psychophysiology, 58(5), e13781.

2020

Sadeghi, S., Mier, D., Gerchen, M. F., Schmidt, S. N., & Hass, J. (2020). Dynamic causal modeling for fMRI with Wilson-Cowan-based neuronal equations. Frontiers in Neuroscience, 14, 593867.

Schmidt SN, Sojer CA, Hass J, Kirsch P, Mier D (2020). fMRI adaptation reveals: The human mirror neuron system discriminates emotional valence. Cortex, 128, 270-280.

Yan Z, Schmidt SN, Frank J, Witt SH, Hass J, Kirsch P, Mier D (2020). Hyperfunctioning of the right posterior superior temporal sulcus in response to neutral facial expressions presents an endophenotype of schizophrenia. Neuropsychopharmacology, https://doi.org/10.1038/s41386-020-0637-8. 

2019  

Ardid S, Sherfey JS, McCarthy MM, Hass J, Pittman-Polletta BR, Kopell N (2019). Biased competition in the absence of input bias revealed through corticostriatal computation. Proceedings of the National Academy of Sciences 116(17):8564-8569.  

2018

Sherfey, J. S., Ardid, S., Hass, J., Hasselmo, M. E., & Kopell, N. J. (2018) Flexible resonance in prefrontal networks with strong feedback inhibition. PLoS Computational Biology 14(8):e1006357.

2017

Mier, D. U., & Hass, J. (2017). Psychologie und Physik – Eine nicht-invasive Annäherung an die Funktionsweise des menschlichen Spiegelneuronensystems. In: Schweiker, M., Hass, J., Novokhatko, A., Halbleib, R. (Hrsg.) (2017). Messen und Verstehen in der Wissenschaft. Springer. ISBN 978-3-658-18353-0.

Hass, J. & Halbleib, R. (2017). Kurzvorstellung der Beiträge. In: Schweiker, M., Hass, J., Novokhatko, A., Halbleib, R. (Hrsg.) (2017). Messen und Verstehen in der Wissenschaft. Springer. ISBN 978-3-658-18353-0.

Hass, J. & Novokhatko, A. (2017). Einleitung. In: Schweiker, M., Hass, J., Novokhatko, A., Halbleib, R. (Hrsg.) (2017). Messen und Verstehen in der Wissenschaft. Springer. ISBN 978-3-658-18353-0.

Schweiker, M., Hass, J., Novokhatko, A., Halbleib, R. (Hrsg.) (2017). Messen und Verstehen in der Wissenschaft. Springer. ISBN 978-3-658-18353-0.

2016

Hass J, D. Durstewitz (2016) A detailed data-driven network model of prefrontal cortex reproduces key features of in vivo activity. PLoS Computational Biology 12:e1004930.

Hass J, Durstewitz D (2016) Time at the center, or time at the side? Assessing current models of time perception. Curr Opinion in Behavioral Sciences 8:238–244.

2014

Hass J, Durstewitz D (2014) Neurocomputational Models of Time Perception. Neurobiology of Interval Timing, Advances in Experimental Medicine and Biology 829:49-71.

2013

Quiroga Lombard CS, Hass J. Durstewitz D (2013) Method for Stationarity-Segmentation of Spike Train Data with Application to the Pearson Cross-Correlation. Journal of Neurophysiology 110:562–572.

2012

Hertäg L, Hass J, Golovko T, Durstewitz D (2012) An approximation to the adaptive exponential integrate-and-fire neuron model allows fast and predictive fitting to physiological data. Frontiers in Computational Neuroscience 6:62.

Hass J, Blaschke S, Herrmann JM (2012) Cross-Modal Distortion of Time Perception: Demerging the Effects of Observed and Performed Motion. PLoS ONE 7(6):e38092.

Hass, J. & Herrmann, J.M. (2012) The Neural Representation of Time: An Information-Theoretic Perspective. Neural Computation 24, 1519–1552.

2011

Hass, J. & Durstewitz, D. (2011) Models of Dopaminergic Modulation. Scholarpedia 6(8):4215.

2009

Hass J, Blaschke S, Rammsayer T, Herrmann JM (2009) Detection of irregularities in auditory sequences: A neural-network approach to temporal processing. In: J Mayor, N Ruh and K Plunkett (eds.) Connectionist Models Of Behaviour And Cognition II (pp. 167-178), World Scientific.

2008

Hass J, Blaschke S, Rammsayer T Herrmann JM (2008) A Neurocomputational Model for Optimal Temporal Processing. Journal of Computational Neuroscience, 25(3):449–464.

Hass J, Herrmann JM, Geisel T (2006) Optimal Mass Distribution for Passivity-Based Bipedal Robots. International Journal of Robotic Research 25(11):1087 –1098.

2004

Hass J, Herrmann JM, Geisel T (2004) Evolutionary design of an adaptive dynamic walker. In: Proceeding of the International Conference of Climbing and Walking Robots (CLAWAR) 7, pp 765–774, Springer.

Conference presentations

2025

Ravichandran-Schmidt P, Haß J (2025) Testing the state-dependent model of subsecond time perception against experimental evidence. Bernstein Conference 2025, Frankfurt.

2024

Haß, J. (2024) Neurobiologische Zugänge zur Zeitwahrnehmung und ihre Begrifflichkeiten. Zeit und Sprache. Wissenschaften im Dialog, Heidelberg.

2023

Sereda, L., …, Haß, J., Koch, S.C. (2023) Effects of DMT on geriatric nursing home patients with dementia. A controlled observational study. American Dance Therapy Association Conference, Denver (CO), USA.

2022

Wallenwein, L.A., Schmidt, S.N.L., Haß, J. & Mier, D. (2022) Cross-modal decoding of emotional expressions in fMRI – mirror neurons in social cognition. 47. Jahrestagung Psychologie und Gehirn (PuG), Freiburg.

2019

Hass J, Ardid S, Sherfey J, Kopell N (2019) Persistent activity is prevented by interneuron heterogeneity. Bernstein Conference 2014, Berlin.

2017

Hass J (2017) Dopaminergic Modulation of Time Perception: A Biophysical Model. 1st Conference of the Timing Research Forum, Straßburg, Frankreich.

2016

Hass J, Ardid S, Sherfey J, Kopell N (2016) Constraints on Persistent Activity in a Biophysically Detailed Network Model of the Prefrontal Cortex with Heterogeneous Neurons. Bernstein Conference 2016, Berlin.

2014

Hass J, Hertäg L, Golovko T, Durstewitz D (2014) Probing the limits of a detailed prefrontal cortex model based on physiologically derived cellular parameter distributions. Bernstein Conference 2014, Göttingen.

Hass J, Hertäg L, Golovko T, Durstewitz D (2014) Predicting in vivo statistics from in vitro cell parameters in a detailed prefrontal cortex model. Computational and Systems Neuroscience Meeting (COSYNE) 2014, Salt Lake City, Utah, USA.  

2013

Hass J, Hertäg L, Quiroga-Lombard SQ, Durstewitz D (2013) A Computational Model of the Prefrontal Cortex Based on Distributions of Cellular Parameters Obtained from Extensive In Vitro Recordings. Twenty-second Annual Computational Neuroscience Meeting (CNS*2013), Paris, France. 

2012

Hass J et al. (2012) Constructing a detailed data-driven computational model of the prefrontal cortex. Program No. 424.04. 2012 Neuroscience Meeting Planer. New Orleans, LA, USA: Society for Neuroscience, 2012. Online.  

Hass J, Herrmann JM (2012) The neural representation of time: An information-theoretical perspective. Bernstein Conference 2012, München.

2011

Hass J, Durstewitz D (2011). Multi-item working memory from competitive reverberating neural activity. Bernstein Conference 2011, Freiburg.

Hass J and Durstewitz D (2011) A network model of a multi-item working memory task based on competitive reverberating neural activity. 19th Annual Computational Neuroscience Meeting CNS*2011, Stockholm, Sweden.  

Hass J, Blaschke S, Herrmann JM (2011) Optimal time perception with multisensory cues: Dissecting the effects of perceived and performed motion. 8th Göttingen Meeting of the German Neuroscience Society, Göttingen.  

2010

Hass J, Farkhooi F, Durstewitz D (2010) Dopaminergic modulation of time perception. Bernstein Conference 2010, Berlin.

2009

Hass J, Blaschke S, Rammsayer T, Herrmann JM (2009). Progress and decay – An information-theoretical view on the Janus face of time. Eighteenth Annual Computational Neuroscience Meeting: CNS*2009, Berlin.

Hass J, Blaschke S, Rammsayer T Herrmann JM (2009). Temporal Processing in Perception and Action. 8th Göttingen Meeting of the German Neuroscience Society, Göttingen.

2008

Hass J, Blaschke S, Rammsayer T, Herrmann JM (2008). Time perception and motor control – competition or collaboration? 4th Bernstein Symposium for Computational Neuroscience, München.

Hass J, Blaschke S, Rammsayer T, Herrmann JM (2008). Time Perception and Motor Timing. Workshop Aspects of Adaptive Cortex Dynamics, Delmenhorst.

Hass J, Blaschke S, Rammsayer T, Herrmann JM (2008). Timing errors and optimal temporal processing with spiking neural networks. 11th Neural Computation and Psychology Workshop (NCPW11), Oxford, United Kingdom.

Hass J, Blaschke S, Rammsayer T Herrmann JM (2008). Timing errors in sequence experiments: Implications for models of temporal processing. Computational and Systems Neuroscience Meeting (COSYNE) 2008, Salt Lake City, Utah, USA.  

2007

Hass J, Blaschke S, Rammsayer T, Herrmann JM (2007). Dynamic Adaptation in Decoding Temporal Information. 3rd Bernstein Symposium for Computational Neuroscience, Göttingen.

Hass J, Blaschke S, Rammsayer T Herrmann JM (2007). A neurocomputational model of temporal processing: evidence from sequence experiments. Sixteenth Annual Computational Neuroscience Meeting (CNS*2007), Toronto, Canada.  

Hass J, Herrmann JM, Blaschke S, Rammsayer T (2007). Timing Errors in a Dynamical Model of Temporal Processing. 7th Göttingen Meeting of the German Neuroscience Society, Göttingen.

Hass J, Herrmann JM, Blaschke S, Rammsayer T (2007). Modelling Temporal Cognition: A Neural Dynamics Approach. 8. Jahrestagung der Gesellschaft für Kognitionsforschung (KogWis 07), Saarbrücken.

2006

Hass J, Herrmann JM, Blaschke S, Rammsayer T (2006). Timing Errors in a Dynamical Model of Temporal Processing. 2nd Bernstein Symposium for Computational Neuroscience, Berlin.

2005

Hass J, Herrmann JM, Geisel T (2005) Active Control of Bipedal Locomotion. Spring Meeting of the German Physical Society 2005, Berlin.

Hass J, Herrmann JM, Geisel T (2005) Biomechanics and Low-Level Control of Bipedal Locomotion. 6th Göttingen Meeting of the German Neuroscience Society, Göttingen.

2004

Hass J, Herrmann JM, Geisel T (2004). Evolutionary design of an adaptive dynamic walker. 7th International Conference of Climbing and Walking Robots (CLAWAR), Madrid, Spain.

Hass J, Mayer N, Herrmann JM (2004) Dynamics and Control of a 2-D Passive Dynamic Walker. Spring Meeting of the German Physical Society 2005, Regensburg.

Awards

2023

Publication Award HAW.International

2022

Publication Award HAW.International

Sonstiges

2026

Approval of the DFG project „Aufdecken gemeinsamer Mechanismen von Zeitwahrnehmung und Arbeitsgedächtnis durch neuronale Modellierung“ (Funding amount: €281,650)

2018 - 2022

DFG project „Modelle der Zeitwahrnehmung und ihrer dopaminergen Modulation“ (Co-PI: Dr. Thomas Hahn, own share of funding: €129,900)

2017 - 2019

Follow-up project to „Das menschliche Spiegelneuronensystem: Wie erfassen wir, was wir nicht messen können?”, funded by the WIN-Kolleg of the Heidelberger Akademie der Wissenschaften, Ruprecht-Karls-Universität Heidelberg, funding amount: €154,000 (jointly with Prof. Dr. Daniela Mier)

2014 - 2017

Third-party funded project „Das menschliche Spiegelneuronensystem: Wie erfassen wir, was wir nicht messen können?”, funded by the WIN-Kolleg of the Heidelberger Akademie der Wissenschaften, Ruprecht-Karls-Universität Heidelberg, funding amount: €212,000 (jointly with Prof. Dr. Daniela Mier