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  • Professor

Prof. Dr. Joachim Haß

Fakultät für Angewandte Psychologie | Professor
Raum: MPS 3, OG 1, 1.23
E-Mail:
Telefax: +49 (0)6221-6799-502
Telefon: +49 (0)6221-6799-505

Über mich
Über mich

Oktober 2016 - März 2021
Professor für Methodenlehre an der SRH Hochschule Heidelberg

Oktober 2016 - März 2021
Gastwissenschaftler

Zentralinstitut für seelische Gesundheit Mannheim, Abteilung Theoretische Neurowissenschaften (Leitung: Prof. Dr. Daniel Durstewitz)

August 2018 - März 2021
Principal Investigator

DFG-Projekt "Modelle der Zeitwahrnehmung und ihrer dopaminergen Modulation" (zusammen mit Dr. Thomas Hahn)

Oktober 2019 - März 2021
Mitglied Akademiekolleg

Heidelberger Akademie der Wissenschaften

Februar 2015 - Dezember 2015
Postdoctoral Researcher

Center for Computational Neuroscience and Neural Technology der Boston University (Leitung: Prof. Dr. Nancy Kopell)

Juni 2014 - Juni 2019
Principal Investigator

WIN-Kolleg der Heidelberger Akademie der Wissenschaften (Projekt: "Das menschliche Spiegelneuronensystem: Wie erfassen wir, was wir nicht messen können?" zusammen mit Prof. Dr. Daniela Mier)

Februar 2012 - Januar 2015
Mitglied Direktorium

Bernstein-Zentrum Heidelberg-Mannheim (Vertreter der Doktoranden und Postdocs)

April 2010 - Januar 2015
Postdoctoral Researcher

Zentralinstitut für seelische Gesundheit Mannheim, Abteilung Theoretische Neurowissenschaften (Leitung: Prof. Dr. Daniel Durstewitz)

November 2019
Promotion zum Dr. rer. nat.

Universität Göttingen, Göttingen Graduate School for Neurosciences and Molecular Biosciences (GGNB)

Dezember 2005 - März 2010
Doktorand / Wissenschaftlicher Mitarbeiter

Abteilung Nichtlineare Dynamik, Universität Göttingen, BCCN Göttingen, MPI für Dynamik und Selbstorganisation (Direktor: Prof. Theo Geisel)

September 2019 - November 2005
Studium der Physik

Universität Göttingen, Abteilung Nichtlineare Dynamik

Auszug
An diesen Publikationen habe ich mitgewirkt


Bücher und Broschüren

  • Schweiker, M, Hass, J, Novokhatko, A, Halbleib R (2017). Messen und Verstehen in der Wissenschaft. Springer. ISBN 978-3-658-18353-0.
  • Gramm, A et a.l (2011). Informatik / Informationstechnische Grundbildung – Handreichungen für den Unterricht. Cornelsen Verlag, ISBN 978-3-06-400010-0.
  • Bänisch, U et a.l (2008). Informatik / Informationstechnische Grundbildung Cornelsen Verlag, ISBN 978-3-06-060922-2.


Peer-Review

  • Schmidt, S. N., Hass, J., Kirsch, P., & Mier, D. (2021). The human mirror neuron system - A common neural basis for social cognition?. Psychophysiology, e13781.
  • Sadeghi, S, Mier, D, Gerchen, MF, Schmidt, SN & 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, doi.org/10.1038/s41386-020-0637-8.
  • 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.
  • Sherfey, J. S., Ardid, S., Hass, J., Hasselmo, M. E., & Kopell, N. J. (2018) Flexible resonance in prefrontal networks with strong feedback inhibition. PLoS Comput Biol 14(8):e1006357.
  • Hass J, D. Durstewitz (2016) A detailed data-driven network model of prefrontal cortex reproduces key features of in vivo activity. PLoS Comput Biol 12:e1004930.
  • Hass J, Durstewitz D (2016) Time at the center, or time at the side? Assessing current models of time perception. Curr Opin Behav Sci 8:238–244.
  • Quiroga Lombard CS, Hass J. Durstewitz D (2013) Method for Stationarity-Segmentation of Spike Train Data with Application to the Pearson Cross-Correlation. J Neurophysiol 110:562–572.
  • Hass J, Durstewitz D (2014) Neurocomputational Models of Time Perception. Neurobiology of Interval Timing, Adv Exp Med 829:49-71.
  • 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. Front Comput Neurosci 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, Herrmann JM (2012) The Neural Representation of Time: An Information-Theoretic Perspective. Neural Comput 24, 1519–1552.
  • Hass J, Blaschke S, Rammsayer T, Herrmann JM (2009) Detection of irregularities in auditory sequences: A neural-network approach to temporal processing. In: Proc NCPW11, J Mayor, N Ruh and K Plunkett (eds.), World Scientific.
  • Hass J, Blaschke S, Rammsayer T Herrmann JM (2008) A Neurocomputational Model for Optimal Temporal Processing. J Comput Neurosci, 25(3):449–464.
  • Hass J, Herrmann JM, Geisel T (2006) Optimal Mass Distribution for Passivity-Based Bipedal Robots. Int J Rob Res 25(11):1087 –1098.


Buchkapitel

  • Mier D, 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 (2017). Messen und Verstehen in der Wissenschaft (S.173-186). Springer.
  • Hass J, Herrmann JM, Geisel T (2004) Evolutionary design of an adaptive dynamic walker. In: Proc CLAWAR 7, pp 765–774, Springer.


Elektronische Medien

  • Hass J, Ardid S, Sherfey J, Kopell N (2019). Constraints on Persistent Activity in a Biologically Detailed Network Model of the Prefrontal Cortex with Heterogeneities. bioRxiv, 645663.
  • Hass J, Durstewitz D (2011) Models of Dopaminergic Modulation. Scholarpedia 6(8):4215.


Konferenzbeiträge und Vorträge

  • Hass J, Ardid S, Sherfey J, Kopell N (2019) Persistent activity is prevented by interneuron heterogeneity. Bernstein Conference 2019, Berlin (Poster)
  • Hass J (2017) Dopaminergic Modulation of Time Perception: A Biophysical Model. 1st Conference of the Timing Research Forum, Straßburg (Vortrag)
  • 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. doi: 10.12751/nncn.bc2016.0099. (Poster)
  • 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 (Poster)
  • 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) 20134 Salt Lake City, Utah, USA (Poster)
  • 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 (Poster)
  • 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. (Vortrag)
  • Hass J, Herrmann JM (2012) The neural representation of time: An information-theoretical perspective. Bernstein Conference 2012, München (Poster)
  • Hass J, Durstewitz D (2011). Multi-item working memory from competitive reverberating neural activity. Bernstein Conference 2011, Freiburg (Poster) In: Frontiers in Computational Neuroscience Conference Abstract: BC11.
  • 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 (Poster) In: BMC Neuroscience 12(Suppl 1):P83.
  • 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 (Poster)
  • Hass J, Farkhooi F, Durstewitz D (2010) Dopaminergic modulation of time perception. Bernstein Conference 2010, Berlin (Poster) In: Frontiers in Computational Neuroscience. Conference Abstract: Bernstein Conference on Computational Neuroscience.
  • 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 (Poster)
  • In: BMC Neuroscience 2009, 10(Suppl 1):P87
  • Hass J, Blaschke S, Rammsayer T Herrmann JM (2009). Temporal Processing in Perception and Action. 8th Göttingen Meeting of the German Neuroscience Society, Göttingen (Poster)
  • Hass J, Blaschke S, Rammsayer T, Herrmann JM (2008). Time perception and motor control – competition  or collaboration? 4rth Bernstein Symposium for Computational Neuroscience, München (Vortrag)
  • Hass J, Blaschke S, Rammsayer T, Herrmann JM (2008). Time Perception and Motor Timing. Workshop Aspects of Adaptive Cortex Dynamics, Delmenhorst (Poster)
  • 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 (Vortrag)
  • 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 (Poster)
  • Hass J, Blaschke S, Rammsayer T, Herrmann JM (2007). Dynamic Adaptation in Decoding Temporal Information. 3rd Bernstein Symposium for Computational Neuroscience, Göttingen (Poster)
  • 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 (Vortrag) In: BMC Neuroscience 2007, 8(Suppl 2):S25
  • 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 (Poster)
  • 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 (Vortrag)
  • 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 (Vortrag)
  • Hass J, Herrmann JM, Geisel T (2005) Active Control of Bipedal Locomotion. Spring Meeting of the German Physical Society 2005, Berlin (Poster)
  • Hass J, Herrmann JM, Geisel T (2005) Biomechanics and Low-Level Control of Bipedal Locomotion. 6th Göttingen Meeting of the German Neuroscience Society, Göttingen (Poster)
  • 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 (Vortrag)
  • 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 (Poster)