Publications of JH Macke

Conference Paper (14)

41.
Conference Paper
Laub, J.; Macke, J.; Müller, K.-R.; Wichmann, F.: Inducing Metric Violations in Human Similarity Judgements. In: Advances in Neural Information Processing Systems 19, pp. 777 - 784 (Eds. Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada. MIT Press, Cambridge, MA, USA (2007)
42.
Conference Paper
Bethge, M.; Gerwinn, S.; Macke, J.: Unsupervised learning of a steerable basis for invariant image representations. In: Human Vision and Electronic Imaging XII: Proceedings of the SPIE Human Vision and Electronic Imaging Conference 2007, pp. 1 - 12 (Eds. Rogowitz, B.; Pappas, T.; Daly, S.). SPIE Human Vision and Electronic Imaging Conference 2007, San Jose, CA, USA, January 28, 2007 - February 01, 2007. SPIE, Bellingham, WA, USA (2007)

Meeting Abstract (8)

43.
Meeting Abstract
Goncalves, P.; Luckmann, J.-M.; Bassetto, G.; Nonnenmacher, M.; Macke, J.: Flexible Bayesian inference for complex models of single neurons. In BMC Neuroscience, 18 (Supplement 1), O4, p. 58. Twenty-Sixth Annual Computational Neuroscience Meeting (CNS*2017), Antwerpen, Belgium, July 15, 2017 - July 20, 2017. BioMed Central (2017)
44.
Meeting Abstract
Nonnenmacher, M.; Behrens, C.; Berens, P.; Bethge, M.; Macke, J.: Correlations and signatures of criticality in neural population models. In Bernstein Conference 2015, C2, pp. 27 - 28. Bernstein Conference 2015, Heidelberg, Germany, September 15, 2015 - September 17, 2015. (2015)
45.
Meeting Abstract
Gerwinn, S.; Macke, J.; Bethge, M.: Toolbox for inference in generalized linear models of spiking neurons. In Frontiers in Computational Neuroscience, 2010 (Conference Abstract: Bernstein Conference on Computational Neuroscience). Bernstein Conference on Computational Neuroscience (BCCN 2010), Berlin, Germany, September 27, 2010 - October 01, 2010. Frontiers Research Foundation, Lausanne (2010)
46.
Meeting Abstract
Häfner, R.; Gerwinn, S.; Macke, J.; Bethge, M.: Implications of correlated neuronal noise in decision making circuits for physiology and behavior. In Frontiers in Neuroscience, 2010 (Conference Abstract: Computational and Systems Neuroscience 2010). 7th Computational and Systems Neuroscience Meeting (COSYNE 2010), Salt Lake City, UT, USA, February 25, 2010 - February 28, 2010. Frontiers Research Foundation, Lausanne, Switzerland (2010)
47.
Meeting Abstract
Macke, J.; Opper, M.; Bethge, M.: How pairwise correlations affect the redundancy in large populations of neurons. In Frontiers in Computational Neuroscience, 2008 (Conference Abstract: Bernstein Symposium 2008). Bernstein Symposium 2008, München, Germany, October 08, 2008 - October 10, 2008. Frontiers Research Foundation, Lausanne (2008)
48.
Meeting Abstract
Ku, S.-P.; Gretton, A.; Macke, J.; Logothetis, N.: Pattern recognition methods in classifying fMRI data. In 9th Conference of the Junior Neuroscientists of Tübingen (NeNa 2008), p. 11. 9th Conference of the Junior Neuroscientists of Tübingen (NeNa 2008), Ellwangen, Germany, October 27, 2008 - October 29, 2008. (2008)
49.
Meeting Abstract
Macke, J.; Zeck, G.; Bethge, M.: Estimating receptive fields without spike-triggering. In 37th Annual Meeting of the Society for Neuroscience (Neuroscience 2007), 768.1. 37th Annual Meeting of the Society for Neuroscience (Neuroscience 2007), San Diego, CA, USA, November 03, 2007 - November 07, 2007. (2007)
50.
Meeting Abstract
Macke, J.: Decision-Images: A tool for identifying critical stimulus features. In 7th Conference of Tuebingen Junior Neuroscientists (NeNa 2006), p. 10. 7th Conference of Tuebingen Junior Neuroscientists (NeNa 2006), Oberjoch, Germany, November 26, 2006 - November 28, 2006. (2006)

Talk (11)

51.
Talk
Macke, J.: Correlations and signatures of criticality in neural population models. Double Feature Workshop: Bernstein Symposium Kick-Off Symposium, Tübingen, Germany (2017)
52.
Talk
Macke, J.: Correlations and signatures of criticality in neural population models. NIPS 2015 Workshop: Modelling and Inference for Dynamics on Complex Interaction Networks: Joining Up Machine aqnd Statistical Physics, Montréal, Canada (2015)
53.
Talk
Macke, J.: Correlations and signatures of criticality in neural population models. Institut d'Etudes de la Cognition (IEC) at the Ecole Normale Supérieure: Group for Neural Theory, Paris, France (2015)
54.
Talk
Macke, J. H.: Correlations, criticality and common input. University of Zurich: Swiss Computational Neuroscience Seminars, Zürich, Switzerland (2015)
55.
Talk
Macke, J.: Dissecting choice-probabilities in V2 neurons using serial dependence. COSYNE 2015 Workshops, Snowbird, UT, USA (2015)
56.
Talk
Macke, J.: Statistical methods for characterizing cortical population activity. Osnabrück Computational Cognition Alliance Meeting on "The Brain as a Probabilistic Inference Engine" (OCCAM 2014), Osnabrück, Germany (2014)
57.
Talk
Macke, J.: Inferring neural population dynamics from multiple partial measurements of the same circuit. Group Seminar C. Gros "Complex and Cognitive Systems": Max-Planck-Institute for Brain Research, Frankfurt a.M., Germany (2013)
58.
Talk
Macke, J.: Characterizing the dynamics of large neural populations. ICB Institute of Computational Biology: Helmholtz Zentrum, München, Germany (2013)
59.
Talk
Macke, J.: Statistical Modelling of Psychophysical Data. 36th European Conference on Visual Perception (ECVP 2013), Bremen. Germany (2013)
60.
Talk
Macke, J.: Modelling correlated populations: Redundancies, spike counts and the effect of common input. Computational Neuroscience Meeting 2009, Tübingen, Germany (2009)
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