Suchergebnisse

Meeting Abstract (8)

41.
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), S. 58 - 58. Twenty-Sixth Annual Computational Neuroscience Meeting (CNS*2017), Antwerpen, Belgium. (2017)
42.
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, S. 27 - 28. Bernstein Conference 2015, Heidelberg, Germany, 15. September 2015 - 17. September 2015. (2015)
43.
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, 27. September 2010 - 01. Oktober 2010. Frontiers Research Foundation, Lausanne (2010)
44.
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, 25. Februar 2010 - 28. Februar 2010. Frontiers Research Foundation, Lausanne, Switzerland (2010)
45.
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, 08. Oktober 2008 - 10. Oktober 2008. Frontiers Research Foundation, Lausanne (2008)
46.
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), S. 11. 9th Conference of the Junior Neuroscientists of Tübingen (NeNa 2008), Ellwangen, Germany, 27. Oktober 2008 - 29. Oktober 2008. (2008)
47.
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, 03. November 2007 - 07. November 2007. (2007)
48.
Meeting Abstract
Macke, J.: Decision-Images: A tool for identifying critical stimulus features. In 7th Conference of Tuebingen Junior Neuroscientists (NeNa 2006), S. 10. 7th Conference of Tuebingen Junior Neuroscientists (NeNa 2006), Oberjoch, Germany. (2006)

Vortrag (11)

49.
Vortrag
Macke, J.: Correlations and signatures of criticality in neural population models. Double Feature Workshop: Bernstein Symposium Kick-Off Symposium, Tübingen, Germany (2017)
50.
Vortrag
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)
51.
Vortrag
Macke, J. H.: 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)
52.
Vortrag
Macke, J. H.: Correlations, criticality and common input. University of Zurich: Swiss Computational Neuroscience Seminars, Zürich, Switzerland (2015)
53.
Vortrag
Macke, J.: Dissecting choice-probabilities in V2 neurons using serial dependence. COSYNE 2015 Workshops, Snowbird, UT, USA (2015)
54.
Vortrag
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)
55.
Vortrag
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)
56.
Vortrag
Macke, J.: Characterizing the dynamics of large neural populations. ICB Institute of Computational Biology: Helmholtz Zentrum, München, Germany (2013)
57.
Vortrag
Macke, J.: Statistical Modelling of Psychophysical Data. 36th European Conference on Visual Perception (ECVP 2013), Bremen. Germany (2013)
58.
Vortrag
Macke, J.: Modelling correlated populations: Redundancies, spike counts and the effect of common input. Computational Neuroscience Meeting 2009, Tübingen, Germany (2009)
59.
Vortrag
Macke, J.; Opper, M.; Bethge, M.: How pairwise correlations aect the redundancy in large populations of neurons. Bernstein Symposium 2008, München, Germany (2008)

Poster (44)

60.
Poster
Bassetto, G.; Macke, J.: Using bayesian inference to estimate receptive fields from a small number of spikes. Computational and Systems Neuroscience Meeting (COSYNE 2017), Salt Lake City, UT, USA (2017)
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