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Conference Paper (1)

  1. 1.
    Conference Paper
    Putzky, P.; Franzen, F.; Bassetto, G.; Macke, J.: A Bayesian model for identifying hierarchically organised states in neural population activity. In: Advances in Neural Information Processing Systems 27, pp. 3095 - 3103 (Eds. Ghahramani, Z.; Welling, M.; Cortes, C.; Lawrence, N. D.; Weinberger, K. Q.). Twenty-Eighth Annual Conference on Neural Information Processing Systems (NIPS 2014), Montréal, Quebec, Canada. Curran, Red Hook, NY, USA (2015)

Meeting Abstract (1)

  1. 2.
    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), p. 58 - 58. Twenty-Sixth Annual Computational Neuroscience Meeting (CNS*2017), Antwerpen, Belgium. (2017)

Poster (5)

  1. 3.
    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)
  2. 4.
    Poster
    Goncalves, P.; Lueckmann, J.-M.; Bassetto, G.; Nonnenmacher, M.; Macke, J.: Flexible Bayesian inference for mechanistic models of neural dynamics. Computational and Systems Neuroscience Meeting (COSYNE 2017), Salt Lake City, UT, USA (2017)
  3. 5.
    Poster
    Bassetto, G.; Macke, J.: Full Bayesian inference for model-based receptive field estimation, with application to primary visual cortex. Bernstein Conference 2016, Berlin, Germany (2016)
  4. 6.
    Poster
    Czubayko, U.; Bassetto, G.; Narayanan, R.; Oberlaender, M.; Macke, J.; Kerr, J.: Anatomical basis of spiking correlation in upper layers of somatosensory cortex. 45th Annual Meeting of the Society for Neuroscience (Neuroscience 2015), Chicago, IL, USA (2015)
  5. 7.
    Poster
    Bassetto, G.; Sandhaeger, F.; Ecker, A.; Macke, J.: A statistical characterization of neural population responses in V1. Bernstein Conference 2015, Heidelberg, Germany (2015)
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