Publications of J Macke

Journal Article (22)

21.
Journal Article
Ku, S.-P.; Gretton, A.; Macke, J.; Logothetis, N.: Comparison of Pattern Recognition Methods in Classifying High-resolution BOLD Signals Obtained at High Magnetic Field in Monkeys. Magnetic Resonance Imaging 26 (7), pp. 1007 - 1014 (2008)
22.
Journal Article
Macke, J.; Maack, N.; Gupta, R.; Denk, W.; Schölkopf, B.; Borst, A.: Contour-propagation Algorithms for Semi-automated Reconstruction of Neural Processes. Journal of Neuroscience Methods 167 (2), pp. 349 - 357 (2008)

Book Chapter (3)

23.
Book Chapter
Bassetto, G.; Macke, J.: Electrophysiology Analysis, Bayesian. In: Encyclopedia of Computational Neuroscience, pp. 1 - 5 (Eds. Jaeger, D.; Jung, R.). Springer, New York, NY, USA (2020)
24.
Book Chapter
Macke, J.: Electrophysiology Analysis, Bayesian. In: Encyclopedia of Computational Neuroscience, pp. 1078 - 1082 (Eds. Jaeger, D.; Jung, R.). Springer, New York, NY, USA (2015)
25.
Book Chapter
Macke, J.; Buesing, L.; Sahani, M.: Estimating State and Parameters in State Space Models of Spike Trains. In: Advanced State Space Methods for Neural and Clinical Data, pp. 137 - 159 (Ed. Chen, Z.). Cambridge University Press, Cambridge, UK (2015)

Proceedings (1)

26.
Proceedings
Rothkopf, C.; Balfanz, D.; Galuske, R.; Jäkel, F.; Kersting, K.; Macke, J.; Mohler, B. (Eds.): KOGWIS2018: Computational Approaches to Cognitive Science. 14th Biannual Conference of the German Society for Cognitive Science (KogWis 2018), Darmstadt, Germany, September 03, 2018 - September 06, 2018. Technische Universität Darmstadt, Darmstadt, Germany (2018)

Conference Paper (14)

27.
Conference Paper
Park, M.; Bohner, G.; Macke, J.: Unlocking neural population non-stationarity using a hierarchical dynamics model. In: Advances in Neural Information Processing Systems 28, pp. 145 - 153 (Eds. Cortes, C.; Lawrence, N.; Lee, D.; Sugiyama, M.; Garnett, R.). Twenty-Ninth Annual Conference on Neural Information Processing Systems (NIPS 2015), Montréal, Canada, December 07, 2015 - December 12, 2015. Curran, Red Hook, NY, USA (2016)
28.
Conference Paper
Archer, E.; Koster, U.; Pillow, J.; Macke, J.: Low-dimensional models of neural population activity in sensory cortical circuits. In: Advances in Neural Information Processing Systems 27, pp. 343 - 351 (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)
29.
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)
30.
Conference Paper
Archer, E.; Koster, U.; Pillow, J.; Macke, J.: Low-dimensional models of neural population activity in sensory cortical circuits. In: Advances in Neural Information Processing Systems 27, pp. 343 - 351 (Eds. Ghahramani; Z.; Welling, M.; Cortes, C.; Lawrence, N. D. et al.). Twenty-Eighth Annual Conference on Neural Information Processing Systems (NIPS 2014), Montréal, Quebec, Canada. (2014)
31.
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. et al.). Twenty-Eighth Annual Conference on Neural Information Processing Systems (NIPS 2014), Montréal, Quebec, Canada. (2014)
32.
Conference Paper
Turaga, S.; Buesing, L.; Packer, A.; Dalgleish, H.; Pettit, N.; Hausser, M.; Macke, J.: Inferring neural population dynamics from multiple partial recordings of the same neural circuit. In: Advances in Neural Information Processing Systems 26, pp. 539 - 547 (Eds. Burges, C.; Bottou, L.; Welling, M.; Ghahramani, Z.; Weinberger, K.Q.). Twenty-Seventh Annual Conference on Neural Information Processing Systems (NIPS 2013), Stateline, NV, USA. Curran, Red Hook, NY, USA (2014)
33.
Conference Paper
Buesing, L.; Macke, J.; Sahani, M.: Spectral learning of linear dynamics from generalised-linear observations with application to neural population data. In: Advances in Neural Information Processing Systems 25, pp. 1691 - 1699 (Eds. Bartlett, P.; Pereira, F.; Bottou, L.; Burges, C.; Weinberger, K.). Twenty-Sixth Annual Conference on Neural Information Processing Systems (NIPS 2012), Lake Tahoe, NV, USA, December 03, 2012 - December 08, 2012. Curran, Red Hook, NY, USA (2013)
34.
Conference Paper
Macke, J.; Büsing , L.; Cunningham, J.; Yu, B.; Shenoy, K.; Sahani, M.: Empirical models of spiking in neural populations. In: Advances in Neural Information Processing Systems 24, pp. 1350 - 1358 (Eds. Shawe-Taylor, J.; Zemel, R.; Bartlett, P.; Pereira, F.; Weinberger, K.). Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), Granada, Spain. Curran, Red Hook, NY, USA (2012)
35.
Conference Paper
Macke, J.; Murray, I.; Latham, P.: How biased are maximum entropy models? In: Advances in Neural Information Processing Systems 24, pp. 2034 - 2042 (Eds. Shawe-Taylor, J.; Zemel, R.; Bartlett, P.; Pereira, F.; Weinberger, K.). Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), Granada, Spain. Curran, Red Hook, NY, USA (2012)
36.
Conference Paper
Macke, J.; Gerwinn, S.; Kaschube , M.; White, L.; Bethge, M.: Bayesian estimation of orientation preference maps. In: Advances in Neural Information Processing Systems 22, pp. 1195 - 1203 (Eds. Bengio, Y.; Schuurmans, D.; Lafferty, J.; Williams, C.; Culotta, A.). 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, BC, Canada, December 07, 2009 - December 10, 2009. Curran, Red Hook, NY, USA (2010)
37.
Conference Paper
Gerwinn, S.; Macke, J.; Seeger, M.; Bethge, M.: Bayesian Inference for Spiking Neuron Models with a Sparsity Prior. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, pp. 529 - 536 (Eds. Platt, C.; Koller, D.; Singer, Y.; Roweis, S.). Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Vancouver, BC, Canada, December 03, 2007 - December 06, 2007. Curran, Red Hook, NY, USA (2008)
38.
Conference Paper
Macke, J.; Zeck, G.; Bethge, M.: Receptive Fields without Spike-Triggering. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, pp. 969 - 976 (Eds. Platt, C.; Koller, D.; Singer, Y.; Roweis, S.). Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Vancouver, BC, Canada, December 03, 2007 - December 06, 2007. Curran, Red Hook, NY, USA (2008)
39.
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)
40.
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)
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