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Dr. Jakob Macke

Adresse:	MPI Biologische Kybernetik, Eberhard Karls Universität Tübingen, Mathematisch-Naturwissenschaftliche Fakultät, Sand 6 72074 Tübingen
Tel.:	07071 29-70584
Fax:	07071 29-5781
E-Mail:	jakob.macke

Jakob Macke

Position: Leiter Forschungsgruppe Abteilung: Macke

Publikationen

Artikel (14):
•	Haefner RM , Gerwinn S , Macke JH und Bethge M (February-2013) Inferring decoding strategies from choice probabilities in the presence of correlated variability Nature Neuroscience 16(2) 235–242.
•	Schwartz G , Macke J , Amodei D , Tang H und Berry MJ (August-2012) Low Error Discrimination using a Correlated Population Code Journal of Neurophysiology 108(4) 1069-1088.
•	Buesing L , Macke JH und Sahani M (March-2012) Learning stable, regularised latent models of neural population dynamics Network 23(1-2) 24-47.
•	Macke J , Berens P und Bethge M (July-2011) Statistical analysis of multi-cell recordings: linking population coding models to experimental data Frontiers in Computational Neuroscience 5(35) 1-2.
•	Macke JH , Opper M und Bethge M (May-2011) Common Input Explains Higher-Order Correlations and Entropy in a Simple Model of Neural Population Activity Physical Review Letters 106(20) 1-4.
•	Macke JH , Gerwinn S , White LW , Kaschube M und Bethge M (May-2011) Gaussian process methods for estimating cortical maps NeuroImage 56(2) 570-581.
•	Gerwinn S , Macke JH und Bethge M (February-2011) Reconstructing stimuli from the spike-times of leaky integrate and fire neurons Frontiers in Neuroscience 5(1) 1-16.
•	Lyamzin DR , Macke JH und Lesica NA (October-2010) Modeling population spike trains with specified time-varying spike rates, trial-to-trial variability, and pairwise signal and noise correlations Frontiers in Computational Neuroscience 4(144) 1-11.
•	Macke JH und Wichmann FA (May-2010) Estimating predictive stimulus features from psychophysical data: The decision image technique applied to human faces Journal of Vision 10(5:22) 1-24.
•	Gerwinn S , Macke J und Bethge M (April-2010) Bayesian inference for generalized linear models for spiking neurons Frontiers in Computational Neuroscience 4(12) 1-42.
•	Gerwinn S , Macke JH und Bethge M (October-2009) Bayesian population decoding of spiking neurons Frontiers in Computational Neuroscience 3(21) 1-28.
•	Macke JH , Berens P , Ecker AS , Tolias AS und Bethge M (February-2009) Generating Spike Trains with Specified Correlation Coefficients Neural Computation 21(2) 397-423.
•	Ku S-P , Gretton A , Macke J und Logothetis NK (September-2008) Comparison of Pattern Recognition Methods in Classifying High-resolution BOLD Signals Obtained at High Magnetic Field in Monkeys Magnetic Resonance Imaging 26(7) 1007-1014.
•	Macke JH , Maack N , Gupta R , Denk W , Schölkopf B und Borst A (January-2008) Contour-propagation Algorithms for Semi-automated Reconstruction of Neural Processes Journal of Neuroscience Methods 167(2) 349-357.
Beiträge zu Tagungsbänden (8):
•	Buesing L , Macke JH und Sahani M (December-2012) Spectral learning of linear dynamics from generalised-linear observations with application to neural population data In: Advances in Neural Information Processing Systems 25, Twenty-Sixth Annual Conference on Neural Information Processing Systems (NIPS 2012), 1691-1699.
•	Macke JH , Büsing L , Cunningham JP , Yu BM , Shenoy KV und Sahani M (January-2012) Empirical models of spiking in neural populations In: Advances in Neural Information Processing Systems 24, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), Curran, Red Hook, NY, USA, 1350-1358.
•	Macke JH , Murray I und Latham P (January-2012) How biased are maximum entropy models? In: Advances in Neural Information Processing Systems 24, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), Curran, Red Hook, NY, USA, 2034-2042.
•	Macke JH , Gerwinn S , Kaschube M , White LE und Bethge M (April-2010) Bayesian estimation of orientation preference maps In: Advances in Neural Information Processing Systems 22, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Curran, Red Hook, NY, USA, 1195-1203.
•	Gerwinn S , Macke J , Seeger M und Bethge M (September-2008) Bayesian Inference for Spiking Neuron Models with a Sparsity Prior In: Advances in neural information processing systems 20, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Curran, Red Hook, NY, USA, 529-536.
•	Macke JH , Zeck G und Bethge M (September-2008) Receptive Fields without Spike-Triggering In: Advances in neural information processing systems 20, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Curran, Red Hook, NY, USA, 969-976.
•	Laub J , Macke JH , Müller K-R und Wichmann FA (September-2007) Inducing Metric Violations in Human Similarity Judgements In: Advances in Neural Information Processing Systems 19, Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 777-784.
•	Bethge M , Gerwinn S und Macke JH (February-2007) Unsupervised learning of a steerable basis for invariant image representations In: Human Vision and Electronic Imaging XII, SPIE Human Vision and Electronic Imaging Conference 2007, SPIE, Bellingham, WA, USA, 1-12.
Technische Berichte (1):
•	Macke JH , Opper M und Bethge M : The effect of pairwise neural correlations on global population statistics, 183, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (March-2009).
Poster (22):
•	Macke J , Murray I und Latham P (March-2013): How biased are maximum entropy models of neural population activity?, Computational and Systems Neuroscience Meeting (COSYNE 2013), Salt Lake City, UT, USA.
•	Buesing L , Macke J und Sahani M (March-2013): Robust estimation for neural state-space models, Computational and Systems Neuroscience Meeting (COSYNE 2013), Salt Lake City, UT, USA.
•	Macke JH , Büsing L , Cunningham JP , Yu BM , Shenoy KV und Sahani M (May-2012): Empirical models of spiking in neural populations, Janelia Farm Conference 2012: Machine Learning, Statistical Inference, and Neuroscience, Ashburn, VA, USA.
•	Haefner RM , Gerwinn S , Macke JH und Bethge M (November-2011): Relationship between decoding strategy, choice probabilities and neural correlations in perceptual decision-making task, 41st Annual Meeting of the Society for Neuroscience (Neuroscience 2011), Washington, DC, USA.
•	Macke JH , Büsing L , Cunningham JP , Yu BM , Shenoy KV und Sahani M (February-2011): Modelling low-dimensional dynamics in recorded spiking populations, Computational and Systems Neuroscience Meeting (COSYNE 2011), Salt Lake City, UT, USA.
•	Macke JH , Opper M und Bethge M (February-2011): The effect of common input on higher-order correlations and entropy in neural populations, Computational and Systems Neuroscience Meeting (COSYNE 2011), Salt Lake City, UT, USA.
•	Macke JH , Sebastian G , White LE , Kaschube M und Bethge M (November-2010): Estimating cortical maps with Gaussian process models, 40th Annual Meeting of the Society for Neuroscience (Neuroscience 2010), San Diego, CA, USA.
•	Macke JH und Wichmann FA (August-2009): Estimating Critical Stimulus Features from Psychophysical Data: The Decision-Image Technique Applied to Human Faces, 9th Annual Meeting of the Vision Sciences Society (VSS 2009), Naples, FL, USA, Journal of Vision, 9(8) 31.
•	Macke J , Gerwinn S , White L , Kaschube M und Bethge M (March-2009): Bayesian estimation of orientation preference maps, Computational and Systems Neuroscience Meeting (COSYNE 2009), Salt Lake City, UT, USA, Frontiers in Systems Neuroscience, 2009(Conference Abstracts: Computational and Systems Neuroscience).
•	Gerwinn S , Macke J und Bethge M (March-2009): Bayesian Population Decoding of Spiking Neurons, Computational and Systems Neuroscience Meeting (COSYNE 2009), Salt Lake City, UT, USA,, Frontiers in Systems Neuroscience, 2009(Conference Abstracts: Computational and Systems Neuroscience).
•	Berens P , Macke JH , Ecker AS , Cotton RJ , Bethge M und Tolias AS (March-2009): Sensory input statistics and network mechanisms in primate primary visual cortex, Computational and Systems Neuroscience Meeting (COSYNE 2009), Salt Lake City, UT, USA, Frontiers in Systems Neuroscience, 2009(Conference Abstracts: Computational and Systems Neuroscience).
•	Macke JH , Berens P , Ecker AS , Opper M , Tolias AS und Bethge M (July-2008): Modeling populations of spiking neurons with the Dichotomized Gaussian distribution, Annual Meeting 2008 of Sloan-Swartz Centers for Theoretical Neurobiology, Princeton, NJ, USA.
•	Ku S-P , Gretton A , Macke J , Tolias AT und Logothetis NK (June-2008): Analysis of Pattern Recognition Methods in Classifying Bold Signals in Monkeys at 7-Tesla, AREADNE 2008: Research in Encoding and Decoding of Neural Ensembles, Santorini, Greece.
•	Bethge M , Macke JH , Berens P , Ecker AS und Tolias AS (June-2008): Flexible Models for Population Spike Trains, AREADNE 2008: Research in Encoding and Decoding of Neural Ensembles, Santorini, Greece.
•	Berens P , Ecker AS , Subramaniyan M , Macke JH , Hauck P , Bethge M und Tolias AS (June-2008): Pairwise Correlations and Multineuronal Firing Patterns in the Primary Visual Cortex of the Awake, Behaving Macaque, AREADNE 2008: Research in Encoding and Decoding of Neural Ensembles, Santorini, Greece.
•	Macke JH , Schwartz G und Berry M (June-2008): The role of stimulus correlations for population decoding in the retina, AREADNE 2008: Research in Encoding and Decoding of Neural Ensembles, Santorini, Greece.
•	Schwartz G , Macke J und Berry M (March-2008): The role of stimulus correlations for population decoding in the retina, Computational and Systems Neuroscience Meeting (COSYNE 2008), Salt Lake City, UT, USA,.
•	Maack N , Kapfer C , Macke JH , Schölkopf B , Denk W und Borst A (April-2007): 3D Reconstruction of Neural Circuits from Serial EM Images, 31st Göttingen Neurobiology Conference, Göttingen, Germany, Neuroforum, 13(Supplement) 1195.
•	Bethge M , Macke JH , Gerwinn S und Zeck G (April-2007): Identifying temporal population codes in the retina using canonical correlation analysis, 31st Göttingen Neurobiology Conference, Göttingen, Germany, Neuroforum, 13(Supplement) 359.
•	Franz MO , Macke JH , Saleem A und Schultz SR (April-2007): Implicit Wiener Series for Estimating Nonlinear Receptive Fields, 31st Göttingen Neurobiology Conference, Göttingen, Germany, Neuroforum, 13(Supplement) 1199.
•	Macke JH , Zeck G und Bethge M (February-2007): Estimating Population Receptive Fields in Space and Time, Computational and Systems Neuroscience Meeting (COSYNE 2007), Salt Lake City, UT, USA.
•	Kienzle W , Macke JH , Wichmann FA , Schölkopf B und Franz MO (February-2007): Nonlinear Receptive Field Analysis: Making Kernel Methods Interpretable, Computational and Systems Neuroscience Meeting (COSYNE 2007), Salt Lake City, UT, USA.
Vorträge (5):
•	Häfner R , Gerwinn S , Macke J und Bethge M (February-2010) Abstract Talk: Implications of correlated neuronal noise in decision making circuits for physiology and behavior, Computational and Systems Neuroscience Meeting (COSYNE 2010), Salt Lake City, UT, USA, Frontiers in Neuroscience, Conference Abstract: Computational and Systems Neuroscience 2010.
•	Macke JH , Opper M und Bethge M (October-2008) Abstract Talk: How pairwise correlations aect the redundancy in large populations of neurons, Bernstein Symposium 2008, München, Germany, Frontiers in Computational Neuroscience, 2008(Conference Abstract: Bernstein Symposium 2008).
•	Ku S-P , Gretton A , Macke J und Logothetis NK (October-2008) Abstract Talk: Pattern recognition methods in classifying fMRI data, 9th Conference of the Junior Neuroscientists of Tübingen (NeNa 2008), Ellwangen, Germany(11).
•	Macke JH , Zeck G und Bethge M (November-2007) Abstract Talk: Estimating receptive fields without spike-triggering, 37th Annual Meeting of the Society for Neuroscience (Neuroscience 2007), San Diego, CA, USA(768.1).
•	Macke J (November-2006) Abstract Talk: Decision-Images: A tool for identifying critical stimulus features, 7th Conference of the Junior Neuroscientists of Tuebingen (NeNa 2006), Oberjoch, Germany 10.