Bernstein Research Group Leader

Dr. Jakob Macke
Opens internal link in current windowDr. Jakob Macke

Max Planck Institute for Biological Cybernetics
Spemann Str. 41, 72076 Tübingen
Phone: +49 7071 601-1721
Opens window for sending emailjakob.macke[at]tuebingen.mpg.de
 

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Publication List Research Group Macke

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2017

Artikel (1):

Nonnenmacher M, Behrens C, Berens P, Bethge M und Macke JH (Oktober-2017) Signatures of criticality arise from random subsampling in simple population models PLoS Computational Biology 13(10) 1-23.

Vorträge (2):

Goncalves P, Luckmann J-M, Bassetto G, Nonnenmacher M und Macke J (August-2017) Abstract Talk: Flexible Bayesian inference for complex models of single neurons, Twenty-Sixth Annual Computational Neuroscience Meeting (CNS*2017), Antwerpen, Belgium, BMC Neuroscience, 18(Supplement 1) 58.
Macke J (Januar-23-2017) Invited Lecture: Correlations and signatures of criticality in neural population models, Double Feature Workshop: Bernstein Symposium & Kick-Off Symposium, Tübingen, Germany.

2016

Artikel (2):

Schütt HH, Harmeling S, Macke JH und Wichmann FA (Mai-2016) Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data Vision Research 122 105–123.
Park H, Lueckmann J-M, von Kriegstein K, Bitzer S und Kiebel SJ (Januar-2016) Spatiotemporal dynamics of random stimuli account for trial-to-trial variability in perceptual decision making Scientific Reports 6(18832) 1-17.

Beiträge zu Tagungsbänden (1):

Park M, Bohner G und Macke J (2016) Unlocking neural population non-stationarity using a hierarchical dynamics model In: Advances in Neural Information Processing Systems 28, , Twenty-Ninth Annual Conference on Neural Information Processing Systems (NIPS 2015), Curran, Red Hook, NY, USA, 145-153.
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Poster (2):

Bassetto G und Macke J (September-21-2016): Full Bayesian inference for model-based receptive field estimation, with application to primary visual cortex, Bernstein Conference 2016, Berlin, Germany.
Nonnenmacher M, Buesing L, Speiser A, Turaga S und Macke JH (Februar-27-2016): Stitching neural activity in space and time: theory and practice, Computational and Systems Neuroscience Meeting (COSYNE 2016), Salt Lake City, UT, USA.

2015

Artikel (2):

Panzeri S, Macke JH, Gross J und Kayser C (März-2015) Neural population coding: combining insights from microscopic and mass signals Trends in Cognitive Sciences 19(3) 162–172.
Küffner R, Zach N, Norel R, Hawe J, Schoenfeld D, Wang L, Li G, Fang L, Mackey L, Hardiman O, Cudkowicz M, Sherman A, Ertaylan G, Grosse-Wentrup M, Hothorn T, van Ligtenberg J, Macke JH, Meyer T, Schölkopf B, Tran L, Vaughan R, Stolovitzky G und Leitner ML (Januar-2015) Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression Nature Biotechnology 33(1) 51-57.

Beiträge zu Tagungsbänden (2):

Putzky P, Franzen F, Bassetto G und Macke JH (2015) A Bayesian model for identifying hierarchically organised states in neural population activity In: Advances in Neural Information Processing Systems 27, , Twenty-Eighth Annual Conference on Neural Information Processing Systems (NIPS 2014), Curran, Red Hook, NY, USA, 3095-3103.
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Archer EW, Koster U, Pillow JW und Macke JH (2015) Low-dimensional models of neural population activity in sensory cortical circuits In: Advances in Neural Information Processing Systems 27, , Twenty-Eighth Annual Conference on Neural Information Processing Systems (NIPS 2014), Curran, Red Hook, NY, USA, 343-351.
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Beiträge zu Büchern (2):

Macke JH: Electrophysiology Analysis, Bayesian, 1078-1082. In: Encyclopedia of Computational Neuroscience, (Ed) D. Jaeger, Springer, New York, NY, USA, (2015).
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Macke JH, Buesing L und Sahani M: Estimating State and Parameters in State Space Models of Spike Trains, 137-159. In: Advanced State Space Methods for Neural and Clinical Data, (Ed) Z. Chen, Cambridge University Press, Cambridge, UK, (2015).
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Technische Berichte (1):

Park M und Macke JH: Hierarchical models for neural population dynamics in the presence of non-stationarity, -, (Januar-2015).

Poster (6):

Nonnenmacher M, Behrens C, Berens P, Bethge M und Macke JH (Oktober-20-2015): Correlations and signatures of criticality in neural population models, 45th Annual Meeting of the Society for Neuroscience (Neuroscience 2015), Chicago, IL, USA.
Czubayko U, Bassetto G, Narayanan RT, Oberlaender M, Macke JH und Kerr JND (Oktober-18-2015): Anatomical basis of spiking correlation in upper layers of somatosensory cortex, 45th Annual Meeting of the Society for Neuroscience (Neuroscience 2015), Chicago, IL, USA.
Bassetto G, Sandhaeger F, Ecker A und Macke JH (September-16-2015): A statistical characterization of neural population responses in V1, Bernstein Conference 2015, Heidelberg, Germany.
Schütt H, Harmeling S, Macke J und Wichmann F (September-2015): Psignifit 4: Pain-free Bayesian Inference for Psychometric Functions, 15th Annual Meeting of the Vision Sciences Society (VSS 2015), St. Pete Beach, FL, USA, Journal of Vision, 15(12) 474.
Park H, Lueckmann J-M, von Kriegstein K, Bitzer S und Kiebel S (Juni-16-2015): Dynamics of Random Stimuli account for Trial-to-trial Variability in Perceptual Decision Making, 21st Annual Meeting of the Organization for Human Brain Mapping (OHBM 2015), Honolulu, HI, USA.
Nonnenmacher M, Behrens C, Berens P, Bethge M und Macke J (März-7-2015): Correlations and signatures of criticality in neural population models, Computational and Systems Neuroscience Meeting (COSYNE 2015), Salt Lake City, UT, USA.

Vorträge (5):

Macke J (Dezember-11-2015) Invited Lecture: 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.
Macke J (Oktober-29-2015) Invited Lecture: 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.
Nonnenmacher M, Behrens C, Berens P, Bethge M und Macke J (September-16-2015) Invited Lecture: Correlations and signatures of criticality in neural population models, Bernstein Conference 2015, Heidelberg, Germany 27-28.
Macke J (April-2-2015) Invited Lecture: Correlations, criticality and common input, University of Zurich: Swiss Computational Neuroscience Seminars, Zürich, Switzerland.
Macke J (März-9-2015) Invited Lecture: Dissecting choice-probabilities in V2 neurons using serial dependence, COSYNE 2015 Workshops, Snowbird, UT, USA.

2014

Artikel (2):

Archer E, Park IM und Pillow JW (Oktober-2014) Bayesian Entropy Estimation for Countable Discrete Distributions Journal of Machine Learning Research 15 2833−2868.
Fründ I, Wichmann FA und Macke J (Juni-2014) Quantifying the effect of intertrial dependence on perceptual decisions Journal of Vision 14(7:9) 1-16.

Beiträge zu Tagungsbänden (1):

Turaga SC, Buesing L, Packer AM, Dalgleish H, Pettit N, Hausser M und Macke JH (2014) Inferring neural population dynamics from multiple partial recordings of the same neural circuit In: Advances in Neural Information Processing Systems 26, , Twenty-Seventh Annual Conference on Neural Information Processing Systems (NIPS 2013), Curran, Red Hook, NY, USA, 539-547.
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Poster (8):

Nienborg H und Macke JH (November-17-2014): Using sequential dependencies in neural activity and behavior to dissect choice related activity in V2, 44th Annual Meeting of the Society for Neuroscience (Neuroscience 2014), Washington, DC, USA.
Archer E, Pillow J und Macke J (Oktober-2014): Low Dimensional Dynamical Models of Neural Populations with Common Input, 15th Conference of Junior Neuroscientists of Tübingen (NeNa 2014): The Changing Face of Publishing and Scientific Evaluation, Schramberg, Germany.
Archer E, Pillow JW und Macke JH (September-3-2014): Low-dimensional dynamical neural population models with shared stimulus drive, Bernstein Conference 2014, Göttingen, Germany.
Nienborg H und Macke JH (September-3-2014): Using sequential dependencies in neural activity and behavior to dissect choice related activity in V2, Bernstein Conference 2014, Göttingen, Germany.
Schütt H, Harmeling S, Macke J und Wichmann F (August-2014): Pain-free bayesian inference for psychometric functions, 37th European Conference on Visual Perception (ECVP 2014), Beograd, Serbia, Perception, 43(ECVP Abstract Supplement) 162.
Archer E, Pillow JW und Macke J (März-2014): Low-dimensional models of neural population recordings with complex stimulus selectivity, Computational and Systems Neuroscience Meeting (COSYNE 2014), Salt Lake City, UT, USA.
Turaga SC, Buesing L, Packer A, Dalgleish H, Pettit N, Hauser M und Macke J (März-2014): Predicting noise correlations for non-simultaneously measured neuron pairs, Computational and Systems Neuroscience Meeting (COSYNE 2014), Salt Lake City, UT, USA.
Park IM, Archer E, Latimer K und Pillow JW (März-2014): Scalable nonparametric models for binary spike patterns, Computational and Systems Neuroscience Meeting (COSYNE 2014), Salt Lake City, UT, USA.

Vorträge (1):

Macke JH (Mai-2014) Invited Lecture: Statistical methods for characterizing cortical population activity, Osnabrück Computational Cognition Alliance Meeting on "The Brain as a Probabilistic Inference Engine" (OCCAM 2014), Osnabrück, Germany.

2013

Artikel (3):

Watanabe M, Bartels A, Macke JH, Murayama Y und Logothetis NK (November-2013) Temporal Jitter of the BOLD Signal Reveals a Reliable Initial Dip and Improved Spatial Resolution Current Biology 23(21) 2146–2150.
Macke JH, Murray I und Latham PE (August-2013) Estimation bias in maximum entropy models Entropy 15(8) 3109-3219.
Haefner RM, Gerwinn S, Macke JH und Bethge M (Februar-2013) Inferring decoding strategies from choice probabilities in the presence of correlated variability Nature Neuroscience 16(2) 235–242.

Poster (3):

Turaga SC, Buesing L, Packer M, Hausser M und Macke JH (November-13-2013): Inferring interactions between cell types from multiple calcium imaging snapshots of the same neural circuit, 43rd Annual Meeting of the Society for Neuroscience (Neuroscience 2013), San Diego, CA, USA.
Macke J, Murray I und Latham P (März-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 (März-2013): Robust estimation for neural state-space models, Computational and Systems Neuroscience Meeting (COSYNE 2013), Salt Lake City, UT, USA.

Vorträge (3):

Macke J (Oktober-25-2013) Invited Lecture: 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.
Macke J (September-9-2013) Invited Lecture: Characterizing the dynamics of large neural populations, ICB Institute of Computational Biology: Helmholtz Zentrum, München, Germany.
Macke J (August-25-2013) Invited Lecture: B8: Statistical Modelling of Psychophysical Data, 36th European Conference on Visual Perception (ECVP 2013), Bremen, Germany, Perception, 42(ECVP Abstract Supplement) 4.

2012

Artikel (1):

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.

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Last updated: Montag, 03.11.2014