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  1. Kobak, Dmitry; Pardo-Vazquez, Jose L.; Valente, Mafalda; Machens, Christian K.; Renart, Alfonso (2019) State-dependent geometry of population activity in rat auditory cortex eLife (doi:10.7554/eLife.44526)

    Jouary, Adrien; Machens, Christian K. (2018) A living display system Nature (doi:10.1038/d41586-018-05909-0)

    Machens C, Fairhall A. (2017) Editorial overview: Computational neuroscience. Curr. Opin. Neurobiol. (doi:10.1016/j.conb.2017.09.009)

    Kobak D, Brendel W, Constantinidis C, Feierstein CE, Kepecs A, Mainen ZF, Romo R, Qi XL, Uchida N, Machens CK. (2016) Demixed principal component analysis of neural population data eLife eLife 2016 (5), e10989 (doi:10.7554/eLife.10989)

    Deneve S, Machens CK (2016) Efficient codes and balanced networks Nat. Neurosci. 19 (3), 375-382 (doi:doi:10.1038/nn.4243)

    Gouvêa* TS, Monteiro* T, Motiwala A, Soares S, Machens CK, Paton JJ (2015) Striatal dynamics explain duration judgments eLife 4 (e11386), [Epub ahead of print] (doi:10.7554/eLife.11386)

    Wohrer A, Machens CK (2015) On the number of neurons and time scale of integration underlying the formation of percepts in the brain. PLoS Comput. Biol. 11 (3), e1004082 (doi:10.1371/journal.pcbi.1004082)

    Renart A, Machens CK (2014) Variability in neural activity and behavior. Curr. Opin. Neurobiol. 25 , 211-220 (doi:10.1016/j.conb.2014.02.013)

    Gonçalves PJ, Arrenberg AB, Hablitzel B, Baier H, Machens CK (2014) Optogenetic perturbations reveal the dynamics of an oculomotor integrator. Front Neural Circuits 8:10 (doi:10.3389/fncir.2014.00010)

    Vertechi P, Brendel W, Machens CK (2014) Unsupervised learning of an efficient short-term memory network Adv Neural Inf Process Syst 27 , 1-9

    Semedo J, Zandvakili A, Kohn A, Machens CK*, Yu B* (2014) Extracting Latent Structure From Multiple Interacting Neural Populations Adv Neural Inf Process Syst 27

    Boerlin M, Machens CK, Deneve S (2013) Predictive Coding of Dynamical Variables in Balanced Spiking Networks PLoS Comput. Biol. 9 (11), e1003258 (doi:http://dx.doi.org/10.1371/journal.pcbi.1003258)

    Barrett DGT, Deneve S, Machens CK (2013) Firing rate predictions in optimal balanced networks Adv Neural Inf Process Syst 26

    Machens CK. (2012) Neuroscience. Building the human brain. Science 338 (6111), 1156-7 (doi:10.1126/science.1231865.)

    Weber F, Machens CK, Borst A. (2012) Disentangling the functional consequences of the connectivity between optic-flow processing neurons. Nat. Neurosci. 15 , 441–448 (doi:10.1038/nn.3044.)

    Machens CK (2010) Demixing population activity in higher cortical areas. Front Comput Neurosci 4 (126) (doi:10.3389/fncom.2010.00126)

    Weber F, Machens CK, Borst A (2010) Spatio-Temporal Response Properties of Optic-Flow Processing Neurons. Neuron 67 , 628-641 (doi:10.1016/j.neuron.2010.07.017)

    Machens CK, Romo R, Brody CD (2010) Functional, but not anatomical, separation of “what” and “when” in prefrontal cortex. J. Neurosci. 30 (1), 350-360 (doi:10.1523/JNEUROSCI.3276-09.2010)

    Wohrer A, Romo R, Machens CK (2010) Linear readout from a neural population with partial correlation data. Adv Neural Inf Process Syst 23

    Machens CK, Brody CD (2008) Design of continuous attractor networks with monotonic tuning using a symmetry principle. Neural Comput 20 (2), 452-485 (doi:10.1162/neco.2007.07-06-297)

    Benda J, Gollisch T, Machens CK, Herz AVM (2007) From response to stimulus: adaptive sampling in sensory physiology. Curr. Opin. Neurobiol. 17 (4), 430-436 (doi:10.1016/j.conb.2007.07.009)

    Herz AV, Gollisch T, Machens CK, Jaeger D. (2006) Modeling single-neuron dynamics and computations: a balance of detail and abstraction. Science 314 , 80-85 (doi:10.1126/science.1127240 )

    Machens CK, Gollisch T, Kolesnikova O, Herz AVM (2005) Testing the efficiency of sensory coding with optimal stimulus ensembles. Neuron 47 (3), 447-456 (doi:10.1016/j.neuron.2005.06.015)

    Machens CK, Romo R, Brody CD (2005) Flexible control of mutual inhibition: a neural model of two-interval discrimination. Science 307 , 1121-1124 (doi:10.1126/science.1104171 )

    Machens CK, Wehr MS, Zador AM (2004) Linearity of cortical receptive fields measured with natural sounds. J. Neurosci. 24 (5), 1089-1100 (doi:10.1523/JNEUROSCI.4445-03.2004)

    Edin F, Machens CK, Schütze H, Herz AV. (2004) Searching for optimal sensory signals: iterative stimulus reconstruction in closed-loop experiments. J Comput Neurosci 17 (1), 47-56 (doi:10.1023/B:JCNS.0000023868.18446.a2)

    Machens CK, Schütze H, Franz A, Kolesnikova O, Stemmler MB, Ronacher B, Herz AV. (2003) Single auditory neurons rapidly discriminate conspecific communication signals. Nat. Neurosci. 6 (4), 341-342 (doi:10.1038/nn1036)

    Machens CK (2002) Adaptive sampling by information maximization. Phys. Rev. Lett. 88 , 228104 (doi: 10.1103/PhysRevLett.88.228104)

    Schreiber S, Machens CK, Herz AVM, Laughlin SB (2002) Energy-efficient coding with discrete stochastic events. Neural Comput 14 (6), 1323-1346 (doi:10.1162/089976602753712963)

    Machens CK, Stemmler MB, Prinz P, Krahe R, Ronacher B, Herz AVM (2001) Representation of acoustic communication signals in insect auditory receptors. J. Neurosci. 21 (9), 3215-3227

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