Publications

Brendel W*, Bourdoukan R*, Vertechi P*, Machens CK, Deneve S (2017) Learning to represent signals spike by spike. arXiv:1703.03777. Supplementary Material: Text

Barrett DGT, Deneve S, Machens CK (2016) Optimal compensation for neuron loss. eLife 5: e12454. Supplementary Material: Simulation Code
Tian J, Huang R, Cohen J, Osakada F, Kobak D, Machens CK, Callaway EM, Uchida N, Watabe-Uchida M (2016) Distributed and mixed information in monosynaptic inputs to dopamine neurons. Neuron 91(6):1374-1389.
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 5: e10989. Supplementary Material: dPCA Code, Romo Data, Constantinidis data, Feierstein Data, Uchida Data
Deneve S, Machens CK (2016) Efficient codes and balanced networks. Nature Neuroscience 19(3):375-382.

Gouvêa* TS, Monteiro* T, Motiwala A, Soares S, Machens CK, Paton JJ (2015) Striatal dynamics explain duration judgments. eLife 4: e11386.
Wohrer A, Machens CK (2015) On the number of neurons and time scale of integration underlying the formation of percepts in the brain. PLoS Computational Biology 11(3):e1004082.
Weber F, Machens CK (2015) Sensory Coding, Efficiency. In: Encyclopedia of Computational Neuroscience (Jaeger D, Jung R, ed.), pages 2658–2667. Springer.

Renart A, Machens CK (2014) Variability in neural activity and behavior. Current Opinion in Neurobioly. 25: 211-220.
Gonçalves PJ, Arrenberg AB, Hablitzel B, Baier H, Machens CK (2014) Optogenetic perturbations reveal the dynamics of an oculomotor integrator. Frontiers Neural Circuits 8:10.
Vertechi P*, Brendel W*, Machens CK (2014) Unsupervised learning of an efficient short-term memory network. Advances in Neural Information Processing Systems 27:3653-3661. Supplementary Material: Text
Semedo J, Zandvakili A, Kohn A, Machens CK*, Yu B* (2014) Extracting latent structure from multiple interacting neural populations. Advances in Neural Information Processing Systems 27:2942-2950.

Boerlin M, Machens CK, Deneve S (2013) Predictive coding of dynamical variables in balanced spiking networks. PLoS Computational Biology 9(11):e1003258. Supplementary Material: Text
Barrett DGT, Deneve S, Machens CK (2013) Firing rate predictions in optimal balanced networks. Advances in Neural Information Processing Systems 26:1538-1546.
Wohrer A, Machens CK (2013) Percept and the single neuron. Nature Neuroscience 16(2):112-113.
Wohrer A, Humphries MD, Machens CK (2013) Population-wide distributions of neural activity during perceptual decision-making. Progress in Neurobiology 103:156-193.

Machens CK (2012) Neuroscience. Building the human brain. Science 338(6111):1156-1157.
Weber F, Machens CK, Borst A (2012) Disentangling the functional consequences of the connectivity between optic-flow processing neurons. Nature Neuroscience 15:441–448. Supplementary Material: Text
Bourdoukan R*, Barrett DGT*, Machens CK, Deneve S (2012) Learning optimal spike-based representations. Advances in Neural Information Processing Systems 25:2285-2293.

Brendel W, Romo R, Machens CK (2011) Demixed principal component analysis. Advances in Neural Information Processing Systems 24:2654-2662.

Machens CK (2010) Demixing population activity in higher cortical areas. Frontiers Computational Neuroscience 4:126.
Weber F, Machens CK, Borst A (2010) Spatio-temporal response properties of optic-flow processing neurons. Neuron 67:628-641. Supplementary Material: Text
Machens CK, Romo R, Brody CD (2010) Functional, but not anatomical, separation of “what” and “when” in prefrontal cortex. Journal of Neuroscience 30(1):350-360. Supplementary Material: Text
Wohrer A, Romo R, Machens CK (2010) Linear readout from a neural population with partial correlation data. Advances in Neural Information Processing Systems 23: 2469-2477.

Machens CK, Gollisch T, Kolesnikova O, Herz AVM (2005) Testing the efficiency of sensory coding with optimal stimulus ensembles. Neuron 47(3):447-456. Supplementary Material: Text
Machens CK, Romo R, Brody CD (2005) Flexible control of mutual inhibition: a neural model of two-interval discrimination. Science 307 , 1121-1124. Supplementary Material: Text
Herz AVM, Benda J, Gollisch T, Machens CK, Schaette R, Schutze H, Stemmler MB (2005) Auditory processing of acoustic communication signals: sensory biophysics, neural coding, and discrimination of conspecific song. In: Methods in Insect Sensory Neuroscience (Christensen TA, ed.), pages 129–156. CRC Press.

Machens CK, Wehr MS, Zador AM (2004) Linearity of cortical receptive fields measured with natural sounds. Journal of Neuroscience 24(5):1089-1100.
Edin F, Machens CK, Schütze H, Herz AVM (2004) Searching for optimal sensory signals: iterative stimulus reconstruction in closed-loop experiments. Journal of Computational Neuroscience 17(1):47-56.

Machens CK, Schütze H, Franz A, Kolesnikova O, Stemmler MB, Ronacher B, Herz AVM (2003) Single auditory neurons rapidly discriminate conspecific communication signals. Nature Neuroscience 6(4):341-342.
Machens CK, Zador AM (2003) Auditory modeling gets an edge. Journal of Neurophysiology 90(6):3581-3582.
Machens CK, Wehr M, Zador AM (2003) Spectro-temporal receptive fields of subthreshold responses in auditory cortex. Advances in Neural Information Processing Systems 15:149-156.

Machens CK (2002) Adaptive sampling by information maximization. Physical Review Letters 88:228104.
Schreiber S, Machens CK, Herz AVM, Laughlin SB (2002) Energy-efficient coding with discrete stochastic events. Neural Computation 14 (6):1323-1346.

Machens CK, Stemmler MB, Prinz P, Krahe R, Ronacher B, Herz AVM (2001) Representation of acoustic communication signals in insect auditory receptors. Journal of Neuroscience 21(9):3215-3227.
Machens CK, Prinz P, Stemmler MB, Ronacher B, Herz AVM (2001) Discrimination of behaviorally relevant signals by auditory receptor neurons. Neurocomputing 38, 263-268.