Christian K. Machens - Publications

Affiliations: 
École normale supérieure Paris, Paris, Île-de-France, France 
 University of Munich, München, Bayern, Germany 
Area:
Computation & Theory
Website:
http://iec-lnc.ens.fr/group-for-neural-theory/

46 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Feierstein CE, de Goeij MHM, Ostrovsky AD, Laborde A, Portugues R, Orger MB, Machens CK. Dimensionality reduction reveals separate translation and rotation populations in the zebrafish hindbrain. Current Biology : Cb. 33: 3911-3925.e6. PMID 37689065 DOI: 10.1016/j.cub.2023.08.037  0.317
2022 Cruz BF, Guiomar G, Soares S, Motiwala A, Machens CK, Paton JJ. Action suppression reveals opponent parallel control via striatal circuits. Nature. PMID 35794480 DOI: 10.1038/s41586-022-04894-9  0.774
2022 Motiwala A, Soares S, Atallah BV, Paton JJ, Machens CK. Efficient coding of cognitive variables underlies dopamine response and choice behavior. Nature Neuroscience. 25: 738-748. PMID 35668173 DOI: 10.1038/s41593-022-01085-7  0.769
2022 Calaim N, Dehmelt FA, Gonçalves PJ, Machens CK. The geometry of robustness in spiking neural networks. Elife. 11. PMID 35635432 DOI: 10.7554/eLife.73276  0.692
2020 Kohn A, Jasper AI, Semedo JD, Gokcen E, Machens CK, Yu BM. Principles of Corticocortical Communication: Proposed Schemes and Design Considerations. Trends in Neurosciences. PMID 32771224 DOI: 10.1016/J.Tins.2020.07.001  0.3
2020 Brendel W, Bourdoukan R, Vertechi P, Machens CK, Denève S. Learning to represent signals spike by spike. Plos Computational Biology. 16: e1007692. PMID 32176682 DOI: 10.1371/journal.pcbi.1007692  0.711
2019 Keemink SW, Machens CK. Decoding and encoding (de)mixed population responses. Current Opinion in Neurobiology. 58: 112-121. PMID 31563083 DOI: 10.1016/j.conb.2019.09.004  0.427
2019 Kobak D, Pardo-Vazquez JL, Valente M, Machens CK, Renart A. State-dependent geometry of population activity in rat auditory cortex. Elife. 8. PMID 30969167 DOI: 10.7554/Elife.44526  0.352
2019 Semedo JD, Zandvakili A, Machens CK, Yu BM, Kohn A. Cortical Areas Interact through a Communication Subspace. Neuron. PMID 30770252 DOI: 10.1016/J.Neuron.2019.01.026  0.327
2019 Diedrichsen J, Machens CK. Decision letter: Motor cortex signals for each arm are mixed across hemispheres and neurons yet partitioned within the population response Elife. DOI: 10.7554/Elife.46159.026  0.38
2016 Barrett DT, Denève S, Machens CK. Optimal compensation for neuron loss. Elife. 5. PMID 27935480 DOI: 10.7554/Elife.12454  0.712
2016 Tian J, Huang R, Cohen JY, Osakada F, Kobak D, Machens CK, Callaway EM, Uchida N, Watabe-Uchida M. Distributed and Mixed Information in Monosynaptic Inputs to Dopamine Neurons. Neuron. PMID 27618675 DOI: 10.1016/J.Neuron.2016.08.018  0.435
2016 Kobak D, Brendel W, Constantinidis C, Feierstein CE, Kepecs A, Mainen ZF, Romo R, Qi XL, Uchida N, Machens CK. Demixed principal component analysis of neural population data. Elife. 5. PMID 27067378 DOI: 10.7554/eLife.10989  0.612
2016 Denève S, Machens CK. Efficient codes and balanced networks. Nature Neuroscience. 19: 375-82. PMID 26906504 DOI: 10.1038/nn.4243  0.711
2016 Barrett DG, Denève S, Machens CK. Author response: Optimal compensation for neuron loss Elife. DOI: 10.7554/Elife.12454.017  0.74
2016 Kobak D, Brendel W, Constantinidis C, Feierstein CE, Kepecs A, Mainen ZF, Qi X, Romo R, Uchida N, Machens CK. Author response: Demixed principal component analysis of neural population data Elife. DOI: 10.7554/Elife.10989.022  0.54
2015 Gouvêa TS, Monteiro T, Motiwala A, Soares S, Machens C, Paton JJ. Striatal dynamics explain duration judgments. Elife. 4. PMID 26641377 DOI: 10.7554/Elife.11386  0.788
2015 Wohrer A, Machens CK. On the number of neurons and time scale of integration underlying the formation of percepts in the brain. Plos Computational Biology. 11: e1004082. PMID 25793393 DOI: 10.1371/Journal.Pcbi.1004082  0.488
2015 Gouvêa TS, Monteiro T, Motiwala A, Soares S, Machens C, Paton JJ. Author response: Striatal dynamics explain duration judgments Elife. DOI: 10.7554/Elife.11386.019  0.749
2014 Renart A, Machens CK. Variability in neural activity and behavior. Current Opinion in Neurobiology. 25: 211-20. PMID 24632334 DOI: 10.1016/J.Conb.2014.02.013  0.318
2014 Gonçalves PJ, Arrenberg AB, Hablitzel B, Baier H, Machens CK. Optogenetic perturbations reveal the dynamics of an oculomotor integrator. Frontiers in Neural Circuits. 8: 10. PMID 24616666 DOI: 10.3389/Fncir.2014.00010  0.429
2013 Boerlin M, Machens CK, Denève S. Predictive coding of dynamical variables in balanced spiking networks. Plos Computational Biology. 9: e1003258. PMID 24244113 DOI: 10.1371/journal.pcbi.1003258  0.536
2013 Wohrer A, Machens CK. Percept and the single neuron. Nature Neuroscience. 16: 112-3. PMID 23354380 DOI: 10.1038/Nn.3314  0.453
2013 Wohrer A, Humphries MD, Machens CK. Population-wide distributions of neural activity during perceptual decision-making. Progress in Neurobiology. 103: 156-93. PMID 23123501 DOI: 10.1016/J.Pneurobio.2012.09.004  0.421
2013 Dehmelt FA, Machens CK. Network oscillations in a neural mass model induced by metabolic modulation are consistent with EEG data of neocortical epileptic seizure onset Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P251  0.318
2013 Barrett DG, Denève S, Machens CK. Positive sparse coding of natural images: a theory for simple cell tuning Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P250  0.759
2011 Brendel W, Romo R, MacHens CK. Demixed principal component analysis Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 0.387
2010 Machens CK. Demixing population activity in higher cortical areas. Frontiers in Computational Neuroscience. 4: 126. PMID 21031029 DOI: 10.3389/fncom.2010.00126  0.443
2010 Weber F, Machens CK, Borst A. Spatiotemporal response properties of optic-flow processing neurons. Neuron. 67: 629-42. PMID 20797539 DOI: 10.1016/J.Neuron.2010.07.017  0.485
2010 Machens CK, Romo R, Brody CD. Functional, but not anatomical, separation of "what" and "when" in prefrontal cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 30: 350-60. PMID 20053916 DOI: 10.1523/JNEUROSCI.3276-09.2010  0.74
2010 Wohrer A, Romo R, MacHens C. Linear readout from a neural population with partial correlation data Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 0.479
2009 GonÁalves P, Machens C. A bilateral band attractor model for the oculomotor system Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P175  0.438
2008 Machens CK, Brody CD. Design of continuous attractor networks with monotonic tuning using a symmetry principle. Neural Computation. 20: 452-85. PMID 18047414 DOI: 10.1162/neco.2007.07-06-297  0.694
2007 Benda J, Gollisch T, Machens CK, Herz AV. From response to stimulus: adaptive sampling in sensory physiology. Current Opinion in Neurobiology. 17: 430-6. PMID 17689952 DOI: 10.1016/j.conb.2007.07.009  0.795
2006 Herz AV, Gollisch T, Machens CK, Jaeger D. Modeling single-neuron dynamics and computations: a balance of detail and abstraction. Science (New York, N.Y.). 314: 80-5. PMID 17023649 DOI: 10.1126/science.1127240  0.781
2005 Machens CK, Gollisch T, Kolesnikova O, Herz AV. Testing the efficiency of sensory coding with optimal stimulus ensembles. Neuron. 47: 447-56. PMID 16055067 DOI: 10.1016/j.neuron.2005.06.015  0.788
2005 Machens CK, Romo R, Brody CD. Flexible control of mutual inhibition: a neural model of two-interval discrimination. Science (New York, N.Y.). 307: 1121-4. PMID 15718474 DOI: 10.1126/science.1104171  0.738
2004 Edin F, Machens CK, Schütze H, Herz AV. Searching for optimal sensory signals: iterative stimulus reconstruction in closed-loop experiments. Journal of Computational Neuroscience. 17: 47-56. PMID 15218353 DOI: 10.1023/B:JCNS.0000023868.18446.a2  0.711
2004 Machens CK, Wehr MS, Zador AM. Linearity of cortical receptive fields measured with natural sounds. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 24: 1089-100. PMID 14762127 DOI: 10.1523/JNEUROSCI.4445-03.2004  0.766
2003 Machens CK, Zador A. Auditory modeling gets an edge. Journal of Neurophysiology. 90: 3581-2. PMID 14665682 DOI: 10.1152/jn.00832.2003  0.67
2003 Machens CK, Schütze H, Franz A, Kolesnikova O, Stemmler MB, Ronacher B, Herz AV. Single auditory neurons rapidly discriminate conspecific communication signals. Nature Neuroscience. 6: 341-2. PMID 12652305 DOI: 10.1038/nn1036  0.772
2003 Machens CK, Wehr M, Zador AM. Spectro-temporal receptive fields of subthreshold responses in auditory cortex Advances in Neural Information Processing Systems 0.676
2002 Machens CK. Adaptive sampling by information maximization. Physical Review Letters. 88: 228104. PMID 12059456 DOI: 10.1103/Physrevlett.88.228104  0.334
2002 Schreiber S, Machens CK, Herz AV, Laughlin SB. Energy-efficient coding with discrete stochastic events. Neural Computation. 14: 1323-46. PMID 12020449 DOI: 10.1162/089976602753712963  0.732
2001 Machens CK, Stemmler MB, Prinz P, Krahe R, Ronacher B, Herz AV. Representation of acoustic communication signals by insect auditory receptor neurons. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 21: 3215-27. PMID 11312306 DOI: 10.1523/Jneurosci.21-09-03215.2001  0.786
2001 Machens CK, Prinz P, Stemmler MB, Ronacher B, Herz AVM. Discrimination of behaviorally relevant signals by auditory receptor neurons Neurocomputing. 38: 263-268. DOI: 10.1016/S0925-2312(01)00382-4  0.727
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