| Year |
Citation |
Score |
| 2024 |
Podlaski WF, Machens CK. Approximating Nonlinear Functions With Latent Boundaries in Low-Rank Excitatory-Inhibitory Spiking Networks. Neural Computation. 36: 803-857. PMID 38658028 DOI: 10.1162/neco_a_01658 |
0.364 |
|
| 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 |
0.691 |
|
| 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 |
0.71 |
|
| 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 |
0.711 |
|
| 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 |
0.611 |
|
| 2016 |
Denève S, Machens CK. Efficient codes and balanced networks. Nature Neuroscience. 19: 375-82. PMID 26906504 DOI: 10.1038/nn.4243 |
0.71 |
|
| 2016 |
Barrett DG, Denève S, Machens CK. Author response: Optimal compensation for neuron loss Elife. DOI: 10.7554/Elife.12454.017 |
0.738 |
|
| 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 |
0.539 |
|
| 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 |
0.758 |
|
| 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. |
0.386 |
|
| 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 |
0.738 |
|
| 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. |
0.478 |
|
| 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 |
0.691 |
|
| 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 |
0.78 |
|
| 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 |
0.787 |
|
| 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 |
0.736 |
|
| 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 |
0.764 |
|
| 2003 |
Machens CK, Zador A. Auditory modeling gets an edge. Journal of Neurophysiology. 90: 3581-2. PMID 14665682 DOI: 10.1152/jn.00832.2003 |
0.667 |
|
| 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. |
0.673 |
|
| 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 |
0.731 |
|
| 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 |
0.785 |
|
| 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 |
0.726 |
|
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