Christian K. Machens

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/
Google:
"Christian Machens"
Mean distance: 13.05 (cluster 17)
 
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Publications

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Podlaski WF, Machens CK. (2024) Approximating Nonlinear Functions With Latent Boundaries in Low-Rank Excitatory-Inhibitory Spiking Networks. Neural Computation. 36: 803-857
Feierstein CE, de Goeij MHM, Ostrovsky AD, et al. (2023) Dimensionality reduction reveals separate translation and rotation populations in the zebrafish hindbrain. Current Biology : Cb. 33: 3911-3925.e6
Cruz BF, Guiomar G, Soares S, et al. (2022) Action suppression reveals opponent parallel control via striatal circuits. Nature
Motiwala A, Soares S, Atallah BV, et al. (2022) Efficient coding of cognitive variables underlies dopamine response and choice behavior. Nature Neuroscience. 25: 738-748
Calaim N, Dehmelt FA, Gonçalves PJ, et al. (2022) The geometry of robustness in spiking neural networks. Elife. 11
Kohn A, Jasper AI, Semedo JD, et al. (2020) Principles of Corticocortical Communication: Proposed Schemes and Design Considerations. Trends in Neurosciences
Brendel W, Bourdoukan R, Vertechi P, et al. (2020) Learning to represent signals spike by spike. Plos Computational Biology. 16: e1007692
Keemink SW, Machens CK. (2019) Decoding and encoding (de)mixed population responses. Current Opinion in Neurobiology. 58: 112-121
Kobak D, Pardo-Vazquez JL, Valente M, et al. (2019) State-dependent geometry of population activity in rat auditory cortex. Elife. 8
Semedo JD, Zandvakili A, Machens CK, et al. (2019) Cortical Areas Interact through a Communication Subspace. Neuron
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