Christian K. Machens

École Normale Supérieure, Paris, Paris, France 
 University of Munich, München, Bayern, Germany 
Computation & Theory
"Christian Machens"
Mean distance: 13.05 (cluster 17)
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Brendel W, Bourdoukan R, Vertechi P, et al. (2020) Learning to represent signals spike by spike. Plos Computational Biology. 16: e1007692
Kobak D, Pardo-Vazquez JL, Valente M, et al. (2019) State-dependent geometry of population activity in rat auditory cortex. Elife. 8
Barrett DT, Denève S, Machens CK. (2016) Optimal compensation for neuron loss. Elife. 5
Kobak D, Brendel W, Constantinidis C, et al. (2016) Demixed principal component analysis of neural population data. Elife. 5
Denève S, Machens CK. (2016) Efficient codes and balanced networks. Nature Neuroscience. 19: 375-82
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: e1004082
Renart A, Machens CK. (2014) Variability in neural activity and behavior. Current Opinion in Neurobiology. 25: 211-20
Gonçalves PJ, Arrenberg AB, Hablitzel B, et al. (2014) Optogenetic perturbations reveal the dynamics of an oculomotor integrator. Frontiers in 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. 4: 3653-3661
Semedo JD, Zandvakili A, Kohn A, et al. (2014) Extracting latent structure from multiple interacting neural populations Advances in Neural Information Processing Systems. 4: 2942-2950
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