Christian K. Machens

32 papers A* 6Journal 17Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Fast Multigroup Gaussian Process Factor Models. Neural Comput. Evren Gokcen, Anna Jasper, Adam Kohn, Christian K. Machens, Byron M. Yu
2025	J	`jnl`	Stochastic activity in low-rank recurrent neural networks. PLoS Comput. Biol. Francesca Mastrogiuseppe, Joana Carmona, Christian K. Machens
2025	J	`jnl`	Three types of remapping with linear decoders: A population-geometric perspective. PLoS Comput. Biol. Guillermo Martín-Sánchez, Christian K. Machens, William F. Podlaski
2024	J	`jnl`	Approximating Nonlinear Functions With Latent Boundaries in Low-Rank Excitatory-Inhibitory Spiking Networks. Neural Comput. William F. Podlaski, Christian K. Machens
2024	J	`jnl`	Fast Multi-Group Gaussian Process Factor Models. CoRR Evren Gokcen, Anna Jasper, Adam Kohn, Christian K. Machens, Byron M. Yu
2024	A*	`conf`	Learning interpretable control inputs and dynamics underlying animal locomotion. ICLR Thomas Soares Mullen, Marine Schimel, Guillaume Hennequin, Christian K. Machens, Michael B. Orger, Adrien Jouary
2024	J	`jnl`	Storing overlapping associative memories on latent manifolds in low-rank spiking networks. CoRR William F. Podlaski, Christian K. Machens
2023	J	`jnl`	Approximating nonlinear functions with latent boundaries in low-rank excitatory-inhibitory spiking networks. CoRR William F. Podlaski, Christian K. Machens
2023	A*	`conf`	Uncovering motifs of concurrent signaling across multiple neuronal populations. NeurIPS Evren Gokcen, Anna Jasper, Alison Xu, Adam Kohn, Christian K. Machens, Byron M. Yu
2022	J	`jnl`	Disentangling the flow of signals between populations of neurons. Nat. Comput. Sci. Evren Gokcen, Anna Jasper, João D. Semedo, Amin Zandvakili, Adam Kohn, Christian K. Machens, Byron M. Yu
2020	A*	`conf`	Biological credit assignment through dynamic inversion of feedforward networks. NeurIPS William F. Podlaski, Christian K. Machens
2020	J	`jnl`	Biological credit assignment through dynamic inversion of feedforward networks. CoRR William F. Podlaski, Christian K. Machens
2020	A*	`conf`	Compact task representations as a normative model for higher-order brain activity. NeurIPS Severin Berger, Christian K. Machens
2020	J	`jnl`	Learning to represent signals spike by spike. PLoS Comput. Biol. Wieland Brendel, Ralph Bourdoukan, Pietro Vertechi, Christian K. Machens, Sophie Denève
2020	A*	`conf`	Understanding spiking networks through convex optimization. NeurIPS Allan Mancoo, Sander W. Keemink, Christian K. Machens
2018	A*	`conf`	Learning Nonlinear Dynamics in Efficient, Balanced Spiking Networks Using Local Plasticity Rules. AAAI Alireza Alemi, Christian K. Machens, Sophie Denève, Jean-Jacques E. Slotine
2015	J	`jnl`	On the Number of Neurons and Time Scale of Integration Underlying the Formation of Percepts in the Brain. PLoS Comput. Biol. Adrien Wohrer, Christian K. Machens
2014	—	`conf`	Extracting Latent Structure From Multiple Interacting Neural Populations. NIPS João D. Semedo, Amin Zandvakili, Adam Kohn, Christian K. Machens, Byron M. Yu
2014	—	`ch.`	Sensory Coding, Efficiency. Encyclopedia of Computational Neuroscience Franz Weber, Christian K. Machens
2014	—	`conf`	Unsupervised learning of an efficient short-term memory network. NIPS Pietro Vertechi, Wieland Brendel, Christian K. Machens
2013	—	`conf`	Firing rate predictions in optimal balanced networks. NIPS David G. T. Barrett, Sophie Denève, Christian K. Machens
2013	J	`jnl`	Predictive Coding of Dynamical Variables in Balanced Spiking Networks. PLoS Comput. Biol. Martin Boerlin, Christian K. Machens, Sophie Denève
2012	—	`conf`	Learning optimal spike-based representations. NIPS Ralph Bourdoukan, David G. T. Barrett, Christian K. Machens, Sophie Denève
2011	—	`conf`	Demixed Principal Component Analysis. NIPS Wieland Brendel, Ranulfo Romo, Christian K. Machens
2010	J	`jnl`	Demixing Population Activity in Higher Cortical Areas. Frontiers Comput. Neurosci. Christian K. Machens
2010	—	`conf`	Linear readout from a neural population with partial correlation data. NIPS Adrien Wohrer, Ranulfo Romo, Christian K. Machens
2008	J	`jnl`	Design of Continuous Attractor Networks with Monotonic Tuning Using a Symmetry Principle. Neural Comput. Christian K. Machens, Carlos D. Brody
2004	J	`jnl`	Searching for Optimal Sensory Signals: Iterative Stimulus Reconstruction in Closed-Loop Experiments. J. Comput. Neurosci. Fredrik Edin, Christian K. Machens, Hartmut Schütze, Andreas V. M. Herz
2002	J	`jnl`	Energy-Efficient Coding with Discrete Stochastic Events. Neural Comput. Susanne Schreiber, Christian K. Machens, Andreas V. M. Herz, Simon B. Laughlin
2002	—	`—`	Sensory coding in natural environments Christian K. Machens
2002	—	`conf`	Spectro-Temporal Receptive Fields of Subthreshold Responses in Auditory Cortex. NIPS Christian K. Machens, Michael Wehr, Anthony M. Zador
2001	J	`jnl`	Discrimination of behaviorally relevant signals by auditory receptor neurons. Neurocomputing Christian K. Machens, P. Prinz, Martin B. Stemmler, Bernhard Ronacher, Andreas V. M. Herz