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ORCIDChristian K. Machens
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Books and Theses
- 2002
[b1]Christian K. Machens:
Sensory coding in natural environments. HU Berlin, Germany, 2002
Journal Articles
- 2024
- [j10]William F. Podlaski, Christian K. Machens:
Approximating Nonlinear Functions With Latent Boundaries in Low-Rank Excitatory-Inhibitory Spiking Networks. Neural Comput. 36(5): 803-857 (2024) - 2022
- [j9]Evren Gokcen
, Anna Jasper, João D. Semedo, Amin Zandvakili, Adam Kohn, Christian K. Machens, Byron M. Yu:
Disentangling the flow of signals between populations of neurons. Nat. Comput. Sci. 2(8): 512-525 (2022) - 2020
- [j8]Wieland Brendel, Ralph Bourdoukan, Pietro Vertechi, Christian K. Machens, Sophie Denève:
Learning to represent signals spike by spike. PLoS Comput. Biol. 16(3) (2020) - 2015
- [j7]Adrien Wohrer, Christian K. Machens:
On the Number of Neurons and Time Scale of Integration Underlying the Formation of Percepts in the Brain. PLoS Comput. Biol. 11(3) (2015) - 2013
- [j6]Martin Boerlin, Christian K. Machens, Sophie Denève:
Predictive Coding of Dynamical Variables in Balanced Spiking Networks. PLoS Comput. Biol. 9(11) (2013) - 2010
- [j5]Christian K. Machens:
Demixing Population Activity in Higher Cortical Areas. Frontiers Comput. Neurosci. 4: 126 (2010) - 2008
- [j4]Christian K. Machens, Carlos D. Brody:
Design of Continuous Attractor Networks with Monotonic Tuning Using a Symmetry Principle. Neural Comput. 20(2): 452-485 (2008) - 2004
- [j3]Fredrik Edin, Christian K. Machens, Hartmut Schütze, Andreas V. M. Herz:
Searching for Optimal Sensory Signals: Iterative Stimulus Reconstruction in Closed-Loop Experiments. J. Comput. Neurosci. 17(1): 47-56 (2004) - 2002
- [j2]Susanne Schreiber, Christian K. Machens, Andreas V. M. Herz, Simon B. Laughlin:
Energy-Efficient Coding with Discrete Stochastic Events. Neural Comput. 14(6): 1323-1346 (2002) - 2001
- [j1]Christian K. Machens, P. Prinz, Martin B. Stemmler, Bernhard Ronacher, Andreas V. M. Herz:
Discrimination of behaviorally relevant signals by auditory receptor neurons. Neurocomputing 38-40: 263-268 (2001)
Conference and Workshop Papers
- 2024
- [c13]Thomas Soares Mullen, Marine Schimel, Guillaume Hennequin, Christian K. Machens, Michael B. Orger, Adrien Jouary:
Learning interpretable control inputs and dynamics underlying animal locomotion. ICLR 2024 - 2023
- [c12]Evren Gokcen, Anna Jasper, Alison Xu, Adam Kohn, Christian K. Machens, Byron M. Yu:
Uncovering motifs of concurrent signaling across multiple neuronal populations. NeurIPS 2023 - 2020
- [c11]Severin Berger, Christian K. Machens:
Compact task representations as a normative model for higher-order brain activity. NeurIPS 2020 - [c10]Allan Mancoo, Sander W. Keemink, Christian K. Machens:
Understanding spiking networks through convex optimization. NeurIPS 2020 - [c9]William F. Podlaski, Christian K. Machens:
Biological credit assignment through dynamic inversion of feedforward networks. NeurIPS 2020 - 2018
- [c8]Alireza Alemi, Christian K. Machens, Sophie Denève, Jean-Jacques E. Slotine:
Learning Nonlinear Dynamics in Efficient, Balanced Spiking Networks Using Local Plasticity Rules. AAAI 2018: 588-595 - 2014
- [c7]João D. Semedo, Amin Zandvakili, Adam Kohn, Christian K. Machens, Byron M. Yu:
Extracting Latent Structure From Multiple Interacting Neural Populations. NIPS 2014: 2942-2950 - [c6]Pietro Vertechi, Wieland Brendel, Christian K. Machens:
Unsupervised learning of an efficient short-term memory network. NIPS 2014: 3653-3661 - 2013
- [c5]David G. T. Barrett, Sophie Denève, Christian K. Machens:
Firing rate predictions in optimal balanced networks. NIPS 2013: 1538-1546 - 2012
- [c4]Ralph Bourdoukan, David G. T. Barrett, Christian K. Machens, Sophie Denève:
Learning optimal spike-based representations. NIPS 2012: 2294-2302 - 2011
- [c3]Wieland Brendel, Ranulfo Romo, Christian K. Machens:
Demixed Principal Component Analysis. NIPS 2011: 2654-2662 - 2010
- [c2]Adrien Wohrer, Ranulfo Romo, Christian K. Machens:
Linear readout from a neural population with partial correlation data. NIPS 2010: 2469-2477 - 2002
- [c1]Christian K. Machens, Michael Wehr, Anthony M. Zador:
Spectro-Temporal Receptive Fields of Subthreshold Responses in Auditory Cortex. NIPS 2002: 133-140
Reference Works
- 2014
- [r1]Franz Weber, Christian K. Machens:
Sensory Coding, Efficiency. Encyclopedia of Computational Neuroscience 2014
Informal and Other Publications
- 2023
- [i2]William F. Podlaski, Christian K. Machens:
Approximating nonlinear functions with latent boundaries in low-rank excitatory-inhibitory spiking networks. CoRR abs/2307.09334 (2023) - 2020
- [i1]William F. Podlaski, Christian K. Machens:
Biological credit assignment through dynamic inversion of feedforward networks. CoRR abs/2007.05112 (2020)
Coauthor Index
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