Christian K. Machens

Orcid: 0000-0003-1717-1562

According to our database1, Christian K. Machens authored at least 24 papers between 2001 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Approximating nonlinear functions with latent boundaries in low-rank excitatory-inhibitory spiking networks.
CoRR, 2023

Uncovering motifs of concurrent signaling across multiple neuronal populations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Disentangling the flow of signals between populations of neurons.
Nat. Comput. Sci., 2022

2020
Learning to represent signals spike by spike.
PLoS Comput. Biol., 2020

Biological credit assignment through dynamic inversion of feedforward networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Understanding spiking networks through convex optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Compact task representations as a normative model for higher-order brain activity.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018
Learning Nonlinear Dynamics in Efficient, Balanced Spiking Networks Using Local Plasticity Rules.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2015
On the Number of Neurons and Time Scale of Integration Underlying the Formation of Percepts in the Brain.
PLoS Comput. Biol., 2015

2014
Sensory Coding, Efficiency.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Unsupervised learning of an efficient short-term memory network.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Extracting Latent Structure From Multiple Interacting Neural Populations.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Predictive Coding of Dynamical Variables in Balanced Spiking Networks.
PLoS Comput. Biol., 2013

Firing rate predictions in optimal balanced networks.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
Learning optimal spike-based representations.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Demixed Principal Component Analysis.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
Demixing Population Activity in Higher Cortical Areas.
Frontiers Comput. Neurosci., 2010

Linear readout from a neural population with partial correlation data.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2008
Design of Continuous Attractor Networks with Monotonic Tuning Using a Symmetry Principle.
Neural Comput., 2008

2004
Searching for Optimal Sensory Signals: Iterative Stimulus Reconstruction in Closed-Loop Experiments.
J. Comput. Neurosci., 2004

2002
Sensory coding in natural environments
PhD thesis, 2002

Energy-Efficient Coding with Discrete Stochastic Events.
Neural Comput., 2002

Spectro-Temporal Receptive Fields of Subthreshold Responses in Auditory Cortex.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Discrimination of behaviorally relevant signals by auditory receptor neurons.
Neurocomputing, 2001


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