← Authors

Christian K. Machens

11 papers · 2010–2024 · 2 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (2) πŸƒ Academic Marathon (14) 🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer πŸ† Keyword Champion πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (68) πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (11)

Conferences

NIPS (10) ICLR (1)

Top co-authors

Sophie Deneve (2) Ranulfo Romo (2) Byron M. Yu (2) Adam Kohn (2) Wieland Brendel (2) Bill Podlaski (1) Michael Orger (1) Adrien Jouary (1) Severin Berger (1) Evren Gokcen (1)

Keywords

neural population (3) firing rate (2) spiking neural network (2) dimensionality reduction (2) population coding (2) unsupervised learning (2) short-term memory (2) neural network (2) principal component analysis (1) model-based learning (1) feature extraction (1) wishart distribution (1) expectation maximization (1) markov decision process (1) neural computation (1) convex optimization (1) state representation (1) canonical correlation analysis (1) linear programming (1) signal representation (1)

Papers

Learning interpretable control inputs and dynamics underlying animal locomotion ICLR 2024
Uncovering motifs of concurrent signaling across multiple neuronal populations NIPS 2023
Understanding spiking networks through convex optimization NIPS 2020
Compact task representations as a normative model for higher-order brain activity NIPS 2020
Biological credit assignment through dynamic inversion of feedforward networks NIPS 2020
Unsupervised learning of an efficient short-term memory network NIPS 2014
Extracting Latent Structure From Multiple Interacting Neural Populations NIPS 2014
Firing rate predictions in optimal balanced networks NIPS 2013
Learning optimal spike-based representations NIPS 2012
Demixed Principal Component Analysis NIPS 2011
Linear readout from a neural population with partial correlation data NIPS 2010