Dane S. Corneil

Affiliations:
  • EPFL, Lausanne, Laboratory of Computational Neuroscience


According to our database1, Dane S. Corneil authored at least 6 papers between 2012 and 2019.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2019
Working memory facilitates reward-modulated Hebbian learning in recurrent neural networks.
CoRR, 2019

2018
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation.
CoRR, 2018

Efficient ModelBased Deep Reinforcement Learning with Variational State Tabulation.
Proceedings of the 35th International Conference on Machine Learning, 2018

2015
Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze-like Environments.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2012
Real-time inference in a VLSI spiking neural network.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

Function approximation with uncertainty propagation in a VLSI spiking neural network.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012


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