Dane S. Corneil

Publication Activity (10 Years)

Years Active: 2012-2019
Publications (10 Years): 3

Top Topics

Reinforcement Learning

Function Approximation

Top Venues

Publications

Roman Pogodin, Dane S. Corneil, Alexander Seeholzer, Joseph Heng, Wulfram Gerstner
Working memory facilitates reward-modulated Hebbian learning in recurrent neural networks. CoRR (2019)
Dane S. Corneil, Wulfram Gerstner, Johanni Brea
Efficient ModelBased Deep Reinforcement Learning with Variational State Tabulation. ICML (2018)
Dane S. Corneil, Wulfram Gerstner, Johanni Brea
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation. CoRR (2018)
Dane S. Corneil, Wulfram Gerstner
Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze-like Environments. NIPS (2015)
Dane S. Corneil, Daniel Sonnleithner, Emre Neftci, Elisabetta Chicca, Matthew Cook, Giacomo Indiveri, Rodney J. Douglas
Function approximation with uncertainty propagation in a VLSI spiking neural network. IJCNN (2012)
Dane S. Corneil, Daniel Sonnleithner, Emre Neftci, Elisabetta Chicca, Matthew Cook, Giacomo Indiveri, Rodney J. Douglas
Real-time inference in a VLSI spiking neural network. ISCAS (2012)