Daniel Rasmussen

Publication Activity (10 Years)

Years Active: 2011-2020
Publications (10 Years): 3

Top Topics

Hierarchical Reinforcement Learning

Spiking Neural Networks

State Abstraction

Top Venues

Frontiers Neuroinformatics

Neuroinformatics

Publications

Aaron R. Voelker, Daniel Rasmussen, Chris Eliasmith
A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions. CoRR (2020)
Daniel Rasmussen
NengoDL: Combining Deep Learning and Neuromorphic Modelling Methods. Neuroinformatics 17 (4) (2019)
Daniel Rasmussen
NengoDL: Combining deep learning and neuromorphic modelling methods. CoRR (2018)
Daniel Rasmussen, Chris Eliasmith
A neural model of hierarchical reinforcement learning. CogSci (2014)
Trevor Bekolay, James Bergstra, Eric Hunsberger, Travis DeWolf, Terrence C. Stewart, Daniel Rasmussen, Feng-Xuan Choo, Aaron Voelker, Chris Eliasmith
Nengo: a Python tool for building large-scale functional brain models. Frontiers Neuroinformatics 7 (2013)
Daniel Rasmussen, Chris Eliasmith
A neural reinforcement learning model for tasks with unknown time delays. CogSci (2013)
Daniel Rasmussen, Chris Eliasmith
A Neural Model of Rule Generation in Inductive Reasoning. Top. Cogn. Sci. 3 (1) (2011)