Journal Articles


A neural model of hierarchical reinforcement learning

Rasmussen, D. and Eliasmith, C. (2017). PLoS ONE. Code



Nengo
A python tool for building large-scale functional brain models

Bekolay, T., Bergstra, J., Hunsberger, E., DeWolf, T., Stewart, T. C., Rasmussen, D., Choo, X., Voelker, A., and Eliasmith, C. (2014). Frontiers in Neuroinformatics.


Modeling brain function
Current developments and future prospects

Rasmussen, D. and Eliasmith, C. (2013). JAMA Neurology.


A large-scale model of the functioning brain

Eliasmith, C., Stewart, T. C., Choo, X., Bekolay, T., DeWolf, T., Tang, Y., and Rasmussen, D. (2012). Science.


A neural model of rule generation in inductive reasoning

Rasmussen, D. and Eliasmith, C. (2011). Topics in Cognitive Science.


Conference Proceedings

A neural model of hierarchical reinforcement learning

Rasmussen, D. and Eliasmith, C. (2014). 36th Annual Conference of the Cognitive Science Society.


A neural reinforcement learning model for tasks with unknown time delays

Rasmussen, D. and Eliasmith, C. (2013). 35th Annual Conference of the Cognitive Science Society.


Invited Commentaries

God, the devil, and details
Fleshing out the predictive processing framework (commentary on Clark)

Rasmussen, D. and Eliasmith, C. (2013). Behavioral and Brain Sciences.


Book Chapters

How to build a brain: A neural architecture for biological cognition
Chapter 4: Syntax

Eliasmith, C., Rasmussen, D., and Stewart, T. C. (2013). Oxford University Press.


Theses