Title |
Published |
SHARCNET Authors |
Area |
1.
Python Scripting in the Nengo Simulator
|
2009 |
T. C., Stewart, B., Tripp, C., Eliasmith
|
Computational Neuroscience
|
2.
Solving the problem of negative synaptic weights in cortical models
|
2008 |
C Parisien, CH Anderson, C Eliasmith
|
Computational Neuroscience
|
3.
Methods for Augmenting Semantic Models with Structural Information for Text Classification
|
2008 |
J Fishbein, C Eliasmith
|
Computational Neuroscience
|
4.
Integrating Structure and Meaning: A New Method for Encoding Structure for Text Classification
|
2008 |
J Fishbein, C Eliasmith
|
Computational Neuroscience
|
5.
Compositionality and Biologically Plausible Models
|
2008 |
T Stewart, C Eliasmith
|
Computational Neuroscience
|
6.
A new method for encoding structure for text classification
|
2007 |
J Fishbein, C Eliasmith
|
Computational Neuroscience
|
7.
Neural populations can induce reliable postsynaptic currents without observable spike rate changes or precise spike timing.
|
2007 |
B.Tripp, C. Eliasmith
|
Computational Neuroscience
|
8.
Neural populations can induce reliable postsynaptic currents without observable spike rate changes or precise spike timing
|
2007 |
B Tripp, C Eliasmith
|
Computational Neuroscience
|
9.
Higher-dimensional neurons explain the tuning and dynamics of working memory cells.
|
2006 |
R. Singh, C. Eliasmith
|
Computational Neuroscience
|
10.
A unified approach to building and controlling spiking attractor networks
|
2005 |
C Eliasmith
|
Computational Neuroscience
|
11.
Neural engineering: Representation, computation, and dynamics in neurobiological systems
|
2003 |
C Eliasmith, CH Anderson
|
Computational Neuroscience
|