212 citations · 479 across the 14 of their papers we have counts for
4 papers · 1 filter
Passive nonlinear dendritic interactions as a general computational resource in functional spiking neural networks
Andreas Stöckel, Chris Eliasmith
Nonlinear interactions in the dendritic tree play a key role in neural computation. Nevertheless, modeling frameworks aimed at the construction of large-scale, functional spiking n…
Point Neurons with Conductance-Based Synapses in the Neural Engineering Framework
Andreas Stöckel, Aaron R. Voelker, Chris Eliasmith
The mathematical model underlying the Neural Engineering Framework (NEF) expresses neuronal input as a linear combination of synaptic currents. However, in biology, synapses are no…
Methods for applying the Neural Engineering Framework to neuromorphic hardware
Aaron R. Voelker, Chris Eliasmith
We review our current software tools and theoretical methods for applying the Neural Engineering Framework to state-of-the-art neuromorphic hardware. These methods can be used to i…
BioSpaun: A large-scale behaving brain model with complex neurons
Chris Eliasmith, Jan Gosmann, Xuan Choo
We describe a large-scale functional brain model that includes detailed, conductance-based, compartmental models of individual neurons. We call the model BioSpaun, to indicate the…