7 search results - page 1 / 2 » Morphologically accurate reduced order modeling of spiking n... |
JCNS
2010
13 years 3 months ago
2010
Accurately simulating neurons with realistic morphological structure and synaptic inputs requires the solution of large systems of nonlinear ordinary differential equations. We ap...
ESANN
2006
13 years 6 months ago
2006
We present a distributed spiking neuron network (SNN) for handling low-level visual perception in order to extract salient locations in robot camera images. We describe a new metho...
NN
2007
Springer
13 years 11 months ago
2007
Springer
The signature of neuronal assemblies is the higher-order correlation structure of the spiking activity of the participating neurons. Due to the rapid progress in recording technol...
NIPS
2008
13 years 6 months ago
2008
Randomly connected recurrent neural circuits have proven to be very powerful models for online computations when a trained memoryless readout function is appended. Such Reservoir ...
NECO
2007
13 years 4 months ago
2007
We propose a Markov process model for spike-frequency adapting neural ensembles which synthesizes existing mean-adaptation approaches, population density methods, and inhomogeneou...