9 search results - page 2 / 2 » Generalization properties of spiking neurons trained with Re... |
NIPS
2007
13 years 6 months ago
2007
Stimulus selectivity of sensory neurons is often characterized by estimating their receptive field properties such as orientation selectivity. Receptive fields are usually deriv...
NN
2007
Springer
13 years 4 months ago
2007
Springer
We analyze in this article the significance of the edge of chaos for real-time computations in neural microcircuit models consisting of spiking neurons and dynamic synapses. We ...
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
This paper presents a simple continuous analog hardware realization of the Random Neural Network (RNN) model. The proposed circuit uses the general principles resulting from the u...
JCNS
2010
13 years 3 months ago
2010
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...