384 citations · 650 across the 17 of their papers we have counts for
4 papers · 1 filter
Covariance-domain Dictionary Learning for Overcomplete EEG Source Identification
Ozgur Balkan, Kenneth Kreutz-Delgado, Scott Makeig
We propose an algorithm targeting the identification of more sources than channels for electroencephalography (EEG). Our overcomplete source identification algorithm, Cov-DL, lever…
Mapping Generative Models onto a Network of Digital Spiking Neurons
Bruno U. Pedroni, Srinjoy Das, John V. Arthur +5
Stochastic neural networks such as Restricted Boltzmann Machines (RBMs) have been successfully used in applications ranging from speech recognition to image classification. Inferen…
Gibbs Sampling with Low-Power Spiking Digital Neurons
Srinjoy Das, Bruno Umbria Pedroni, Paul Merolla +6
Restricted Boltzmann Machines and Deep Belief Networks have been successfully used in a wide variety of applications including image classification and speech recognition. Inferenc…
Mean Time-to-Fire for the Noisy LIF Neuron - A Detailed Derivation of the Siegert Formula
Ken Kreutz-Delgado
When stimulated by a very large number of Poisson-like presynaptic current input spikes, the temporal dynamics of the soma membrane potential of a leaky integrate-and-fire (…