2.2k citations · 6.4k across the 57 of their papers we have counts for
Showing 2013Show all
3 papers · 1 filter
stat.ML2013★ 4 cited
Mean Field Bayes Backpropagation: scalable training of multilayer neural networks with binary weights
Daniel Soudry, Ron Meir
Significant success has been reported recently using deep neural networks for classification. Such large networks can be computationally intensive, even after training is over. Imp…
q-bio.NC2013★ 18 cited
A shotgun sampling solution for the common input problem in neural connectivity inference
Daniel Soudry, Suraj Keshri, Patrick Stinson +3
Inferring connectivity in neuronal networks remains a key challenge in statistical neuroscience. The `common input' problem presents the major roadblock: it is difficult to reliabl…
q-bio.NC2013★ 1 cited
The neuron's response at extended timescales
Daniel Soudry, Ron Meir
Many systems are modulated by unknown slow processes. This hinders analysis in highly non-linear systems, such as excitable systems. We show that for such systems, if the input mat…