output
20092022
most citedDeep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Brain's Ventral Visual Pathway

1.1k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2017Show all

4 papers · 1 filter

cond-mat.dis-nn2017★ 22 cited

On the role of synaptic stochasticity in training low-precision neural networks

Carlo Baldassi, Federica Gerace, Hilbert J. Kappen +4

Stochasticity and limited precision of synaptic weights in neural network models are key aspects of both biological and hardware modeling of learning processes. Here we show that a…

cs.CV2017★ 253 cited

Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation

Mohsen Ghafoorian, Alireza Mehrtash, Tina Kapur +11

Magnetic Resonance Imaging (MRI) is widely used in routine clinical diagnosis and treatment. However, variations in MRI acquisition protocols result in different appearances of nor…

physics.data-an2017

Measures of spike train synchrony for data with multiple time-scales

Eero Satuvuori, Mario Mulansky, Nebojsa Bozanic +4

Background: Measures of spike train synchrony are widely used in both experimental and computational neuroscience. Time-scale independent and parameter-free measures, such as the I…

stat.ML2017★ 2 cited

Estimating Nonlinear Dynamics with the ConvNet Smoother

Luca Ambrogioni, Umut Güçlü, Eric Maris +1

Estimating the state of a dynamical system from a series of noise-corrupted observations is fundamental in many areas of science and engineering. The most well-known method, the Ka…