215 citations · 389 across the 3 of their papers we have counts for
4 papers
The Ups and Downs of Backprop Weights
Giuseppe Chindemi, Benjamin F. Grewe
Backpropagation (BP) has driven the remarkable success of modern deep learning by enabling large hierarchical networks to learn complex functions end-to-end. Yet it does not by its…
Automated point-neuron simplification of data-driven microcircuit models
Christian Rössert, Christian Pozzorini, Giuseppe Chindemi +13
A method is presented for the reduction of morphologically detailed microcircuit models to a point-neuron representation without human intervention. The simplification occurs in a…
BluePyOpt: Leveraging open source software and cloud infrastructure to optimise model parameters in neuroscience
Werner Van Geit, Michael Gevaert, Giuseppe Chindemi +6
At many scales in neuroscience, appropriate mathematical models take the form of complex dynamical systems. Parametrising such models to conform to the multitude of available exper…
Topological analysis of the connectome of digital reconstructions of neural microcircuits
Pawe Dotko, Kathryn Hess, Ran Levi +6
A recent publication provides the network graph for a neocortical microcircuit comprising 8 million connections between 31,000 neurons (H. Markram, et al., Reconstruction and simul…