215 citations · 411 across the 8 of their papers we have counts for
8 papers
Predicting Infectiousness for Proactive Contact Tracing
Yoshua Bengio, Prateek Gupta, Tegan Maharaj +20
The COVID-19 pandemic has spread rapidly worldwide, overwhelming manual contact tracing in many countries and resulting in widespread lockdowns for emergency containment. Large-sca…
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…
Cellular Adaptation Accounts for the Sparse and Reliable Sensory Stimulus Representation
Farzad Farkhooi, Anja Froese, Eilif Muller +2
Most neurons in peripheral sensory pathways initially respond vigorously when a preferred stimulus is presented, but adapt as stimulation continues. It is unclear how this phenomen…
A Comprehensive Workflow for General-Purpose Neural Modeling with Highly Configurable Neuromorphic Hardware Systems
Daniel Brüderle, Mihai A. Petrovici, Bernhard Vogginger +31
In this paper we present a methodological framework that meets novel requirements emerging from upcoming types of accelerated and highly configurable neuromorphic hardware systems.…
Sequential Sparsening by Successive Adaptation in Neural Populations
Farzad Farkhooi, Eilif Muller, Martin P. Nawrot
In the principal cells of the insect mushroom body, the Kenyon cells (KC), olfactory information is represented by a spatially and temporally sparse code. Each odor stimulus will a…