258 citations · 1k across the 30 of their papers we have counts for
4 papers · 1 filter
Inference of a mesoscopic population model from population spike trains
Alexandre René, André Longtin, Jakob H. Macke
To understand how rich dynamics emerge in neural populations, we require models exhibiting a wide range of activity patterns while remaining interpretable in terms of connectivity…
Analyzing biological and artificial neural networks: challenges with opportunities for synergy?
David G. T. Barrett, Ari S. Morcos, Jakob H. Macke
Deep neural networks (DNNs) transform stimuli across multiple processing stages to produce representations that can be used to solve complex tasks, such as object recognition in im…
Signatures of criticality arise in simple neural population models with correlations
Marcel Nonnenmacher, Christian Behrens, Philipp Berens +2
Large-scale recordings of neuronal activity make it possible to gain insights into the collective activity of neural ensembles. It has been hypothesized that neural populations mig…
An analytically tractable model of neural population activity in the presence of common input explains higher-order correlations and entropy
Jakob H Macke, Manfred Opper, Matthias Bethge
Simultaneously recorded neurons exhibit correlations whose underlying causes are not known. Here, we use a population of threshold neurons receiving correlated inputs to model neur…