Author

Carl van Vreeswijk

Centre National de la Recherche Scientifique

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 5

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Research Focus:cell type annotation· 2 Assay:electronic health records· 2 Organism:mouse· 2 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

David HanseliD· 4 shared Farzad FarkhooiiD· 2 shared Alexandre MahrachiD· 1 shared Fred WolfiD· 1 shared Germán MatoiD· 1 shared Guang CheniD· 1 shared Jagruti J. PattadkaliD· 1 shared Nicholas J. PriebeiD· 1 shared

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2015-2021 · peak 2/yr

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10 top collaborators · 18 mutual co-author links

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4 shared papersNeuroscience

David HanselORCID

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5 papers

Recent·Most cited

Noise-induced properties of active dendrites

Carl van Vreeswijk, Farzad Farkhooi

This study reveals that noise-induced dynamics in active dendrites with calcium channels can produce non-monotonic or bistable input-output relations, which are absent in noiseless conditions.

Proceedings of the National Academy of Sciences · Aug 19, 2021Peer-reviewedNeuroscience

Mechanisms underlying the response of mouse cortical networks to optogenetic manipulation

Alexandre Mahrach, Guang Chen, Nuo Li, Carl van Vreeswijk, David Hansel

The paper investigates how mouse cortical networks respond to optogenetic stimulation of PV neurons, finding paradoxical activity changes in layer 5 and proposing network architectures that explain these responses.

eLife · Jan 17, 2020Peer-reviewedNeuroscience

Emergent orientation selectivity from random networks in mouse visual cortex

Jagruti J. Pattadkal, Germán Mato, Carl van Vreeswijk, Nicholas J. Priebe, David Hansel

This study shows that random connectivity in mouse V1 can produce orientation selectivity matching experimental data.

Cell Reports · Aug 1, 2018Peer-reviewedNeuroscience

How strong are correlations in strongly recurrent neuronal networks?

Ran Darshan, Carl van Vreeswijk, David Hansel

This study develops a theory for strong correlations in recurrent neuronal networks and shows how feedforward structure influences their spatial and scaling properties.

bioRxiv · Mar 2, 2018 · PreprintNeuroscience

Comment on “Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons”

Rainer Engelken, Farzad Farkhooi, David Hansel, Carl van Vreeswijk, Fred Wolf

The paper comments on a study that identifies two types of asynchronous activity in spiking neuron networks and discusses the implications for slow neural dynamics.

bioRxiv · Apr 9, 2015 · PreprintNeuroscience