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CRCNS specifications


Unique identifier OMICS_28701
Alternative name Collaborative Research in Computational Neurosciences
Restrictions to use None
Community driven Yes
Data access File download, Browse
User data submission Allowed
Maintained Yes


  • person_outline Friedrich Sommer

Publication for Collaborative Research in Computational Neurosciences

CRCNS citations


Brain state invariant thalamo cortical coordination revealed by non linear encoders

PLoS Comput Biol
PMCID: 5882158
PMID: 29565979
DOI: 10.1371/journal.pcbi.1006041

[…] Neuronal recordings that are analyzed in this report were described in a previously published paper [] and are available for download ( Briefly, multi-site silicon probes (Buzsaki32 and Buzsaki64 from Neuronexus) were inserted over the antero-dorsal nucleus (ADn) of the thalamus in 7 mice. In three […]


Rapid tuning shifts in human auditory cortex enhance speech intelligibility

Nat Commun
PMCID: 5187445
PMID: 27996965
DOI: 10.1038/ncomms13654

[…] Raw data is stored in the Collaborative Research in Computational Neuroscience (CRCNS) database at UC Berkeley ( It can be accessed with a free CRCNS account at This manuscript relied heavily on the Python packages MNE-python, scikit-learn, numpy, […]


Decoding the Semantic Content of Natural Movies from Human Brain Activity

Front Syst Neurosci
PMCID: 5057448
PMID: 27781035
DOI: 10.3389/fnsys.2016.00081

[…] for the model estimation dataset consisted of 120 min of movie trailers. These stimuli are identical to the stimuli used in Nishimoto et al. () and Huth et al. (), and are available for download from CRCNS: Functional data for the model estimation dataset were collected in 12 separate 10-min scans. The stimuli for the model validation dataset consi […]


Tools for probing local circuits: high density silicon probes combined with optogenetics

PMCID: 4392339
PMID: 25856489
DOI: 10.1016/j.neuron.2015.01.028

[…] certed effort (). Effective dissemination of the newly developed methods and algorithms and sharing as well as maintaining well-curated data with common standards and seamless user accessibility ((); are among the key tasks ahead of us for advancing rapid progress.Successful analysis of neuronal circuits requires not only large-scale recording of neurons at high speed but also their int […]


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CRCNS institution(s)
Redwood Center for Theoretical Neuroscience & Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA; Center for Molecular and Behavioral Neuroscience, Rutgers, The State University of New Jersey, Newark, NJ, USA
CRCNS funding source(s)
Supported by NSF Grant 0636838, Rutgers University, and by NSF Grant 0749049.

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