Predicting the dynamics of network connectivity in the neocortex

Supplemental Information for: Loewenstein, Yanover and Rumpel, Predicting the dynamics of network connectivity in the neocortex, The Journal of Neuroscience, 09/2015, Volume 35, Issue 36, p.12535-12544 .

We have chronically imaged dendritic spines, the morphological correlates of excitatory synapses, on layer 5 pyramidal neurons in the auditory cortex of transgenic mice (GFP-M line, Feng et al., 2000, Neuron) through a small glass window using two-photon imaging. This approach allows monitoring a large fraction of the excitatory inputs on the apical tuft of individual pyramidal neurons. Interestingly, connectivity in the cortex is highly dynamic, while at the same time preserving stable elements.

Here we post the raw data analyzed in Loewenstein et al., 2011 and Loewenstein et al., 2015 as a table that contains the morphological variables of the spines, as well as their relative locations, as described below. The experimental procedures are described in details in Loewenstein et al., 2011 and Loewenstein et al., 2015.

Data

The data is structures as a 8,699 × 13 table, where each row corresponds to all properties of a single spine in a single imaging session. The data is available here in the comma-separated value (CSV) format.

Contact us

For additional information, please contact Yonatan Loewenstein (first name - dot - last name - at – mail.huji.ac.il) Uri Yanover (likewise) or Simon Rumpel ('si' - last name - at – 'uni-mainz.de').