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About bst-1

Description of dataset bst-1 (brainstem data set 1).

Summary of the data

This data set consists of 20 recordings of multiunit activity from the Pontine Nucleus and Inferior Colliculus of eight anesthetized rats using either  TiN electrode with 8 tips or a twisted wire tetrode  The auditory stimulus used was white noise.The stereotaxic location of the electrode in each recording, as well as electrode type are given in Table 1.   The data was used to model neural activity and to compare the performance of the optimal Gaussian signal-in-Gaussian-noise (model-based) detector to that of an energy detector which is widely used in electrophysiology.  The experiments, data and analysis are described in:

Nir Nossenson, Ari Magal, Hagit Messer; "Detection of Stimuli from Multi-Neuron Activity: Empirical Study and Theoretical Implications", Neurocomputing (2015), DOI: 10.1016/j.neucom.2015.10.007

Format of the data

The data is stored in Matlab files, one for each recording. Within each Matlab file the data is organized using structures that are included in the document class="internal-link" href="/files/data/bst-1/crcns_bst-1_data_description.pdf">crcns_bst-1_data_description.pdf. Total data size is about 850M.

Conditions for usage of this data in publications

If you publish any work using the data, please cite the publication above (Nossenson et el, 2016) and also cite the data set in the following recommended format:

Nir Nossenson, Ari Magal, Hagit Messer (2016). Activity of multiple neurons in the brain stem (Inferior colliculus and Pontine Nucleus) of anesthetized rats during white noise auditory stimulus.

The above citation uses a Digital Object Identifier (DOI) which is assigned to the data set.  The DOI was created using DataCite ( and the California Digital Library, "EZID" system (

How to download the data

Data may be downloaded from:
A account is required. See the download link for more instructions.

Getting help using the data

If you have questions about using the data, please post them on the forum for using data sets.

Documentation file

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