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Dataset (MATLAB format) from Yang et al (2022) Thalamus-driven functional populations in frontal cortex support decision-making. Nat. Neurosci.

<p><strong>Summary</strong></p> <p>These experiments measure neuronal responses from the left hemisphere of premotor cortex (anterior lateral motor cortex, ALM) of adult mice performing pole location discrimination with a short-term memory. In a subset of the recordings, we inactivate activity of one of the brain regions providing inputs to ALM (ipsilateral S1/S2, contralateral ALM, and ipsilateral Thal<sub>ALM</sub>) in some trials.</p> <p>This dataset contains data from 9626 single units, 73 mice, 347 sessions. The dataset is described as &ldquo;the primary dataset&rdquo; in the paper below. The experiments (including experiment methods) are described in the paper.</p> <p><em>Yang W, Tipparaju SL, Chen G, Li N, (2022). Thalamus-driven functional populations in frontal cortex activity supports decision-making. Nat Neurosci, in press.</em></p> <p>&nbsp;</p> <p>The second dataset used in the paper can be downloaded also from Zenodo at</p> <pre><a href="https://doi.org/10.5281/zenodo.6713616">https://doi.org/10.5281/zenodo.6713616</a></pre> <p>&nbsp;</p> <p><strong>How to cite the data</strong></p> <p>If you publish any work using the data, please cite the Chen et. al., (2021) publication above and also cite the dataset in the following recommended format:</p> <p>Li N (2022); Data and simulations related to: Thalamus-driven functional populations in frontal cortex activity supports decision-making. Yang et al (2022) Nat Neurosci.</p> <p><a href="http://dx.doi.org/10.5281/zenodo.6846161">http://dx.doi.org/10.5281/zenodo.6846161</a></p> <p>&nbsp;</p> <p><strong>How to get started</strong></p> <p>Once downloaded</p> <p>1) unzip &ldquo;<strong>func</strong>&rdquo;</p> <p>2) unzip &quot;<strong>scripts</strong>&quot;</p> <p>3) Run any scripts &quot;<strong>demo_*.m</strong>&quot;&nbsp;within &quot;<strong>scripts</strong>&quot;</p> <p>&nbsp;</p> <p>A collection of analyses scripts that reproduce figures in &quot; Yang et al (2022)&quot; is included in the folder &quot;<strong>\scripts\</strong>&quot;</p> <p><strong>demo_compute_activity_modes_independentTrials.m</strong> &ndash; plot t-SNE embedding and all the response profile clusters; plots PSTHs from an example cluster; plots neurons connected to S1/S2, cALM, ThalALM on the t-SNE.</p> <p><strong>demo_compute_tSNE_embedding.m</strong> &ndash; t-SNE embedding of neuronal response profiles (based on PSTH shape)</p> <p><strong>demo_compute_activity_modes.m</strong> &ndash; compute activity modes from neuronal population responses.</p> <p><strong>demo_compute_selectivity_vector_stability.m</strong> &ndash; analysis of selectivity vectors</p> <p>&nbsp;</p> <p>&nbsp;</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0