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

Summary

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 ThalALM) in some trials.

This dataset contains data from 9626 single units, 73 mice, 347 sessions. The dataset is described as “the primary dataset” in the paper below. The experiments (including experiment methods) are described in the paper.

Yang W, Tipparaju SL, Chen G, Li N, (2022). Thalamus-driven functional populations in frontal cortex activity supports decision-making. Nat Neurosci, in press.

The second dataset used in the paper can be downloaded also from Zenodo at

https://doi.org/10.5281/zenodo.6713616

How to cite the data

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:

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.

http://dx.doi.org/10.5281/zenodo.6846161

How to get started

Once downloaded

1) unzip “func”

2) unzip "scripts"

3) Run any scripts "demo_*.m" within "scripts"

A collection of analyses scripts that reproduce figures in " Yang et al (2022)" is included in the folder "\scripts\"

demo_compute_activity_modes_independentTrials.m – 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.

demo_compute_tSNE_embedding.m – t-SNE embedding of neuronal response profiles (based on PSTH shape)

demo_compute_activity_modes.m – compute activity modes from neuronal population responses.

demo_compute_selectivity_vector_stability.m – analysis of selectivity vectors