Dataset_Doron_Shin_et_al_PRhL1_Science_2020

Data for: "Perirhinal input to neocortical layer I controls learning"

Guy Doron, Jiyun N. Shin, Naoya Takahashi, Moritz Drüke, Christina Bocklisch, Salina Skenderi, Lisa de Mont, Maria Toumazou, Julia Ledderose, Michael Brecht, Richard Naud, and Matthew E. Larkum

If you are using this dataset, please cite the dataset and the paper (use the doi provided to obtain correct citation in your reference manager). If you are using the code, please cite the science paper.

Data is distributed under a CC-BY 4.0 license, code is distributed under a MIT license.

This repository contains behavioral, electrophysiological, functional imaging (two-photon imaging) and anatomical data that were used to generate figures in our paper "Perirhinal input to neocortical layer I controls learning" by Doron, Shin et al., 2020 (doi: 10.1126/science.aaz3136).

Abstract

Hippocampal output influences memory formation in the neocortex but this process is poorly understood because the precise anatomical location and the underlying cellular mechanisms remain elusive. Here, we show that perirhinal input, predominantly to sensory cortical layer 1 (L1), controls hippocampal-dependent associative learning. This process was marked by the emergence of distinct firing responses in defined subpopulations of L5 pyramidal neurons whose tuft dendrites receive perirhinal inputs in L1. Learning correlated with burst firing and enhancement of dendritic excitability and was suppressed by disruption of dendritic activity. Furthermore, bursts, but not regular spike trains, were sufficient to retrieve learned behavior. We conclude that hippocampal information arriving at L5 tuft dendrites in neocortical L1 mediates memory formation in the neocortex.

Contents

• Each figure folder contains pre-processed data (.mat or .xlsx files) to reproduce corresponding figures.
• The details of the data are documented in README.md inside the folders.
• Codes folder contains relevant codes used in this study.
• In the Text_export folder, you will find spreadsheet that were created by exporting the .mat files into .tsv files, each file got described shortly in the 001_file_index.tsv file. It was mostly done automatically via a R script availabe in the codes folder