Demo codes for "Species-specific wiring of cortical circuits for small-world networks in the primary visual cortex" Seungdae Baek, Youngjin Park, and Se-Bum Paik* *Contact: sbpaik@kaist.ac.kr 1. System requirements MATLAB 2021a or later version Installation of the Deep Learning Toolbox (https://www.mathworks.com/products/deep-learning.html) No non-standard hardware is required. Uploaded codes were tested using MATLAB 2021a. 2. Installation Download "LRC_code.zip" and unzip the file. Choose the proper subfolder of 'fun_modifed_toolbox' which is matched to your MATLAB version and Move each file to the proper directory Expected Installation time is about 45 minutes, but may vary by system conditions. 3. Instructions for execution The result of the figure can be regenerated through the code of the folders below: i) Fig1: Species-specific existence of long-range horizontal connectivity in V1 (Fig.1) ii) Fig2_3: Integration of global information by LRCs in a large network (Fig.2) Local connections are required to integrate local information in a large network (Fig.3) iii) Fig4_5: LRCs organize a small-world network to enable the recognition of various visual features (Fig.4) Small-world coefficient of the network predicts the size-dependent effect of LRCs for visual encoding (Fig.5) iv) Fig6: Emergence of LRCs for size-dependent optimization of the performance and wiring cost (Fig.6) Raw data of the figure can be found in the "Data.zip"