Ring attractor dynamics in the Drosophila central brain

Published on 2017-11-30T16:34:21Z (GMT) by Sung Soo Kim
Ring attractors are a class of recurrent networks hypothesized to underlie the representation of heading direction. Such network structures, schematized as a ring of neurons whose connectivity depends on their heading preferences, can sustain a bump-like activity pattern whose location can be updated by continuous shifts along either turn direction. We recently reported that a population of fly neurons represents the animal’s heading via bump-like activity dynamics. We combined two-photon calcium imaging in head-fixed flying flies with optogenetics to overwrite the existing population representation with an artificial one, which was then maintained by the circuit with naturalistic dynamics. A network with local excitation and global inhibition enforces this unique and persistent heading representation. Ring attractor networks have long been invoked in theoretical work; our study provides physiological evidence of their existence and functional architecture.<div>====================================================================</div><div><div><i>All source code and data to reproduce the results can be found in this collection.</i></div><div><br></div><div><br></div><div><b>1. Download the codes</b></div><div><br></div><div> ringattractor.zip (0.8MB)</div><div><br></div><div> <u>After extraction, please read </u></div><div><br></div><div> README.MD </div><div> License, Data Agreement.md</div><div><br></div><div><br></div><div><b>2. Download preprocessed data</b></div><div><br></div><div> 01._visual_environments.zip (2GB)</div><div> 04._powerbox_bump_shifting.zip (5.6GB)</div><div> 10._powerbox-flow2.zip (6.4GB)</div><div> 12._powerbox-behavior03.zip (1.8GB)</div><div><br></div><div> Extract under "ringattractor/processed_data" directory</div><div><div>The underbars, '_', if any, should be replaced with blank spaces, ' ', for the directory names.</div></div><div><br></div><div><br></div><div><b>3. Download raw data if wanted</b></div><div><br></div><div> 01._visual_environments.zip (96.6GB)</div><div> 04._powerbox_bump_shifting.zip (120GB)</div><div> 10._powerbox-flow2.zip (129GB)</div><div> 12._powerbox-behavior03.zip (40.7GB)</div><div><br></div><div> Extract under "ringattractor/raw_data" directory.</div><div>The underbars, '_', if any, should be replaced with blank spaces, ' ', for the directory names.</div><div><br></div><div> ** The data size (~450GB) is extremely large.</div><div><br></div><div><br></div><div><b>4. Ring attractor simulation codes and Bayesian sampling codes</b></div><div><br></div><div> Available as a Supplementary Material at the Science website, and at github ( https://github.com/hrouault/RingAttractor ).</div></div><div><br></div>

Cite this collection

Kim, Sung Soo; Rouault, Hervé; Druckmann, Shaul; Jayaraman, Vivek (2017): Ring attractor dynamics in the Drosophila central brain. figshare. Collection.