@article {70047,
	title = {Distributed control circuits across a brain-and-cord connectome},
	journal = {bioRxiv},
	year = {2025},
	month = {2025 Aug 02},
	abstract = {<p>Just as genomes revolutionized molecular genetics, connectomes (maps of neurons and synapses) are transforming neuroscience. To date, the only species with complete connectomes are worms\&nbsp;and sea squirts\&nbsp;(103-104 synapses). By contrast, the fruit fly is more complex (108 synaptic connections), with a brain that supports learning and spatial memory and an intricate ventral nerve cord analogous to the vertebrate spinal cord. Here we report the first adult fly connectome that unites the brain and ventral nerve cord, and we leverage this resource to investigate principles of neural control. We show that effector cells (motor neurons, endocrine cells and efferent neurons targeting the viscera) are primarily influenced by local sensory cells in the same body part, forming local feedback loops. These local loops are linked by long-range circuits involving ascending and descending neurons organized into behavior-centric modules. Single ascending and descending neurons are often positioned to influence the voluntary movements of multiple body parts, together with endocrine cells or visceral organs that support those movements. Brain regions involved in learning and navigation supervise these circuits. These results reveal an architecture that is distributed, parallelized and embodied (tightly connected to effectors), reminiscent of distributed control architectures in engineered systems.</p>
},
	doi = {10.1101/2025.07.31.667571},
	url = {https://www.biorxiv.org/content/early/2025/08/02/2025.07.31.667571},
	author = {Bates, Alexander Shakeel and Phelps, Jasper S. and Kim, Minsu and Yang, Helen H. and Matsliah, Arie and Ajabi, Zaki and Perlman, Eric and Delgado, Kevin M. and Osman, Mohammed Abdal Monium and Salmon, Christopher K. and Gager, Jay and Silverman, Benjamin and Renauld, Sophia and Collie, Matthew F. and Fan, Jingxuan and Pacheco, Diego A. and Zhao, Yunzhi and Patel, Janki and Zhang, Wenyi and Serratosa Capdevilla, Laia and Roberts, Ruair{\'\i} J.V. and Munnelly, Eva J. and Griggs, Nina and Langley, Helen and Moya-Llamas, Borja and Maloney, Ryan T. and Yu, Szi-Chieh and Sterling, Amy R. and Sorek, Marissa and Kruk, Krzysztof and Serafetinidis, Nikitas and Dhawan, Serene and St{\"u}rner, Tomke and Klemm, Finja and Brooks, Paul and Lesser, Ellen and Jones, Jessica M. and Pierce-Lundgren, Sara E. and Lee, Su-Yee and Luo, Yichen and Cook, Andrew P. and McKim, Theresa H. and Kophs, Emily C. and Falt, Tjalda and Negr{\'o}n Morales, Alexa M. and Burke, Austin and Hebditch, James and Willie, Kyle P. and Willie, Ryan and Popovych, Sergiy and Kemnitz, Nico and Ih, Dodam and Lee, Kisuk and Lu, Ran and Halageri, Akhilesh and Bae, J. Alexander and Jourdan, Ben and Schwartzman, Gregory and Demarest, Damian D. and Behnke, Emily and Bland, Doug and Kristiansen, Anne and Skelton, Jaime and Stocks, Tom and Garner, Dustin and Salman, Farzaan and Daly, Kevin C. and Hernandez, Anthony and Kumar, Sandeep and The BANC-FlyWire Consortium and Dorkenwald, Sven and Collman, Forrest and Suver, Marie P. and Fenk, Lisa M. and Pankratz, Michael J. and Jefferis, Gregory S.X.E. and Eichler, Katharina and Seeds, Andrew M. and Hampel, Stefanie and Agrawal, Sweta and Zandawala, Meet and Macrina, Thomas and Adjavon, Diane-Yayra and Funke, Jan and Tuthill, John C. and Azevedo, Anthony and Seung, H. Sebastian and de Bivort, Benjamin L. and Murthy, Mala and Drugowitsch, Jan and Wilson, Rachel I. and Lee, Wei-Chung Allen}
}
@article {69138,
	title = {Connectomic reconstruction predicts visual features used for navigation.},
	journal = {Nature},
	volume = {634},
	year = {2024},
	month = {2024 Oct 02},
	pages = {181-190},
	abstract = {<p>Many animals use visual information to navigate, but how such information is encoded and integrated by the navigation system remains incompletely understood. In Drosophila melanogaster, EPG neurons in the central complex compute the heading direction by integrating visual input from ER neurons, which are part of the anterior visual pathway (AVP). Here we densely reconstruct all neurons in the AVP using electron-microscopy data. The AVP comprises four neuropils, sequentially linked by three major classes of neurons: MeTu neurons, which connect the medulla in the optic lobe to the small unit of the anterior optic tubercle (AOTUsu) in the central brain; TuBu neurons, which connect the AOTUsu to the bulb neuropil; and ER neurons, which connect the bulb to the EPG neurons. On the basis of morphologies, connectivity between neural classes and the locations of synapses, we identify distinct information channels that originate from four types of MeTu neurons, and we further divide these into ten subtypes according to the presynaptic connections in the medulla and the postsynaptic connections in the AOTUsu. Using the connectivity of the entire AVP and the dendritic fields of the MeTu neurons in the optic lobes, we infer potential visual features and the visual area from which any ER neuron receives input. We confirm some of these predictions physiologically. These results provide a strong foundation for understanding how distinct sensory features can be extracted and transformed across multiple processing stages to construct higher-order cognitive representations.</p>
},
	doi = {10.1038/s41586-024-07967-z},
	url = {https://doi.org/10.1038/s41586-024-07967-z},
	author = {Garner, Dustin and Kind, Emil and Yuet Ha Lai, Jennifer and Nern, Aljoscha and Zhao, Arthur and Houghton, Lucy and Sancer, Gizem and Wolff, Tanya and Rubin, Gerald M and Wernet, Mathias F and Kim, Sung Soo}
}
