Albert CardonaShawn Mikula's https://connectomes.org/ doesn't load, but the domain name is registered. Does anyone know who is maintaining the site?
flypapers📰 "A central somatotopic map of the fly leg supports spatially targeted grooming"
https://www.biorxiv.org/content/10.64898/2026.02.27.708590v1?rss=1
#Connectomics
#Sensorimotor
#Drosophila #Behaviour
https://www.biorxiv.org/content/10.64898/2026.02.27.708590v1?rss=1
#Connectomics
#Sensorimotor
#Drosophila #Behaviour
Now out as a version of record:
"Neural connectome of the ctenophore statocyst", Jokura et sl. 2026 (Jékely lab)
📰 "Cellular and functional dissection of the octopaminergic system in the Drosophila brain"
https://www.biorxiv.org/content/10.64898/2026.02.06.704492v1?rss=1
#DrosophilaMelanogaster
#Connectomics
#Drosophila #Behaviour #Sensory
https://www.biorxiv.org/content/10.64898/2026.02.06.704492v1?rss=1
#DrosophilaMelanogaster
#Connectomics
#Drosophila #Behaviour #Sensory
Cellular and functional dissection of the octopaminergic system in the Drosophila brain
Octopamine (OA) is a major biogenic amine in the invertebrate nervous system and is often considered a functional analog of vertebrate noradrenaline. Along with its immediate precursor tyramine (TA), OA influences diverse physiological and behavioral processes, including sensory processing and social behavior. However, understanding the neural basis of its multifunctionality has been constrained by the limited genetic access to defined OA/TA neuron types. Here, we present a curated set of transgenic driver strains that provide selective access to nearly all long-range OA/TA cell types in the brain of common fruit flies, Drosophila melanogaster . Using these tools, we map cell-type-specific innervation patterns, compare male and female neuroanatomy, and cross-reference identified neuron types with electron microscopy connectome datasets. As a proof of principle, we show that distinct optic lobe-projecting OA/TA neuron types differentially modulate visually guided behaviors, and we identify a novel OA/TA cell type that suppresses aggression in both sexes. This resource establishes a practical and conceptual foundation for cell-type-resolved analysis of OA/TA circuit function and enables direct integration of genetics, anatomy, and connectomics for studies of neuromodulatory circuit organization. ### Competing Interest Statement The authors have declared no competing interest. National Institute of General Medical Sciences, https://ror.org/04q48ey07, R35GM119844 National Institute of Neurological Disorders and Stroke, R01NS120984
By the way, unlike what the piece says, Murrhy and Seung did NOT "have the idea to use those images to identify and map the connections between each visible neuron, creating a connectome".
That idea had been floating about the field since Brenner and his C. elegans connectome, and those in a position to execute were the groups at Janelia with discretionary HHMI finding, like Rubin, Bock and myself. And we did.
What the Seung lab did was capitalise on the published EM volume of the adult female fly brain to apply more effective image registration and neuron segmentation approaches than the ones tried so far at that point by the Fly EM Project Team at Janelia. Synapses were detected by Julia Buhmann in saalfeld's lab at Janelia as well. The research groups led by Seung, Jefferis (at MRC LMB) and Murthy then put in the gargantuan effort of proofreading to deliver the published connectome.
TeixiSunday slow rereading on #neuroscience #drosophila #flybrain #electromicroscopy #connectomics #omics
Holy Molly forgot this top notch quotation!?
,There is a before and after connectome—B.C. and A.C.’
@albertcardona referencing a well-known quote from #columbiaun #TheoreticalNeuroscience Larry Abbott
with this follow-up:
,It’s the end of the beginning’
https://www.science.org/content/article/complete-map-fruit-fly-brain-circuitry-unveiled
Trending Stocks 📈Invest in Brains, Not GPUs - Adam Marblestone and Dwarkesh Patel
Gilbert HangelWe are hiring! SPecifically, a PostDoc for data management and connectomics as part of a large clinical research group. The details can be found here: https://www.linkedin.com/posts/epiconn_open-position-apply-now-the-epiconn-activity-7413211951125688320-Wqi5
Please apply if you are interested in up to four years in Vienna, one of the most liveable cities in the world!
#university #medicaluniversityofvienna
#research #vienna #austria #ismrm #mri #7Tesla #epilepsy #connectomics #data_management
**OPEN POSITION - APPLY NOW** The EPICONN Project is a new interdisciplinary Clinical Research Group combining clinical neuroscience, neuroimaging, and computational modelling to reveal network… | EPICONN
**OPEN POSITION - APPLY NOW** The EPICONN Project is a new interdisciplinary Clinical Research Group combining clinical neuroscience, neuroimaging, and computational modelling to reveal network mechanisms of epilepsy. It will develop cutting-edge machine learning and multi-modal data analytics methods to support clinical decisions for people with epilepsy. It will integrate imaging, EEG, genomics, and clinical data into robust prediction models for disease progression and treatment response. As a central position in EPICONN we are seeking a Postdoctoral Researcher to take a leading role in coordinating patient data-related research workflows and the translation of cutting-edge AI tools into clinical decision making, including multi-modal data integration and management and development of robust data acquisition and management strategies for EPICONN. Your Mission ➡️ Develop, oversee, and implement a project wide data management strategy, process and systems for multi-modal medical data ➡️ Translate research results to clinical tools, integrate research results into robust pipelines and tools that can be used in clinical settings ➡️ Interface closely with the Department of Neurology (DoN) for patient inclusion and study logistics. ➡️ Develop and implement Standard Operating Procedures (SOPs) for data acquisition, transfer, and quality control — with an emphasis on automation and reproducibility. ➡️ Ensure data readiness for multimodal modelling and AI-based analysis within the EPICONN consortium. ➡️ Lead efforts in data stewardship, harmonization, and model validation across imaging, electrophysiological, and behavioural datasets. ➡️ Contribute to the development of multimodal AI models and their preparation for clinical translation. Your Profile 🧠 PhD (or equivalent) in a field of biomedical engineering, computer science, medical informatics, neuroscience, or a related field. 🧠 Proven experience in imaging research or computational neuroscience (e.g., MRI, EEG), medical informatics or data acquisition/evaluation (BIDS standard, Neurodesk, etc.). 🧠 Strong skills in data management tools (e.g., REDCap, DataLad, Neurobagel). 🧠 Experience in Python and/or familiarity with AI / machine learning frameworks is a strong advantage. 🧠 Excellent communication, organizational, and collaborative skills. 🧠 Familiarity with hospital workflows, GCP principles, and research data privacy regulations. We Offer ➡️ A 4-year funded position (1-year trial + 3-year extension) within a cutting-edge interdisciplinary research environment. ➡️ Close collaboration with experts in neurology, medical imaging, AI, and clinical research. ➡️ Access to advanced computational infrastructure and mentorship for career and grant development. ➡️Potential for continued employment in EPICONN Phase 2. How to Apply - send your CV, motivation letter, and contact information for two references (in one PDF) to: [email protected] Application deadline: 20.01.2026
Angelo VarlottaCan neuroscientists decode memories solely from a map of synaptic connections?
| Five experts discuss the progress, possibilities and hurdles of decoding a “nontrivial” memory from an organism just by analyzing its brain connectivity patterns |
The Transmitter: Neuroscience News and Perspectives
🎧🤷
https://www.thetransmitter.org/brain-inspired/can-neuroscientists-decode-memories-solely-from-a-map-of-synaptic-connections/
📰 "Whole-brain connectomics of Drosophila reveals a robust, distributed architecture for the suppression of feeding during escape"
https://www.biorxiv.org/content/10.64898/2025.12.14.694122v1?rss=1
#Connectomics
#Drosophila
https://www.biorxiv.org/content/10.64898/2025.12.14.694122v1?rss=1
#Connectomics
#Drosophila