Cleaning up disk space, I found this image I made for someone not long after the release of the #HHMIJanelia #Drosophila hemibrain #connectome in 2020. It shows EPG neurons in pink providing inputs to PFL1 neurons in transparent grey. I'm not sure if the image was ever used.
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In our new preprint we describe the synaptic #connectome of the nerve net in the ctenophore gravisensory organ. https://www.biorxiv.org/content/10.1101/2025.06.26.661250v1 #biology #neuroscience #ctenophore #vEM
Here's a #MicroscopyMonday segmentation of some neurons from the optic lobe, or visual processing area of the #Drosophila fruit fly's brain. The #connectome for the full optic lobe was released in 2024 by #HHMIJanelia, Google, and the University of Cambridge, with support from the Wellcome Trust.
On this day 5 years ago #HHMIJanelia and Google released the "hemibrain", a map of neural connections in much of the #Drosophila fly brain. At the time it was the largest such #connectome ever created. Here's a video from the release (polished a bit), showing the interesting shapes of the neurons.
En réponse à katch wreck
@katchwreck For sure we won't understand how the brain works until the role of astrocytes and other glial cells is fully understood.
The #connectome though is understood as the wiring diagram where neurons are nodes and edges are synaptic connections. For additional interactions there's the "#neuromodulome" for e.g., neuropeptide/neuromodulator vs. the corresponding receptor, like in this paper by Lidia Ripoll-Sánchez et al. 2023 on C. elegans:
"The neuropeptidergic connectome of C. elegans" https://www.cell.com/neuron/fulltext/S0896-6273(23)00756-0
#neuroscience #Celegans #connectomics
i've seen a few papers in the last 10 years demonstrating direct #astrocyte involvement in a variety of brain functions normally associated with #neurons... does this mean that the definition of the #connectome should be somehow augmented with astrocyte topologies, relative to the neuronal ones?
The #Drosophila optic lobe has neural circuits that help the fly respond to its environment. Here's one for detecting motion, identified by Shin-ya Takemura, from an optic lobe #connectome released in April 2024. I made the video with neuVid driving #Blender. Watch for synapses pulsing at the end.
I was reading something the other day about new neurological research suggesting that while the #connectome is the physical foundation of the manifested mind, there may be another level manifested in the electrical fields generated by the synapses firing across the brain. And that’s where the mind lives, in the swirling fields. #AI doesn’t have (yet) an equivalent physical foundation like ours, but when they do, we’re cooked.
Latest post in a #Neuro #Science #Fiction #WorldBuilding project
The #Brane #Connectome: Basically Fetid
#astrobiology #cosmology #abiogenesis #fermi_paradox
https://neurontosomething.wordpress.com/2024/09/29/brane-connectome-project-basically-fetid/
NeurOnToSomething · Brane Connectome Project: Basically FetidIn a universe scaled at the googolplex, trillion-to-one is a safe bet many times over.
How do network modules in the human #brain develop? #Neuroimaging of functional #connectome maturation during #childhood & #adolescence in >300 children reveals its overlapping architecture, associated with structural properties @HeLabBNU #PLOSBiology https://plos.io/3MQ8sje
Long time in the making: @hhmijanelia Group Leader @srinituraga@threads.net, Janne Lappalainen, Jakob Macke from @unituebingen and colleagues reproduce the network dynamics in the part of the fly visual system responsible for motion detection using end-to-end training on plausible high level tasks. Their model uses reasonable neural dynamics and the FlyEM #connectome as a start and figures out the rest, leading to natural network dynamics. Cool!
NatureConnectome-constrained networks predict neural activity across the fly visual system - NatureA study demonstrates how experimental measurements of only the connectivity of a biological neural network can be used to predict neural responses across the fly visual system at single-neuron resolution using deep learning techniques.
Finding suitable embeddings for connectomes (spatially embedded complex networks that map neural connections in the brain) is crucial for analyzing and understanding cognitive processes. Recent studies have found two-dimensional hyperbolic embeddings superior to Euclidean embeddings in modeling connectomes across species, especially human connectomes. However, those studies had limitations: geometries other than Euclidean, hyperbolic, or spherical were not considered. Following William Thurston's suggestion that the networks of neurons in the brain could be successfully represented in Solv geometry, we study the goodness-of-fit of the embeddings for 21 connectome networks (8 species). To this end, we suggest an embedding algorithm based on Simulating Annealing that allows us to embed connectomes to Euclidean, Spherical, Hyperbolic, Solv, Nil, and product geometries. Our algorithm tends to find better embeddings than the state-of-the-art, even in the hyperbolic case. Our findings suggest that while three-dimensional hyperbolic embeddings yield the best results in many cases, Solv embeddings perform reasonably well.
Full video: https://www.youtube.com/watch?v=GQKaKF_yOL4 arXiv: http://arxiv.org/abs/2407.16077 with Tehora Rogue #NonEuclideanGeometry #connectome #RogueViz
Latest post in a #Neuro #Science #Fiction #WorldBuilding project
The #Brane #Connectome
The history of the dream of star-flight is built on the bones of the hope of faster-than-light travel.
#writing #blogging #scifi #space #multiverse #wormhole #ftl #fasterthanlight
https://neurontosomething.wordpress.com/2024/06/29/the-brane-connectome-project-relativity-rules/
NeurOnToSomething · The Brane Connectome Project: Relativity rulesThe history of the dream of star-flight is built on the bones of the hope of faster-than-light travel.
#Mathematical modeling of #neurological disease: what if we try to apply concepts and methods of #theoretical #physics to #medicine? Maybe this could lead to new #non-invasive research methods. Enjoy!
#complexnetworks #connectome
AIP PublishingModeling a neurological disorder as the result of an operator acting on the brain: A first sketch based on network channel modelingThe brain is a complex network, and diseases can alter its structures and connections between regions. Therefore, we can try to formalize the action of diseases
We have now published a new and massively extended/reworked preprint of the whole-body #Platynereis larval #connectome with over 50 figures
https://www.biorxiv.org/content/10.1101/2024.03.17.585258v1
All the analyses, plots and figures should be reproducible in #rstats with the code provided:
https://zenodo.org/doi/10.5281/zenodo.10825370
by querying our public #CATMAID database:
A répondu dans un fil de discussion
How interesting. In #neuroscience, the brain #connectome – the pattern of synaptic connections among neurons – is also organized with many weak and few strong links.
E.g., Winding et al. 2023, "The connectome of an insect brain":
https://www.science.org/doi/abs/10.1126/science.add9330
Registration is now open for this exciting #EMBO lecture course on #Imaging #Marine Organisms Across Scales.
I will speak about the latest incarnation of the #Platynereis larval #connectome
Nadine Randel and I wrote a dispatch on the recent miniature-wasp eye #connectome paper
Have a look:
https://www.sciencedirect.com/science/article/pii/S096098222301432X?dgcid=author
and here is the original paper on the Megaphragma eye by Chua and colleagues https://www.sciencedirect.com/science/article/pii/S096098222301237X
En réponse à Albert Cardona
Maybe not in the c elegans field (I wouldn't know), but the fMRI field talks of "the #connectome" ALL the time.
En réponse à Albert Cardona
Thanks for these citations! I like that we can now stop talking about "the #connectome". A single #connectome doesn't exist. Anymore than "a single #genome" does. We need to start seeing species as populations with variability (this is how #evolution works! - by shifting those population distributions around).
As a practical note (coming back from #SFN2023), I'm getting worried about all of the experiments that are taking some specific mouse strain, making some observation (specific connections from a small subset of cells in structure A project to this specific part of structure B), and generalizing from that to all mice (and all rats and all humans). I wonder how much the various very specific connections that are being traced with viral techniques are specific to that "genetic family" of mice and how much variation we should be expecting.
I think we are vastly underestimating the variability in these life forms we are studying.