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Android: Google-System-Update für November mit Neuerungen
Apps geräteübergreifend verwalten, Videos bei Notrufen teilen: Google liefert mit dem November-Update neue Android-Funktionen über Play-Store und -Dienste.

celegans_2019: Complete C. elegans neurons (2019)
Networks among neurons of both the adult male and adult hermaphrodite worms C. elegans, constructed from electron microscopy series, to include directed edges (chemical) and undirected (gap junction), and spanning including nodes for muscle and non-muscle end organs.
This network has 575 nodes and 5306 edges.
Tags: Biological, Connectome, Weighted

Multi state neurons
Robert Worden
https://arxiv.org/abs/2512.08815 https://arxiv.org/pdf/2512.08815 https://arxiv.org/html/2512.08815
arXiv:2512.08815v1 Announce Type: new
Abstract: Neurons, as eukaryotic cells, have powerful internal computation capabilities. One neuron can have many distinct states, and brains can use this capability. Processes of neuron growth and maintenance use chemical signalling between cell bodies and synapses, ferrying chemical messengers over microtubules and actin fibres within cells. These processes are computations which, while slower than neural electrical signalling, could allow any neuron to change its state over intervals of seconds or minutes. Based on its state, a single neuron can selectively de-activate some of its synapses, sculpting a dynamic neural net from the static neural connections of the brain. Without this dynamic selection, the static neural networks in brains are too amorphous and dilute to do the computations of neural cognitive models. The use of multi-state neurons in animal brains is illustrated in hierarchical Bayesian object recognition. Multi-state neurons may support a design which is more efficient than two-state neurons, and scales better as object complexity increases. Brains could have evolved to use multi-state neurons. Multi-state neurons could be used in artificial neural networks, to use a kind of non-Hebbian learning which is faster and more focused and controllable than traditional neural net learning. This possibility has not yet been explored in computational models.
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Heute vor 35 Jahren: Am 11. Januar 1991 musste im russischen #Kernkraftwerk #Nowoworonesch Block 5 abgeschaltet werden weil eine Impulsleitung zur Messung des Drucks im Dampfverteiler ausfiel. Ursache: Konstruktionsmängel bei der Verlegung und Befestigung der Impulsleitung.

“Israeli soldiers have described a free-for-all in Gaza and a breakdown in norms and legal constraints, with civilians killed at the whim of individual officers, according to testimony in a TV documentary.
“If you want to shoot without restraint, you can,” Daniel, the commander of an Israel Defense Forces (IDF) tank unit, says in Breaking Ranks: Inside Israel’s War, due to be broadcast in the UK on ITV on Monday evening.
Some of the IDF soldiers who talked to the programme reques…

celegans_2019: Complete C. elegans neurons (2019)
Networks among neurons of both the adult male and adult hermaphrodite worms C. elegans, constructed from electron microscopy series, to include directed edges (chemical) and undirected (gap junction), and spanning including nodes for muscle and non-muscle end organs.
This network has 575 nodes and 5306 edges.
Tags: Biological, Connectome, Weighted

This horrific green shed is finally nearing its end.
Screw piles going in for its replacement so they can settle in over winter
Architect impression for new shed and tiny office combo yay

I purposely made my “Entry to Left‑Wing Anarchist Reading” page look almost exactly like a Google Doc, just so the normies wouldn’t freak out and bounce the second they open it.

https://midtsveen.codeberg.page/resources.html

fly_hemibrain: Fly hemibrain (2020)
A synaptic map of the hemibrain connectome of fruit fly Drosophila melanogaster. Nodes are neurons, and edges are synaptic connections, traced individually from brain image sections using EM reconstruction techniques. Neurons are labeled by their type. Edges are annotated by the connection strength between the neurons.
This network has 21739 nodes and 4259624 edges.
Tags: Biological, Connectome, Weighted, Metadata

celegansneural: C. elegans neurons (1986)
A network representing the neural connections of the Caenorhabditis elegans nematode.
This network has 297 nodes and 2359 edges.
Tags: Biological, Connectome, Weighted
https://networks.skewed.de/net/celegansneural
Rid…