#Neuron

2026-02-18

RAG на PHP + Qdrant: быстрый MVP для внутренней базы знаний

RAG на PHP - звучит непривычно. Делюсь опытом построения чат-бота для поиска по внутренней базе документов: Symfony, Qdrant с гибридным поиском, YandexGPT для embedding и генерации ответов. Внутри — готовый код, подводные камни чанкинга и советы, которые сэкономят вам время.

habr.com/ru/articles/1001156/

#rag #retrieval_augmented_generation #llm #qdrant #yandexgpt #php #rag_pipeline #neuron

2026-02-18

@cubeos

#Neuron #Fisch- oder Vogelschwärmen

INSTINKTIVES/VEGETATIVES (Schwarm)Bewusstsein, bei Mensch in gleichermaßen unverarbeitet-instinktiver Bewusstseinsschwäche von Angst, Gewalt und egozentriertem "Individualbewusstsein" - EMOTIONALITÄT, die bisher letzte Stufe, seit Mensch einzigen GEISTIGEN Evolutionssprung in den geistigen Stillstand, ist in der wettbewerbsbedingt-konfusen Vernetzung der Gott / die "Vernunft" der materialistischen "Absicherung", ANSTATT ...⁉️
🥴

@BlumeEvolution

2026-02-18

@BlumeEvolution "... aber deren systemische Vernetzung schon - das bedeutet #Emergenz."

#Neuron

INSTINKTIVES/VEGETATIVES Bewusstsein, in gleichermaßen unverarbeitet-instinktiver Bewusstseinsschwäche von Angst, Gewalt und egozentriertem "Individualbewusstsein" - EMOTIONEN/EMOTIONALITÄT, die nächste und bisher letzte Stufe, seit Mensch erstem und bisher einzigen GEISTIGEN Evolutionssprung, ist in der Vernetzung für die wettbewerbsbedingt-konfuse Symptomatik der Gott / die "Vernunft" der ...⁉️
🥴

Knowledge Zonekzoneind@mstdn.social
2026-01-23

#ITByte: An #Artificial #Neuron, or node, is a basic computational unit in an artificial neural network (ANN) that mimics a biological neuron.

It receives inputs, multiplies them by associated weights, adds a bias, applies an activation function to the weighted sum, and produces an output.

knowledgezone.co.in/posts/Arti

2026-01-19

Interesting STEM - neuron trying to connect to other neurons

dioxitube.com/videos/watch/5ac

2026-01-14
katch wreckkatchwreck
2025-12-20

"These results have broad implications for biological processes regulated by membrane potential, particularly in contexts such as neuronal signaling, where condensate interactions with membranes may play a previously unrecognized regulatory role."

katch wreckkatchwreck
2025-12-20

`We report that plasma concentrations of ubiquitin C-terminal hydrolase-L1 (UCH-L1) and neurofilament light (NfL) become exponentially higher from ages 2 to 85 in cross-sectional samples, serving as neuronal death/damage biomarkers across the lifespan.`

cell.com/cell-reports-medicine

Fabrizio Musacchiopixeltracker@sigmoid.social
2025-12-01

🧠 New preprint by Tilbury et al: Characterizing #NeuronalPopulation geometry with #AI equation discovery

The approach generates & evaluates 100s of candidate equations, finding "peaky" non-Gaussian tuning functions whose Fourier structure matches power-law dimensionality observed in real #V1 pops. Links shape of single-#neuron tuning to #PopulationLevel geometry using both data fits & analytical derivations.

🌍 doi.org/10.1101/2025.11.12.688

#CompNeuro #Neuroscience #NeuralCoding #PopulationDynamics

Fig. 1. Oriented stimuli produce a high-dimensional population code not captured by standard tuning curve models.Fig. 5. Effect of tuning peakiness on a simulated hyperacuity task.
2025-11-19

An interesting essay by Oliver Hobert on 'Paraneurons':

"unifying sensory receptors
located on external or internal epithelial
cells feeding into the nervous system,
as well as effector cells of the nervous
system that respond to neuronal
stimuli by releasing hormonal cues "

doi.org/10.1016/j.cub.2025.09.

#neuroscience #evolution #neuron

should by CC BY but seems still paywalled, so here is the pdf:

filedn.eu/le72s5BixmY56gW5mfmY

Figure on neurons and paraneurons.
The spectrum of neurons (left) and paraneurons (right), as drawn by Fujita et al.4 1: enteric neuron, which
is considered by Fujita as the prototype of neurons; 2: multipolar autonomic neuron; 3: sensory neuron;
4: pyramidal neuron; 5: Purkinje cell; 6: ‘neurosecretory’ or ‘peptidergic’ neuron; 7: CSF-contacting
neuron; 8: olfactory cell; 9: gut endocrine cell, which for Fujita represents the prototype of paraneurons;
10: carotid body chief cell; 11: adrenal chromaffin cell; 12: adenohypophysial, parafollicular, or other
endocrine cell; 13: pinealocyte; 14: visual cell; 15: Merkel cell; 16: inner ear hair cell; 17: bronchopulmo-
nary paraneuron; 18: gustatory cell.
2025-11-15

Собираем простейшую RAG-систему на PHP с фреймворком Neuron AI за вечер

RAG (Retrieval-Augmented Generation или генерация, дополненная поиском) - это метод искусственного интеллекта, сочетающий генеративную большую языковую модель (LLM) с внешней базой знаний для создания более точных, контекстно-зависимых и актуальных ответов. Принцип его работы заключается в том, что сначала извлекается релевантная информация из набора документов или источников данных, а затем эта информация передается в LLM для формирования окончательного ответа. Этот процесс позволяет модели выдавать более точные ответы, менее подверженные “галлюцинациям”, и ее можно обновлять без дорогостоящего переобучения. Сегодня мы разберёмся, как собрать базовую RAG-систему на PHP (да, да, не надо удивляться) с помощью фреймворка Neuron AI . Это будет наш маленький proof-of-concept - минимально работающий, но вполне реальный пример. Ну что, начнём генерацию?

habr.com/ru/articles/966792/

#rag #rag_ai #php #llm #llmагент #rag_api #vectorization #embeddings #neuron

Fabrizio Musacchiopixeltracker@sigmoid.social
2025-11-14

🧠 New paper by Deistler et al: #JAXLEY: differentiable #simulation for large-scale training of detailed #biophysical #models of #NeuralDynamics.

They present a #differentiable #GPU accelerated #simulator that trains #morphologically detailed biophysical #neuron models with #GradientDescent. JAXLEY fits intracellular #voltage and #calcium data, scales to 1000s of compartments, trains biophys. #RNNs on #WorkingMemory tasks & even solves #MNIST.

🌍 doi.org/10.1038/s41592-025-028

#Neuroscience #CompNeuro

Fig. 1: Differentiable simulation enables training biophysical neuron models.
The Perpetually Curious!theperpetuallycurious8
2025-11-13

🧬 The Molecular Tragedy of Neurodegeneration

When proteins misfold, they corrupt others into their twisted shape. This cascade creates Alzheimer's, Parkinson's, and ALS. Specific neurons fall while others persist because cellular architecture and metabolic demands determine vulnerability.

✍️ Explore the science: TPC8.short.gy/gfHh9uCh

🧠 Understanding molecular failure illuminates therapeutic hope.

2025-11-09

EBIKES AND SCOOTERS CONTINUE SEEING SUCCESS IN WR

In the spring of 2023, Neuron Mobility launched a transportation program utilizing orange e-scooters and e-bikes in the Waterloo Region. Residents were given access to these shared modes of environmentally friendly electric vehicles. The program has found success within the region—it offers a quick alternative to driving cars around Kitchener, Waterloo and Cambridge.   

Statistics from the spring, summer and fall of 2023 demonstrate positive results, including a total of 46,000 riders; 190,000 trips; 360,000 kilometers ridden; $8.2 million poured into the Waterloo Region economy and 12 tonnes of carbon dioxide emissions saved, which is the equivalent of 192 mature trees.   

The Waterloo Region is in the process of building a sustainable transportation network. These e-scooters and e-bikes are an affordable transportation option that makes sense for all types of inner-city travel, leisure rides and short trips transporting a person from their home to their workplace or school. Riders can use e-scooters or e-bikes to get from their homes to an ION or bus stop. Travelers can access an e-bike or e-scooter at a particular point in the region and then ride it and drop it off at a completely different part of town.   

Colleen James, regional councillor for the City of Kitchener, said the idea of introducing Neuron e-scooters and e-bikes into the region made sense for many reasons, including the reduction of community-wide greenhouse gas emissions by 2030. This reduction is a climate goal set by the Region of Waterloo. Using low-carbon transportation is a strategy to reach this goal by 2030.   

“The benefit to this program is that it was not going to cost us anything, so there is no cost to taxpayers. This is literally a partnership (between the Region and Neuron Mobility) to promote more active transportation,” James said.   

James went on to say that this program allows for more options for travel within our region.   

“The Region of Waterloo is Canada’s only multi-jurisdiction shared micromobility program…The success of the program can be attributed to a number of factors including the fantastic work of our municipal partners and the enthusiasm for the service from our riders across the Region,” Isaac Ransom, head of corporate affairs for Neuron Mobility, Canada said.   

Neuron Mobility also has e-scooters and e-bikes in 17 cities across Canada, including Ottawa, Brampton, Vaughan, Calgary, Edmonton, Red Deer, Saskatoon and Regina. Since the launch of these programs in 2021, riders of Neuron e-scooters and e-bikes have travelled over nine million kilometres.   

To rent and ride an e-scooter or an e-bike, simply download the Neuron Mobility app and follow the instructions. A person must be at least 16 years old to rent the equipment.   

The cost is approximately $2,000 per year for active use. From an environmental point of view, this is a reasonable cost compared to the cost of running a car for a year.    

James, with many others, sees a bright future with the continuous utilization of e-bikes and e-scooters within the Waterloo Region. 

#brampton #calgary #cambridge #cityOfKitchener #co2 #colleenJames #eBikes #eScooters #edmonton #environmental #environmentallyFriendlyVehicles #escooters #ev #friendlyVehicles #kitchener #lizGaiger #neuron #neuronMobility #ottawa #redDeer #regina #region #sangjunHan #saskatoon #vaughan

Photo taken outside of a neat row of orange eBikes, sitting beside a red bricked building somewhere in Waterloo, Ontario.
2025-10-22

Nochmal zu 🍎 und 🍅: was genau geht in ein neuronales Netz rein und was kommt raus? Ich habe mich daran versucht, zu erklären, wie Neuronen genauer funktionieren. Wie hättet ihr den Übergang vom Code zum “Bild” Neuron erklärt?
#ki #kuenstlicheIntelligenz #neuron

Scientific Frontlinesflorg
2025-10-13

For decades, have been developing that can be transferred into for applications such as reprogramming a stem cell into a or generating a protein that could help treat a such as fragile X syndrome.

sflorg.com/2025/10/btech101325

Edenhofer Lab (UIBK)stemcelluibk
2025-10-11

New paper is out! It was great to collaborate in the modelling of progressive using , where the inflammatory response is maintained. We found disease-activated radial glia in this model, which is also present in post-mortem patient tissue.
cell.com/neuron/fulltext/S0896

2025-10-08

@roots wow, this looks just like a pyramidal #Neuron in the #Hippocampus!

Source: Pyramidal neurons

Screenshot of an example pyramidal neuron from the CA3 field of the rat hippocampus. It looks like a bunch of spaghetti attached a bit below the top (where the cell body is) and then spreading down.
Fabrizio Musacchiopixeltracker@sigmoid.social
2025-10-07

🧠 New preprint by Chintaluri et al. (2025): An ion channel #omnimodel for standardized #biophysical #neuron #modelling. A unified #HodgkinHuxley formalism applied to >3,500 ion channel models from #ModelDB. Enables cross-model comparison, #clustering, and reproducible simulation through a shared parametrization:

🌍 doi.org/10.1101/2025.10.03.680

#CompNeuro #Neuroscience #Reproducibility

Figure 1: A sample of three gating variables for the sub-families of voltage-gated A) potassium, B) sodium, C) calcium, D) Ih- and E) Ca-dependent potassium channel models available on ICG. These gating variables were extracted directly from the respective .mod files at 6.3◦C and 5µM intracellular Ca2+ concentration. The top row shows the probability of the channel opening at different membrane potentials, and the bottom row shows the corresponding time constants at these
potentials.

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