These are public posts tagged with #neural. You can interact with them if you have an account anywhere in the fediverse.
SciTech Chronicles. . . . . . . . .April 6th, 2025
#Catalyst #palladium #platinum #SAC #plutonium #instruments #power-savings #interstellar #HCP #Network #Correspondence #commonalities #cratonic #thinning #Midwest #tomographic #neural-network-driven #machine-vision #terminal #guidance
Vol II No 5 178 links Curated All natural, in the sense…
scitechchron.blogspot.comScientists map #neural wiring of #vocal circuits in #songbirds.
https://phys.org/news/2025-03-scientists-neural-wiring-vocal-circuits.html
Researchers have mapped the long-range synaptic connections…
Phys.org Chapter 2 is now online!
2. #modeling: https://modfeelblog.wordpress.com
How #good #decisions are made: Creating #models of the #environment and how to use them for #simulations and #predictions.
We shed light on the #limitations of #neural #modeling and discuss challenges such as the #selection and #combination #problem
#Modeling #NeuronalNets #Simulation #Prediction #Cognition #Evolution #Science
A single #protein may have helped shape the emergence of spoken #language.
#NOVA1 #human_evolution #anthropology #RNA_binding_protein #neural #development
https://phys.org/news/2025-02-protein-emergence-spoken-language.html
The origins of human language remain mysterious. Are…
Phys.orgSciTech Chronicles. . . . . . . . . . . . . . . . . . . . .Jan 21, 2025
#underground #bacteria #archaea #methanogenic #Quebec #aggression #antisocial #boys #predicted #glymphatic #clearance #norepinephrine #brain #fluid #dynamics #BrainGate2 #Neural #Interface #cursor #finger #independently #damage #coral #monitoring #flattened #axis
#News from #AI #research
: “How #ChatGPT
can benefit from human #brains
- or how we teach #machines
to #think
”
My colleague #Axel #Stöcker and I have already been able to conduct some very exciting interviews on this very topic in our #Zoomposium series “#Artificial #intelligence and its consequences” and “#Cognitive #neuroscience and #epistemology”.
One “highlight”, for example, was the very exciting interview “Zoomposium with Dr. #Patrick #Krauss: ‘Bauanleitung Künstliches Bewusstsein’“, in which we asked him about the possibilities of ‘how the #theories of #consciousness - especially those of #Antonio #Damasio - could be used to develop artificial systems based on ’#felt” #information. This foundation could be used to #machine #learning and #deep #learning so that #AI #systems learn to respond to #emotions and #changes in their #environment in a similar way to #biological #organisms.
In this context #Patrick #Krauss was also currently at the „#Embodied and #Situated #Language #Processing (#ESLP2024) conference from 03 to 05 October 2024, which was organized by members of the „#Brain #Language #Lab“ of the #FreienUniversitätBerlin. There he had the opportunity to present the latest research results together with his team from #FAU.
One of #Patrick #Krauss talks was about a study „Analyzing Narrative Processing in Large Language Models”, which he had conducted in collaboration with his colleague #Achim #Schilling. The results of this study are partly based on an article “Leaky-Integrate-and-Fire Neuron-Like Long-Short-Term-Memory Units as Model System in Computational Biology”, for which he and his team were awarded the #BestPaperAward at the „International Jount Conference on Neural Networks #IJCNN2023”, the world's largest interdisciplinary conference on #artificial and #biological #neural #networks.
These current results from AI research of #Patrick #Krauss are therefore a real „jointventure” between #AI and #neuroscience, as the data and methods can contribute directly to the improvement of #large #language #models (#LLM), such as #ChatGPT, and in return the #cognitive #neurosciences can also learn something about the use and formation of #language in the #brain from this #implementation and #simulation of #cognitive #processes on #machines.
If you would like to learn more about #Patrick #Krauss ' very interesting #research #results, you can find out more here:
https://www.ai.fau.digital/speakers/dr-patrick-kraus/
or at: https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/
A three-step framework for improving spatiotemporal estimates of actual evapotranspiration (ETa).
Using #neural networks and cloud-free imagery from SpaceEye, the study demonstrates accurate ETa predictions at a 30-m resolution, addressing challenges of coarse satellite data and low revisit frequency.
Pyramidal cell types and 5-HT2A receptors are essential for #psilocybin's lasting drug action https://www.biorxiv.org/content/10.1101/2024.11.02.621692v1 on #structural #neural #plasticity #neuroscience
"We find that a single dose of psilocybin increased the density of dendritic spines in both the subcortical-projecting, pyramidal tract (PT) and intratelencephalic (IT) cell types."
Psilocybin is a serotonergic psychedelic with therapeutic…
bioRxivNieuwe ai-camera van raspberry pi biedt verbeterde beeldherkenning https://www.trendingtech.news/trending-news/2024/10/40904/nieuwe-ai-camera-van-raspberry-pi-biedt-verbeterde-beeldherkenning #Raspberry Pi #AI-camera #Sony IMX500 #beeldherkenning #neural network #Trending #News #Nieuws
Raspberry Pi heeft een nieuwe AI-camera uitgebracht…
Tech NieuwsVery happy of our post-review preprint on single-trial detection of cognitive events in #neural time-series
https://www.biorxiv.org/content/10.1101/2024.02.13.580102v2
TLDR: with the hidden multivariate pattern method (HMP), using a few assumptions and the E/#MEG signal during the reaction time, we can:
- recover how many task related events appear in the #EEG
- get their SINGLE-TRIAL time location and therefore also voltage activity
Measuring the time-course of neural events that make…
www.biorxiv.org"Neuronal state space analysis revealed that each repetition of a behavior was distinct, with more recent behaviors more similar than those further apart in time. ACC activity was dominated by a slow, gradual change in low-dimensional representations of #neural state space aligning with the pace of behavior. Temporal progression, or drift, was apparent on the top principal component for every session & was driven by the accumulation of experiences & not an internal clock" https://www.cell.com/current-biology/abstract/S0960-9822(24)00688-2
Really interesting #neuroscience preprint from researchers at #Brandeis on characterising #neural activity in shared communication #subspaces between the #hippocampus and the #prefrontalcortex. I found it particularly intriguing that theta power appeared to decrease subspace dimensions and increase subspace predictability, while theta #coherence had much less of an effect. https://www.biorxiv.org/content/10.1101/2024.07.08.601617v1
Rhythmic network states have been theorized to facilitate…
www.biorxiv.orgЧто скрывает под собой скрытое (латентное) пространство?
Работа с латентными пространствами Латентное пространство полезно для изучения функций данных и поиска более простых представлений данных для анализа. Как используются латентные пространства в библиотеке eXplain-NNs? Визуализация латентных пространств: Этот метод позволяет отобразить скрытые признаки или паттерны, выученные нейронной сетью, в этих латентных пространствах. Это может быть полезно для понимания, как модель организует данные и какие внутренние представления она использует для принятия решений. Анализ гомологии латентных пространств: Еще один метод, предоставляемый библиотекой eXplain-NNs, это анализ гомологии латентных пространств. Анализ гомологии используется для изучения структуры и связей между этих латентных представлений. Это помогает понять, каким образом информация организована внутри модели и влияет на ее способность принимать решения.
https://habr.com/ru/articles/807405/
#encoder #decoder #latent_diffusion #mathematics #neuralnetworks #neural_network #neuroscience #neural #ai #artificial_intelligence
Основные понятия Энкодер в машинном обучении - это…
habr.com"Visual attributes modulated #neural activity at one end of the gradient, while at the other end it reflected the upcoming response timing, with attentional effects occurring at the intersection of visual and response signals. These findings challenge multi-step models of attention, and suggest that frontoparietal networks, which process sequential stimuli as separate events sharing the same location, drive exogenous #attention phenomena such as inhibition of return."
A team from the University of Geneva has succeeded in modeling an artificial #neural #network capable of this #cognitive prowess. After learning and performing a series of basic tasks, this #AI was able to provide a linguistic description of them to a ‘‘sister’’ AI, which in turn performed them.
#ArtificialIntelligence #Neuroscience #sflorg
https://www.sflorg.com/2024/03/ai03182401.html
The UNIGE team worked on artificial neural networks,…
www.sflorg.com