#cortical

ℵ₀ 🏳️‍⚧️🏴‍☠️null_aleph
2025-12-13
2025-10-08

「活體」伺服器:科學家培養「迷你人腦」為電腦提供動力

BBC News 中文 2025-10-08 14:00:00 CST
科學家正開發以人類神經元「類器官」運算的「生物電腦」。此「濕體」技術目標為發展低功耗 AI 與疾病模型,旨在補充而非取代現有矽基技術,目前尚處早期階段。
https://www.thenewslens.com/article/259471
#幹細胞 #生物電腦 #濕體 #人工智慧 #Cortical Labs #類器官 #FinalSpark #科學 #神經元

2025-09-19

Cortical development in #primates follows a hierarchical gradient, but how does this vary between species? This study shows that #humans & #macaques share conserved maturation patterns, with humans exhibiting prolonged #cortical development @PLOSBiology plos.io/4prEO65

Top: Schematic of the analytical approach for evaluating the T1w/T2w ratio across cortical regions and depths in macaques (left) and humans (right). In each case, the left panel displays the discrete parcels of CHARM level 6 for macaques and Schaefer 400 for humans. The middle panel labels the parcels based on geodesic distance for macaques or the sensorimotor-association axis for humans, with colors transitioning from yellow (sensorimotor) to purple (association). The right panel visualizes the laminar organization, with colors transitioning from deep blue (deep layers) to light green (superficial layers). Bottom: T1w/T2w ratio developmental trajectories across sensorimotor (yellow) and association (purple), regions, and across deep (dark blue) and superficial (green) cortical layers for macaques (straight) and humans (dotted). T1w/T2w values are adjusted relative to 1 year old (macaque) and 4 years old (human) as the baseline (y = 0). The age spans that overlap between macaques and humans are shown in solid colors, while the non-overlapping age span are plotted in diluted colors.
Fabrizio Musacchiopixeltracker@sigmoid.social
2025-09-18

🧠 New study by Lempel et al. (2025): Visual experience after eye opening aligns #feedforward inputs (L4) and #RecurrentNetworks (L2/3) in mouse #VisualCortex. This improved alignment, together with enhanced orientation discrimination, creates coherent, reliable sensory codes, revealing how experience shapes stable #cortical representations:

🌍 doi.org/10.1016/j.neuron.2025.

#Neuroscience #CompNeuro #Plasticity #CorticalCircuits

Figure 1 Coactivity of L4 single units with modular L2/3 responses undergoes dramatic changes following experience
Fabrizio Musacchiopixeltracker@sigmoid.social
2025-08-13

📚 New preprint by Song et al.: Geometry of #NeuralDynamics along the #cortical #attractor landscape reflects changes in attention. They show that while attractor positions are determined by cortical organization, the geometry of neural dynamics on the landscape changes systematically with attentional states and contexts.

🌍 biorxiv.org/content/10.1101/20

#Neuroscience #Attention #fMRI #CompNeuro

Figure 1. Schematics of the geometry of neural dynamics on the attractor landscape. A state space is defined where each dimension represents the activity of a brain region spanning the cortex. The hills and valleys represent the attractor landscape with valleys indicating the attractors. Each attractor corresponds to a recurring brain state that is identified from large-scale patterns of regional activity and interaction. The circles represent the neural activity at a specific moment. The trajectory of neural activity (indicated with black arrow) is largely determined by the landscape but can also be affected by external perturbations. For example, the red circle is more likely to fall toward the attractor based on the intrinsic landscape but may
move away from the attractor when perturbed by external forces, such as stimuli, task demands, or
behaviors. The speed and direction of the movement on this landscape defines the geometry of neural dynamics. Example brain state figures are adapted from Song et al. (2023).
Verfassungklage@troet.cafeVerfassungklage@troet.cafe
2025-06-10

Echte #Intelligenz:

#Menschliche #Neuronen als #biologischer #Computer verfügbar.

#Lebende #Nervenzellen auf einem Chip imitieren die Funktion des Gehirns. Ein Einsatz für #KI-Beschleunigung und Bitcoin-Mining ist denkbar.

Das australische #Start-up #Cortical #Labs hat mit #CL1 einen #Computer vorgestellt, in dem 800.000 menschliche #Nervenzellen auf einem #Siliziumchip für die #Informationsübertragung genutzt werden.

golem.de/news/echte-intelligen

John Vaccaro (johniac)johniac
2025-03-30
Carlos Silvacarlos_silva_pe
2025-03-07

O primeiro computador biológico do mundo usa células cerebrais humanas

A empresa australiana de biotecnologia Cortical Labs apresentou aquele que afirma ser “o primeiro computador biológico do mundo com código implementável”, combinando células cerebrais humanas com computação tradicional baseada em silício.

pplware.sapo.pt/ciencia/o-prim

fyre_festivalsfyre_festivals
2025-02-23

New Artist announced for Rewire Festival 2025: 🔥 Cortical 🔥

🎶 Listen to the current LineUp on YouTube and Spotify: fyrefestivals.co
🎟️ Get your Tickets now: prf.hn/l/EJnYMdO

Fabrizio Musacchiopixeltracker@sigmoid.social
2024-04-30

The #Izhikevichmodel is a powerful tool for simulating the #spiking and bursting behavior of #neurons with a remarkable balance between biological relevance and computational efficiency 💫 Here is a short introduction along with a #Python implementation to simulate various types of #cortical neurons, including regular spiking, fast spiking, and bursting neurons:

🌍 fabriziomusacchio.com/blog/202

Feel free to share and experiment with it ☺️

#CompNeuro #ComputationalModelling #ComputationalNeuroscience

Chattering neurons, modeled with the Izhikevich model.
The vOICe vision BCI 🧠🇪🇺seeingwithsound@mas.to
2024-04-30

Two-year postdoc position at #NeuroSpin on visual plasticity of blind individuals jobrxiv.org/job/unicog-27778-t "study the #visual #plasticity and potential #cortical #reorganization of #blind individuals"; 3T, 7T #fMRI, 11.7T #MRI

2023-07-11

Our review paper on #cortical integration of #vestibular and #visual signals is now out on @AnnualReviews. We delve into the fascinating topic, shedding light on knowledge gaps and suggesting promising directions for future research. Check it out!

#multisensoryintegration #percepcion #spatialnavigation #selfmotion #cortex #neurosciene #neuralcircuits

doi.org/10.1146/annurev-neuro-

katch wreckkatchwreck
2023-06-20

"Thus, the macaque may be a promising translational model of serotonergic processing and disorders. The receptor gradients may enable rapid, reliable in sensory areas and slow, flexible integration in higher areas."

nature.com/articles/s41593-023

Chuck Darwincdarwin@c.im
2023-06-14

Cortical thinning is associated with altered neurotransmission in young adults with a history of heavy drinking since adolescence

The article discusses a recent study conducted in Finland that explored the effects of #heavy #alcohol #consumption during #adolescence on #brain #development.

The study followed a group of young adults over a 10-year period, comparing those with a history of heavy drinking in adolescence to those who consumed little or no alcohol. The researchers found that the heavy-drinking group had #lower #cortical #gray #matter #thickness in several brain regions and #altered #neurotransmission compared to the control group.

Specifically, they observed increased activity in inhibitory neurotransmitters and thinner gray matter in the #frontal and #parietal lobes.

The study highlights the potential negative impact of heavy alcohol use during adolescence on brain structure and function, emphasizing the need for further research to understand the underlying mechanisms

| University of Eastern Finland

uef.fi/en/article/cortical-thi

2023-05-23

How does sensing link to movement in #whiskers? A new #PLOSBiology study uses trans-synaptic tracing and functional analysis to reveal novel pathways for the transformation of #cortical signals into long-range output signals in the mouse whisker system. #neuroscience
plos.io/3oiZtyx

Diagram showing a summary of monosynaptic trans-collicular pathways of the whisker superior colliculus. Motor-sensory long-range inputs innervate inhibitory and noninhibitory projection neurons in the lateral superior colliculus. Noninhibitory pathways target nuclei in the diencephalon and brainstem, while inhibitory projection neurons target higher-order thalamus and extrathalamic inhibitory nuclei and not the brainstem.

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