chatgpt image sep 23 2025 from tanggalin at pagandahin
<linearGradient id="sl-pl-stream-svg-grad01" linear-gradient(90deg, #ff8c59, #ffb37f 24%, #a3bf5f 49%, #7ca63a 75%, #527f32)
0%

Uncategorized

ai brain model shows how neurons learn, and where they fail

AI Brain Model Shows How Neurons Learn, and Where They Fail​

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy, variability, and underlying neural rhythms. By integrating fine-scale synaptic rules with large-scale architecture across cortex, striatum, brainstem, and acetylcholine-modulated systems, the model reproduced hallmark patterns […]

AI Brain Model Shows How Neurons Learn, and Where They Fail​ Read More »

engineered protein reveals hidden incoming signals between neurons

Engineered Protein Reveals Hidden Incoming Signals Between Neurons​

Researchers have engineered a next-generation glutamate sensor, iGluSnFR4, capable of detecting the faintest incoming synaptic signals between neurons—signals that, until now, have been nearly impossible to record in living brain tissue. By capturing these whisper-quiet inputs, scientists can finally observe how neurons weigh thousands of glutamate messages and transform them into an electrical output, the

Engineered Protein Reveals Hidden Incoming Signals Between Neurons​ Read More »

engineered protein reveals hidden incoming signals between neurons

Engineered Protein Reveals Hidden Incoming Signals Between Neurons​​

Researchers have engineered a next-generation glutamate sensor, iGluSnFR4, capable of detecting the faintest incoming synaptic signals between neurons—signals that, until now, have been nearly impossible to record in living brain tissue. By capturing these whisper-quiet inputs, scientists can finally observe how neurons weigh thousands of glutamate messages and transform them into an electrical output, the

Engineered Protein Reveals Hidden Incoming Signals Between Neurons​​ Read More »

numbers in vision can shift how we perceive space

Numbers in Vision Can Shift How We Perceive Space​​

New research reveals that numbers in our visual field can subtly distort how we judge spatial positions, showing that perception is shaped by both numerical magnitude and object-based processing. In traditional line-bisection tasks, smaller numbers shifted perceived centers leftward, supporting the idea of a mental number line.​  Read more at Cerebratech ​ 

Numbers in Vision Can Shift How We Perceive Space​​ Read More »

working nights may increase cancer risk

Working Nights May Increase Cancer Risk​​

Chronic circadian disruption — such as night-shift work, irregular schedules, or frequent jet lag — accelerates the development and spread of aggressive breast cancer. Researchers found that disrupted internal clocks not only weaken immune defenses but also reshape healthy breast tissue, creating conditions that tumors exploit.​  Read more at Cerebratech ​ 

Working Nights May Increase Cancer Risk​​ Read More »

consciousness may require a new kind of computation

Consciousness May Require a New Kind of Computation​

A new theoretical framework argues that the long-standing split between computational functionalism and biological naturalism misses how real brains actually compute. The authors propose “biological computationalism,” the idea that neural computation is inseparable from the brain’s physical, hybrid, and energy-constrained dynamics rather than an abstract algorithm running on hardware. In this view, discrete neural events

Consciousness May Require a New Kind of Computation​ Read More »

Scroll to Top