Neuroscientists and psychologists have been trying to understand how the human brain supports learning and the encoding of ...
Two types of neurons in the skin may be particularly important for how the brain interprets social contact between people, according to a new study led by Linköping University in Sweden. Knowledge of ...
Researchers have gained a new understanding of how the brain processes reward and risk information. Neuroscientists show how nerve cells in the so-called amygdala not only encode the probability and ...
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Scientists reconstructed videos straight from a mouse’s brain and learned something about cognition in the process
Open the Youtube video Neuroscientists have successfully reconstructed moving images directly from the brain activity of mice ...
In the developing brain, neurons must navigate through complex and often crowded tissue to reach their final destinations—this process is crucial for proper brain formation and function. Similar to ...
CINCINNATI (WKRC) - Ever wondered how your brain stacks up against a computer? A recent study revealed just how many bits of data the human brain can process per second. A new study from the ...
Researchers have created a protein that can detect the faint chemical signals neurons receive from other brain cells. By tracking glutamate in real time, scientists can finally see how neurons process ...
Ever wonder when you touch something, how the brain is able to know it? A generally accepted view embraced by neuroscientists is that different parts of the brain are responsible for certain functions ...
How do we make decisions? Or rather, how do our neurons make decisions for us? Do individual neurons have a strong say or is the voice in the neural collective? One way to think about this question is ...
Experimental electron micrograph of purified synaptic vesicles (upper). Synaptic vesicles automatically identified in the image with a new computer program are highlighted with different colours and ...
International researchers develop NTAC, an AI that identifies neuronal types with 90% accuracy based purely on synaptic connectivity, outperforming traditional shape-based methods.
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