In creating a model that could quantify and predict how any brain cell would represent behavior, the team initially gathered data from neurons without tracking the cells’ specific identities.

Brain networks encoding memory come together via electric fields. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2023 / 07 / 230710113303.htm ...

By carefully analyzing these kinds of patterns of how neural activity correlated with behaviors the scientists developed the C. elegans Probabilistic Neural Encoding Model. The model, encapsulated ...

Using AI chatbots actually reduces activity in the brain versus accomplishing the same tasks unaided, and may lead to poorer ...

Another major outcome of the team’s work was the finding that while most neurons always obeyed the predictions of the model, a smaller set of neurons in the worm’s brain—about 30 percent of those that ...

The brain of a single C. elegans contains 302 neurons, which help the “worm” eat, ... a probabilistic encoding model that describes how each neuron encoded behavior. Credit: ...

These results indicate that population encoding models capture a general set of computations performed by auditory cortex and can be analyzed to derive a characterization of auditory cortical function ...

AI model crossNN identifies over 170 tumor types with high accuracy using genetic material, offering fast, non-invasive ...

Scientists merged human brain-like tissue with a computer chip in order to help teach small robotic systems how to navigate obstacles, as well as how to track and grasp items.