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Caltech’s New Ultrafast Camera Captures Signals Traveling Through Nerve Cells

Reach out right now and touch anything around you. Whether it was the wood of your desk, a key on your keyboard, or the fur of your dog, you felt it the instant your finger contacted it.

Or did you?

In actuality, takes a bit of time for your brain to register the sensation from your fingertip. However, it does still happen extremely fast, with the touch signal traveling through your nerves at over 100 miles per hour. In fact, some nerve signals are even faster, approaching speeds of 300 miles per hour.

In vitro neurons learn and exhibit sentience when embodied in a simulated game-world

The DishBrain system was developed to leverage neuronal computation and interact with neurons embodied in a simulated environment (STAR Methods; Figure 4 A; Video S2). The DishBrain environment is a low-latency, real-time system that interacts with the vendor MaxOne software, allowing it to be used in ways that extend its original functions (Figure 4 B). This system can record electrical activity in a neuronal culture and provide “sensory” (non-invasive) electrical stimulation comparably to the generation of action potentials by activity in the neuronal network (

Toward the neurocomputer: image Processing and pattern recognition with neuronal cultures.

Scientists grow human brain cells in rats to study diseases

Scientists have transplanted human brain cells into the brains of baby rats, where the cells grew and formed connections.

It’s part of an effort to better study human brain development and diseases affecting this most complex of organs, which makes us who we are but has long been shrouded in mystery.

“Many disorders such as autism and schizophrenia are likely uniquely human” but “the human brain certainly has not been very accessible,” said said Dr. Sergiu Pasca, senior author of a study describing the work, published Wednesday in the journal Nature.

AI equal to humans in text-message mental health trial

UW Medicine researchers have found that algorithms are as good as trained human evaluators at identifying red-flag language in text messages from people with serious mental illness. This opens a promising area of study that could help with psychiatry training and scarcity of care.

The findings were published in late September in the journal Psychiatric Services.

Text messages are increasingly part of mental health care and evaluation, but these remote psychiatric interventions can lack the emotional reference points that therapists use to navigate in-person conversations with patients.