> the scientists applied a sensor that records tactile data to the 26 letters of the Braille alphabet.
> They converted this data to electrical stimulation patterns and presented the organoids with the different patterns to see if they would produce neural activity that could tell the scientists what stimulus they’d received.
> The organoids’ patterns of neural activity were classified using a simple machine learning algorithm, a support vector machine, that could sort the patterns and detect whether given signals corresponded to specific letters.
What I don’t understand is this: do the organoids actually learn (in the sense that there is an adjustment of the synaptic weights), or do they simply pass on the electrical signal in a different form?
> the scientists applied a sensor that records tactile data to the 26 letters of the Braille alphabet.
> They converted this data to electrical stimulation patterns and presented the organoids with the different patterns to see if they would produce neural activity that could tell the scientists what stimulus they’d received.
> The organoids’ patterns of neural activity were classified using a simple machine learning algorithm, a support vector machine, that could sort the patterns and detect whether given signals corresponded to specific letters.
What I don’t understand is this: do the organoids actually learn (in the sense that there is an adjustment of the synaptic weights), or do they simply pass on the electrical signal in a different form?