Not exact matches
The ~ 200 GB
of data for each brain was then analyzed with machine learning algorithms that identify
individual neurons by
type, according to parameters «learned» from human experts.
They found that
individual neurons in mPFC became activated in response to both «go» and «stop» environmental cues, suggesting that it may play a role in both
types of control.
Researchers have begun using genetically encoded sensors to monitor the behavior
of individual neurons, and they've been using brief pulses
of light to trigger certain
types of neurons to activate.