Human learning borrows substantial help from unexpected outcomes, reveal psychologists and neuroscientists from the University of Pennsylvania.
Describing their study in the journal Science, the researchers revealed that they used a computer-based card game and microelectrodes to observe neuronal activity of the brain.
They said that their study suggested that neurons in the human substantia nigra (SN) play a central role in reward-based learning, modulating learning based on the discrepancy between the expected and the realized outcome.
"This is the first study to directly record neural activity underlying this learning process in humans, confirming the hypothesized role of the basal ganglia, which includes the SN, in models of reinforcement including learning, addiction and other disorders involving reward-seeking behavior," said lead author Kareem Zaghloul, postdoctoral fellow in neurosurgery at Penn's School off Medicine.
"By responding to unexpected financial rewards, these cells encode information that seems to help participants maximize reward in the probabilistic learning task," the researcher added.
Previous studies on animal models suggested that learning occurs when dopaminergic neurons, which drive a larger basal ganglia circuit, are activated in response to unexpected rewards and depressed after the unexpected omission of reward.
The researchers explain this by giving the example that a lucky win is more likely to be retained than a probable loss.
"Similar to an economic theory, where efficient markets respond to unexpected events and expected events have no effect, we found that the dopaminergic system of the human brain seems to be wired in a similar rational manner -- tuned to learn whenever anything unexpected happens but not when things are predictable," said Michael J. Kahana, senior author and professor of psychology at Penn's School of Arts and Sciences.
