Food-searching is an example of a goal-directed behaviour which is essential for survival. Scientists at the University of Sussex have discovered how just two neurons in the brain hold the key to explaining how complex behavioural decisions are made.
In the first-of-its-kind study, published in Nature Communications
, scientists from the University studied the brain activity of freshwater snails and discovered how a circuit comprising of just two neurons can drive a sophisticated form of decision making.
‘For the first-time, study reveals how just two neurons can create a mechanism in an animal's brain which drives and optimizes complex decision making tasks.’
Scientists, from Sussex Neuroscience, monitored the snails' behaviour whilst they made decisions in their search for food (in this case lettuce). The researchers then measured the activity in the snail's brain by using electrodes to record small electrical changes, called action potentials, in individual neurons.
They discovered a controller type neuron which lets the snail's brain know potential food is present and a second neuron which transmits signals telling the snail's brain what it's motivational state is, i.e., whether it's hungry or not. The scientists also reveal how the system, created by the neurons, enables the snails to save energy by reducing brain activity when food is not found.
Professor George Kemenes, of the University of Sussex, who led the study, said: "What goes on in our brains when we make complex behavioural decisions and carry them out is poorly understood.
"Our study reveals for the first-time how just two neurons can create a mechanism in an animal's brain which drives and optimizes complex decision making tasks. It also shows how this system helps to manage how much energy they use once they have made a decision.
"Our findings can help scientists to identify other core neuronal systems which underlie similar decision making processes. This will eventually help us design the 'brains' of robots based on the principle of using the fewest possible components necessary to perform complex tasks."
During goal-directed decision making, such as searching for food, animals must integrate information about both their external environment and their internal state in order to find food whilst using minimal energy.