Summary: Simulation neurons found in the amygdala allow animals to reconstruct the mental state of social partners and predict intentions. Dysfunction in these newly identified neurons may be involved in disorders associated with social behavioral problems, such as autism and social anxiety.
Source: UPF Barcelona
Psychologists and philosophers had long suggested that simulation is the mechanism whereby humans understand the minds of others. However, the neural basis of this complex process had not been identified. The amygdala is involved in various functions related to social behaviour as well as in autism. However, it was not known whether the amygdala neurons contributed to advanced social knowledge, such as simulating the decisions of other individuals. A recent study identifies a type of neuron that had not previously been described that actively and spontaneously learns from decision-making by other individuals and simulates their mental processes.
The dysfunction of these simulation neurons might be involved in the restriction of social knowledge, one of the symptoms of autism and, through hyperactivity, may give an exaggerated version of others and play an important role in social anxiety, the authors speculate.
The study, published on 14 April in Cell, one of the journals with the highest impact factor, is the result of research led by Wolfram Schultz, a scientist at the University of Cambridge (UK) involving Gustavo Deco, ICREA research professor with the Department of Information and Communication Technologies (DTIC) and director of the Center for Brain and Cognition (CBC) at UPF.
The work suggests that these so-called “simulation neurons”, found in the amygdala, a collection of nerve cells in the brain’s temporal lobe, allow animals (and potentially also humans) to reconstruct the mental state of their social partners and, therefore, predict their intentions.
The simulation of decisions is involved in social learning
The first author of the study, Fabian Grabenhorst, a researcher at the Department of Physiology, Development and Neuroscience at the University of Cambridge explains: “We started to look for neurons that might be involved in social learning. We were surprised to discover that neurons in the amygdala not only learn the value of the objects of social observation, but they used this information to simulate the decisions of their partner”.
The simulation of the decisions of others is a sophisticated cognitive process within social learning. “For example, by observing the foraging choices of another individual, we can learn what food is worth choosing. This knowledge is not only to do with our own decisions but also help us to predict the future decisions of others”, says Gustavo Deco, co-author of the study.
For the study, the researchers recorded the activity of amygdala neurons in monkeys while participating in observational learning tasks. Positioned in pairs, facing each other, with a touch screen between them, the animals had to take a decision if they wanted to receive the reward (fruit juice). To maximize their reward, the animals had to learn and monitor the likelihood of reward associated with the different images displayed to them on the screen. The study allowed the animals to observe the choices taken by their partner and learn the reward values of each image. The researchers say that once the images were switched, the observing animal could make use of this knowledge when it was the recorded monkey’s turn to choose.
Surprisingly, it was seen that when an animal observed its partner, the neurons in the amygdala of the observer seemed to make a decision computation. These neurons were able to make a prediction about the reward value of the partner’s choices before taking a decision, which is in line with a simulated decision-making process. It is important to highlight that these patterns of activity occurred spontaneously, long before the partner’s choices and options without the need for a decision by the observer.
First computational model of the neural circuits of the amygdala
Based on the results obtained, the scientists created the first computational model of the neural circuits of the amygdala involved in social cognition. As Gustavo Deco points out, “when observing how the specific types of neurons influence each other, this model suggests that the amygdala contains a “decision circuit” that identifies the animal’s own choices and a separate “simulation circuit” that calculates the prediction of the choice of the social partner”.
Simulation and decision neurons are closely intermingled in the amygdala. The authors have managed to distinguish them and their different functions thanks to the computational model, which would not have been possible only with human brain imaging techniques that measure the average activity of a large number of neurons.
Autism and social anxiety, two sides of the same coin
The scientists suggest that an alteration in the functionality of simulation neurons may impoverish social cognition. Grabenhorst, first author of the paper explains: “If simulation neurons do not work properly, a person may not interact effectively with the mental states of others. We know very little about how specific types of neurons contribute to social cognition and the social challenges faced by individuals with autism. By identifying the neurons and mechanisms of specific circuits for mental simulation, our study may provide new ideas on these conditions”.
Nuria Pérez – UPF Barcelona
The image is credited to UPF.
Original Research: Open access
“Primate Amygdala Neurons Simulate Decision Processes of Social Partners”. Fabian Grabenhorst, Raymundo Báez-Mendoza, Wilfried Genest, Gustavo Deco, Wolfram Schultz.
Primate Amygdala Neurons Simulate Decision Processes of Social Partners
• Amygdala neurons derive object values from own experience and social observation
• Simulation neurons convert object values to predictions of social partner’s choices
• Simulation neurons code signatures of decision computation during social observation
• Simulation signals can emerge from converging value signals and self-other signals
By observing their social partners, primates learn about reward values of objects. Here, we show that monkeys’ amygdala neurons derive object values from observation and use these values to simulate a partner monkey’s decision process. While monkeys alternated making reward-based choices, amygdala neurons encoded object-specific values learned from observation. Dynamic activities converted these values to representations of the recorded monkey’s own choices. Surprisingly, the same activity patterns unfolded spontaneously before partner’s choices in separate neurons, as if these neurons simulated the partner’s decision-making. These “simulation neurons” encoded signatures of mutual-inhibitory decision computation, including value comparisons and value-to-choice conversions, resulting in accurate predictions of partner’s choices. Population decoding identified differential contributions of amygdala subnuclei. Biophysical modeling of amygdala circuits showed that simulation neurons emerge naturally from convergence between object-value neurons and self-other neurons. By simulating decision computations during observation, these neurons could allow primates to reconstruct their social partners’ mental states.