By integrating neuroscientific techniques, advanced behavioural analysis and computational modelling, we aim to contribute to the broader understanding of the human brain and its functions. Our ultimate goal is to translate our findings into practical applications that improve mental health, optimize learning strategies, and enhance overall well-being.
Every day, we are faced with many decisions that shape our lives, from the mundane choices of what to have on our breakfast toast to the life-altering ones that determine our careers
While some decisions may seem trivial, the cumulative effect of our choices influences the paths our lives will take
Making optimal decisions is therefore of critical importance
In familiar scenarios, we often rely on past experiences and repeat actions that have been rewarded
After all, if the cheese was delightful yesterday, why not choose it again
Yet, there are countless instances where we find ourselves in new situations that we have never experienced before
In such situations, we might adapt our decision-making based on behaviours we see in others (Garvert et al. Neuron 2015)
Alternatively, we rely on the structure that exists in the world and exploit the fact that we are likely to have made similar experiences in the past
This kind of behaviour requires a representation of relationships between events we experience
We demonstrated that the hippocampus plays a critical role in this kind of situation and organises relationships in cognitive maps (Garvert et al. eLife 2017, Zheng et al. Cereb Cortex 2022)
These maps can then be used to guide generalisation in new decision-making situations (Garvert et al. Nat Neurosci 2023)
However, the ever-changing external world and our behavioral policies need to be flexibly adjusted in response to new information and unexpected outcomes if we want to maximise rewards
How does the brain do this
To answer this and similar questions, we study the neural representations and computations underlying learning and decision-making by combining behavioural experiments, human neuroimaging techniques, and computational modeling
Our primary focus lies in understanding how the brain constructs, updates, and uses models of the world to guide behaviour
To probe the neural underpinnings, we use techniques that enable us to index neural representations in the human brain (Barron, Garvert and Behrens, 2016)
In this way, we aim to understand the intricate processes that shape decision-making and shed light on the mechanisms that drive our behaviour
Our curiosity extends beyond normal cognition
We are also intrigued by how these processes can go awry in psychiatric disorders (Thomas et al. 2022)
By studying inter-individual differences in behaviour and brains, we hope to gain insights into the neural mechanisms that underlie cognition and ultimately pave the way for improved and more targeted treatments of psychiatric disorders
Join us on this journey to understand the mechanisms of decision-making and investigate how these processes can be disrupted in psychiatric disorders