Project description
Understanding how we create our knowledge networks
Memories initially reside as neural representations in the hippocampus, where they interact weakly with neocortical modules. Through a process called consolidation, newly formed memories are reactivated, thereby strengthening the neocortical memory trace. Existing knowledge is then encoded in a cortical network of neurons, facilitating efficient consolidation of new information. In this context, the ERC-funded CreateKnow project seeks to test a novel theory on experience-dependent learning. This theory posits that the size and complexity of the knowledge network influence where memories are encoded and the speed of their consolidation. To investigate this, the project will apply the HexMaze behavioural paradigm in mice, using immediate early gene expression techniques, electrophysiology in rats, and targeted memory reactivation and MRI in humans.
Objective
In this project I want to unravel how we build-up and update our knowledge networks depending on the amount of previous experience we have by testing my new theory on experience dependent learning. Current theory postulates memories to be stored initially as sets of neural representations spanning the hippocampus and weakly interacting neocortical modules. The spontaneous reactivation of new memories during a consolidation phase, would lead to strengthening of the neocortical memory trace. Consequently, pre-existing knowledge is proposed to be coded in the brain as a cortical network of neurons that allows for more efficient consolidation of new information. I recently developed a new theory, proposing that the existence of previous knowledge and therefore the extent of the cortical memory network, is a gradient of experience instead of being either present or not. The size and complexity of the knowledge network would influence where in the brain memories are encoded and how fast they are consolidated. I propose combining my innovative behavioural paradigm the HexMaze - that enables investigatory access to various levels of experience, with different techniques in three species to test this theory. In mice, with immediate early gene expression techniques to visualize and manipulate the brain-wide memory network with the resolution of individual neurons. In rats, with electrophysiology to measure and manipulate memory reactivations during sleep as the mechanisms to enable consolidation. In humans, with targeted memory reactivation and magnetic resonance imaging to follow the evolution of learning over one year. The combination of species with their respective methods enables to observe effects as well as test for causality. The unique combination of meaningful behaviour with appropriate, precise techniques would provide ground-breaking insight into how we create and update our knowledge networks and change the way we view and test memory.
Programme(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Funding Scheme
HORIZON-ERC - HORIZON ERC GrantsHost institution
6525 XZ Nijmegen
Netherlands