SubsidieMeestersCreating Knowledge
This project aims to test a new theory on experience-dependent learning by investigating how knowledge networks are built and updated across species using innovative behavioral and neuroimaging techniques.
Projectdetails
Introduction
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
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 the 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.
New Theory
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.
Methodology
I propose combining my innovative behavioral paradigm – the HexMaze – that enables investigatory access to various levels of experience, with different techniques in three species to test this theory:
- Mice: Using immediate early gene expression techniques to visualize and manipulate the brain-wide memory network with the resolution of individual neurons.
- Rats: Employing electrophysiology to measure and manipulate memory reactivations during sleep as the mechanisms to enable consolidation.
- Humans: Implementing targeted memory reactivation and magnetic resonance imaging to follow the evolution of learning over one year.
Significance
The combination of species with their respective methods enables us to observe effects as well as test for causality. The unique combination of meaningful behavior with appropriate, precise techniques would provide groundbreaking insight into how we create and update our knowledge networks and change the way we view and test memory.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 2.000.000 |
| Totale projectbegroting | € 2.000.000 |
Tijdlijn
| Startdatum | 1-6-2024 |
| Einddatum | 31-5-2029 |
| Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- STICHTING RADBOUD UNIVERSITEITpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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|---|---|---|---|---|
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Mechanisms of memory formation in cortical networks during learning of goal-directed behaviors
This project aims to map and manipulate causal connectivity in vivo between neurons during memory learning in mice using novel optical methods to understand network dynamics and memory mechanisms.
Epigenetic and transcriptional basis of memory engram plasticity
This project aims to uncover the epigenetic and transcriptional mechanisms of memory engram cells during consolidation and retrieval using advanced genomics and functional analysis techniques.
Cracking the Synaptic Memory Code
This project aims to uncover how local protein production at synapses contributes to memory encoding in the brain using advanced imaging and sequencing techniques.
Connectome cost conservation model of skill learning
This project aims to model brain connectomes before and after skill learning to predict neuroplasticity and behavioral outcomes, bridging neuropsychology and neurobiology.
Neuroprosthetic Modulation of Large-Scale Brain Networks for Treating Memory Disorders
This project aims to develop a neuromodulation framework using a neuroprosthesis to enhance learning and memory by manipulating neural oscillations in the hippocampus-prefrontal cortex circuit.