Project description
Higher-order interactions in neuronal activity
Networks and graphs are key for modelling complex systems, but their focus on pairwise interactions falls short in capturing the brain’s coordinated neuronal activity. Higher-order interactions (HOIs) are vital for understanding these dynamics, yet their connection to microscale neural mechanisms remains largely unexplored. With the support of the Marie Skłodowska-Curie Actions programme, the temporalHOI project will enhance understanding of HOIs in neuronal activity through a mathematical framework. By reconstructing networks from simulated data and validating them with high-resolution recordings like Neuropixels, it will model these interactions accurately. Moreover, temporalHOI will infer HOIs from indirect sources such as calcium imaging to broaden applicability. Outcomes will include an open-source software package for the scientific community.
Objective
"Networks and graphs have been fundamental in modelling complex systems, yet their focus on pairwise interactions limits their ability to fully capture the dynamics of systems like the brain, where coordinated activity among multiple neurons is essential for functioning. Higher-order interactions (HOIs), which represent the collective interplay of groups of nodes, have become increasingly recognised as crucial for understanding both brain function and other complex systems. However, while HOIs have shown promise at the mesoscopic level, their relationship to microscale neural mechanisms remains largely unexplored.
This project aims to address this gap by introducing a mathematical framework designed to characterise the temporal dynamics of HOIs in neuronal activity. By reconstructing higher-order networks from simulated neuronal dynamics, the project will model these interactions to offer a novel perspective on how the brain processes information over time. Validation of the framework will be carried out using high-resolution neuronal recordings, such as Neuropixels data, which provide unparalleled accuracy in observing ""genuine"" higher-order interactions within neural circuits.
Given the challenges associated with direct neuronal data, we will also develop methods to infer HOIs from indirect data sources, such as calcium imaging. This approach will be fine-tuned to ensure that the inferred interactions closely align with the statistical patterns observed in Neuropixels recordings. This dual strategy enhances the robustness and generalisability of the framework, making it applicable across various data types.
By offering a comprehensive characterisation of HOIs in brain dynamics, this project will not only deepen our understanding of neural processing but also open new avenues for cross-disciplinary research. Upon completion, an open-source software package will be released, ensuring the methods and tools developed are accessible to the broader scientific community."
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Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
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(opens in new window) HORIZON-MSCA-2024-PF-01
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10138 Torino
Italy
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