Objective
Brain-computer interfaces (BCIs) can revolutionize society by restoring lost function and augmenting human capabilities. Next-generation BCIs must record large neuron populations at single-cell and cell-type resolution to speak the natural language of the brain. This requires substantial advances in large-scale low-noise readout electronics while addressing power, area, and data transmission bottlenecks. LOOK will develop radically new low-power and low-area “nearly lossless” compressive readout chips for massively parallel single-cell BCIs. I will tackle a fundamental challenge when compressing noisy signals: lossless compression provides insufficient data reduction; lossy compression achieves higher data reduction but misses low amplitude events. Inspired by the retina, LOOK will combine lossy and lossless compressive readouts with “attention” mechanisms to achieve high compression ratio and accuracy at the same time. Unlike conventional compression that exploits inherent redundancy and structure within the data, LOOK will use prior knowledge of neural signaling to dynamically determine which parts of the signal are most important and, therefore, selectively apply lossless compression to only those subsets while aggressively compressing the rest. To develop this technology, I will adopt a circuit-algorithm co-design approach, where the development of compression and attention algorithms will be tightly integrated with the design of low-power recording chips. This approach will be validated with human pre-recorded neural data and ex vivo neural recording experiments to show its applicability to current speech BCIs and future natural resolution interfaces. LOOK will surpass traditional accuracy/power trade-offs in compressive readouts to enable massively parallel, single-cell resolution BCIs. The ground-breaking nature of this project will also impact other applications where power-constrained autonomous multi-sensor arrays record noisy, sparse signals.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
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.
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.
Funding Scheme
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.
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-ERC - HORIZON ERC Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2025-COG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
2628 CN Delft
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.