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Thalamic circuit diversity for active visual processing

Project description

Understanding how thalamic circuit diversity serves visual processing

Conscious image perception relies on the dorsolateral geniculate nucleus (dLGN) of the thalamus, which processes signals from the retina and influences vision. Many mechanisms in the dLGN remain poorly understood. The ERC-funded ActiVisTha project aims to investigate the role of thalamic circuit diversity in visual processing and its modulation using advanced technologies in a mouse model. It will examine how diverse retinal inputs are transformed into varied thalamocortical visual features, and the impact of local interneurons on thalamocortical outputs. Additionally, it will explore how extraretinal inputs influence visual processing during active behaviour. Key outcomes are expected to include retino-thalamic transformation matrices, a model of local inhibition mechanisms, and a spatial and causality model for different extraretinal inputs.

Objective

Conscious image perception depends on the dorsolateral geniculate nucleus (dLGN) of the thalamus. The dLGN receives signals from the retina and sends its outputs to the primary visual cortex. Already at this first central stage, the brain actively modulates vision by attention and arousal. Yet, the circuit mechanisms for processing and actively modulating visual information in the dLGN are largely not known. Cells and circuits in the dLGN show diverse specializations, which can only partially be explained by known parallel streams of information. I here propose to explore the role of thalamic circuit diversity for visual processing and its active modulation, using cutting-edge technologies at multiple scales, from synapses to long-range connections, that will dissect and interrogate thalamic circuits at unprecedented resolution in the mouse model. I propose novel approaches that will advance beyond the current state of the art.

First, we investigate how retinal input diversity functionally transforms into thalamocortical visual feature diversity. Second, we study how diverse modes of inhibition by local interneurons – powerful key players with supposedly multifaceted roles – contribute to the diversity of thalamocortical outputs. Third, we explore how diverse extraretinal inputs influence visual processing and interact during active behavior. Key outcomes will be: (1) the retino-thalamic transformation matrices, (2) a multi-mechanistic model of local inhibition, (3) a spatial map and causality model of different extraretinal inputs. These approaches will provide missing links between input and output diversity that can redefine the role of thalamus.

Beyond approaching the question how cognition is implemented, ActiVisTha will have translational and technological impact: understanding the circuits for early visual processing and its active modulation will promote the development of advanced visual prostheses for the blind as well as machine learning technologies.

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Call for proposal

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(opens in new window) ERC-2025-STG

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Host institution

AARHUS UNIVERSITET
Net EU contribution

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.

€ 1 503 179,00
Address
NORDRE RINGGADE 1
8000 Aarhus C
Denmark

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Region
Danmark Midtjylland Østjylland
Activity type
Higher or Secondary Education Establishments
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Total cost

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.

€ 1 503 179,00

Beneficiaries (1)

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