Eye to Action
Financiado
Tracing Visual Computations from the Retina to Behavior
Every second, millions of bits of information enter our eyes. How does the brain identify task-relevant information from this gigantic input stream? This key challenge of the visual system is tackled by substantially processing th...
Every second, millions of bits of information enter our eyes. How does the brain identify task-relevant information from this gigantic input stream? This key challenge of the visual system is tackled by substantially processing the sensory input for behavioral relevance. Already in the retina, the front-end of the visual system, neuronal circuits extract multiple features from the environment and form up to 40 channels to the brain. So far, however, one of the basic principles underlying vision, namely how the brain processes these multiple channels from the eye, remains fundamentally unclear.
In this proposal, I will focus on the superior colliculus, an evolutionary conserved retino-recipient brain area critically involved in visuomotor transformations, and solve the following problem: How do neuronal circuits in mouse superior colliculus integrate retinal signals to drive behavior? I will implement an interdisciplinary approach that combines population imaging of neuronal activity in behaving mice with optogenetic manipulations, deep neural network modeling, and quantitative behavioral analysis. By modeling a defined brain area all the way from the retinal input to its role in behavior in an ecological setting, I will mechanistically dissect the behavioral relevance of retinal circuits.
My work will uncover general principles of how diverse retinal channels are represented in downstream targets, identify elemental convergence rules of feedforward retinal signals in postsynaptic neurons, and causally link retinal function to distinct behaviors. If successful, my proposal will reveal fundamental neuronal and computational mechanisms used by the visual system to convert a complex visual input into action. My approach can be adapted to other sensory modalities, guiding the design of innovative experiments and analyses. The identified mechanisms of efficient information processing will also contribute to the development of robust neuro-inspired artificial intelligence.
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Duración del proyecto: 72 meses
Fecha Inicio: 2023-12-20
Fecha Fin: 2029-12-31
Fecha Fin: 2029-12-31
Línea de financiación: concedida
El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-12-20
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
ERC-2023-STG:
ERC STARTING GRANTS
Cerrada
hace 2 años
Presupuesto
El presupuesto total del proyecto asciende a
2M€
Líder del proyecto
EBERHARD KARLS UNIVERSITAET TUEBINGEN
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5