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ChoiceSpace

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Task-relevant cognitive maps and their role in spatial decision-making

One of the hallmarks of our cognition is the ability to decide by thinking several steps ahead using an internal cognitive map. In the wild, map-based decisions can enable animals to select a target location based on the amount of... ver más

31/03/2029

THE HEBREW UNIVERS...

1M€

Presupuesto del proyecto: 1M€

Líder del proyecto

THE HEBREW UNIVERSITY OF JERUSALEM No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-01-31

ERC-2023-STG: ERC STARTING GRANTS Scope:Objectives

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Cerrada hace 2 años

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THE HEBREW UNIVERSITY OF JER...

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Duración del proyecto: 62 meses Fecha Inicio: 2024-01-31
Fecha Fin: 2029-03-31

Líder del proyecto

THE HEBREW UNIVERSITY OF JERUSALEM No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 1M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto One of the hallmarks of our cognition is the ability to decide by thinking several steps ahead using an internal cognitive map. In the wild, map-based decisions can enable animals to select a target location based on the amount of food available and the cost of reaching there. But how are such decisions made? For example, how does the brain evaluate a nearby location with a small amount of food versus a distal location with more food? What if the route to the distal location is steep? Such spatial decisions are unique because evaluating a location depends not only on the learned properties of the location but also on inferred properties, like distance, that are estimated from an internal map. However, where or how in the brain are these maps stored and how they enable spatial decision-making remains unknown. Here we will address this question through three specific aims. First, we will test how animals choose among reward sites located at various distances, each dispensing different reward amounts. Next, we will investigate how animals deduce the costs and benefits associated with different trajectories in an environment to make an informed decision. Finally, we will decipher how these internal cognitive maps are formed. These questions will be studied using novel behavior paradigms with rats as the animal model. As rats perform these tasks, simultaneous activity of hundreds of neurons will be recorded from multiple brain regions using novel custom-built devices. To study the internal map formation and the mechanism of map-based decision-making, the neural activity will be analyzed using state-of-the-art machine learning techniques. Finally, the causal role of the corresponding brain regions in spatial decision-making will be tested using optogenetic perturbation experiments. This multi-disciplinary approach will uncover how the brain makes map-based spatial decisions – a phenomenon that remains unexplored but yet of great importance across species.

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