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BACK2FUTURE

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Back to the Future: Anticipatory synchronisation as a core mechanism for interar...

Back to the Future: Anticipatory synchronisation as a core mechanism for interarea brain communication Our brain processes multitudes of signals based on recurrent network activity involving feedforward and feedback interarea communication. To funnel information efficiently between areas, low-frequency rhythmic neural activity patt... ver más

31/12/2028

UNIVERSITEIT MAAST...

1M€

Presupuesto del proyecto: 1M€

Líder del proyecto

UNIVERSITEIT MAASTRICHT No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-11-14

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

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1 Participantes

UNIVERSITEIT MAASTRICHT

1.50M€ | Lider

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Duración del proyecto: 61 meses Fecha Inicio: 2023-11-14
Fecha Fin: 2028-12-31

Líder del proyecto

UNIVERSITEIT MAASTRICHT No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 1M€

Descripción del proyecto Our brain processes multitudes of signals based on recurrent network activity involving feedforward and feedback interarea communication. To funnel information efficiently between areas, low-frequency rhythmic neural activity patterns couple to each other. It is an unresolved question how early sensory cortex (SC) can couple efficiently to both feedforward sensory information flow and feedback information flow arriving from higher order regions such as prefrontal cortex (PFC). Since PFC and sensory input lack direct coupling and operate with their own temporal dynamics, SC decouples from the sensory input when PFC couples to SC. It is therefore not possible to achieve efficient multi-area coupling in currently proposed feedback-driven coupling schemes. In search of a mechanism to address this problem I resort to a dynamical systems process called anticipated synchronization (AS). During AS, a receiving system (PFC) sends a copy of its own activity as delayed feedback to itself, allowing this system to - paradoxically - anticipate the dynamics of the driving system (SC). During AS, information from PFC is sent back to SC arriving at the right time in the future, while SC maintains sensory coupling. My goal in the next 5 years is to provide evidence of interarea AS coupling by creating a biophysical model of AS, empirically testing its predictions using ECoG data, psychophysics and EEG. By validating the use of tACS to control coupling, I will experimentally induce AS in a new closed-loop set-up that stimulates PFC with its own delayed activity. The proposed research will settle a critical theoretical debate on temporal coordination of interarea brain communication and will provide the computational basis for the hitherto unexplained excess of local feedback loops in the brain. The findings will inform new closed-loop treatment approaches and can improve biologically-inspired artificial intelligent systems that currently disregard the exact timing of information flow.

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