Neuronal Information through Neuronal Interactions

Información del proyecto

NINI

Identificador del acuerdo de subvención: 864491

DOI

10.3030/864491

Proyecto cerrado

Fecha de la firma de la CE 27 Febrero 2020

Fecha de inicio 1 Julio 2020

Fecha de finalización 30 Junio 2026

Financiado con arreglo a

• EXCELLENT SCIENCE - European Research Council (ERC)

Coste total

€ 1 999 375,00

Aportación de la UE

€ 1 999 375,00

Coordinado por

EBERHARD KARLS UNIVERSITAET TUEBINGEN
Germany

Periodic Reporting for period 3 - NINI (Neuronal Information through Neuronal Interactions)

Período documentado: 2023-07-01 hasta 2024-12-31

Resumen del contexto y de los objetivos generales del proyecto

Our thoughts and actions result from the activity of functionally specialized neurons in the brain. We have learned a lot about how individual neurons encode information about our environment, thoughts and actions. But we lack understanding of how this information comes about. How does this information results from the dense local interactions among neurons within brain regions as well as from the large-scale interactions across different brain regions? Answering this question is not only key to understanding the neural underpinnings of our thoughts and actions but also provides the basis for a mechanistic understanding of disturbances of neural information processing in the diseased brain. The key objective of this project is to address this question and to directly investigate which neuronal interactions establish information coding.

Trabajo realizado desde el comienzo del proyecto hasta el final del período abarcado por el informe y los principales resultados hasta la fecha

We employed an interdisciplinary approach that tightly integrates human and animal electrophysiology. This approach combines non-invasive measurements of neuronal population activity using magnetoencephalography (MEG) and encephalography (EEG) with intra-cortical recordings of the activity of individual neurons. On the one hand, this approach allowed us to characterize various types of neural information from low level sensory, to cognitive and motor information at the population and cellular level. On the other hand, this allowed us to identify and characterize neuronal interactions within and between brain regions. Furthermore, based on this approach we identified several relations between different types of local and large-scale neuronal interactions and the encoding of neural information. Together, our results suggest that specific local and large-scale neuronal interactions play a fundamental role for the encoding of neural information in local and large-scale brain networks.

Avances que van más allá del estado de la técnica e impacto potencial esperado (incluida la repercusión socioeconómica y las implicaciones sociales más amplias del proyecto hasta la fecha)

We developed several novel experimental and analytical approaches, based on which we expect to identify and characterize specific local and large-scale neuronal interactions that underlie neuronal information coding.