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Dinámica neuronal entre cerebros en sistemas de inteligencia biológica y artificial
Xingjian Zhang1,2, Nguyen Phi1,2, Qin Li1,2,3
1Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Nature
|July 3, 2025
Resumen
Los investigadores exploraron la dinámica neuronal en ratones y IA durante la interacción social. Encontraron subespacios neuronales distintos, con neuronas GABAérgicas que muestran una actividad más compartida, crucial para los comportamientos sociales en ambos sistemas.
Área de la Ciencia:
- La neurociencia
- Inteligencia artificial
- Neurociencia computacional
Sus antecedentes:
- La interacción social es un ciclo dinámico de retroalimentación.
- Comprender las bases neuronales de la interacción social es crucial.
Objetivo del estudio:
- Investigar la dinámica neuronal entre cerebros en ratones y sistemas de IA.
- Identificar los mecanismos neuronales que subyacen a las interacciones sociales.
Principales métodos:
- Actividad neuronal medida en la corteza prefrontal dorsomedial de ratones que interactúan socialmente.
- Analizó la dinámica neuronal en agentes de inteligencia artificial.
- El espacio neural dividido en subespacios compartidos y únicos.
- Componentes neuronales alterados que contribuyen a la dinámica compartida.
Principales resultados:
- Identificó subespacios neuronales compartidos y únicos dentro de los individuos durante la interacción social.
- Las neuronas GABAérgicas exhibieron un subespacio neuronal compartido más grande en comparación con las neuronas glutamatérgicas.
- Las dinámicas neuronales compartidas surgieron en los agentes de IA durante la interacción social.
- La interrupción de la dinámica neuronal compartida redujo las acciones sociales en los agentes de IA.
Conclusiones:
- La dinámica neuronal compartida es una característica fundamental y generalizable de los sistemas neuronales que interactúan.
- Las dinámicas neuronales compartidas juegan un papel funcional en la conducción de interacciones sociales tanto en agentes biológicos como artificiales.
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