Francesca Mastrogiuseppe

Direct cortical feedforward and feedback pathways differentially shape visual responses and selectively engage looped circuits

The paper examines how feedforward and feedback pathways between mouse V1 and PM modulate visual responses, showing distinct functional roles in recurrent cortical loops.

Input-dependent directionality of interactions between cortical areas

The paper uses recurrent network models to show how input alignment with connectivity shapes directional interactions in cortical circuits, explaining shifts in signal flow directionality.

Stochastic activity in low-rank recurrent neural networks

This paper investigates how the geometry of neural activity in recurrent networks depends on connectivity structure and input dimensionality, revealing how activity subspace dimensions relate to connectivity rank and input configuration.

Evolution of neural activity in circuits bridging sensory and abstract knowledge

This study uses a circuit model to investigate how neural activity evolves during abstract knowledge acquisition and how it relates to experimental observations.

The role of population structure in computations through neural dynamics

This study shows that population structure and dynamical dimensionality complement each other in shaping neural computations, with non-random structures enabling flexible input-output mappings.