Raúl Luna

Overcoming the limitations of motion sensor models by considering dendritic computations

This paper introduces a motion sensor model that incorporates dendritic computations to address limitations in existing models.

Retinal waves in adaptive rewiring networks orchestrate convergence and divergence in the visual system

The paper shows retinal waves drive the formation of divergent hubs and convergence in neural networks through adaptive rewiring.

State-of-the-art image and video quality assessment with a metric based on an intrinsically nonlinear neural summation model

This paper introduces an image and video quality assessment metric based on an intrinsically nonlinear neural summation model, showing competitive performance across multiple databases.

Model-free decision making resists improved instructions and is enhanced by stimulus-response associations

The paper confirms that improved instructions enhance model-based decision making but also shows reward effects are linked to stimulus-response learning.