Marcelo Bertalmı́o

This paper introduces a neural circuit model for motion direction estimation using direction-selective cells, showing it outperforms deep neural networks in predicting diverse visual motion data.

This paper proposes a neural model for V1 that incorporates dendritic nonlinearities and back-propagating action potentials to better explain neural responses and physiological phenomena.

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

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