Benoit R. Cottereau

This study examines how aging affects multiple object tracking under normal and altered visual conditions, finding a continuous decline in performance and shifts in oculomotor strategies with age.

The paper uses fMRI in macaque monkeys to show that visual and vestibular inputs during egomotion activate distinct cortical networks with specific convergence sites.

This paper introduces a deep recurrent neural network to model auditory neural responses, showing it outperforms previous methods and reveals longer memory in auditory neurons.

This study uses fMRI to examine motion processing in maculopathy patients and finds no significant large-scale cortical reorganization in motion-selective networks compared to controls.

The paper introduces a model called AdapTrans that unifies ON and OFF auditory neural responses and improves prediction accuracy in rat and ferret auditory brain models.

This study examines age-related differences in gaze patterns and EEG activity in scene-selective brain regions during spatial navigation tasks involving vertical object positioning.

The paper explains sub-optimality in early visual cortex receptive fields through biologically plausible plasticity mechanisms, showing better alignment with biological data than global optimisation models.

This study re-examines symmetry processing in macaques using fMRI, finding cortical responses comparable to humans, suggesting macaques as a relevant model for studying symmetry at the microscopic level.

This study investigates how antero-posterior and lateral vestibular inputs are processed in human visual cortex using fMRI and GVS, finding distinct activation patterns in specific brain regions.

This study identifies three cortical areas in awake macaques that show sensitivity to cyclopean stereomotion using fMRI, consistent with human findings.

The paper investigates how human visual cortex processes relative motion and disparity cues for image segmentation, finding retinotopic organization and attentional modulation in early visual areas and candidate regions for cue integration.

This study shows that higher refresh rates (360Hz) lead to stronger EEG responses to motion patterns compared to lower rates (60Hz), suggesting the visual cortex uses fine temporal information for better perception.

This paper shows how Hebbian learning can generate binocular disparity-selective receptive fields in a model of early visual cortex.