Simplification of Visual Rendering in Simulated Prosthetic Vision Facilitates Navigation.

Visual neuroprostheses are still limited and simulated prosthetic vision (SPV) is used to evaluate potential and forthcoming functionality of these implants. SPV has been used to evaluate the minimum requirement on visual neuroprosthetic characteristics to restore various functions such as reading, objects and face recognition, object grasping, etc. Some of these studies focused on obstacle avoidance but only a few investigated orientation or navigation abilities with prosthetic vision.

Simulated Prosthetic Vision: The Benefits of Computer-Based Object Recognition and Localization.

Clinical trials with blind patients implanted with a visual neuroprosthesis showed that even the simplest tasks were difficult to perform with the limited vision restored with current implants. Simulated prosthetic vision (SPV) is a powerful tool to investigate the putative functions of the upcoming generations of visual neuroprostheses. Recent studies based on SPV showed that several generations of implants will be required before usable vision is restored.

Wayfinding with simulated prosthetic vision: performance comparison with regular and structure-enhanced renderings.

In this study, we used a simulation of upcoming low-resolution visual neuroprostheses to evaluate the benefit of embedded computer vision techniques in a wayfinding task. We showed that augmenting the classical phosphene rendering with the basic structure of the environment - displaying the ground plane with a different level of brightness - increased both wayfinding performance and cognitive mapping. In spite of the low resolution of current and upcoming visual implants, the improvement of these cognitive functions may already be possible with embedded artificial vision algorithms.

Simulated prosthetic vision: improving text accessibility with retinal prostheses.

Image processing can improve significantly the every-day life of blind people wearing current and upcoming retinal prostheses relying on an external camera. We propose to use a real-time text localization algorithm to improve text accessibility. An augmented text-specific rendering based on automatic text localization has been developed.

Cortical regions involved in the observation of bimanual actions.

Although we are beginning to understand how observed actions performed by conspecifics with a single hand are processed and how bimanual actions are controlled by the motor system, we know very little about the processing of observed bimanual actions. We used fMRI to compare the observation of bimanual manipulative actions with their unimanual components, relative to visual control conditions equalized for visual motion. Bimanual action observation did not activate any region specialized for processing visual signals related to this more elaborated action.

Active versus passive training of a complex bimanual task: is prescriptive proprioceptive information sufficient for inducing motor learning?

Perceptual processes play an important role in motor learning. While it is evident that visual information greatly contributes to learning new movements, much less is known about provision of prescriptive proprioceptive information. Here, we investigated whether passive (proprioceptively-based) movement training was comparable to active training for learning a new bimanual task.

Spotting animals in natural scenes: efficiency of humans and monkeys at very low contrasts.

The ability of monkeys to categorize objects in visual stimuli such as natural scenes might rely on sets of low-level visual cues without any underlying conceptual abilities. Using a go/no-go rapid animal/non-animal categorization task with briefly flashed achromatic natural scenes, we show that both human and monkey performance is very robust to large variations of stimulus luminance and contrast. When mean luminance was increased or decreased by 25-50%, accuracy and speed impairments were small.

The time-course of visual categorizations: you spot the animal faster than the bird.

Background: Since the pioneering study by Rosch and colleagues in the 70s, it is commonly agreed that basic level perceptual categories (dog, chair...

Corticospinal facilitation following prolonged proprioceptive stimulation by means of passive wrist movement.

The purpose of this study was to evaluate the delayed effects of repetitive sensory stimulation with passive wrist movement on corticospinal excitability of the forearm and hand musculature. Motor evoked potential responses to single and double pulse transcranial magnetic stimulation were recorded from the flexor carpi radialis, extensor carpi radialis, and the first dorsal interosseous muscles of the right limb. Data were collected before and after a 1 hour session of passive wrist movement (intervention group, n = 11) or after a same period of rest (control group, n = 9).

Limits of event-related potential differences in tracking object processing speed.

We report results from two experiments in which subjects had to categorize briefly presented upright or inverted natural scenes. In the first experiment, subjects decided whether images contained animals or human faces presented at different scales. Behavioral results showed virtually identical processing speed between the two categories and very limited effects of inversion.

Rapid categorization of achromatic natural scenes: how robust at very low contrasts?

The human visual system is remarkably good at categorizing objects even in challenging visual conditions. Here we specifically assessed the robustness of the visual system in the face of large contrast variations in a high-level categorization task using natural images. Human subjects performed a go/no-go animal/nonanimal categorization task with briefly flashed grey level images.

The time course of visual processing: backward masking and natural scene categorisation.

Human observers are very good at deciding whether briefly flashed novel images contain an animal and previous work has shown that the underlying visual processing can be performed in under 150 ms. Here we used a masking paradigm to determine how information accumulates over time during such high-level categorisation tasks. As the delay between test image and mask is increased, both behavioural accuracy and differential ERP amplitude rapidly increase to reach asymptotic levels around 40-60 ms.

Rapid categorization of natural scenes in monkeys: target predictability and processing speed.

Three monkeys performed a categorization task and a recognition task with briefly flashed natural images, using in alternation either a large variety of familiar target images (animal or food) or a single (totally predictable) target. The processing time was 20 ms shorter in the recognition task in which false alarms showed that monkeys relied on low-level cues (color, form, orientation, etc.).

Spatiotemporal analyses of the N170 for human faces, animal faces and objects in natural scenes.

We assessed the specificity to human faces of the N170 ERP component in the context of natural scenes. Subjects categorized photographs containing human faces, animal faces and various objects. Spatiotemporal topography analyses were performed on the individual ERP data.

Interaction of top-down and bottom-up processing in the fast visual analysis of natural scenes.

The influence of task requirements on the fast visual processing of natural scenes was studied in 14 human subjects performing in alternation an "animal" categorization task and a single-photograph recognition task. Target photographs were randomly mixed with non-target images and flashed for only 20 ms. Subjects had to respond to targets within 1 s.

Animal and human faces in natural scenes: How specific to human faces is the N170 ERP component?

The N170 is an event-related potential component reported to be very sensitive to human face stimuli. This study investigated the specificity of the N170, as well as its sensitivity to inversion and task status when subjects had to categorize either human or animal faces in the context of upright and inverted natural scenes. A conspicuous N170 was recorded for both face categories.

Is it an animal? Is it a human face? Fast processing in upright and inverted natural scenes.

Object categorization can be extremely fast. But among all objects, human faces might hold a special status that could depend on a specialized module. Visual processing could thus be faster for faces than for any other kind of object.