Antoine Grimaldi

Aix-Marseille Université | AMU · Institut des Neurosciences de la Timone (UMR 7289 INT)

Why do neurons communicate through spikes? By definition, spikes are all-or-none neural events which occur at continuous times. In other words, spikes are on one side binary, existing or not without further details, and on the other, can occur at any asynchronous time, without the need for a centralized clock. This stands in stark contrast to the a...

Why do neurons communicate through spikes? By definition, spikes are all-or-none neural events which occur at continuous times. In other words, spikes are on one side binary, existing or not without further details, and on the other can occur at any asynchronous time, without the need for a centralized clock. This stands in stark contrast to the an...

The response of a biological neuron depends on the precise timing of afferent spikes. This temporal aspect of the neuronal code is essential in understanding information processing in neurobiology and applies particularly well to the output of neuromorphic hardware such as event-based cameras. How-ever, most artificial neuronal models do not take a...

Foveation can be defined as the organic action of directing the gaze towards a visual region of interest, to acquire relevant information selectively. With the recent advent of event cameras, we believe that taking advantage of this visual neuroscience mechanism would greatly improve the efficiency of event-data processing. Indeed, applying foveati...

The response of a biological neuron depends on the precise timing of afferent spikes. This temporal aspect of the neuronal code is essential in understanding information processing in neurobiology and applies particularly well to the output of neuromorphic hardware such as event-based cameras. However, most artificial neuronal models do not take ad...

div> We propose a neuromimetic architecture able to perform always-on pattern recognition. To achieve this, we extended an existing event-based algorithm [1], which introduced novel spatio-temporal features as a Hierarchy Of Time-Surfaces (HOTS). Built from asynchronous events acquired by a neuromorphic camera, these time surfaces allow to code t...

div> We propose a neuromimetic architecture able to perform always-on pattern recognition. To achieve this, we extended an existing event-based algorithm [1], which introduced novel spatio-temporal features as a Hierarchy Of Time-Surfaces (HOTS). Built from asynchronous events acquired by a neuromorphic camera, these time surfaces allow to code t...

We propose a neuromimetic online classifier for always-on digit recognition. To achieve this, we extend an existing event-based algorithm [1] which introduced novel spatio-temporal features: time surfaces. Built from asynchronous events acquired by a neuromorphic camera, these time surfaces allow to code the local dynamics of a visual scene and cre...

We propose a neuromimetic architecture able to perform online pattern recognition. To achieve this, we extended the existing event-based algorithm from Lagorce et al. [1] which introduced novel spatio-temporal features: time-surfaces. Built from asynchronous events acquired by a neuromorphic camera, these time surfaces allow to code the local dynam...

Recherche de caractéristiques perceptuelles au sein d'un corpus de 50 gravures datant de 540 000 à 30 000 ans avant le présent

The statistics of real world images have been extensively investigated, but in virtually all cases using only low dynamic range image databases. The few studies that have considered high dynamic range (HDR) images have performed statistical analyses categorizing images as HDR according to their creation technique, and not to the actual dynamic rang...

The dynamic range of real world scenes may vary from around 10^2 to greater than 10^7, whilst the dynamic range of monitors may vary from 10^2 to 10^5. In this paper, we investigate the impact of the dynamic range ratio (DR_ratio) between the captured scene and the displayed image, upon the value of system gamma preferred by subjects (a simple glob...