Add to ORKGActive resistor meshes, characterized by a not homogeneous anisotropic pattern of local interconnections, present node voltage responses to current impulses at the nodes that emulate efficiently signal processing functionalities of visual cortex neurons, organized into orientation maps. Experiments with artificial and natural textured images validated the approach
International audienceA fundamental challenge for the theoretical study of neuronal networks is to m...
Electrical stimulation of neural tissue is used in both clinical and experimental devices to evoke a...
Abstract — The growing interest in pulse-mode processing by neural networks is encouraging the devel...
Active resistor meshes, characterized by an inhomogeneous anisotropic pattern of local interconnecti...
Image processing in early vision involves complex computational tasks, such as convolution operation...
The resistive-fuse network is a well-known image segmen-tation processing model in which image edges...
Reproducing the dynamics of biological neural systems using mixed signal analog/digital neuromorphic...
Abstract —The architecture of an active resistive mesh con-taining both positive and negative resist...
This paper presents a neuromorphic system for visual pattern recognition realized in hardware. A new...
Abstract—Cellular Nonlinear Networks (CNN) establish a theoretical framework in which programmable f...
We describe a 25x25 pixel image sensor,which spatially filters a set of input currents supplied by a...
Neuromorphic vision systems inspired by biological systems have advantages of good power efficiency,...
The human visual system is one of the most important components of the nervous system, responsible f...
Reproducing the dynamics of biological neural systems using mixed signal analog/digital neuromorphic...
[[abstract]]This paper developes a new method for the pixel classification of an intensity image. A ...
International audienceA fundamental challenge for the theoretical study of neuronal networks is to m...
Electrical stimulation of neural tissue is used in both clinical and experimental devices to evoke a...
Abstract — The growing interest in pulse-mode processing by neural networks is encouraging the devel...
Active resistor meshes, characterized by an inhomogeneous anisotropic pattern of local interconnecti...
Image processing in early vision involves complex computational tasks, such as convolution operation...
The resistive-fuse network is a well-known image segmen-tation processing model in which image edges...
Reproducing the dynamics of biological neural systems using mixed signal analog/digital neuromorphic...
Abstract —The architecture of an active resistive mesh con-taining both positive and negative resist...
This paper presents a neuromorphic system for visual pattern recognition realized in hardware. A new...
Abstract—Cellular Nonlinear Networks (CNN) establish a theoretical framework in which programmable f...
We describe a 25x25 pixel image sensor,which spatially filters a set of input currents supplied by a...
Neuromorphic vision systems inspired by biological systems have advantages of good power efficiency,...
The human visual system is one of the most important components of the nervous system, responsible f...
Reproducing the dynamics of biological neural systems using mixed signal analog/digital neuromorphic...
[[abstract]]This paper developes a new method for the pixel classification of an intensity image. A ...
International audienceA fundamental challenge for the theoretical study of neuronal networks is to m...
Electrical stimulation of neural tissue is used in both clinical and experimental devices to evoke a...
Abstract — The growing interest in pulse-mode processing by neural networks is encouraging the devel...