This article reviews a wide spectrum of state‐of‐the‐art neuromorphic systems, ranging from its principles, sensory elements, and processing aspects to large‐scale example systems and commercial outlook. It does not aim to provide a full coverage of present knowledge, but simply provide a comprehensive summary with many pointers to further readings
Today software systems known as neural networks are at the basis of numerous artificial intelligence...
Neuromorphic engineering is a rapidly developing field that aims to take inspiration from the biolog...
Flexible neuromorphic electronics that emulate biological neuronal systems constitute a promising ca...
Neuromorphic engineering attempts to understand the computational properties of neural processing sy...
Morabito FC, Andreou AG, Chicca E. Neuromorphic Engineering: From Neural Systems to Brain-Like Engin...
The 14 papers in this research topic were solicited primarily from attendees to the two most importa...
Indiveri G, Chicca E, Douglas RJ. Artificial cognitive systems: From VLSI networks of spiking neuron...
Neuromorphic engineering has just reached its 25th year as a discipline. In the first two decades ne...
Neuromorphic systems emulate the organization and function of nervous systems. They are usually comp...
Neuromorphic systems take inspiration from the principles of biological information processing to fo...
Neuromorphic systems are implementations in silicon of elements of neural systems. The idea of elect...
Since its invention the modern day computer has shown a significant improvement in its performance a...
Neuromorphic electronics, an emerging field that aims for building electronic mimics of the biologic...
Neuromorphic engineering (NE) encompasses a diverse range of approaches to information processing th...
Continuous improvements in the VLSI domain have enabled the technology to mimic the neuro biological...
Today software systems known as neural networks are at the basis of numerous artificial intelligence...
Neuromorphic engineering is a rapidly developing field that aims to take inspiration from the biolog...
Flexible neuromorphic electronics that emulate biological neuronal systems constitute a promising ca...
Neuromorphic engineering attempts to understand the computational properties of neural processing sy...
Morabito FC, Andreou AG, Chicca E. Neuromorphic Engineering: From Neural Systems to Brain-Like Engin...
The 14 papers in this research topic were solicited primarily from attendees to the two most importa...
Indiveri G, Chicca E, Douglas RJ. Artificial cognitive systems: From VLSI networks of spiking neuron...
Neuromorphic engineering has just reached its 25th year as a discipline. In the first two decades ne...
Neuromorphic systems emulate the organization and function of nervous systems. They are usually comp...
Neuromorphic systems take inspiration from the principles of biological information processing to fo...
Neuromorphic systems are implementations in silicon of elements of neural systems. The idea of elect...
Since its invention the modern day computer has shown a significant improvement in its performance a...
Neuromorphic electronics, an emerging field that aims for building electronic mimics of the biologic...
Neuromorphic engineering (NE) encompasses a diverse range of approaches to information processing th...
Continuous improvements in the VLSI domain have enabled the technology to mimic the neuro biological...
Today software systems known as neural networks are at the basis of numerous artificial intelligence...
Neuromorphic engineering is a rapidly developing field that aims to take inspiration from the biolog...
Flexible neuromorphic electronics that emulate biological neuronal systems constitute a promising ca...