International audienceThe steady improvement in the performance of computing systems seen for many decades is levelling off as the miniaturization of semiconducting technology approaches the atomic limit, facing severe physical and technological issues. Neuromorphic computing is an emerging solution which makes use of silicon technology in a different way, inline with the computational principles observed in animal nervous systems. In this article, we argue that the nervous systems of insects in particular offer themselves as an ideal starting point for incorporation into realistic neuromorphic systems and review research in developing insect-inspired neuromorphic systems. We conclude with an exciting yet tangible vision of a full neuromorp...
Neuromorphic systems are implementations in silicon of elements of neural systems. The idea of elect...
© Copyright 2008 IEEE – All Rights ReservedThe extraction of useful cues for object identification a...
Animal nervous systems are highly efficient in processing sensory input. The neuromorphic computing ...
International audienceThe steady improvement in the performance of computing systems seen for many d...
Vision systems that enable collision avoidance, localization and navigation in complex and uncertain...
Vision systems that enable collision avoidance, localization and navigation in complex and uncertain...
Understanding the neural mechanisms for sensing environmental information and controlling behavior i...
Copyright © 2012 Hidetoshi Ikeno et al. This is an open access article distributed under the Creativ...
Autonomous robots are expected to perform a wide range of sophisticated tasks in complex, unknown en...
With a visual system that accounts for as much as 30% of the lifted mass, flying insects such as dra...
We present details of a novel bioelectric interface formed by placing microfabricated probes into in...
Today software systems known as neural networks are at the basis of numerous artificial intelligence...
Hybrid bionic systems applied in insects and in higher level organisms have rarely been contrasted a...
Simple to complex behaviors are directed by the brain, which possess nervous cells, called neurons. ...
Autonomous flight for large aircraft appears to be within our reach. However, launching autonomous s...
Neuromorphic systems are implementations in silicon of elements of neural systems. The idea of elect...
© Copyright 2008 IEEE – All Rights ReservedThe extraction of useful cues for object identification a...
Animal nervous systems are highly efficient in processing sensory input. The neuromorphic computing ...
International audienceThe steady improvement in the performance of computing systems seen for many d...
Vision systems that enable collision avoidance, localization and navigation in complex and uncertain...
Vision systems that enable collision avoidance, localization and navigation in complex and uncertain...
Understanding the neural mechanisms for sensing environmental information and controlling behavior i...
Copyright © 2012 Hidetoshi Ikeno et al. This is an open access article distributed under the Creativ...
Autonomous robots are expected to perform a wide range of sophisticated tasks in complex, unknown en...
With a visual system that accounts for as much as 30% of the lifted mass, flying insects such as dra...
We present details of a novel bioelectric interface formed by placing microfabricated probes into in...
Today software systems known as neural networks are at the basis of numerous artificial intelligence...
Hybrid bionic systems applied in insects and in higher level organisms have rarely been contrasted a...
Simple to complex behaviors are directed by the brain, which possess nervous cells, called neurons. ...
Autonomous flight for large aircraft appears to be within our reach. However, launching autonomous s...
Neuromorphic systems are implementations in silicon of elements of neural systems. The idea of elect...
© Copyright 2008 IEEE – All Rights ReservedThe extraction of useful cues for object identification a...
Animal nervous systems are highly efficient in processing sensory input. The neuromorphic computing ...