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A neuromorphic approach to computer vision [PDF]

Communications of the ACM, 2010
Neuroscience is beginning to inspire a new generation of seeing machines.
Serre, Thomas, Poggio, Tomaso A.
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Neuromorphic Computing

Elements, 2022
In the face of increasingly large computational demands and the impending halt to Moore's law, the semiconductor industry has been forced to re-evaluate the traditional computing paradism. Central to this re-evaluation has been the novel development of neuromorphic computing - an approach that, at its core, seeks to replicate the brain in silicon ...
null Elements, Will Riherd
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Neuromorphic Computing

The Electrochemical Society Interface, 2023
Neuromorphic computing is a rapidly emerging field that seeks to emulate the computational principles of the brain using novel materials and devices. While traditional computing architectures, such as the von Neumann architecture, have experienced exponential improvements in computational power due to the continuous shrinkage of transistor technology ...
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Systematic configuration and automatic tuning of neuromorphic systems [PDF]

, 2011
In the past recent years several research groups have proposed neuromorphic Very Large Scale Integration (VLSI) devices that implement event-based sensors or biophysically realistic networks of spiking neurons.
Sheik, S., Neftci, E, Indiveri, G, Fabio Stefanini, Emre Neftci, Sheik, S, Sadique Sheik, Chicca, E, Stefanini, F., Indiveri, G., Giacomo Indiveri, Elisabetta Chicca, Chicca, Elisabetta ; https://orcid.org/, Neftci, E., Stefanini, F   +14 more
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LSB2/2022-Synthetic-neuromorphic-computing-in-living-cells: Initial Release

, 2022
Synthetic-neuromorphic-computing-in-living ...
LSB2
core   +1 more source

Nonvolatile Memories in Spiking Neural Network Architectures: Current and Emerging Trends [PDF]

, 2022
A sustainable computing scenario demands more energy-efficient processors. Neuromorphic systems mimic biological functions by employing spiking neural networks for achieving brain-like efficiency, speed, adaptability, and intelligence.
Corradi, Federico; id_orcid, M. Lakshmi Varshika, Corradi, Federico, Anup Das, Das, Anup Kumar, Lakshmi Varshika, M., Federico Corradi   +6 more
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Artificial cognitive systems: From VLSI networks of spiking neurons to neuromorphic cognition [PDF]

, 2009
Neuromorphic engineering (NE) is an emerging research field that has been attempting to identify neural types of computational principles, by implementing biophysically realistic models of neural systems in Very Large Scale Integration (VLSI) technology.
Douglas, R J, Chicca, E, Douglas, R. J., Douglas, Rodney J., Indiveri, G, Indiveri, G., Indiveri, Giacomo, Chicca, Elisabetta, Chicca, Elisabetta ; https://orcid.org/   +8 more
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LSB2/Synthetic-neuromorphic-computing-in-living-cells-_2022:

, 2022
@Synthetic neuromorphic computing in living ...
LSB2
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Emerging Opportunities for 2D Materials in Neuromorphic Computing

Nanomaterials, 2023
Recently, two-dimensional (2D) materials and their heterostructures have been recognized as the foundation for future brain-like neuromorphic computing devices.
Chenyin Feng, Wenwei Wu, Huidi Liu, Junke Wang, Houzhao Wan, Guokun Ma, Hao Wang   +6 more
doaj   +1 more source

A VLSI neuromorphic device for implementing spike-based neural networks [PDF]

, 2011
Indiveri G, Chicca E. A VLSI neuromorphic device for implementing spike-based neural networks. Presented at the Proceedings of the 21st Italian Workshop on Neural Nets (WIRN).We present a neuromorphic VLSI device which comprises hybrid analog/digital ...
Morabito, C. F., Indiveri, G., Apolloni, B., Esposito, A., Chicca, Elisabetta ; https://orcid.org/, Bassis, S.   +5 more
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