Results 11 to 20 of about 19,662,716 (202)

Neuromorphic antennal sensory system

Nature Communications
Insect antennae facilitate the nuanced detection of vibrations and deflections, and the non-contact perception of magnetic or chemical stimuli, capabilities not found in mammalian skin. Here, we report a neuromorphic antennal sensory system that emulates
Chengpeng Jiang, Honghuan Xu, Lu Yang, Jiaqi Liu, Yue Li, Kuniharu Takei, Wentao Xu   +6 more
doaj   +4 more sources

NeuroPong: the event-based camera driven embedded neuromorphic system

Neuromorphic Computing and Engineering
Neuromorphic computing is a novel style of computing that features low-power spiking neural networks (SNNs) as the main compute components. It is an event-driven computational paradigm that naturally pairs with event-based cameras and their asynchronous ...
Charles P Rizzo, Bryson Gullett, Alex M Crumley, Maxwell E Marcum, Mason R Hyman, Carter Earheart-Brown, Julia Steed, Frank Standaert, Catherine D Schuman, James S Plank   +9 more
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Towards a neuromorphic vestibular system

IEEE Transactions on Biomedical Circuits and Systems, 2014
The vestibular system plays a crucial role in the sense of balance and spatial orientation in mammals. It is a sensory system that detects both rotational and translational motion of the head, via its semicircular canals and otoliths respectively.
Corradi, F, Laschi, C, ZAMBRANO, Davide, Passetti, G, Raglianti, M, Indiveri, G, PASSETTI, Giovanni, Zambrano, D, LASCHI, Cecilia, M. Raglianti, G. Indiveri, F. Corradi   +11 more
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Neuromorphic Computing for Smart Agriculture

Agriculture
Neuromorphic computing has received more and more attention recently since it can process information and interact with the world like the human brain.
Shize Lu, Xinqing Xiao
doaj   +2 more sources

Neuromorphic artificial intelligence systems

Frontiers in Neuroscience, 2022
Modern artificial intelligence (AI) systems, based on von Neumann architecture and classical neural networks, have a number of fundamental limitations in comparison with the mammalian brain. In this article we discuss these limitations and ways to mitigate them. Next, we present an overview of currently available neuromorphic AI projects in which these
Dmitry Ivanov, Dmitry Ivanov, Aleksandr Chezhegov, Mikhail Kiselev, Mikhail Kiselev, Andrey Grunin, Denis Larionov   +6 more
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Neuromorphic motivated systems [PDF]

The 2011 International Joint Conference on Neural Networks, 2011
Although reinforcement learning has been extensively modeled, few agent models that incorporate values use biologically plausible neural networks as a uniform computational architecture. We call biologically plausible neural network architecture neuromorphic. This paper discusses some theoretical constraints on neuromorphic intrinsic value systems [3].
James C. Daly, Jacob D. Brown, Juyang Weng   +2 more
openaire   +2 more sources

Modeling Orientation Selectivity Using a Neuromorphic Multi-Chip System [PDF]

, 2006
Chicca E, Lichtsteiner P, Delbruck T, Indiveri G, Douglas RJ. Modeling Orientation Selectivity Using a Neuromorphic Multi-Chip System. Presented at the Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS).The growing interest in ...
Douglas, R. J., Indiveri, G., Chicca, Elisabetta ; https://orcid.org/, Lichtsteiner, P., Delbruck, T., P. Lichtsteiner, E. Chicca, G. Indiveri, T. Delbruck, R.J. Douglas   +9 more
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A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware. [PDF]

, 2022
Neuromorphic systems open up opportunities to enlarge the explorative space for computational research. However, it is often challenging to unite efficiency and usability.
Cramer, Benjamin, Schemmel, Johannes, Baumbach, Andreas, Pehle, Christian, Schmitt, Sebastian, Müller, Eric, Breitwieser, Oliver, Mauch, Christian, Arnold, Elias, Ebert, Falk, Leibfried, Aron, Stock, Raphael, Czierlinski, Milena, Emmel, Arne, Ilmberger, Joscha, Kaiser, Jakob, Stradmann, Yannik, Kleider, Mitja, Karasenko, Vitali, Spilger, Philipp, Weis, Johannes, Göltz, Julian, Billaudelle, Sebastian, Raphael Stock, Elias Arnold, Müller, Eric; 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany, Sebastian Schmitt, Mauch, Christian; 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany, Oliver Breitwieser, Göltz, Julian; 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany, Jakob Kaiser, Karasenko, Vitali; 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany, Breitwieser, Oliver; 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany, Kaiser, Jakob; 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany, Cramer, Benjamin; 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany, Pehle, Christian; 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany, Eric Müller, Czierlinski, Milena; 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany, Mitja Kleider, Ebert, Falk; 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany, Yannik Stradmann, Schmitt, Sebastian; 2Third Institute of Physics, University of Göttingen, Göttingen, Germany, Schemmel, Johannes; 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany, Leibfried, Aron; 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany, Sebastian Billaudelle, Emmel, Arne; 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany, Christian Mauch, Stock, Raphael; 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany, Billaudelle, Sebastian; 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany, Weis, Johannes; 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany, Spilger, Philipp; 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany, Falk Ebert, Vitali Karasenko, Milena Czierlinski, Julian Göltz, Joscha Ilmberger, Aron Leibfried, Baumbach, Andreas; 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany, Kleider, Mitja; 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany, Arne Emmel, Arnold, Elias; 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany, Benjamin Cramer, Johannes Weis, Christian Pehle, Andreas Baumbach, Stradmann, Yannik; 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany, Johannes Schemmel, Ilmberger, Joscha; 1Kirchhoff-Institute for Physics, Heidelberg University, Heidelberg, Germany, Philipp Spilger   +68 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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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
core   +1 more source