Results 241 to 250 of about 22,264 (276)

Triboelectric nanogenerators for neural data interpretation: bridging multi-sensing interfaces with neuromorphic and deep learning paradigms. [PDF]

Front Comput Neurosci
Gan L, Yuan S, Guo M, Wang Q, Deng Z, Jia B.   +5 more
europepmc   +1 more source

Recent advances in spike-based neural coding for tactile perception. [PDF]

Microsyst Nanoeng
Zhu Z, Chen K, Lin W, Yan H, Liang L, Wang G, Song X, Zhang C, Wang Z.   +8 more
europepmc   +1 more source

Self-Rectifying Memristors for Beyond-CMOS Computing: Mechanisms, Materials, and Integration Prospects. [PDF]

Nanomicro Lett
Zhang G, Fan X, Wang Z, Li P, Zhang Z, Yu B, Gao D, Loke D, Zhong S, Wan Q, Zhang Y.   +10 more
europepmc   +1 more source

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Neuromorphic sensory systems

Current Opinion in Neurobiology, 2010
Biology provides examples of efficient machines which greatly outperform conventional technology. Designers in neuromorphic engineering aim to construct electronic systems with the same efficient style of computation. This task requires a melding of novel engineering principles with knowledge gleaned from neuroscience.
Liu, S C, Delbruck, T
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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. In this work, we propose a real-time hardware model of an artificial vestibular system, implemented using ...
Federico Corradi, Davide Zambrano, Marco Raglianti, Giovanni Passetti, Cecilia Laschi, Giacomo Indiveri   +5 more
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Neuromorphic Selective Attention Systems

Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03., 2003
Selective attention mechanisms allow sensory systems with limited processing capacity to function in real time independent of the size of the stimulus input space. They can be particularly useful in vision systems, where the amount of information provided by the sensors typically exceeds the system's processing capacity.
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Reconfigurable neuromorphic computation in biochemical systems

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
Implementing application-specific computation and control tasks within a biochemical system has been an important pursuit in synthetic biology. Most synthetic designs to date have focused on realizing systems of fixed functions using specifically engineered components, thus lacking flexibility to adapt to uncertain and dynamically-changing environments.
Chiang, Hui-Ju, Jiang, Jie-Hong, Fages, François   +2 more
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A Neuromorphic System

2007
The essential functions of neurons can be emulated electronically on silicon chips. We describe such a neuron analogue, or neuromorph, that is compact and low power, with sufficient flexibility that it could perform as a general-purpose unit in networks for controlling robots or for use as implantable neural prostheses.
David P. M. Northmore, John Moses, John G. Elias   +2 more
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FeFETs for Neuromorphic Systems

2020
Neuromorphic engineering represents one of the most promising computing paradigms for overcoming the limitations of the present-day computers in terms of energy efficiency and processing speed. While traditional neuromorphic circuits are based on complementary metal oxide semiconductor (CMOS) transistors and large capacitors, the recently emerging ...
Halid Mulaosmanovic, Thomas Mikolajick, Stefan Slesazeck   +2 more
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