Results 41 to 50 of about 38,728 (269)
Abstract Artificial intelligence (AI) has the ability of revolutionizing our lives and society in a radical way, by enabling machine learning in the industry, business, health, transportation, and many other fields. The ability to recognize objects, faces, and speech, requires, however, exceptional computational power and time, which is ...
Ielmini, Daniele, Ambrogio, Stefano
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SVITE: A Spike-Based VITE Neuro-Inspired Robot Controller [PDF]
This paper presents an implementation of a neuro-inspired algorithm called VITE (Vector Integration To End Point) in FPGA in the spikes domain. VITE aims to generate a non-planned trajectory for reaching tasks in robots. The algorithm has been adapted
Domínguez Morales, Manuel Jesús +4 more
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Toward a neuromorphic microphone [PDF]
Neuromorphic systems are used in variety of circumstances: as parts of sensory systems, for modeling parts of neural systems and for analog signal processing. In the sensory processing domain, neuromorphic systems can be considered in three parts: pre-transduction processing, transduction itself, and post-transduction processing.
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As the emerging member of zero-dimension transition metal dichalcogenide, WSe2 quantum dots (QDs) have been applied to memristors and exhibited better resistance switching characteristics and miniaturization size.
Zhongrong Wang +15 more
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A geographically distributed bio-hybrid neural network with memristive plasticity [PDF]
Throughout evolution the brain has mastered the art of processing real-world inputs through networks of interlinked spiking neurons. Synapses have emerged as key elements that, owing to their plasticity, are merging neuron-to-neuron signalling with ...
Corna, Andrea +10 more
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A Biologically Inspired Sound Localisation System Using a Silicon Cochlea Pair
We present a biologically inspired sound localisation system for reverberant environments using the Cascade of Asymmetric Resonators with Fast-Acting Compression (CAR-FAC) cochlear model. The system exploits a CAR-FAC pair to pre-process binaural signals
Ying Xu +6 more
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The Impact of On-chip Communication on Memory Technologies for Neuromorphic Systems
Emergent nanoscale non-volatile memory technologies with high integration density offer a promising solution to overcome the scalability limitations of CMOS-based neural networks architectures, by efficiently exhibiting the key principle of neural ...
Manohar, Rajit, Moradi, Saber
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Forward Table-Based Presynaptic Event-Triggered Spike-Timing-Dependent Plasticity
Spike-timing-dependent plasticity (STDP) incurs both causal and acausal synaptic weight updates, for negative and positive time differences between pre-synaptic and post-synaptic spike events.
Augustine, Charles +8 more
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The interplay between ferromagnetism and the non-trivial topology has unveiled intriguing phases in the transport of charges and spins. For example, it is consistently observed the so-called topological Hall effect (THE) featuring a hump structure in the
Seong Won Cho +10 more
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Preparation and transport property of nano-Li4Ti5O12 anode materials
Li4Ti5O12 (LTO) anode materials are successfully prepared by sol-gel method using butyl phthalate and lithium acetate as precursors.The phase and morphology of the material were characterized by X-ray diffraction,scanning electron microscopy and ...
LIAN Tian-rou +6 more
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