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Mostrando ítems 31-40 de 80
Artículo
Event-driven implementation of deep spiking convolutional neural networks for supervised classification using the SpiNNaker neuromorphic platform
(Elsevier, 2020)
Neural networks have enabled great advances in recent times due mainly to improved parallel computing capabilities in accordance to Moore’s Law, which allowed reducing the time needed for the parameter learning of complex, ...
Ponencia
A Current Attenuator for Efficient Memristive Crossbars Read-Out
(IEEE Computer Society, 2019)
This paper presents a new current attenuator circuit to scale down the inference currents in memristor based crossbars that drive integrate-and-fire neurons, which subsequently allows to reduce the size of integrating ...
Ponencia
Spiking Hough for Shape Recognition
(Springer, 2017)
The paper implements a spiking neural model methodology inspired on the Hough Transform. On-line event-driven spikes from Dynamic Vision Sensors are evaluated to characterize and recognize the shape of Poker signs. The ...
Artículo
A memristive nanoparticle/organic hybrid synapstor for neuro-inspired computing.
(Wiley, 2011)
A large effort is devoted to the research of new computing paradigms associated with innovative nanotechnologies that should complement and/or propose alternative solutions to the classical Von Neumann/CMOS (complementary ...
Artículo
On the Design of Second Order Dynamics Reaction-Diffusion CNNs
(Springer, 1999)
In this paper, a second order reaction-diffusion equation has been identified which is able to reproduce through parameter setting a rich variety of spatio-temporal behaviors. It has been shown that these behaviors are ...
Ponencia
A General Subthreshold MOS Translinear Theorem
(IEEE Computer Society, 1999)
This paper outlines the conditions under which the translinear principle can be fully exploited for MOS transistors operating in subthreshold. Due to the exponential nature of subthreshold MOS transistors the translinear ...
Artículo
Active Perception with Dynamic Vision Sensors. Minimum Saccades with Optimum Recognition
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Vision processing with Dynamic Vision Sensors (DVS) is becoming increasingly popular. This type of bio-inspired vision sensor does not record static scenes. DVS pixel activity relies on changes in light intensity. In ...
Artículo
A 1.5 ns OFF/ON Switching-Time Voltage-Mode LVDS Driver/Receiver Pair for Asynchronous AER Bit-Serial Chip Grid Links With Up to 40 Times Event-Rate Dependent Power Savings
(IEEE Computer Society, 2013)
This paper presents a low power fast ON/OFF switchable voltage mode implementation of a driver/receiver pair intended to be used in high speed bit-serial Low Voltage Differential Signaling (LVDS) Address Event ...
Artículo
A 32 x 32 Pixel Convolution Processor Chip for Address Event Vision Sensors With 155 ns Event Latency and 20 Meps Throughput
(IEEE Computer Society, 2011)
This paper describes a convolution chip for event-driven vision sensing and processing systems. As opposed to conventional frame-constraint vision systems, in event-driven vision there is no need for frames. In frame-free ...
Ponencia
Compact Calibration Circuit for Large Neuromorphic Arrays
(IEEE Computer Society, 2008)
Low current applications, like neuromorphic circuits, where operating currents can be as low as few nano amps or less, suffer from huge transistor mismatches, resulting in around or less than 1-bit precision. Here we ...