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Mostrando ítems 11-20 de 36
Ponencia
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Voltage Mode Driver for Low Power Transmission of High Speed Serial AER Links
(IEEE Computer Society, 2011)
This paper presents a voltage-mode high speed driver to transmit serial AER data in scalable multi-chip AER systems. To take advantage of the asynchronous nature of AER (Address Event Representation) streams, this ...
Ponencia
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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
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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
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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
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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
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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
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An Intrinsic Method for Fast Parameter Update on the SpiNNaker Platform
(IEEE Computer Society, 2018)
Neuromorphic Computing or Spiking (also called Event-Driven) Neural Systems are becoming of high interest as they potentially allow for lower power hardware computing platforms, where power consumption is data driven. ...
Ponencia
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ConvNets Experiments on SpiNNaker
(IEEE Computer Society, 2015)
The SpiNNaker Hardware platform allows emulating generic neural network topologies, where each neuronto- neuron connection is defined by an independent synaptic weight. Consequently, weight storage requires an ...
Tesis Doctoral
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Diseño digital para sistemas bio-inspirados neuromórficos de proceso de visión.
(2018-04-04)
Artificial Intelligence (AI) is an exciting technology that flourished in this century. One of the goals for this technology is to give learning ability to computers. Currently, machine intelligence surpasses human ...
Ponencia
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Event-Driven Configurable Module with Refractory Mechanism for ConvNets on FPGA
(IEEE Computer Society, 2018)
We have developed a fully configurable event-driven convolutional module with refractory period mechanism that can be used to implement arbitrary Convolutional Neural Networks (ConvNets) on FPGAs following a 2D array ...