Buscar
Mostrando ítems 21-30 de 39
Artículo
On the design and characterization of femtoampere current-mode circuits
(Institute of Electrical and Electronics Engineers, 2003)
In this paper, we show and validate a reliable circuit design technique based on source voltage shifting for current-mode signal processing down to femtoamperes. The technique involves specific-current extractors and ...
Ponencia
Exploiting memristance for implementing spike-time-dependent-plasticity in neuromorphic nanotechnology systems
(2009)
In this paper we show that STDP can be implemented using a crossbar memristive array combined with neurons that asynchronously generate spikes of a given shape. An attenuated version of such spikes needs to be sent ...
Ponencia
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
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 ...
Ponencia
Event based vision sensing and processing
(IEEE Computer Society, 2008)
In this paper we briefly summarize the fundamental properties of spike events processing applied to artificial vision systems. This sensing and processing technology is capable of very high speed throughput, because it ...
Ponencia
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 ...
Ponencia
Fully Digital AER Convolution Chip for Vision Processing
(IEEE Computer Society, 2008)
We present a neuromorphic fully digital convolution microchip for Address Event Representation (AER) spike-based processing systems. This microchip computes 2-D convolutions with a programmable kernel in real time. It ...
Ponencia
Event-driven stereo vision with orientation filters
(IEEE Computer Society, 2014)
The recently developed Dynamic Vision Sensors (DVS) sense dynamic visual information asynchronously and code it into trains of events with sub-micro second temporal resolution. This high temporal precision makes the ...
Ponencia
A Mismatch Calibrated Bipolar Spatial Contrast AER Retina with Adjustable Contrast Threshold
(IEEE Computer Society, 2009)
Address Event Representation (AER) is an emergent technology for assembling modular multi-blocks bio-inspired sensory and processing systems. Visual sensors (retinae) are among the first AER modules to be reported since ...
Artículo
Hardware Implementation of Differential Oscillatory Neural Networks Using VO 2-Based Oscillators and Memristor-Bridge Circuits
(Frontiers Media, 2021)
Oscillatory Neural Networks (ONNs) are currently arousing interest in the research community for their potential to implement very fast, ultra-low-power computing tasks by exploiting specific emerging technologies. From ...