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Mostrando ítems 71-80 de 85
Ponencia
Live demonstration: Hardware implementation of convolutional STDP for on-line visual feature learning
(IEEE. Institute of Electrical and Electronics Engineers, 2017)
We present live demonstration of a hardware that can learn visual features on-line and in real-time during presentation of objects. Input Spikes are coming from a bio-inspired silicon retina or Dynamic Vision Sensor (DVS) ...
Ponencia
An AER Contrast Retina with On-Chip Calibration
(IEEE Computer Society, 2007)
We present a contrast retina microchip that provides its output as an AER (Address Event Representation) stream. Contrast is computed as the ratio between pixel photocurrent and a local average between neighboring pixels ...
Tesis Doctoral
Memristor Based Event Driven Neuromorphic Nano-CMOS Processor
(2021-02-19)
‘Neuromorphic engineering’ has been showing significant developments in recent days. The word ‘neuromorphic’ was first coined by Caver Mead, which is morphing biological brain on-chip [1]. The main idea is to use the ...
Ponencia
Hybrid Neural Network, An Efficient Low-Power Digital Hardware Implementation of Event-based Artificial Neural Network
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Interest in event-based vision sensors has proliferated in recent years, with innovative technology becoming more accessible to new researchers and highlighting such sensors’ potential to enable low-latency sensing at ...
Ponencia
A New Strong Inversion 5-Parameter Transistor Mismatch Model
(IEEE Computer Society, 2000)
A new 5-parameter MOS transistor mismatch model is introduced capable of predicting transistor mismatch with very high accuracy for ohmic and saturation strong inversion regions, including short channel transistors. The ...
Ponencia
Passive localization and detection of quadcopter UAVs by using Dynamic Vision Sensor
(IEEE. Institute of Electrical and Electronics Engineers, 2017)
We present a new passive and low power localization method for quadcopter UAVs (Unmanned aerial vehicles) by using dynamic vision sensors. This method works by detecting the speed of rotation of propellers that is ...
Ponencia
A Precise CMOS Mismatch Model for Analog Design from Weak to Strong Inversion
(IEEE Computer Society, 2004)
A five parameter mismatch model continuos from weak to strong inversion is presented. The model is an extension of a previously reported one valid in the strong inversion region [1]. A mismatch characterization of NMOS ...
Artículo
An Event-Driven Multi-Kernel Convolution Processor Module for Event-Driven Vision Sensors
(IEEE Computer Society, 2012)
Event-Driven vision sensing is a new way of sensing visual reality in a frame-free manner. This is, the vision sensor (camera) is not capturing a sequence of still frames, as in conventional video and computer vision ...
Artículo
Asynchronous Spiking Neurons, the Natural Key to Exploit Temporal Sparsity
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Inference of Deep Neural Networks for stream signal (Video/Audio) processing in edge devices is still challenging. Unlike the most state of the art inference engines which are efficient for static signals, our brain is ...
Ponencia
AER Synthetic Generation in Hardware for Bio-inspired Spiking Systems
(SPIE Digital Library, 2005-05)
Address Event Representation (AER) is an emergent neuromorphic interchip communication protocol that allows for real-time virtual massive connectivity between huge number neurons located on different chips. By exploiting ...