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Mostrando ítems 1-10 de 16
Ponencia
SVITE: A Spike-Based VITE Neuro-Inspired Robot Controller
(Springer, 2013)
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 ...
Ponencia
Neuromorphic Approach Sensitivity Cell Modeling and FPGA Implementation
(Springer, 2017)
Neuromorphic engineering takes inspiration from biology to solve engineering problems using the organizing principles of biological neural computation. This field has demonstrated success in sensor based applications ...
Artículo
Retinomorphic Event-Based Vision Sensors: Bioinspired Cameras With Spiking Output
(IEEE Computer Society, 2014)
State-of-the-art image sensors suffer from significant limitations imposed by their very principle of operation. These sensors acquire the visual information as a series of “snapshot” images, recorded at discrete points ...
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
Sound Recognition System Using Spiking and MLP Neural Networks
(Springer, 2016)
In this paper, we explore the capabilities of a sound classification system that combines a Neuromorphic Auditory System for feature extraction and an artificial neural network for classification. Two models of neural ...
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
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 20Mevps/32Mev event-based USB framework for neuromorphic systems debugging
(IEEE Computer Society, 2016)
Neuromorphic systems are engineering solutions that take inspiration from biological neural systems. They use spike-or event-based representation and codification of the information. This codification allows performing ...
Artículo
An Instant-Startup Jitter-Tolerant Manchester- Encoding Serializer/Deserializer Scheme for Event-Driven Bit-Serial LVDS Interchip AER Links
(IEEE Computer Society, 2011)
This paper presents a serializer/deserializer scheme for asynchronous address event representation (AER) bit-serial interchip communications. Each serial AER (sAER) link uses four wires: a micro strip pair for low voltage ...