Implementation of binary stochastic STDP learning using chalcogenide-based memristive devices

Autor: Mohan, Charanraj, Camuñas Mesa, Luis Alejandro, Rosa Utrera, José Manuel de la, Serrano Gotarredona, María Teresa, Linares Barranco, Bernabé

Publikováno v: idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname

The emergence of nano-scale memristive devices encouraged many different research areas to exploit their use in multiple applications. One of the proposed applications was to implement synaptic connections in bio-inspired neuromorphic systems. Large-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::37170da137fd27c0afae0850a0da9a82

Event-Driven Configurable Module with Refractory Mechanism for ConvNets on FPGA

Autor: Camuñas Mesa, Luis Alejandro, Domínguez Cordero, Yaisel L., Serrano Gotarredona, María Teresa, Linares Barranco, Bernabé

Publikováno v: idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname

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 structure. Using this module, we

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a9087c367996e9a0fccd1ac5a99f7c54

Event-Driven Stereo Visual Tracking Algorithm to Solve Object Occlusion

Autor: Camuñas Mesa, Luis Alejandro, Serrano Gotarredona, María Teresa, Ieng, Sio-Hoi, Benosman, Ryad B.

Publikováno v: idUS. Depósito de Investigación de la Universidad de Sevilla
instname
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)

Object tracking is a major problem for many computer vision applications, but it continues to be computationally expensive. The use of bio-inspired neuromorphic event-driven dynamic vision sensors (DVSs) has heralded new methods for vision processing

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0ea9bdda239f2b822aeb0afeca72ff43

An event-based classifier for Dynamic Vision Sensor and synthetic data

Autor: Stromatias, Evangelos, Soto, Miguel, Serrano Gotarredona, María Teresa, Linares Barranco, Bernabé

Publikováno v: idUS. Depósito de Investigación de la Universidad de Sevilla
instname

This paper introduces a novel methodology for training an event-driven classifier within a Spiking Neural Network (SNN) System capable of yielding good classification results when using both synthetic input data and real data captured from Dynamic Vi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=RECOLECTA___::7e945cf5c6b52265027ef9621de3a7c4

Fast Pipeline 128x128 Pixel Spiking Convolution Core for Event-Driven Vision Processing in FPGAs

Autor: Yousefzadeh, Amirreza, Serrano Gotarredona, María Teresa, Linares Barranco, Bernabé

Publikováno v: idUS. Depósito de Investigación de la Universidad de Sevilla
instname
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)

This paper describes a digital implementation of a parallel and pipelined spiking convolutional neural network (SConvNet) core for processing spikes in an event-driven system. Event-driven vision systems use typically as sensor some bioinspired spiki

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4354ace2e56f05fe8617b435353e68cf