Zobrazeno 1 - 10
of 203
pro vyhledávání: '"Teresa Serrano-Gotarredona"'
Autor:
Charanraj Mohan, L. A. Camunas-Mesa, Jose M. De La Rosa, Elisa Vianello, Teresa Serrano-Gotarredona, Bernabe Linares-Barranco
Publikováno v:
IEEE Access, Vol 9, Pp 38043-38061 (2021)
Monolithic integration of silicon with nano-sized Redox-based resistive Random-Access Memory (ReRAM) devices opened the door to the creation of dense synaptic connections for bio-inspired neuromorphic circuits. One drawback of OxRAM based neuromorphi
Externí odkaz:
https://doaj.org/article/99f9d13521514817b8081333cf9d8f7b
Autor:
Alberto Patiño-Saucedo, Horacio Rostro-González, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Liquid State Machines (LSMs) are computing reservoirs composed of recurrently connected Spiking Neural Networks which have attracted research interest for their modeling capacity of biological structures and as promising pattern recognition tools sui
Externí odkaz:
https://doaj.org/article/8f541b3e28974c9ca7f53f5639e2986b
Publikováno v:
Frontiers in Neuroscience, Vol 15 (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 the architectural point of vie
Externí odkaz:
https://doaj.org/article/b5e30d4d0c44445eb0119fff16639719
Autor:
Amirreza Yousefzadeh, Evangelos Stromatias, Miguel Soto, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
In computational neuroscience, synaptic plasticity learning rules are typically studied using the full 64-bit floating point precision computers provide. However, for dedicated hardware implementations, the precision used not only penalizes directly
Externí odkaz:
https://doaj.org/article/8479b8313ba34374bf75ce4c97979f2b
Autor:
Luis A. Camuñas-Mesa, Yaisel L. Domínguez-Cordero, Alejandro Linares-Barranco, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
Convolutional Neural Networks (ConvNets) are a particular type of neural network often used for many applications like image recognition, video analysis or natural language processing. They are inspired by the human brain, following a specific organi
Externí odkaz:
https://doaj.org/article/83e5831b388e4342bbe4ec2d801aae15
Autor:
Basabdatta Sen-Bhattacharya, Teresa Serrano-Gotarredona, Lorinc Balassa, Akash Bhattacharya, Alan B. Stokes, Andrew Rowley, Indar Sugiarto, Steve Furber
Publikováno v:
Frontiers in Neuroscience, Vol 11 (2017)
We present a spiking neural network model of the thalamic Lateral Geniculate Nucleus (LGN) developed on SpiNNaker, which is a state-of-the-art digital neuromorphic hardware built with very-low-power ARM processors. The parallel, event-based data proc
Externí odkaz:
https://doaj.org/article/9341dc8dd83b45959505383f22e5caf2
Publikováno v:
Frontiers in Neuroscience, Vol 11 (2017)
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://doaj.org/article/08e8fbee7e1f4226a487db74f70f2f2d
Autor:
Qian Liu, Garibaldi Pineda García, Evangelos Stromatias, Teresa Serrano-Gotarredona, Steve B Furber
Publikováno v:
Frontiers in Neuroscience, Vol 10 (2016)
Today, increasing attention is being paid to research into spike-based neural computation both to gain a better understanding of the brain and to explore biologically-inspired computation.Within this field, the primate visual pathway and its hierarch
Externí odkaz:
https://doaj.org/article/c52e19835fec486fbc77be4aebee5e02
Publikováno v:
Materials, Vol 12, Iss 17, p 2745 (2019)
Inspired by biology, neuromorphic systems have been trying to emulate the human brain for decades, taking advantage of its massive parallelism and sparse information coding. Recently, several large-scale hardware projects have demonstrated the outsta
Externí odkaz:
https://doaj.org/article/21a65c2d223348d28e20bb6116568abf
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).