Teresa Serrano-Gotarredona

"Teresa Serrano-Gotarredona"
Mean distance: (not calculated yet)
BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Gruel A, Hareb D, Grimaldi A, et al. (2023) Stakes of neuromorphic foveation: a promising future for embedded event cameras. Biological Cybernetics. 117: 389-406
Ahmadi-Farsani J, Ricci S, Hashemkhani S, et al. (2022) A CMOS-memristor hybrid system for implementing stochastic binary spike timing-dependent plasticity. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 380: 20210018
Frasser CF, Linares-Serrano P, de Los Rios ID, et al. (2022) Fully Parallel Stochastic Computing Hardware Implementation of Convolutional Neural Networks for Edge Computing Applications. Ieee Transactions On Neural Networks and Learning Systems
Patiño-Saucedo A, Rostro-González H, Serrano-Gotarredona T, et al. (2022) Liquid State Machine on SpiNNaker for Spatio-Temporal Classification Tasks. Frontiers in Neuroscience. 16: 819063
Shamsi J, Avedillo MJ, Linares-Barranco B, et al. (2021) Hardware Implementation of Differential Oscillatory Neural Networks Using VO -Based Oscillators and Memristor-Bridge Circuits. Frontiers in Neuroscience. 15: 674567
Ahmadi-Farsani J, Zuniga-Gonzalez V, Serrano-Gotarredona T, et al. (2020) Enhanced Linearity in FD-SOI CMOS Body-Input Analog Circuits – Application to Voltage-Controlled Ring Oscillators and Frequency-Based ΣΔ ADCs Ieee Transactions On Circuits and Systems I: Regular Papers. 67: 3297-3308
Patiño-Saucedo A, Rostro-Gonzalez H, Serrano-Gotarredona T, et al. (2019) Event-driven implementation of deep spiking convolutional neural networks for supervised classification using the SpiNNaker neuromorphic platform. Neural Networks : the Official Journal of the International Neural Network Society. 121: 319-328
Camuñas-Mesa LA, Linares-Barranco B, Serrano-Gotarredona T. (2019) Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations. Materials (Basel, Switzerland). 12
Nouri M, Hayati M, Serrano-Gotarredona T, et al. (2019) A Digital Neuromorphic Realization of the 2-D Wilson Neuron Model Ieee Transactions On Circuits and Systems Ii: Express Briefs. 66: 136-140
Yousefzadeh A, Serrano-Gotarredona T, Linares-Barranco B, et al. (2019) Asynchronous Spiking Neurons, the Natural Key to Exploit Temporal Sparsity Ieee Journal On Emerging and Selected Topics in Circuits and Systems. 9: 668-678
See more...