| Spiking neural networks for computer vision M Hopkins, G Pineda-Garcia, PA Bogdan, SB Furber Interface focus 8 (4), 20180007, 2018 | 52 | 2018 |
| Neuromodulated synaptic plasticity on the SpiNNaker neuromorphic system M Mikaitis, G Pineda García, JC Knight, SB Furber Frontiers in neuroscience 12, 105, 2018 | 45 | 2018 |
| Benchmarking spike-based visual recognition: a dataset and evaluation Q Liu, G Pineda García, E Stromatias, T Serrano-Gotarredona, SB Furber Frontiers in neuroscience 10, 496, 2016 | 41 | 2016 |
| pyDVS: An extensible, real-time Dynamic Vision Sensor emulator using off-the-shelf hardware G Pineda García, P Camilleri, Q Liu, S Furber Computational Intelligence (SSCI), 2016 IEEE Symposium Series on, 1-7, 2016 | 39* | 2016 |
| Learning efficient backprojections across cortical hierarchies in real time K Max, L Kriener, G Pineda García, T Nowotny, I Jaras, W Senn, ... Nature Machine Intelligence 6 (6), 619-630, 2024 | 21 | 2024 |
| Analysis of time varying power system loads via chebyshev polynomials II Lázaro, G Pineda García, E Espinosa, S Zavala Electronics, Robotics and Automotive Mechanics Conference, 2008. CERMA'08 …, 2008 | 8 | 2008 |
| Event-based computation: Unsupervised elementary motion decomposition P Bogdan, G Pineda Garcia, S Davidson, M Hopkins, R James, S Furber University of Sussex, 2019 | 3 | 2019 |
| A prototype helping device for the visually impaired using an optical to mechanical transducer G Pineda García, J Ortiz Bejar, F Mercado Miramontes Power, Electronics and Computing (ROPEC), 2013 IEEE International Autumn …, 2013 | 3* | 2013 |
| Application of spatio-temporal data-driven and machine learning algorithms for security assessment R Segundo, Y Liu, E Barocio, P Korba, A de la Torre, AA Bugaje, ... IEEE, 2022 | 2 | 2022 |
| Learning in neural networks PA Bogdan, GP García, M Hopkins, E Jones, JC Knight, A Perrett SpiNNaker: a spiking neural network architecture, 209-265, 2020 | 2 | 2020 |
| Forecasting without context problem J Ortiz-Bejar, J Ortiz-Bejar, A Zamora-Mendez, G Pineda-García, M Graff, ... 2020 IEEE International Autumn Meeting on Power, Electronics and Computing …, 2020 | 1 | 2020 |
| Applications− Doing Stuff on the Machine PA Bogdan, R James, GF Guerra, GP García, B Sen-Bhattacharya SpiNNaker: A Spiking Neural Network Architecture, 129-162, 2020 | 1 | 2020 |
| A Visual Pipeline Using Networks of Spiking Neurons GP García PQDT-Global, 2019 | | 2019 |
| Spiking Neural Networks for Computer Vision PA Bogdan, SB Furber, G Pineda-Garcia, M Hopkins (No Title), 2018 | | 2018 |
| Qualitative simulation over two-parameter bifurcation diagrams JO Bejar, G Pineda García, JJF Romero Power, Electronics and Computing (ROPEC), 2014 IEEE International Autumn …, 2014 | | 2014 |
| Analysis of electrical networks via Chebyshev polynomials II Lázaro Castillo, G Pineda García, J Anzurez Marín CISCI 2010 - Novena Conferencia Iberoamericana en Sistemas, Cibernetica e …, 2010 | | 2010 |
| Aplicación de los Polinomios de Chebyshev al Análisis de Redes Eléctricas IIL Castillo, JA Marín, G Pineda García Conciencia Tecnológica, 11-17, 2009 | | 2009 |
| 7. Learning in Neural Networks P Bogdan, GP García, M Hopkins, E Jones, J Knight, A Perrett | | |
| Development of dynamic web sites using python and google closure G Pineda García, J Ortiz Bejar, JJ Flores Romero | | |
| Análisis de Redes Eléctricas vía Polinomios de Chebyshev II Lázaro, G Pineda García, J Anzurez | | |
Steve FurberProfessor Emeritus, Department of Computer Science, The University of Manchester, UKVerified email at manchester.ac.uk
