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Items: 10

1.

Neuromorphic LIF Row-by-Row Multiconvolution Processor for FPGA.

Tapiador-Morales R, Linares-Barranco A, Jimenez-Fernandez A, Jimenez-Moreno G.

IEEE Trans Biomed Circuits Syst. 2019 Feb;13(1):159-169. doi: 10.1109/TBCAS.2018.2880012. Epub 2018 Nov 7.

PMID:
30418884
2.

NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps.

Aimar A, Mostafa H, Calabrese E, Rios-Navarro A, Tapiador-Morales R, Lungu IA, Milde MB, Corradi F, Linares-Barranco A, Liu SC, Delbruck T.

IEEE Trans Neural Netw Learn Syst. 2019 Mar;30(3):644-656. doi: 10.1109/TNNLS.2018.2852335. Epub 2018 Jul 26.

PMID:
30047912
3.

A Configurable Event-Driven Convolutional Node with Rate Saturation Mechanism for Modular ConvNet Systems Implementation.

Camuñas-Mesa LA, Domínguez-Cordero YL, Linares-Barranco A, Serrano-Gotarredona T, Linares-Barranco B.

Front Neurosci. 2018 Feb 20;12:63. doi: 10.3389/fnins.2018.00063. eCollection 2018.

4.

On Multiple AER Handshaking Channels Over High-Speed Bit-Serial Bidirectional LVDS Links With Flow-Control and Clock-Correction on Commercial FPGAs for Scalable Neuromorphic Systems.

Yousefzadeh A, Jablonski M, Iakymchuk T, Linares-Barranco A, Rosado A, Plana LA, Temple S, Serrano-Gotarredona T, Furber SB, Linares-Barranco B.

IEEE Trans Biomed Circuits Syst. 2017 Oct;11(5):1133-1147. doi: 10.1109/TBCAS.2017.2717341. Epub 2017 Aug 14.

PMID:
28809708
5.

A Binaural Neuromorphic Auditory Sensor for FPGA: A Spike Signal Processing Approach.

Jimenez-Fernandez A, Cerezuela-Escudero E, Miro-Amarante L, Dominguez-Moralse MJ, de Asis Gomez-Rodriguez F, Linares-Barranco A, Jimenez-Moreno G.

IEEE Trans Neural Netw Learn Syst. 2017 Apr;28(4):804-818. doi: 10.1109/TNNLS.2016.2583223. Epub 2016 Jul 27.

PMID:
27479979
6.

Neuro-inspired spike-based motion: from dynamic vision sensor to robot motor open-loop control through spike-VITE.

Perez-Peña F, Morgado-Estevez A, Linares-Barranco A, Jimenez-Fernandez A, Gomez-Rodriguez F, Jimenez-Moreno G, Lopez-Coronado J.

Sensors (Basel). 2013 Nov 20;13(11):15805-32. doi: 10.3390/s131115805.

7.

A neuro-inspired spike-based PID motor controller for multi-motor robots with low cost FPGAs.

Jimenez-Fernandez A, Jimenez-Moreno G, Linares-Barranco A, Dominguez-Morales MJ, Paz-Vicente R, Civit-Balcells A.

Sensors (Basel). 2012;12(4):3831-56. doi: 10.3390/s120403831. Epub 2012 Mar 26.

8.

Comparison between Frame-Constrained Fix-Pixel-Value and Frame-Free Spiking-Dynamic-Pixel ConvNets for Visual Processing.

Farabet C, Paz R, Pérez-Carrasco J, Zamarreño-Ramos C, Linares-Barranco A, Lecun Y, Culurciello E, Serrano-Gotarredona T, Linares-Barranco B.

Front Neurosci. 2012 Apr 10;6:32. doi: 10.3389/fnins.2012.00032. eCollection 2012.

9.

CAVIAR: a 45k neuron, 5M synapse, 12G connects/s AER hardware sensory-processing- learning-actuating system for high-speed visual object recognition and tracking.

Serrano-Gotarredona R, Oster M, Lichtsteiner P, Linares-Barranco A, Paz-Vicente R, Gomez-Rodriguez F, Camunas-Mesa L, Berner R, Rivas-Perez M, Delbruck T, Liu SC, Douglas R, Hafliger P, Jimenez-Moreno G, Civit Ballcels A, Serrano-Gotarredona T, Acosta-Jimenez AJ, Linares-Barranco B.

IEEE Trans Neural Netw. 2009 Sep;20(9):1417-38. doi: 10.1109/TNN.2009.2023653. Epub 2009 Jul 24.

10.

On algorithmic rate-coded AER generation.

Linares-Barranco A, Jimenez-Moreno G, Linares-Barranco B, Civit-Balcells A.

IEEE Trans Neural Netw. 2006 May;17(3):771-88.

PMID:
16722179

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