T. Serrano‐Gotarredona

Electrical and Electronic Engineering · 2009–2014

A researcher in the Science corpus: 6 papers; trusts 20 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 79 citations into it; #2,060 of 16,539 by trust here, #3,664 by citations
• Cellular and Molecular Neuroscience — 57 citations into it; #485 of 2,998 by trust here, #986 by citations
• Cognitive Neuroscience — 38 citations into it
• Neuroscience — 10 citations into it

Whom T. Serrano‐Gotarredona trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kwabena A. Boahen
2. Christoph Posch
3. G. Snider
4. Guoqiang Bi
5. Eugenio Culurciello
6. Dmitri B. Strukov
7. Shih-Chii Liu
8. Simon J. Thorpe
9. Yuriy V. Pershin
10. Timothée Masquelier

Who trusts T. Serrano‐Gotarredona overall

1. Garrick Orchard
2. Xavier Lagorce
3. Christoph Posch
4. Amos Sironi
5. Guillermo Gallego
6. Tobi Delbruck
7. Giacomo Indiveri
8. Shih-Chii Liu
9. Emre O. Neftci
10. Ryad Benosman

Papers from T. Serrano‐Gotarredona's perspective

Ordered by how strongly the researchers T. Serrano‐Gotarredona trusts endorse each paper. Same corpus, a different order for every researcher.

1. A biomorphic digital image sensor (IEEE J. Solid State Circuits)
2. A quantitative description of membrane current and its application to conduction and excitation in nerve
3. Point-to-point connectivity between neuromorphic chips using address events
4. Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs
5. Simple model of spiking neurons
6. Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. (Journal of Neurophysiology)
7. Modeling Spiking Neural Networks on SpiNNaker
8. Impulses and Physiological States in Theoretical Models of Nerve Membrane.
9. Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type
10. Synaptic Dynamics in Analog VLSI (Neural Computation)

Their papers

• Neuromorphic Silicon Neuron Circuits (2011) — 1,751 citations
• CAVIAR: A 45k Neuron, 5M Synapse, 12G Connects/s AER Hardware Sensory–Processing– Learning–Actuating System for High-Speed Visual Object Recognition and Tracking (2009) — 326 citations
• Retinomorphic Event-Based Vision Sensors: Bioinspired Cameras With Spiking Output (2014) — 428 citations
• A 128$\,\times$ 128 1.5% Contrast Sensitivity 0.9% FPN 3 µs Latency 4 mW Asynchronous Frame-Free Dynamic Vision Sensor Using Transimpedance Preamplifiers (2013) — 307 citations
• STDP and STDP variations with memristors for spiking neuromorphic learning systems (2013) — 489 citations
• On Spike-Timing-Dependent-Plasticity, Memristive Devices, and Building a Self-Learning Visual Cortex (2011) — 524 citations