B. Linares‐Barranco

Electrical and Electronic Engineering · 2009–2021

A researcher in the Science corpus: 8 papers; trusts 25 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 101 citations into it; #1,966 of 16,539 by trust here, #3,225 by citations
• Cellular and Molecular Neuroscience — 69 citations into it; #464 of 2,998 by trust here, #705 by citations
• Cognitive Neuroscience — 55 citations into it; #10,498 of 10,852 by trust here, #2,435 by citations
• Neuroscience — 15 citations into it

Whom B. Linares‐Barranco trusts overall

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

1. Kwabena A. Boahen
2. Henry Markram
3. Shih-Chii Liu
4. G. Snider
5. Robert E. Schapire
6. Judea Pearl
7. Eugenio Culurciello
8. Christoph Posch
9. Eugene M. Izhikevich
10. Guoqiang Bi

Who trusts B. Linares‐Barranco overall

1. Garrick Orchard
2. Giacomo Indiveri
3. Xavier Lagorce
4. El Mahdi El Mhamdi
5. Shih-Chii Liu
6. Christoph Posch
7. Guillermo Gallego
8. Tobi Delbruck
9. Amos Sironi
10. Michael Pfeiffer

Papers from B. Linares‐Barranco's perspective

Ordered by how strongly the researchers B. Linares‐Barranco trusts endorse each paper. Same corpus, a different order for every researcher.

1. A quantitative description of membrane current and its application to conduction and excitation in nerve
2. A biomorphic digital image sensor (IEEE J. Solid State Circuits)
3. Point-to-point connectivity between neuromorphic chips using address events
4. Simple model of spiking neurons
5. Modeling Spiking Neural Networks on SpiNNaker
6. Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. (Journal of Neurophysiology)
7. Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type
8. Impulses and Physiological States in Theoretical Models of Nerve Membrane.
9. Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs
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
• Integration of nanoscale memristor synapses in neuromorphic computing architectures (2013) — 592 citations
• 2022 roadmap on neuromorphic computing and engineering (2021) — 589 citations
• On Spike-Timing-Dependent-Plasticity, Memristive Devices, and Building a Self-Learning Visual Cortex (2011) — 524 citations