Giacomo Indiveri

Electrical and Electronic Engineering · 2004–2021

A researcher in the Science corpus: 12 papers; trusts 67 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 178 citations into it; #1,030 of 16,539 by trust here, #2,625 by citations
• Cognitive Neuroscience — 122 citations into it; #1,141 of 10,852 by trust here, #999 by citations
• Cellular and Molecular Neuroscience — 113 citations into it; #321 of 2,998 by trust here, #522 by citations
• Artificial Intelligence — 38 citations into it; #34,651 of 35,345 by trust here, #25,809 by citations
• Neuroscience — 36 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Statistical and Nonlinear Physics — 14 citations into it
• Molecular Biology — 9 citations into it

Whom Giacomo Indiveri trusts overall

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

1. Shih-Chii Liu
2. Henry Markram
3. Kwabena A. Boahen
4. Yann LeCun
5. Geoffrey E. Hinton
6. Tobi Delbruck
7. Rodney J. Douglas
8. Wolfgang Maass
9. L. F. Abbott
10. Daniel Neil

Who trusts Giacomo Indiveri overall

1. Ning Qiao
2. Andy Thomas
3. Saber Moradi
4. Daniele Ielmini
5. Chiara Bartolozzi
6. Fabio Stefanini
7. Shimeng Yu
8. El Mahdi El Mhamdi
9. Janardan Misra
10. Michael Pfeiffer

Papers from Giacomo Indiveri's perspective

Ordered by how strongly the researchers Giacomo Indiveri trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Neuromorphic Silicon Neuron Circuits (2011) — 1,751 citations
• A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity (2006) — 920 citations
• Synaptic Dynamics in Analog VLSI (2007) — 361 citations
• A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs) (2017) — 573 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
• Memory and Information Processing in Neuromorphic Systems (2015) — 754 citations
• Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems (2014) — 487 citations
• Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition. (2013) — 383 citations
• 2022 roadmap on neuromorphic computing and engineering (2021) — 589 citations
• A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses (2015) — 662 citations
• Linear Systems Theory (2004) — 80 citations