Rakesh Gnana David Jeyasingh

Electrical and Electronic Engineering · 2011–2012

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 24 citations into it; #6,323 of 16,539 by trust here, #3,735 by citations
• Cellular and Molecular Neuroscience — 15 citations into it; #1,294 of 2,998 by trust here, #487 by citations
• Cognitive Neuroscience — 11 citations into it
• Neuroscience — 7 citations into it

Whom Rakesh Gnana David Jeyasingh trusts overall

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

1. Guoqiang Bi
2. G. Snider

Who trusts Rakesh Gnana David Jeyasingh overall

1. Shimeng Yu
2. H. Philip Wong
3. Daniele Ielmini
4. Pai-Yu Chen
5. Duygu Kuzum
6. Giacomo Indiveri
7. Emre O. Neftci
8. Shankar Ganesh Ramasubramanian

Papers from Rakesh Gnana David Jeyasingh's perspective

Ordered by how strongly the researchers Rakesh Gnana David Jeyasingh trusts endorse each paper. Same corpus, a different order for every researcher.

1. A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity (IEEE Transactions on Neural Networks)
2. Filament Conduction and Reset Mechanism in NiO-Based Resistive-Switching Memory (RRAM) Devices (IEEE Transactions on Electron Devices)
3. Spike-timing-dependent learning in memristive nanodevices (2008 IEEE International Symposium on Nanoscale Architectures)
4. Evidence and solution of over-RESET problem for HfOX based resistive memory with sub-ns switching speed and high endurance (International Electron Devices Meeting)
5. The cat is out of the bag: cortical simulations with 109 neurons, 1013 synapses (Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis)
6. Atomic structure of conducting nanofilaments in TiO2 resistive switching memory. (Nature Nanotechnology)
7. An Organic Nanoparticle Transistor Behaving as a Biological Spiking Synapse
8. Mechanism for bipolar resistive switching in transition-metal oxides
9. A Phenomenological Model for the Reset Mechanism of Metal Oxide RRAM (IEEE Electron Device Letters)
10. Investigating the switching dynamics and multilevel capability of bipolar metal oxide resistive switching memory

Their papers

• Nanoelectronic programmable synapses based on phase change materials for brain-inspired computing. (2012) — 1,198 citations
• An Electronic Synapse Device Based on Metal Oxide Resistive Switching Memory for Neuromorphic Computation (2011) — 697 citations