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Scientific Reports (4)
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Showing 1–6 of 6 results

Advanced filters: Author: Alexantrou Serb Clear advanced filters

Real-time encoding and compression of neuronal spikes by metal-oxide memristors

The need for intelligent compression of big data, for example in neuroscience, has sparked interest in neuromorphic data processing. Here, Gupta et al.use memristors as event integrators to encode and compress neuronal spiking activity recorded by multi-electrode arrays.

Isha Gupta
Alexantrou Serb
Themistoklis Prodromakis
ResearchOpen Access26 Sept 2016
Nature Communications

Volume: 7, P: 1-9
Multibit memory operation of metal-oxide bi-layer memristors

Spyros Stathopoulos
Ali Khiat
Themis Prodromakis
ResearchOpen Access13 Dec 2017
Scientific Reports

Volume: 7, P: 1-7
Seamlessly fused digital-analogue reconfigurable computing using memristors

Conventional analogue and digital circuits are mixed at signal level yet remain technologically separate, adding complexity and cost. This work introduces a new design paradigm where the analogue and digital worlds are seamlessly fused via memristors, enabling electronics with reconfigurability.

Alexantrou Serb
Ali Khiat
Themistoklis Prodromakis
ResearchOpen Access04 Jun 2018
Nature Communications

Volume: 9, P: 1-7
Author Correction: Memristive synapses connect brain and silicon spiking neurons

Alexantrou Serb
Andrea Corna
Themistoklis Prodromakis
Amendments and CorrectionsOpen Access09 Jun 2020
Scientific Reports

Volume: 10, P: 1
An Electrical Characterisation Methodology for Benchmarking Memristive Device Technologies

Spyros Stathopoulos
Loukas Michalas
Themis Prodromakis
ResearchOpen Access19 Dec 2019
Scientific Reports

Volume: 9, P: 1-10
Memristive synapses connect brain and silicon spiking neurons

Alexantrou Serb
Andrea Corna
Themistoklis Prodromakis
ResearchOpen Access25 Feb 2020
Scientific Reports

Volume: 10, P: 1-7