183 citations · 203 across the 12 of their papers we have counts for
12 papers
Roadmap to Neuromorphic Computing with Emerging Technologies
Adnan Mehonic, Daniele Ielmini, Kaushik Roy +50
The roadmap is organized into several thematic sections, outlining current computing challenges, discussing the neuromorphic computing approach, analyzing mature and currently util…
Spin Hall Nano-Oscillator Empirical Electrical Model for Optimal On-chip Detector Design
Rafaella Fiorelli, Mona Rajabali, Roberto Méndez-Romero +7
As nascent nonlinear oscillators, nano-constriction spin Hall nano-oscillators (SHNOs) represent a promising potential for integration into more complicated systems such as neural…
Time series segmentation for recognition of epileptiform patterns recorded via Microelectrode Arrays in vitro
Gabriel Galeote-Checa, Gabriella Panuccio, Angel Canal-Alonso +2
Epilepsy is a prevalent neurological disorder that affects approximately 1% of the global population. Around 30-40% of patients do not respond to pharmacological treatment, leading…
A Memristor-Inspired Computation for Epileptiform Signals in Spheroids
Iván Díez de los Ríos, John Wesley Ephraim, Gemma Palazzolo +3
In this paper we present a memristor-inspired computational method for obtaining a type of running spectrogram or fingerprint of epileptiform activity generated by rodent hippocamp…
A Fully Digital Relaxation-Aware Analog Programming Technique for HfOx RRAM Arrays
Hamidreza Erfanijazi, Luis A. Camuñas-Mesa, Elisa Vianello +2
For neuromorphic engineering to emulate the human brain, improving memory density with low power consumption is an indispensable but challenging goal. In this regard, emerging RRAM…
Effect of Device Mismatches in Differential Oscillatory Neural Networks
Jafar Shamsi, María José Avedillo, Bernabé Linares-Barranco +1
Analog implementation of Oscillatory Neural Networks (ONNs) has the potential to implement fast and ultra-low-power computing capabilities. One of the drawbacks of analog implement…
A CMOL-Like Memristor-CMOS Neuromorphic Chip-Core Demonstrating Stochastic Binary STDP
L. A. Camuñas-Mesa, E. Vianello, C. Reita +2
The advent of nanoscale memristors raised hopes of being able to build CMOL (CMOS/nanowire/moLecular) type ultra-dense in-memory-computing circuit architectures. In CMOL, nanoscale…
Foveal-pit inspired filtering of DVS spike response
Shriya T. P. Gupta, Pablo Linares-Serrano, Basabdatta Sen Bhattacharya +1
In this paper, we present results of processing Dynamic Vision Sensor (DVS) recordings of visual patterns with a retinal model based on foveal-pit inspired Difference of Gaussian (…
Experimental Body-input Three-stage DC offset Calibration Scheme for Memristive Crossbar
Charanraj Mohan, L. A. Camuñas-Mesa, Elisa Vianello +4
Reading several ReRAMs simultaneously in a neuromorphic circuit increases power consumption and limits scalability. Applying small inference read pulses is a vain attempt when offs…
Implementation of binary stochastic STDP learning using chalcogenide-based memristive devices
C. Mohan, L. A. Camuñas-Mesa, J. M. de la Rosa +2
The emergence of nano-scale memristive devices encouraged many different research areas to exploit their use in multiple applications. One of the proposed applications was to imple…
Fully-parallel Convolutional Neural Network Hardware
Christiam F. Frasser, Pablo Linares-Serrano, V. Canals +3
A new trans-disciplinary knowledge area, Edge Artificial Intelligence or Edge Intelligence, is beginning to receive a tremendous amount of interest from the machine learning commun…
A memristive nanoparticle/organic hybrid synapstor for neuro-inspired computing
F. Alibart, S. Pleutin, O. Bichler +4
A large effort is devoted to the research of new computing paradigms associated to innovative nanotechnologies that should complement and/or propose alternative solutions to the cl…