collaborators

6 papers

cs.ET2025

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…

cs.NE2025

Efficient Synaptic Delay Implementation in Digital Event-Driven AI Accelerators

Roy Meijer, Paul Detterer, Amirreza Yousefzadeh +8

Synaptic delay parameterization of neural network models have remained largely unexplored but recent literature has been showing promising results, suggesting the delay parameteriz…

eess.SP2024

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…

eess.SP2024

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…

cs.NE2024

Hardware-aware training of models with synaptic delays for digital event-driven neuromorphic processors

Alberto Patino-Saucedo, Roy Meijer, Amirreza Yousefzadeh +6

Configurable synaptic delays are a basic feature in many neuromorphic neural network hardware accelerators. However, they have been rarely used in model implementations, despite th…

cond-mat.mes-hall2024

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…