Enhancing Neuromorphic Photonic Hardware Performance through Neural Architecture Search
Emilio Paolini (Scuola Superiore Sant'Anna)*; Nicola Andriolli (Dept of Information Engineering, University of Pisa); Marco Cococcioni (Dept of Information Engineering)
Stochastic Spiking in Percolating Networks of Nanoparticles enables Optimization and Classification
Sofie J Studholme (University of Canterbury)*
Emerging NeoHebbian Dynamics in Forward-Forward Learning: Implications for Neuromorphic Computing
Erik B. Terres-Escudero (University of Deusto)*; Javier Del Ser (TECNALIA); Pablo García Bringas (University of Deusto)
An Energy-Efficient Capacitive-RRAM Dually Addressable Read Memory Core
Yihan Pan (University of Edinburgh)*; Adrian Wheeldon (University of Edinburgh); Mohammed Mughal (University of Edinburgh); Shady Agwa (University of Edinburgh); Themis Prodromakis (University of Edinburgh); Alexantrou Serb (University of Edinburgh)
A Modular Graph Database Accelerator
Yihan Pan (University of Edinburgh)*; Adrian Wheeldon (University of Edinburgh); Yanjun Yang (University of Edinburgh); Khaled Humood (University of Edinburgh); Mohammed Mughal (University of Edinburgh); Grahame Reynolds (University of Edinburgh); Themis Prodromakis (University of Edinburgh); Alexantrou Serb (University of Edinburgh)
Connectomic and random representations are multifunctionally-misaligned
Jacob J Morra (Western University)*
Nanowire Neural Networks for time-series processing
Veronica Pistolesi (University of Pisa); Andrea Ceni (University of Pisa)*; Claudio Gallicchio (University of Pisa)
Convergence and scaling of Boolean-weight optimization for hardware reservoirs
Louis Andreoli (FEMTO-ST); Daniel Brunner (FEMTO-ST); Stephane Chretien (Universite Lyon 2)*; Javier Porte Parera (University of Strathclyde)
Exploring Spiking Neuron Model behaviours through the Analysis of Parameter Space
Riccardo Pignari (Politecnico di Torino)*; Vittorio Fra (Politecnico di Torino); Enrico Macii (Politecnico di Torino, Dept. of Control and Computer Engineering); Gianvito Urgese (Politecnico di Torino - DIST)
Heterogeneous SoC integrating an open-source recurrent SNN accelerator for neuromorphic edge computing on FPGA
Michelangelo Barocci (Politecnico di Torino)*; Vittorio Fra (Politecnico di Torino); Enrico Macii (Politecnico di Torino, Dept. of Control and Computer Engineering); Gianvito Urgese (Politecnico di Torino - DIST)