Self‐organized Criticality in Neuromorphic Nanowire Networks With Tunable and Local Dynamics

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: March 3, 2025

Abstract Self‐organized criticality (SOC) has attracted large interest as a key property for the optimization of information processing in biological neural systems. Inspired by this synergy, nanoscale self‐organizing devices are demonstrated to emulate critical dynamics due their complex nature, proving be ideal candidates hardware implementation brain‐inspired unconventional computing paradigms. However, controlling emerging and understanding its relationship with capabilities remains challenge. Here, it is shown that memristive nanowire networks (NWNs) can programmed state through appropriate electrical stimulation. Furthermore, multiterminal characterization reveals network areas establish spatial interactions endowing local dynamics. The impact such tunable versus experimentally analyzed materia nonlinear transformation (NLT) tasks, framework reservoir computing. As brain where cortical specialized certain function, performance rely on response reduced subsets outputs, which may show or not, depending specificity task. Such brain‐like behavior lead neuromorphic systems based complexity exploiting behavior.

Language: Английский

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Self-organizing neuromorphic nanowire networks as stochastic dynamical systems

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: April 13, 2025

Abstract Neuromorphic computing aims to develop hardware platforms that emulate the effectiveness of our brain. In this context, brain-inspired self-organizing memristive networks have been demonstrated as promising physical substrates for in materia computing. However, understanding connection between network dynamics and information processing capabilities these systems still represents a challenge. work, we show neuromorphic nanowire behavior can be modeled an Ornstein-Uhlenbeck process which holistically combines stimuli-dependent deterministic trajectories stochastic effects. This unified modeling framework, able describe main features including noise jumps, enables investigation quantification roles played by on system context reservoir These results pave way development paradigms exploiting same platform similar what brain does.

Language: Английский

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Emerging Spatiotemporal Dynamics in Multiterminal Neuromorphic Nanowire Networks Through Conductance Matrices and Voltage Maps

Advanced Electronic Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 13, 2024

Abstract Self‐organizing memristive nanowire (NW) networks are promising candidates for neuromorphic‐type data processing in a physical reservoir computing framework because of their collective emergent behavior, which enables spatiotemporal signal processing. However, understanding dynamics multiterminal remains challenging. Here experimental characterization NW configuration is reported, analyzing the activation and relaxation network's global local conductance, as well inherent spatial nonlinear transformation capabilities. Emergent effects analyzed i) during activation, by investigating electric field distribution across network through voltage mapping; ii) relaxation, monitoring evolution conductance matrix system. The approach also allowed activity, demonstrating impact different areas on system's information Nonlinear tasks experimentally performed driving into conductive states, importance selecting proper operating conditions efficient This work allows better capabilities, providing new insights rational design self‐organizing neuromorphic systems.

Language: Английский

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Two‐Junction Model in Different Percolation Regimes of Silver Nanowires Networks

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 19, 2024

Abstract Random networks offer fertile ground for achieving complexity and criticality, both crucial an unconventional computing paradigm inspired by biological brains' features. In this work, characterizing modeling different electrical transport regimes of self‐assemblies silver nanowires (AgNWs) are focused. As percolation plays essential role in such a scenario, broad range areal density coverage is examined. Close‐to‐percolation realizations (usually used to demonstrate neuromorphic capabilities) have high pristine resistance require activation. Until now, highly conductive over‐percolated systems (commonly electrode fabrication technology) not been thoroughly considered hardware‐based applications, even though exhibit extremely degree interconnections. Here, it shown that current densities low‐resistance AgNW induce fuse‐type process, allowing switching operation. Such electro‐fusing discriminates between weak robust NW‐to‐NW links enhances the filamentary junctions. Their reversible resistive enable paths exhibiting linear I–V Both experimentally studied proposed model comprising two types junctions can describe, through numerical simulations, overall behavior observed phenomenology. These findings reveal potential interplay functionalities transparent electrodes.

Language: Английский

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