Abstract Photonic synapses combine sensing and processing in a single device, so they are promising candidates to emulate visual perception of biological retina. However, photonic with wavelength selectivity, which is key property for perception, have not been developed far. Herein, organic that selectively detect UV rays process various optical stimuli presented. The use carbon nitride (C 3 N 4 ) as an UV‐responsive floating‐gate layer transistor geometry. C nanodots dominantly absorb...

Organic memristors are promising candidates for the flexible synaptic components of wearable intelligent systems. With heightened concerns environment, considerable effort has been made to develop organic transient realize eco‐friendly neural networks. However, in networks, achieving with biorealistic plasticity energy efficient learning processes is still challenging. Herein, a biodegradable and polymer‐based memristor, suitable spike‐dependent process, demonstrated. An electrochemical...

A novel concept for confining filament growth in an organic memristor is demonstrated by exploiting the functionality of crosslinkable polymers.

Abstract In this study, we propose an effective strategy for achieving the flexible one organic transistor–one memristor (1T–1R) synapse using multifunctional memristor. The dynamics of conductive nanofilament (CF) in a hydrophobic fluoropolymer medium is explored and fluoropolymer-based developed. 1T–1R can be fabricated solution process because fluorinated polymer layer produced on transistor without degradation underlying semiconductor. developed exhibits multilevel conductance with high...

Hardware neural networks with mechanical flexibility are promising next-generation computing systems for smart wearable electronics. Several studies have been conducted on flexible practical applications; however, developing complete synaptic plasticity combinatorial optimization remains challenging. In this study, the metal-ion injection density is explored as a diffusive parameter of conductive filament in organic memristors. Additionally, artificial synapse bio-realistic developed using...

We demonstrate the physical pictures of localization conductive filaments (CFs) growth in flexible electrochemical metallization (ECM) memristors through an interfacial triggering (IT) into polymer electrolyte. The IT sites (ITSs), capable controlling pathways CF growth, are formed at electrode-polymer interfaces via Ostwald ripening low temperatures (below 230 °C). injection and migration metal ions resultant found to be effectively controlled ITSs with local electric field enhancement....

Abstract Neuromorphic electronics that emulate biological synapses and nerves can provide a solution to overcome the limitation in energy efficiency of von Neumann computing systems. With increasing demands on bio‐medical applications such as healthcare monitoring neuroprosthetic devices, bio‐hybrid neuromorphic are evaluated ways process information replace Successful realization systems requires replication various synaptic properties single device, along with other characteristics...

Organic synaptic transistors (OSTs) using intrinsic polymer semiconductors are demonstrated to be suitable for neuromorphic bioelectronics. However, diketopyrrolopyrrole (DPP)‐based copolymers not applicable computing systems because the DPP film has only short‐term plasticity with short retention (<50 ms) in devices of their difficulty electrochemical doping. To expand applications toward that requires long‐term plasticity, artificial synapses extended time should developed. Herein,...

Herein, the underlying mechanisms for growth of conductive filaments (CFs) at a metal–polymer electrolyte interface through ion migration in organic electrochemical metallization (ECM) memristor are presented. It is observed that free volume voids (nanopores) polymer serves as pathways metal‐cations whereas interfacial topography between an active electrode and determines nucleation sites CFs. The kinetics CFs resultant resistive memory found to vary with molecular weight metal protrusions...

Abstract Solution‐processed organic memristors are promising ingredients to realize smart wearable electronics including neural networks. In memristors, tunable functionality of materials allows for realizing bio‐realistic neuromorphic in the view point mechanical and electrical characteristics. However, it is challenging achieve high‐density crossbar arrays due undesirable sneak currents arising from unselected cells. For inorganic systems, considerable effort has been made fabricate...

Abstract In flexible neuromorphic electronics, solution‐processed organic memristors are important elements to perform memory functions. Despite considerable development for improving performances of memristors, the devices still exhibit poor reliability and uniformity due stochastic characteristics conductive filament (CF) growth. Herein, effective concept introducing interfacial load polymer (ILP) layers that control CF growth in is demonstrated. memristor, ILP serves as an internal...

Toward the successful development of artificial intelligence, synapses based on resistive switching devices are essential ingredients to perform information processing in spiking neural networks. In processes, synaptic plasticity related history neuron activity plays a critical role during learning. devices, it is barely possible emulate both short-term and long-term due uncontrollable dynamics conductive filaments (CFs). Despite extensive effort realize such still challenging achieve...

Abstract Flexible material-based artificial vision systems are gaining increasing attention due to their potential in applications requiring operation on curved surfaces, such as autonomous vehicles, smart healthcare devices, and humanoid robot eyes. However, conventional built the von Neumann architecture encounter significant limitations energy efficiency processing speed. To overcome these challenges, optoelectronic synapses inspired by biological visual have emerged a promising...

A multifunctional vertical organic phototransistor for smart optoelectronic applications has been demonstrated by precisely engineering the current path.

Abstract Wearable neuromorphic devices have gained attention because of the growth in Internet Things and increasing demand for health monitoring. They provide meaningful information interact with external environment through physiological signal processing seamless interaction human body. The concept these originated from development flexible/stretchable electronics, which offer a solution to limitation conventional rigid devices. been developed mimic synaptic functions...

Abstract The limitations of von Neumann computing systems in terms information processing speed and energy consumption were overcome using neuromorphic devices. Among these devices, electrolyte-gated synaptic transistors (EGSTs) operated through the movement ions electrolytes are suitable devices for owing to their efficient biocompatibility. Herein, we explain basic operating principle EGSTs then classify recent studies into four main characteristics: plasticity, fast switching speed, low...