Results 91 to 100 of about 22,264 (276)
Resonate and Fire Neuron with Fixed Magnetic Skyrmions
In the brain, the membrane potential of many neurons oscillates in a subthreshold damped fashion and fire when excited by an input frequency that nearly equals their eigen frequency.
Chen X. +6 more
core +1 more source
Organic electrochemical transistors based on a Near‐Infrared (NIR)‐responsive polymer p(C4DPP‐T) and iodide electrolyte exhibit optically programmable negative differential transconductance. NIR illumination triggers an iodine‐mediated redox process, enabling a transition from binary to ternary conductance states within a single‐layer device.
Debdatta Panigrahi +7 more
wiley +1 more source
Neuromorphic Computing with Memcapacitors: Advancements, Challenges, and Future Directions
Modern applications demand immense data processing and computational power, yet conventional architectures, constrained by the Von Neumann bottleneck and data presentation, struggle to meet these requirements.
Nada AbuHamra +4 more
doaj +1 more source
Neuromorphic Control of Robotic Systems with Numerical Simulations
In this paper, we considered potential benefits of the neuromorphic control technique for solving specific challenges in robotic control. Developing a neuromorphic control system for a robot involves simulating the architecture and dynamics of biological
Abhaya Pal Singh, Antonio Candea Leite
doaj +1 more source
Design and Characterization of Semi-Floating-Gate Synaptic Transistor
In this work, a study on a semi-floating-gate synaptic transistor (SFGST) is performed to verify its feasibility in the more energy-efficient hardware-driven neuromorphic system. To realize short- and long-term potentiation (STP/LTP) in the SFGST, a poly-
Yongbeom Cho +6 more
doaj +1 more source
Neuromorphic Systems: Past, Present and Future [PDF]
Neuromorphic systems are implementations in silicon of elements of neural systems. The idea of electronic implementation is not new, but modern microelectronics has provided opportunities for producing systems for both sensing and neural modelling that can be mass produced straightforwardly.
openaire +3 more sources
Designing Asymmetric Memristive Behavior in Proton Mixed Conductors for Neuromorphic Applications
Protonic devices that couple ionic and electronic transport are demonstrated as bioinspired neuromorphic elements. The devices exhibit rubber‐like asymmetric memristive behavior with slow voltage‐driven conductance increase and rapid relaxation, enabling simplified read–write operation.
Nada H. A. Besisa +6 more
wiley +1 more source
Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann +8 more
wiley +1 more source
Compensated Synaptic Device for Improved Recognition Accuracy of Neuromorphic System
To improve a pattern recognition accuracy of synaptic device-based neuromorphic system, we tried to obtain symmetric conductance changes between conductance increase process (potentiation) and conductance decrease process (depression).
Chuljun Lee +3 more
doaj +1 more source
Neuro-memristive Circuits for Edge Computing: A review
The volume, veracity, variability, and velocity of data produced from the ever-increasing network of sensors connected to Internet pose challenges for power management, scalability, and sustainability of cloud computing infrastructure.
Chua, Leon O. +2 more
core +1 more source

