Electrolyte-gated transistors for enhanced performance bioelectronics
Abstract Electrolyte-gated transistors (EGTs), capable of transducing biological and
biochemical inputs into amplified electronic signals and stably operating in aqueous …
biochemical inputs into amplified electronic signals and stably operating in aqueous …
Organic electrochemical transistors
Organic electrochemical transistors (OECTs) make effective use of ion injection from an
electrolyte to modulate the bulk conductivity of an organic semiconductor channel. The …
electrolyte to modulate the bulk conductivity of an organic semiconductor channel. The …
A survey of neuromorphic computing and neural networks in hardware
Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices,
and models that contrast the pervasive von Neumann computer architecture. This …
and models that contrast the pervasive von Neumann computer architecture. This …
Conjugated polymers in bioelectronics
Conspectus The emerging field of organic bioelectronics bridges the electronic world of
organic-semiconductor-based devices with the soft, predominantly ionic world of biology …
organic-semiconductor-based devices with the soft, predominantly ionic world of biology …
Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits
The progress in the field of neural computation hinges on the use of hardware more efficient
than the conventional microprocessors. Recent works have shown that mixed-signal …
than the conventional microprocessors. Recent works have shown that mixed-signal …
Noise-assisted persistence and recovery of memory state in a memristive spiking neuromorphic network
IA Surazhevsky, VA Demin, AI Ilyasov… - Chaos, solitons & …, 2021 - Elsevier
We investigate the constructive role of an external noise signal, in the form of a low-rate
Poisson sequence of pulses supplied to all inputs of a spiking neural network, consisting in …
Poisson sequence of pulses supplied to all inputs of a spiking neural network, consisting in …
In‐materio reservoir computing in a sulfonated polyaniline network
A sulfonated polyaniline (SPAN) organic electrochemical network device (OEND) is
fabricated using a simple drop‐casting method on multiple Au electrodes for use in reservoir …
fabricated using a simple drop‐casting method on multiple Au electrodes for use in reservoir …
Necessary conditions for STDP-based pattern recognition learning in a memristive spiking neural network
VA Demin, DV Nekhaev, IA Surazhevsky, KE Nikiruy… - Neural Networks, 2021 - Elsevier
This work is aimed to study experimental and theoretical approaches for searching effective
local training rules for unsupervised pattern recognition by high-performance memristor …
local training rules for unsupervised pattern recognition by high-performance memristor …
Electrolyte-gated transistors for synaptic electronics, neuromorphic computing, and adaptable biointerfacing
Functional emulation of biological synapses using electronic devices is regarded as the first
step toward neuromorphic engineering and artificial neural networks (ANNs). Electrolyte …
step toward neuromorphic engineering and artificial neural networks (ANNs). Electrolyte …
Organic neuromorphic devices: Past, present, and future challenges
The main goal of the field of neuromorphic computing is to build machines that emulate
aspects of the brain in its ability to perform complex tasks in parallel and with great energy …
aspects of the brain in its ability to perform complex tasks in parallel and with great energy …