Synchronization of Analog Neuron Circuits With Digital Memristive Synapses: An Hybrid Approach
An hybrid circuit mimicking neural units coupled using memristive synapses is introduced. The analog neurons provide flexibility and robustness, and the digital memristive coupling guarantees the full reconfigurability of the interconnection. The onset of a synchronized spiking behavior in two circuits mimicking the Izhikevich neuron is discussed from ...
Lamberto Carnazza +3 more
wiley +1 more source
An all integer-based spiking neural network with dynamic threshold adaptation. [PDF]
Zou C +6 more
europepmc +1 more source
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source
Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding. [PDF]
Song Y, Han L, Zhang T, Xu B.
europepmc +1 more source
Research Progress and Applications of Non‐Carrier‐Injection Electroluminescence
Non‐carrier‐injection electroluminescence (NCI‐EL) uses AC fields and displacement currents to trigger light from internal charge reservoirs, enabling minimalist emitters with remotely coupled terminals. This review maps shared mechanisms across organics, GaN, quantum dots, and TMDCs, compares planar, interdigital, single‐terminal, and coaxial designs,
Wei Huang +6 more
wiley +1 more source
Commentary: Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch. [PDF]
Plesser HE.
europepmc +1 more source
Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations
This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka +5 more
wiley +1 more source
Manipulation of neuronal activity by an artificial spiking neural network implemented on a closed-loop brain-computer interface in non-human primates. [PDF]
Mishler J +4 more
europepmc +1 more source
Material Strategies for Stimulation and Recording in Neural Biocomputing Platforms
Material strategies enabling stimulation and recording are central to neural biocomputing systems. This review examines how electronic materials govern the encoding of inputs and decoding of outputs in living neural networks. Advances in electrical, optical, and multimodal interfaces highlight emerging design principles for biocomputing platforms ...
Sehong Kang +5 more
wiley +1 more source
Dynamic Cascade Spiking Neural Network Supervisory Controller for a Nonplanar Twelve-Rotor UAV. [PDF]
Peng C, Qiao G, Ge B.
europepmc +1 more source

