Results 211 to 220 of about 21,684 (244)

Training spiking neural networks

, 2023
openaire   +1 more source

Noise and Dynamical Synapses as Optimization Tools for Spiking Neural Networks. [PDF]

Entropy (Basel)
Garipova Y, Yonekura S, Kuniyoshi Y.
europepmc   +1 more source

Automated Discovery of Multicellular Behavior for Optimized Plant Growth and Climate Resilience

Advanced Intelligent Systems, EarlyView.
An automated robotic system is described for rapid scientific experimentation with multicellular organisms. By enhancing a robotic liquid handler with a custom developed deep learning algorithm and camera module, samples and data are prepared with minimal human intervention.
Mark A. DeAngelis, Philip R. LeDuc, Warren C. Ruder   +2 more
wiley   +1 more source

Three-stage hybrid spiking neural networks fine-tuning for speech enhancement. [PDF]

Front Neurosci
Abuhajar N, Wang Z, Baltes M, Yue Y, Xu L, Karanth A, Smith CD, Liu J.   +7 more
europepmc   +1 more source

Neuromorphic Photonic Processing and Memory With Spiking Resonant Tunneling Diode Neurons and Neural Networks

Advanced Intelligent Systems, EarlyView.
This work shows resonant tunneling diode‐based opto‐electronic spiking neurons enabling fast edge detection in time series, a two‐layer photonic spiking neural network for complex classification, and a depth‐tunable photonic spiking memory system. Neuromorphic computing—modeled after the functionality and efficiency of biological neural systems—offers ...
Dafydd Owen‐Newns, Joshua Robertson, Giovanni Donati, Qusay Al‐Taai, José Figueiredo, Edward Wasige, Kathy Lüdge, Bruno Romeira, Antonio Hurtado   +8 more
wiley   +1 more source

Research on target detection for autonomous driving based on ECS-spiking neural networks. [PDF]

Sci Rep
Jin M, Wang X, Guo C, Yang S.
europepmc   +1 more source

Device‐Level Implementation of Reservoir Computing With Memristors

Advanced Intelligent Systems, EarlyView.
Reservoir computing (RC) is an emerging computing scheme that employs a reservoir and a single readout layer, which can be actualized in the nanoscale with memristors. As a comprehensive overview, the principles of RC and the switching mechanisms of memristors are discussed, followed by actual demonstrations of memristor‐based RC and the remaining ...
Sunbeom Park, Hyojung Kim, Ho Won Jang
wiley   +1 more source

Signal-to-event encoding parameter selection for multiple event classification with spiking neural networks. [PDF]

Front Neurosci
Pabian M, Rzepka D, Pawlak M, Miśkowicz M, Sroka R.   +4 more
europepmc   +1 more source

Encrypted Spiking Neural Networks Based on Adaptive Differential Privacy Mechanism. [PDF]

Entropy (Basel)
Luo X, Fu Q, Liu J, Luo Y, Qin S, Ouyang X.   +5 more
europepmc   +1 more source

Brain-Inspired Architecture for Spiking Neural Networks. [PDF]

Biomimetics (Basel)
Tang F, Zhang J, Zhang C, Liu L.
europepmc   +1 more source