Copertina

Exploring Gain-Doped-Waveguide-Synapse for Neuromorphic Applications: A Pulsed Pump-Signal Approach

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Otupiri, Robert, Stabile, Ripalta
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Optics Neural and Evolutionary Computing B.3; B.7; I.2; I.5; J.2
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Associative memory inspires improvements for in-context learning using a novel attention residual stream architecture
di: Burns, Thomas F, et al.
Pubblicazione: (2024)

Neuromorphic Online Clustering and Its Application to Spike Sorting
di: Smith, James E.
Pubblicazione: (2025)

Toward Thermodynamic Reservoir Computing: Exploring SHA-256 ASICs as Potential Physical Substrates
di: de Lafuente, Francisco Angulo, et al.
Pubblicazione: (2026)

Multiple Time Series Fusion Based on LSTM An Application to CAP A Phase Classification Using EEG
di: Mendonça, Fábio, et al.
Pubblicazione: (2021)

EdgeSpike: Spiking Neural Networks for Low-Power Autonomous Sensing in Edge IoT Architectures
di: Lundstrom-Imanov, Gustav Olaf Yunus Laitinen-Fredriksson, et al.
Pubblicazione: (2026)

Multi-objective Genetic Programming with Multi-view Multi-level Feature for Enhanced Protein Secondary Structure Prediction
di: Qian, Yining, et al.
Pubblicazione: (2026)

Unsupervised Particle Tracking with Neuromorphic Computing
di: Coradin, Emanuele, et al.
Pubblicazione: (2025)

Multiplier-free In-Memory Vector-Matrix Multiplication Using Distributed Arithmetic
di: Zeller, Felix, et al.
Pubblicazione: (2025)

Neural Attention: A Novel Mechanism for Enhanced Expressive Power in Transformer Models
di: DiGiugno, Andrew, et al.
Pubblicazione: (2025)

Minimal Neuron Circuits -- Part I: Resonators
di: Nabil, Amr, et al.
Pubblicazione: (2025)

Minimal Neuron Circuits: Bursters
di: Nabil, Amr, et al.
Pubblicazione: (2025)

BMR and BWR: Two simple metaphor-free optimization algorithms for solving real-life non-convex constrained and unconstrained problems
di: Rao, Ravipudi Venkata, et al.
Pubblicazione: (2024)

Cognitive Modelling Aspects of Neurodevelopmental Disorders Using Standard and Oscillating Neighbourhood SOM Neural Networks
di: Revithis, Spyridon, et al.
Pubblicazione: (2025)

Neuromorphic Deployment of Spiking Neural Networks for Cognitive Load Classification in Air Traffic Control
di: An, Jiahui, et al.
Pubblicazione: (2025)

Interactive LLM-assisted Curriculum Learning for Multi-Task Evolutionary Policy Search
di: Sakallioglu, Berfin, et al.
Pubblicazione: (2026)

Spiking Neural Network Architecture Search: A Survey
di: Svoboda, Kama, et al.
Pubblicazione: (2025)

Protein pathways as a catalyst to directed evolution of the topology of artificial neural networks
di: Lao, Oscar, et al.
Pubblicazione: (2024)

PC-SNN: Predictive Coding-based Local Hebbian Plasticity Learning in Spiking Neural Networks
di: Wang, Haidong, et al.
Pubblicazione: (2022)

A Novel Hybrid Grey Wolf Differential Evolution Algorithm
di: Bougas, Ioannis D., et al.
Pubblicazione: (2025)

The Hidden Linear Structure in Score-Based Models and its Application
di: Wang, Binxu, et al.
Pubblicazione: (2023)

Neuromorphic Parameter Estimation for Power Converter Health Monitoring Using Spiking Neural Networks
di: Baik, Hyeongmeen, et al.
Pubblicazione: (2026)

Semantically-correlated memories in a dense associative model
di: Burns, Thomas F
Pubblicazione: (2024)

Enhanced Protein Intrinsic Disorder Prediction Through Dual-View Multiscale Features and Multi-objective Evolutionary Algorithm
di: Wang, Shaokuan, et al.
Pubblicazione: (2026)

Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications
di: Chauhan, Dikshit, et al.
Pubblicazione: (2025)

Deep Convolutional Autoencoder for Assessment of Drive-Cycle Anomalies in Connected Vehicle Sensor Data
di: Geglio, Anthony, et al.
Pubblicazione: (2022)

Symbolic Neural Generation with Applications to Lead Discovery in Drug Design
di: Srinivasan, Ashwin, et al.
Pubblicazione: (2025)

Measuring Robustness of Speech Recognition from MEG Signals Under Distribution Shift
di: Chien, Sheng-You, et al.
Pubblicazione: (2026)

CodeEvolve: an open source evolutionary coding agent for algorithmic discovery and optimization
di: Assumpção, Henrique, et al.
Pubblicazione: (2025)

Tensor Logic: The Language of AI
di: Domingos, Pedro
Pubblicazione: (2025)

Associative Memory using Attribute-Specific Neuron Groups-1: Learning between Multiple Cue Balls
di: Inazawa, Hiroshi
Pubblicazione: (2025)

Associative Memory using Attribute-Specific Neuron Groups-2: Learning and Sequential Associative Recall between Cue Neurons for different Cue Balls
di: Inazawa, Hiroshi
Pubblicazione: (2026)

Improving Fuzzy Rule Classifier with Brain Storm Optimization and Rule Modification
di: Huang, Yan, et al.
Pubblicazione: (2024)

A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection
di: Basterrech, Sebastián, et al.
Pubblicazione: (2024)

REMoH: A Reflective Evolution of Multi-objective Heuristics approach via Large Language Models
di: Forniés-Tabuenca, Diego, et al.
Pubblicazione: (2025)

Vector Symbolic Architectures answer Jackendoff's challenges for cognitive neuroscience
di: Gayler, Ross W.
Pubblicazione: (2004)

PathBench-MIL: A Comprehensive AutoML and Benchmarking Framework for Multiple Instance Learning in Histopathology
di: Brussee, Siemen, et al.
Pubblicazione: (2025)

Evolving to the Aesthetics of a Vision-Language Model
di: Krol, Stephen James, et al.
Pubblicazione: (2026)

Simulation of Neural Responses to Classical Music Using Organoid Intelligence Methods
di: Szelogowski, Daniel
Pubblicazione: (2024)

Expanding continual few-shot learning benchmarks to include recognition of specific instances
di: Kowadlo, Gideon, et al.
Pubblicazione: (2022)

Evolutionary Algorithms Approach For Search Based On Semantic Document Similarity
di: Muniyappa, Chandrashekar, et al.
Pubblicazione: (2025)