:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Ortner, Thomas, Petschenig, Horst, Vasilopoulos, Athanasios, Renner, Roland, Brglez, Špela, Limbacher, Thomas, Piñero, Enrique, Barranco, Alejandro Linares, Pantazi, Angeliki, Legenstein, Robert
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Neural and Evolutionary Computing Machine Learning
Accesso online:	https://arxiv.org/abs/2405.05141
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Benchmarking Hebbian learning rules for associative memory
di: Lansner, Anders, et al.
Pubblicazione: (2023)

Spiking representation learning for associative memories
di: Ravichandran, Naresh, et al.
Pubblicazione: (2024)

Benchmarking local Hebbian learning rules for memory storage and prototype extraction
di: Lansner, Anders, et al.
Pubblicazione: (2026)

Dynamic Event-based Optical Identification and Communication
di: von Arnim, Axel, et al.
Pubblicazione: (2023)

Adversarially Robust Spiking Neural Networks Through Conversion
di: Özdenizci, Ozan, et al.
Pubblicazione: (2023)

Theories of synaptic memory consolidation and intelligent plasticity for continual learning
di: Zenke, Friedemann, et al.
Pubblicazione: (2024)

Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation
di: Baronig, Maximilian, et al.
Pubblicazione: (2024)

ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks
di: Li, Junyan, et al.
Pubblicazione: (2025)

FlowState: Sampling Rate Invariant Time Series Forecasting
di: Graf, Lars, et al.
Pubblicazione: (2025)

Mind the GAP: Glimpse-based Active Perception improves generalization and sample efficiency of visual reasoning
di: Kolner, Oleh, et al.
Pubblicazione: (2024)

Adversarially Robust Spiking Neural Networks with Sparse Connectivity
di: Schmolli, Mathias, et al.
Pubblicazione: (2025)

A Scalable Hybrid Training Approach for Recurrent Spiking Neural Networks
di: Baronig, Maximilian, et al.
Pubblicazione: (2025)

A computational approach to visual ecology with deep reinforcement learning
di: Sokoloski, Sacha, et al.
Pubblicazione: (2024)

Associative memory and dead neurons
di: Fanaskov, Vladimir, et al.
Pubblicazione: (2024)

Algorithm-hardware co-design of neuromorphic networks with dual memory pathways
di: Sun, Pengfei, et al.
Pubblicazione: (2025)

Towards spiking analog hardware implementation of a trajectory interpolation mechanism for smooth closed-loop control of a spiking robot arm
di: Casanueva-Morato, Daniel, et al.
Pubblicazione: (2025)

Semantic and episodic memories in a predictive coding model of the neocortex
di: Fontaine, Lucie, et al.
Pubblicazione: (2025)

Quantization robustness from dense representations of sparse functions in high-capacity kernel associative memory
di: Tamamori, Akira
Pubblicazione: (2026)

From Polyester Girlfriends to Blind Mice: Creating the First Pragmatics Understanding Benchmarks for Slovene
di: Brglez, Mojca, et al.
Pubblicazione: (2025)

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

"What" x "When" working memory representations using Laplace Neural Manifolds
di: Sarkar, Aakash, et al.
Pubblicazione: (2024)

A parallel evolutionary algorithm to optimize dynamic memory managers in embedded systems
di: Risco-Martín, José L., et al.
Pubblicazione: (2024)

AM-MTEEG: Multi-task EEG classification based on impulsive associative memory
di: Li, Junyan, et al.
Pubblicazione: (2024)

Thermodynamics of bidirectional associative memories
di: Barra, Adriano, et al.
Pubblicazione: (2022)

Code generation and runtime techniques for enabling data-efficient deep learning training on GPUs
di: Wu, Kun
Pubblicazione: (2024)

Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks
di: Khajehabdollahi, Sina, et al.
Pubblicazione: (2023)

High-resolution spatial memory requires grid-cell-like neural codes
di: Cotteret, Madison, et al.
Pubblicazione: (2025)

Storing overlapping associative memories on latent manifolds in low-rank spiking networks
di: Podlaski, William F., et al.
Pubblicazione: (2024)

Intrinsic Biologically Plausible Adversarial Robustness
di: Farinha, Matilde Tristany, et al.
Pubblicazione: (2023)

Test-time regression: a unifying framework for designing sequence models with associative memory
di: Wang, Ke Alexander, et al.
Pubblicazione: (2025)

Neural auto-association with optimal Bayesian learning
di: Knoblauch, Andreas
Pubblicazione: (2024)

Emergent Riemannian geometry over learning discrete computations on continuous manifolds
di: Brandon, Julian, et al.
Pubblicazione: (2025)

Emergence of hybrid computational dynamics through reinforcement learning
di: Kononov, Roman A., et al.
Pubblicazione: (2025)

How noise affects memory in linear recurrent networks
di: Guan, JingChuan, et al.
Pubblicazione: (2024)

First Demonstration of Second-order Training of Deep Neural Networks with In-memory Analog Matrix Computing
di: Zhang, Saitao, et al.
Pubblicazione: (2025)

Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps
di: Kymn, Christopher J., et al.
Pubblicazione: (2024)

Signatures of selection in Mulinia lateralis underpinning its rapid adaptation to laboratory conditions
di: Zujing Yang, et al.
Pubblicazione: (2024)

Efficient lattice field theory simulation using adaptive normalizing flow on a resistive memory-based neural differential equation solver
di: Xu, Meng, et al.
Pubblicazione: (2025)

Efficient Synaptic Delay Implementation in Digital Event-Driven AI Accelerators
di: Meijer, Roy, et al.
Pubblicazione: (2025)

Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligence
di: He, Xiang, et al.
Pubblicazione: (2025)