Copertina

R-FORCE: Robust Learning for Random Recurrent Neural Networks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zheng, Yang, Shlizerman, Eli
Natura:	Preprint
Pubblicazione:	2020
Soggetti:	Machine Learning Neural and Evolutionary Computing Neurons and Cognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Expressivity of Neural Networks with Random Weights and Learned Biases
di: Williams, Ezekiel, et al.
Pubblicazione: (2024)

Dynamics and Representation Structure of Local Approximations to Gradient-Based Learning in Linear Recurrent Neural Networks
di: Williams, Ezekiel, et al.
Pubblicazione: (2026)

Meta-Learning Strategies through Value Maximization in Neural Networks
di: Carrasco-Davis, Rodrigo, et al.
Pubblicazione: (2023)

Growing a Neural Network in Breadth, Depth, and Time
di: Butkus, Eivinas, et al.
Pubblicazione: (2026)

Mitigating Communication Costs in Neural Networks: The Role of Dendritic Nonlinearity
di: Wu, Xundong, et al.
Pubblicazione: (2023)

Perforated Backpropagation: A Neuroscience Inspired Extension to Artificial Neural Networks
di: Brenner, Rorry, et al.
Pubblicazione: (2025)

Fault-Tolerant Neural Networks from Biological Error Correction Codes
di: Zlokapa, Alexander, et al.
Pubblicazione: (2022)

Neural Models of Task Adaptation: A Tutorial on Spiking Networks for Executive Control
di: Kannan, Ashwin Viswanathan, et al.
Pubblicazione: (2025)

The Generalist Brain Module: Module Repetition in Neural Networks in Light of the Minicolumn Hypothesis
di: Kvalsund, Mia-Katrin, et al.
Pubblicazione: (2025)

Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks
di: Huang, Ann, et al.
Pubblicazione: (2024)

On Design Choices in Similarity-Preserving Sparse Randomized Embeddings
di: Kleyko, Denis, et al.
Pubblicazione: (2024)

Toward Practical Equilibrium Propagation: Brain-inspired Recurrent Neural Network with Feedback Regulation and Residual Connections
di: Liu, Zhuo, et al.
Pubblicazione: (2025)

BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation
di: Guo, Zhengrui, et al.
Pubblicazione: (2024)

Spatial Spiking Neural Networks Enable Efficient and Robust Temporal Computation
di: Landsmeer, Lennart P. L., et al.
Pubblicazione: (2025)

SpikeFit: Towards Optimal Deployment of Spiking Networks on Neuromorphic Hardware
di: Kartashov, Ivan, et al.
Pubblicazione: (2025)

Graph-Based Representation Learning of Neuronal Dynamics and Behavior
di: Khajehnejad, Moein, et al.
Pubblicazione: (2024)

Stimulus-to-Stimulus Learning in RNNs with Cortical Inductive Biases
di: Vafidis, Pantelis, et al.
Pubblicazione: (2024)

Optimal Learning Rate Schedule for Balancing Effort and Performance
di: Njaradi, Valentina, et al.
Pubblicazione: (2026)

Meta-Representational Predictive Coding: Biomimetic Self-Supervised Learning
di: Ororbia, Alexander, et al.
Pubblicazione: (2025)

Learning efficient backprojections across cortical hierarchies in real time
di: Max, Kevin, et al.
Pubblicazione: (2022)

Phasor Agents: Oscillatory Graphs with Three-Factor Plasticity and Sleep-Staged Learning
di: Trappe, Rodja
Pubblicazione: (2026)

Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry
di: Chou, Chi-Ning, et al.
Pubblicazione: (2025)

Smooth Exact Gradient Descent Learning in Spiking Neural Networks
di: Klos, Christian, et al.
Pubblicazione: (2023)

MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation
di: Yang, Nianzu, et al.
Pubblicazione: (2024)

FPGA Deployment of LFADS for Real-time Neuroscience Experiments
di: Liu, Xiaohan, et al.
Pubblicazione: (2024)

Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity
di: Huang, Liwei, et al.
Pubblicazione: (2024)

Bayesian Theory of Consciousness as Exchangeable Emotion-Cognition Inference
di: Li, Xin
Pubblicazione: (2024)

ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis
di: Arasu, Hritik, et al.
Pubblicazione: (2025)

Joint sparse coding and temporal dynamics support context reconfiguration
di: Shi, Qianqian, et al.
Pubblicazione: (2026)

Spike-Timing-Dependent Plasticity for Bernoulli Message Passing
di: Adamiat, Sepideh, et al.
Pubblicazione: (2025)

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

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

On the relationship between predictive coding and backpropagation
di: Rosenbaum, Robert
Pubblicazione: (2021)

Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data
di: Antoniades, Antonis, et al.
Pubblicazione: (2023)

Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning
di: Chavlis, Spyridon, et al.
Pubblicazione: (2024)

Synaptic Weight Distributions Depend on the Geometry of Plasticity
di: Pogodin, Roman, et al.
Pubblicazione: (2023)

The dynamic interplay between in-context and in-weight learning in humans and neural networks
di: Russin, Jacob, et al.
Pubblicazione: (2024)

Why all roads don't lead to Rome: Representation geometry varies across the human visual cortical hierarchy
di: Ghosh, Arna, et al.
Pubblicazione: (2025)

Cross-Species RSA Reveals Conserved Early Visual Alignment but Divergent Higher-Area Rankings Across Human fMRI and Macaque Electrophysiology
di: Leutenegger, Nils
Pubblicazione: (2026)

TopoNets: High Performing Vision and Language Models with Brain-Like Topography
di: Deb, Mayukh, et al.
Pubblicazione: (2025)