Cover Image

Critical Learning Periods Emerge Even in Deep Linear Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kleinman, Michael, Achille, Alessandro, Soatto, Stefano
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Neurons and Cognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DSAM: A Deep Learning Framework for Analyzing Temporal and Spatial Dynamics in Brain Networks
by: Thapaliya, Bishal, et al.
Published: (2024)

Deep Learning without Weight Symmetry
by: Ji-An, Li, et al.
Published: (2024)

Contrastive Self-Supervised Learning As Neural Manifold Packing
by: Zhang, Guanming, et al.
Published: (2025)

Modular Boundaries in Recurrent Neural Networks
by: Tanner, Jacob, et al.
Published: (2023)

Explaining Deep Learning Models for Age-related Gait Classification based on time series acceleration
by: Zheng, Xiaoping, et al.
Published: (2023)

Cortex-Inspired Continual Learning: Unsupervised Instantiation and Recovery of Functional Task Networks
by: McKee, Kevin, et al.
Published: (2026)

Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification
by: Noman, Fuad, et al.
Published: (2021)

Accuracy-Efficiency Trade-Offs in Spiking Neural Networks: A Lempel-Ziv Complexity Perspective on Learning Rules
by: Rudnicka, Zofia, et al.
Published: (2025)

Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection
by: Blumberg, Stefano B., et al.
Published: (2022)

Clustering Inductive Biases with Unrolled Networks
by: Huml, Jonathan, et al.
Published: (2023)

Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data
by: Thapaliya, Bishal, et al.
Published: (2023)

Contrastive Graph Pooling for Explainable Classification of Brain Networks
by: Xu, Jiaxing, et al.
Published: (2023)

Learning Human-Aligned Representations with Contrastive Learning and Generative Similarity
by: Marjieh, Raja, et al.
Published: (2024)

Learning to Abstract Visuomotor Mappings using Meta-Reinforcement Learning
by: Velazquez-Vargas, Carlos A., et al.
Published: (2024)

Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification
by: Xu, Jiaxing, et al.
Published: (2024)

Emergent Language Symbolic Autoencoder (ELSA) with Weak Supervision to Model Hierarchical Brain Networks
by: Latheef, Ammar Ahmed Pallikonda, et al.
Published: (2024)

Hybrid Spiking Neural Networks for Low-Power Intra-Cortical Brain-Machine Interfaces
by: Vasilache, Alexandru, et al.
Published: (2024)

Rethinking Over-Smoothing in Graph Neural Networks: A Perspective from Anderson Localization
by: Ouyang, Kaichen
Published: (2025)

Learning Cross-Atlas Consistent Brain Disorder Representations via Disentangled Multi-Atlas Functional Connectivity Learning
by: Chen, Minheng, et al.
Published: (2026)

Learning Dynamics of RNNs in Closed-Loop Environments
by: Ger, Yoav, et al.
Published: (2025)

Disentangling Representations through Multi-task Learning
by: Vafidis, Pantelis, et al.
Published: (2024)

Learning reveals invisible structure in low-rank RNNs
by: Ger, Yoav, et al.
Published: (2026)

NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
by: Said, Anwar, et al.
Published: (2023)

Sophisticated Learning: A novel algorithm for active learning during model-based planning
by: Hodson, Rowan, et al.
Published: (2023)

Multimodal Dreaming: A Global Workspace Approach to World Model-Based Reinforcement Learning
by: Maytié, Léopold, et al.
Published: (2025)

Revealing Neurocognitive and Behavioral Patterns by Unsupervised Manifold Learning from Dynamic Brain Data
by: Zhou, Zixia, et al.
Published: (2025)

BrainNet-MoE: Brain-Inspired Mixture-of-Experts Learning for Neurological Disease Identification
by: Zhang, Jing, et al.
Published: (2025)

Establishing Central Sensitization Inventory Cut-off Values in patients with Chronic Low Back Pain by Unsupervised Machine Learning
by: Zheng, Xiaoping, et al.
Published: (2023)

Bridging Foundation Models and Efficient Architectures: A Modular Brain Imaging Framework with Local Masking and Pretrained Representation Learning
by: Wang, Yanwen, et al.
Published: (2025)

Characterizing Continuous and Discrete Hybrid Latent Spaces for Structural Connectomes
by: Rudravaram, Gaurav, et al.
Published: (2025)

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease
by: Ravivarapu, Harsh, et al.
Published: (2025)

Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics
by: Li, Jiahe, et al.
Published: (2025)

Comparative Analysis of Deep Learning Approaches for Harmful Brain Activity Detection Using EEG
by: Bhatti, Shivraj Singh, et al.
Published: (2024)

Balanced Graph Structure Information for Brain Disease Detection
by: Febrinanto, Falih Gozi, et al.
Published: (2023)

Most discriminative stimuli for functional cell type clustering
by: Burg, Max F., et al.
Published: (2023)

On efficient computation in active inference
by: Paul, Aswin, et al.
Published: (2023)

Overcoming classic challenges for artificial neural networks by providing incentives and practice
by: Irie, Kazuki, et al.
Published: (2024)

JEDI: Jointly Embedded Inference of Neural Dynamics
by: Jamkhandi, Anirudh, et al.
Published: (2026)

BRAID: Input-Driven Nonlinear Dynamical Modeling of Neural-Behavioral Data
by: Vahidi, Parsa, et al.
Published: (2025)

Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing
by: Zhang, Qingzhu, et al.
Published: (2025)