Cover Image

Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chou, Chi-Ning, Le, Hang, Wang, Yichen, Chung, SueYeon
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Neural and Evolutionary Computing Neurons and Cognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Nonlinear classification of neural manifolds with contextual information
by: Mignacco, Francesca, et al.
Published: (2024)

Neural population geometry and optimal coding of tasks with shared latent structure
by: Wakhloo, Albert J., et al.
Published: (2024)

Linear Readout of Neural Manifolds with Continuous Variables
by: Slatton, Will, et al.
Published: (2026)

Spectral Analysis of Representational Similarity with Limited Neurons
by: Kang, Hyunmo, et al.
Published: (2025)

Statistical Mechanics of Support Vector Regression
by: Canatar, Abdulkadir, et al.
Published: (2024)

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

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

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

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

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

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

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

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

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

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

R-FORCE: Robust Learning for Random Recurrent Neural Networks
by: Zheng, Yang, et al.
Published: (2020)

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

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

Estimating Neural Representation Alignment from Sparsely Sampled Inputs and Features
by: Chun, Chanwoo, et al.
Published: (2025)

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

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

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

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

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

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

On the relationship between predictive coding and backpropagation
by: Rosenbaum, Robert
Published: (2021)

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

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

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

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

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

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

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

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

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

Emergence of the Primacy Effect in Structured State-Space Models
by: Morita, Takashi
Published: (2025)

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

Sufficient conditions for offline reactivation in recurrent neural networks
by: Krishna, Nanda H., et al.
Published: (2025)

Contribute to balance, wire in accordance: Emergence of backpropagation from a simple, bio-plausible neuroplasticity rule
by: Fan, Xinhao, et al.
Published: (2024)

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