Algorithm Development in Neural Networks: Insights from the Streaming Parity Task
Fuente:
arXiv
Saved in:
| Main Authors: | van Rossem, Loek, Saxe, Andrew M. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
When Representations Align: Universality in Representation Learning Dynamics
by: van Rossem, Loek, et al.
Published: (2024)
by: van Rossem, Loek, et al.
Published: (2024)
Meta-Learning Strategies through Value Maximization in Neural Networks
by: Carrasco-Davis, Rodrigo, et al.
Published: (2023)
by: Carrasco-Davis, Rodrigo, et al.
Published: (2023)
Flexible task abstractions emerge in linear networks with fast and bounded units
by: Sandbrink, Kai, et al.
Published: (2024)
by: Sandbrink, Kai, et al.
Published: (2024)
Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks
by: Mannelli, Stefano Sarao, et al.
Published: (2024)
by: Mannelli, Stefano Sarao, et al.
Published: (2024)
Topological Sensitivity in Connectome-Constrained Neural Networks
by: Dhiman, Nalin
Published: (2026)
by: Dhiman, Nalin
Published: (2026)
Generative Modeling of Neural Dynamics via Latent Stochastic Differential Equations
by: ElGazzar, Ahmed, et al.
Published: (2024)
by: ElGazzar, Ahmed, et al.
Published: (2024)
Trial-Level Time-frequency EEG Desynchronization as a Neural Marker of Pain
by: Blanco-Mora, D. A., et al.
Published: (2025)
by: Blanco-Mora, D. A., et al.
Published: (2025)
Causal Interpretation of Neural Network Computations with Contribution Decomposition
by: Melander, Joshua Brendan, et al.
Published: (2026)
by: Melander, Joshua Brendan, et al.
Published: (2026)
Diffusion-Based Generation of Neural Activity from Disentangled Latent Codes
by: McCart, Jonathan D., et al.
Published: (2024)
by: McCart, Jonathan D., et al.
Published: (2024)
Training Large Neural Networks With Low-Dimensional Error Feedback
by: Hanut, Maher, et al.
Published: (2025)
by: Hanut, Maher, et al.
Published: (2025)
Lattice-Based Pruning in Recurrent Neural Networks via Poset Modeling
by: Sengupta, Rakesh
Published: (2025)
by: Sengupta, Rakesh
Published: (2025)
Spiking Neural Models for Decision-Making Tasks with Learning
by: Jaffard, Sophie, et al.
Published: (2025)
by: Jaffard, Sophie, et al.
Published: (2025)
Probabilistic Prediction of Neural Dynamics via Autoregressive Flow Matching
by: Rogalla, Nicole, et al.
Published: (2026)
by: Rogalla, Nicole, et al.
Published: (2026)
Optimal Learning Rate Schedule for Balancing Effort and Performance
by: Njaradi, Valentina, et al.
Published: (2026)
by: Njaradi, Valentina, et al.
Published: (2026)
Learning Glioblastoma Tumor Heterogeneity Using Brain Inspired Topological Neural Networks
by: Paul, Ankita, et al.
Published: (2026)
by: Paul, Ankita, et al.
Published: (2026)
CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis
by: Zheng, Kaizhong, et al.
Published: (2023)
by: Zheng, Kaizhong, et al.
Published: (2023)
HetSyn: Versatile Timescale Integration in Spiking Neural Networks via Heterogeneous Synapses
by: Deng, Zhichao, et al.
Published: (2025)
by: Deng, Zhichao, et al.
Published: (2025)
Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment
by: Yu, Chengting, et al.
Published: (2025)
by: Yu, Chengting, et al.
Published: (2025)
Integrated Brain Connectivity Analysis with fMRI, DTI, and sMRI Powered by Interpretable Graph Neural Networks
by: Qu, Gang, et al.
Published: (2024)
by: Qu, Gang, et al.
Published: (2024)
Neural timescales from a computational perspective
by: Zeraati, Roxana, et al.
Published: (2024)
by: Zeraati, Roxana, et al.
Published: (2024)
Estimating Dimensionality of Neural Representations from Finite Samples
by: Chun, Chanwoo, et al.
Published: (2025)
by: Chun, Chanwoo, et al.
Published: (2025)
Identifying Connectivity Distributions from Neural Dynamics Using Flows
by: Kim, Timothy Doyeon, et al.
Published: (2026)
by: Kim, Timothy Doyeon, et al.
Published: (2026)
Learning Task-Agnostic Motifs to Capture the Continuous Nature of Animal Behavior
by: Wang, Jiyi, et al.
Published: (2025)
by: Wang, Jiyi, et al.
Published: (2025)
Dementia Insights: A Context-Based MultiModal Approach
by: Mehdoui, Sahar Sinene, et al.
Published: (2025)
by: Mehdoui, Sahar Sinene, et al.
Published: (2025)
Estimating Neural Representation Alignment from Sparsely Sampled Inputs and Features
by: Chun, Chanwoo, et al.
Published: (2025)
by: Chun, Chanwoo, et al.
Published: (2025)
Predicting Cognition from fMRI:A Comparative Study of Graph, Transformer, and Kernel Models Across Task and Rest Conditions
by: Patel, Jagruti, et al.
Published: (2025)
by: Patel, Jagruti, et al.
Published: (2025)
Latent Diffusion for Neural Spiking Data
by: Kapoor, Jaivardhan, et al.
Published: (2024)
by: Kapoor, Jaivardhan, et al.
Published: (2024)
Langevin Flows for Modeling Neural Latent Dynamics
by: Song, Yue, et al.
Published: (2025)
by: Song, Yue, et al.
Published: (2025)
Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience
by: Liu, Zinan, et al.
Published: (2025)
by: Liu, Zinan, et al.
Published: (2025)
POCO: Scalable Neural Forecasting through Population Conditioning
by: Duan, Yu, et al.
Published: (2025)
by: Duan, Yu, et al.
Published: (2025)
Modeling Neural Activity with Conditionally Linear Dynamical Systems
by: Geadah, Victor, et al.
Published: (2025)
by: Geadah, Victor, et al.
Published: (2025)
Spatial Craving Patterns in Marijuana Users: Insights from fMRI Brain Connectivity Analysis with High-Order Graph Attention Neural Networks
by: Ding, Jun-En, et al.
Published: (2024)
by: Ding, Jun-En, et al.
Published: (2024)
Benchmarking Probabilistic Time Series Forecasting Models on Neural Activity
by: Lu, Ziyu, et al.
Published: (2025)
by: Lu, Ziyu, et al.
Published: (2025)
Neural-Behavioral Representation of Natural Whole-body Movement in Monkeys
by: He, Jieshi, et al.
Published: (2026)
by: He, Jieshi, et al.
Published: (2026)
Population Transformer: Learning Population-level Representations of Neural Activity
by: Chau, Geeling, et al.
Published: (2024)
by: Chau, Geeling, et al.
Published: (2024)
NeuroBind: Towards Unified Multimodal Representations for Neural Signals
by: Yang, Fengyu, et al.
Published: (2024)
by: Yang, Fengyu, et al.
Published: (2024)
FingerNet: EEG Decoding of A Fine Motor Imagery with Finger-tapping Task Based on A Deep Neural Network
by: Go, Young-Min, et al.
Published: (2024)
by: Go, Young-Min, et al.
Published: (2024)
BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity
by: Luo, Andrew F., et al.
Published: (2023)
by: Luo, Andrew F., et al.
Published: (2023)
BACE: Behavior-Adaptive Connectivity Estimation for Interpretable Graphs of Neural Dynamics
by: Asadi, Mehrnaz, et al.
Published: (2025)
by: Asadi, Mehrnaz, et al.
Published: (2025)
NeuralBench: A Unifying Framework to Benchmark NeuroAI Models
by: Banville, Hubert, et al.
Published: (2026)
by: Banville, Hubert, et al.
Published: (2026)
Similar Items
-
When Representations Align: Universality in Representation Learning Dynamics
by: van Rossem, Loek, et al.
Published: (2024) -
Meta-Learning Strategies through Value Maximization in Neural Networks
by: Carrasco-Davis, Rodrigo, et al.
Published: (2023) -
Flexible task abstractions emerge in linear networks with fast and bounded units
by: Sandbrink, Kai, et al.
Published: (2024) -
Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks
by: Mannelli, Stefano Sarao, et al.
Published: (2024) -
Topological Sensitivity in Connectome-Constrained Neural Networks
by: Dhiman, Nalin
Published: (2026)