Sufficient conditions for offline reactivation in recurrent neural networks
Fuente:
arXiv
Saved in:
| Main Authors: | Krishna, Nanda H., Bredenberg, Colin, Levenstein, Daniel, Richards, Blake A., Lajoie, Guillaume |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Synaptic Weight Distributions Depend on the Geometry of Plasticity
by: Pogodin, Roman, et al.
Published: (2023)
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)
by: Williams, Ezekiel, et al.
Published: (2026)
Why all roads don't lead to Rome: Representation geometry varies across the human visual cortical hierarchy
by: Ghosh, Arna, et al.
Published: (2025)
by: Ghosh, Arna, et al.
Published: (2025)
Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution
by: Zhang, Yizi, et al.
Published: (2024)
by: Zhang, Yizi, et al.
Published: (2024)
Expressivity of Neural Networks with Random Weights and Learned Biases
by: Williams, Ezekiel, et al.
Published: (2024)
by: Williams, Ezekiel, et al.
Published: (2024)
Discovering alternative solutions beyond the simplicity bias in recurrent neural networks
by: Qian, William, et al.
Published: (2025)
by: Qian, William, et al.
Published: (2025)
The dynamic interplay between in-context and in-weight learning in humans and neural networks
by: Russin, Jacob, et al.
Published: (2024)
by: Russin, Jacob, et al.
Published: (2024)
Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning
by: Chavlis, Spyridon, et al.
Published: (2024)
by: Chavlis, Spyridon, et al.
Published: (2024)
Improving the adaptive and continuous learning capabilities of artificial neural networks: Lessons from multi-neuromodulatory dynamics
by: Mei, Jie, et al.
Published: (2025)
by: Mei, Jie, et al.
Published: (2025)
Decoding finger velocity from cortical spike trains with recurrent spiking neural networks
by: Liu, Tengjun, et al.
Published: (2024)
by: Liu, Tengjun, et al.
Published: (2024)
Von Economo neurons enable reliable social skill acquisition in recurrent spiking neural networks: a computational account with clinical predictions
by: Keskin, Esila
Published: (2026)
by: Keskin, Esila
Published: (2026)
BrainNPT: Pre-training of Transformer networks for brain network classification
by: Hu, Jinlong, et al.
Published: (2023)
by: Hu, Jinlong, et al.
Published: (2023)
Functional connectomes of neural networks
by: Songdechakraiwut, Tananun, et al.
Published: (2024)
by: Songdechakraiwut, Tananun, et al.
Published: (2024)
Self-supervised local learning rules learn the hidden hierarchical structure of high-dimensional data
by: Delrocq, Ariane, et al.
Published: (2026)
by: Delrocq, Ariane, et al.
Published: (2026)
Structure of activity in multiregion recurrent neural networks
by: Clark, David G., et al.
Published: (2024)
by: Clark, David G., et al.
Published: (2024)
Connectivity structure and dynamics of nonlinear recurrent neural networks
by: Clark, David G., et al.
Published: (2024)
by: Clark, David G., et al.
Published: (2024)
Storing overlapping associative memories on latent manifolds in low-rank spiking networks
by: Podlaski, William F., et al.
Published: (2024)
by: Podlaski, William F., et al.
Published: (2024)
Heterogeneous quantization regularizes spiking neural network activity
by: Moyal, Roy, et al.
Published: (2024)
by: Moyal, Roy, et al.
Published: (2024)
How connectivity structure shapes rich and lazy learning in neural circuits
by: Liu, Yuhan Helena, et al.
Published: (2023)
by: Liu, Yuhan Helena, et al.
Published: (2023)
pyhgf: A neural network library for predictive coding
by: Legrand, Nicolas, et al.
Published: (2024)
by: Legrand, Nicolas, et al.
Published: (2024)
ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks
by: Li, Junyan, et al.
Published: (2025)
by: Li, Junyan, et al.
Published: (2025)
Phase codes emerge in recurrent neural networks optimized for modular arithmetic
by: Murray, Keith T.
Published: (2023)
by: Murray, Keith T.
Published: (2023)
Causal pieces: analysing and improving spiking neural networks piece by piece
by: Dold, Dominik, et al.
Published: (2025)
by: Dold, Dominik, et al.
Published: (2025)
Generalisation to unseen topologies: Towards control of biological neural network activity
by: Engwegen, Laurens, et al.
Published: (2024)
by: Engwegen, Laurens, et al.
Published: (2024)
Teaching signal synchronization in deep neural networks with prospective neurons
by: Zucchet, Nicoas, et al.
Published: (2025)
by: Zucchet, Nicoas, et al.
Published: (2025)
Self-orthogonalizing attractor neural networks emerging from the free energy principle
by: Spisak, Tamas, et al.
Published: (2025)
by: Spisak, Tamas, et al.
Published: (2025)
Elucidating the theoretical underpinnings of surrogate gradient learning in spiking neural networks
by: Gygax, Julia, et al.
Published: (2024)
by: Gygax, Julia, et al.
Published: (2024)
A flexible framework for structural plasticity in GPU-accelerated sparse spiking neural networks
by: Knight, James C., et al.
Published: (2025)
by: Knight, James C., et al.
Published: (2025)
On Design Choices in Similarity-Preserving Sparse Randomized Embeddings
by: Kleyko, Denis, et al.
Published: (2024)
by: Kleyko, Denis, et al.
Published: (2024)
Unsupervised representation learning with Hebbian synaptic and structural plasticity in brain-like feedforward neural networks
by: Ravichandran, Naresh, et al.
Published: (2024)
by: Ravichandran, Naresh, et al.
Published: (2024)
Learning efficient backprojections across cortical hierarchies in real time
by: Max, Kevin, et al.
Published: (2022)
by: Max, Kevin, et al.
Published: (2022)
Bayesian Theory of Consciousness as Exchangeable Emotion-Cognition Inference
by: Li, Xin
Published: (2024)
by: Li, Xin
Published: (2024)
ArtifactGen: Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis
by: Arasu, Hritik, et al.
Published: (2025)
by: Arasu, Hritik, et al.
Published: (2025)
Phasor Agents: Oscillatory Graphs with Three-Factor Plasticity and Sleep-Staged Learning
by: Trappe, Rodja
Published: (2026)
by: Trappe, Rodja
Published: (2026)
Graph-Based Representation Learning of Neuronal Dynamics and Behavior
by: Khajehnejad, Moein, et al.
Published: (2024)
by: Khajehnejad, Moein, et al.
Published: (2024)
Joint sparse coding and temporal dynamics support context reconfiguration
by: Shi, Qianqian, et al.
Published: (2026)
by: Shi, Qianqian, et al.
Published: (2026)
Spike-Timing-Dependent Plasticity for Bernoulli Message Passing
by: Adamiat, Sepideh, et al.
Published: (2025)
by: Adamiat, Sepideh, et al.
Published: (2025)
On the relationship between predictive coding and backpropagation
by: Rosenbaum, Robert
Published: (2021)
by: Rosenbaum, Robert
Published: (2021)
Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data
by: Antoniades, Antonis, et al.
Published: (2023)
by: Antoniades, Antonis, et al.
Published: (2023)
Cross-Species RSA Reveals Conserved Early Visual Alignment but Divergent Higher-Area Rankings Across Human fMRI and Macaque Electrophysiology
by: Leutenegger, Nils
Published: (2026)
by: Leutenegger, Nils
Published: (2026)
Similar Items
-
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) -
Why all roads don't lead to Rome: Representation geometry varies across the human visual cortical hierarchy
by: Ghosh, Arna, et al.
Published: (2025) -
Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution
by: Zhang, Yizi, et al.
Published: (2024) -
Expressivity of Neural Networks with Random Weights and Learned Biases
by: Williams, Ezekiel, et al.
Published: (2024)