Image de couverture de livre

Phase codes emerge in recurrent neural networks optimized for modular arithmetic

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Murray, Keith T.
Format:	Preprint
Publié:	2023
Sujets:	Neurons and Cognition Artificial Intelligence Neural and Evolutionary Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding
par: Song, Yu, et autres
Publié: (2024)

Discovering alternative solutions beyond the simplicity bias in recurrent neural networks
par: Qian, William, et autres
Publié: (2025)

pyhgf: A neural network library for predictive coding
par: Legrand, Nicolas, et autres
Publié: (2024)

Self-orthogonalizing attractor neural networks emerging from the free energy principle
par: Spisak, Tamas, et autres
Publié: (2025)

How connectivity structure shapes rich and lazy learning in neural circuits
par: Liu, Yuhan Helena, et autres
Publié: (2023)

Functional connectomes of neural networks
par: Songdechakraiwut, Tananun, et autres
Publié: (2024)

Von Economo neurons enable reliable social skill acquisition in recurrent spiking neural networks: a computational account with clinical predictions
par: Keskin, Esila
Publié: (2026)

Spiking mode-based neural networks
par: Lin, Zhanghan, et autres
Publié: (2023)

Structure of activity in multiregion recurrent neural networks
par: Clark, David G., et autres
Publié: (2024)

Sufficient conditions for offline reactivation in recurrent neural networks
par: Krishna, Nanda H., et autres
Publié: (2025)

Connectivity structure and dynamics of nonlinear recurrent neural networks
par: Clark, David G., et autres
Publié: (2024)

Causal pieces: analysing and improving spiking neural networks piece by piece
par: Dold, Dominik, et autres
Publié: (2025)

Generalisation to unseen topologies: Towards control of biological neural network activity
par: Engwegen, Laurens, et autres
Publié: (2024)

Heterogeneous quantization regularizes spiking neural network activity
par: Moyal, Roy, et autres
Publié: (2024)

Teaching signal synchronization in deep neural networks with prospective neurons
par: Zucchet, Nicoas, et autres
Publié: (2025)

Elucidating the theoretical underpinnings of surrogate gradient learning in spiking neural networks
par: Gygax, Julia, et autres
Publié: (2024)

A flexible framework for structural plasticity in GPU-accelerated sparse spiking neural networks
par: Knight, James C., et autres
Publié: (2025)

Unsupervised representation learning with Hebbian synaptic and structural plasticity in brain-like feedforward neural networks
par: Ravichandran, Naresh, et autres
Publié: (2024)

Digital twin brain: a bridge between biological intelligence and artificial intelligence
par: Xiong, Hui, et autres
Publié: (2023)

A differentiable brain simulator bridging brain simulation and brain-inspired computing
par: Wang, Chaoming, et autres
Publié: (2023)

Competitive plasticity to reduce the energetic costs of learning
par: van Rossum, Mark CW
Publié: (2023)

Modularity is the Bedrock of Natural and Artificial Intelligence
par: Salatiello, Alessandro
Publié: (2026)

Adaptive Spiking with Plasticity for Energy Aware Neuromorphic Systems
par: Calle-Ortiz, Eduardo, et autres
Publié: (2025)

NSPDI-SNN: An efficient lightweight SNN based on nonlinear synaptic pruning and dendritic integration
par: Cai, Wuque, et autres
Publié: (2025)

Evolving Cognitive Architectures
par: Serov, Alexander
Publié: (2025)

Implementing engrams from a machine learning perspective: XOR as a basic motif
par: de Lucas, Jesus Marco, et autres
Publié: (2024)

Associative memory and dead neurons
par: Fanaskov, Vladimir, et autres
Publié: (2024)

Neuropsychology and Explainability of AI: A Distributional Approach to the Relationship Between Activation Similarity of Neural Categories in Synthetic Cognition
par: Pichat, Michael, et autres
Publié: (2024)

Biological Processing Units: Leveraging an Insect Connectome to Pioneer Biofidelic Neural Architectures
par: Yu, Siyu, et autres
Publié: (2025)

Computing with Canonical Microcircuits
par: Douglas, PK
Publié: (2025)

NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders
par: Ding, Jun-En, et autres
Publié: (2025)

Neural Manifolds and Cognitive Consistency: A New Approach to Memory Consolidation in Artificial Systems
par: Nguyen, Phuong-Nam
Publié: (2025)

A Unified Cortical Circuit Model with Divisive Normalization and Self-Excitation for Robust Representation and Memory Maintenance
par: Su, Jie, et autres
Publié: (2025)

A Concept-Value Network as a Brain Model
par: Greer, Kieran
Publié: (2019)

Self-organized MT Direction Maps Emerge from Spatiotemporal Contrastive Optimization
par: Gu, Zhaotian, et autres
Publié: (2026)

ELiSe: Efficient Learning of Sequences in Structured Recurrent Networks
par: Kriener, Laura, et autres
Publié: (2024)

A Grid Cell-Inspired Structured Vector Algebra for Cognitive Maps
par: Krausse, Sven, et autres
Publié: (2025)

Continual Developmental Neurosimulation Using Embodied Computational Agents
par: Alicea, Bradly, et autres
Publié: (2021)

Unambiguous Representations in Neural Networks: An Information-Theoretic Approach to Intentionality
par: Lässig, Francesco
Publié: (2025)

The role of neuromorphic principles in the future of biomedicine and healthcare
par: Hwang, Grace M., et autres
Publié: (2026)