:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Xuebin, Liu, Chunxiuzi, Zhao, Meng, Zhang, Ke, Di, Zengru, Liu, He
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing Artificial Intelligence Computer Vision and Pattern Recognition Neurons and Cognition
Online Access:	https://arxiv.org/abs/2409.07466
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

The Impact of Structural Changes on Learning Capacity in the Fly Olfactory Neural Circuit
by: Xie, Katherine, et al.
Published: (2025)

Nonlinear Neural Dynamics and Classification Accuracy in Reservoir Computing
by: Metzner, Claus, et al.
Published: (2024)

Artificial intelligence as a surrogate brain: Bridging neural dynamical models and data
by: Zhang, Yinuo, et al.
Published: (2025)

Neural Computation Without Slots: Steps Towards Biologically Plausible Memory and Attention in Natural and Artificial Intelligence
by: Bhandarkar, Shaunak, et al.
Published: (2025)

Data-Efficient Neural Training with Dynamic Connectomes
by: Wu, Yutong, et al.
Published: (2025)

Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems
by: Shankar, Sohan, et al.
Published: (2025)

Smooth Exact Gradient Descent Learning in Spiking Neural Networks
by: Klos, Christian, et al.
Published: (2023)

Spatial Spiking Neural Networks Enable Efficient and Robust Temporal Computation
by: Landsmeer, Lennart P. L., et al.
Published: (2025)

Diverse Neural Sequences in QIF Networks: An Analytically Tractable Framework for Synfire Chains and Hippocampal Replay
by: Shimizu, Genki, et al.
Published: (2025)

DeepNose: An Equivariant Convolutional Neural Network Predictive Of Human Olfactory Percepts
by: Shuvaev, Sergey, et al.
Published: (2024)

The Influence of Initial Connectivity on Biologically Plausible Learning
by: Liu, Weixuan, et al.
Published: (2024)

Effective Stimulus Propagation in Neural Circuits: Driver Node Selection
by: Batuev, Bulat, et al.
Published: (2025)

Synthetic Biology meets Neuromorphic Computing: Towards a bio-inspired Olfactory Perception System
by: Max, Kevin, et al.
Published: (2025)

A Spatiotemporal Perspective on Dynamical Computation in Neural Information Processing Systems
by: Keller, T. Anderson, et al.
Published: (2024)

"What" x "When" working memory representations using Laplace Neural Manifolds
by: Sarkar, Aakash, et al.
Published: (2024)

Adaptive Decoding via Hierarchical Neural Information Gradients in Mouse Visual Tasks
by: Feng, Jingyi, et al.
Published: (2025)

Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity
by: Huang, Liwei, et al.
Published: (2024)

A Unified Phase-native Computational Principle Governs Hippocampal Spike Timing and Neural Coding
by: Ahmadvand, Reza, et al.
Published: (2026)

Regime Mapping of Oscillatory States in Balanced Spiking Networks with Multiple Time Scales
by: Kuo, Tsung-Han, et al.
Published: (2026)

Biologically-Plausible Topology Improved Spiking Actor Network for Efficient Deep Reinforcement Learning
by: Zhang, Duzhen, et al.
Published: (2024)

PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding
by: Li, Kangcong, et al.
Published: (2025)

Embedded Silicon-Organic Integrated Neuromorphic System
by: Zheng, Shengjie, et al.
Published: (2022)

Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli
by: Huang, Liwei, et al.
Published: (2023)

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

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

Exploring Biologically Inspired Mechanisms of Adversarial Robustness
by: Holzhausen, Konstantin, et al.
Published: (2024)

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

Growing a Neural Network in Breadth, Depth, and Time
by: Butkus, Eivinas, et al.
Published: (2026)

A Grid Cell-Inspired Structured Vector Algebra for Cognitive Maps
by: Krausse, Sven, et al.
Published: (2025)

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)

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

Teaching signal synchronization in deep neural networks with prospective neurons
by: Zucchet, Nicoas, et al.
Published: (2025)

On Broken Symmetry in Cognition
by: Li, Xin
Published: (2023)

Building functional and mechanistic models of cortical computation based on canonical cell type connectivity
by: Granier, Arno, et al.
Published: (2025)

Analysis of a Spatialized Brain-Body-Environment System
by: Pak, Denizhan, et al.
Published: (2025)

The generalized Hierarchical Gaussian Filter
by: Weber, Lilian Aline, et al.
Published: (2023)

Exploring the role of structure in a time constrained decision task
by: Chaix-Eichel, Naomi, 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)