Cover Image

Biologically-Plausible Topology Improved Spiking Actor Network for Efficient Deep Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Duzhen, Wang, Qingyu, Zhang, Tielin, Xu, Bo
Format:	Preprint
Published:	2024
Subjects:	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

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

Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding
by: Song, Yu, et al.
Published: (2024)

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

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

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

Learning Internal Biological Neuron Parameters and Complexity-Based Encoding for Improved Spiking Neural Networks Performance
by: Rudnicka, Zofia, et al.
Published: (2025)

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

Spiking representation learning for associative memories
by: Ravichandran, Naresh, et al.
Published: (2024)

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

A Practical Guide to Tuning Spiking Neuronal Dynamics
by: Gebhardt, William, et al.
Published: (2025)

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

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example
by: Liu, Yuhan Helena, et al.
Published: (2025)

BrainFuse: a unified infrastructure integrating realistic biological modeling and core AI methodology
by: Chen, Baiyu, et al.
Published: (2026)

Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
by: Bozkurt, Bariscan, et al.
Published: (2023)

SpikeFit: Towards Optimal Deployment of Spiking Networks on Neuromorphic Hardware
by: Kartashov, Ivan, et al.
Published: (2025)

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection
by: Rudnicka, Zofia, et al.
Published: (2025)

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

MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation
by: Yang, Nianzu, et al.
Published: (2024)

Preliminary Results of Neuromorphic Controller Design and a Parkinson's Disease Dataset Building for Closed-Loop Deep Brain Stimulation
by: Biswas, Ananna, et al.
Published: (2024)

Attention to task structure for cognitive flexibility
by: Zhang, Xiaoyu K., et al.
Published: (2026)

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

Self-motion as a structural prior for coherent and robust formation of cognitive maps
by: Yu, Yingchao, 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)

Coin-Flipping In The Brain: Statistical Learning with Neuronal Assemblies
by: Dabagia, Max, et al.
Published: (2024)

Tuning the Weights: The Impact of Initial Matrix Configurations on Successor Features Learning Efficacy
by: Lee, Hyunsu
Published: (2021)

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

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

The Role of Excitatory Parvalbumin-positive Neurons in the Tectofugal Pathway of Pigeon (Columba livia) Hierarchical Visual Processing
by: Lu, Shan, et al.
Published: (2025)

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

ELiSe: Efficient Learning of Sequences in Structured Recurrent Networks
by: Kriener, Laura, et al.
Published: (2024)

Spiking neurons as predictive controllers of linear systems
by: Agliati, Paolo, et al.
Published: (2025)

Fault-Tolerant Neural Networks from Biological Error Correction Codes
by: Zlokapa, Alexander, et al.
Published: (2022)

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

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

Adaptive Spiking with Plasticity for Energy Aware Neuromorphic Systems
by: Calle-Ortiz, Eduardo, et al.
Published: (2025)

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

Encoding and Decoding Temporal Signals with Spiking Bandpass Wavelets
by: Pedersen, Jens Egholm, et al.
Published: (2026)

ST-FlowNet: An Efficient Spiking Neural Network for Event-Based Optical Flow Estimation
by: Sun, Hongze, et al.
Published: (2025)

Exploring the role of structure in a time constrained decision task
by: Chaix-Eichel, Naomi, et al.
Published: (2024)

Reply to: Limitations in odour recognition and generalisation in a neuromorphic olfactory circuit
by: Moyal, Roy, et al.
Published: (2024)