:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Richter, Hendrik, Thomson, Sarah L.
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing
Online Access:	https://arxiv.org/abs/2401.09229
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evolutionary Algorithms for Generating Graphs Matching Desired Laplacian Spectra
by: Richter, Hendrik, et al.
Published: (2026)

Stalling in Space: Attractor Analysis for any Algorithm
by: Thomson, Sarah L., et al.
Published: (2024)

Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation
by: Rodriguez, C. J., et al.
Published: (2024)

Identifying the impact of local connectivity patterns on dynamics in excitatory-inhibitory networks
by: Shao, Yuxiu, et al.
Published: (2024)

TDE-3: An improved prior for optical flow computation in spiking neural networks
by: Yedutenko, Matthew, et al.
Published: (2024)

Physics-informed neural network for modeling dynamic linear elasticity
by: Kag, Vijay, et al.
Published: (2023)

Subfunction Structure Matters: A New Perspective on Local Optima Networks
by: Thomson, S. L., et al.
Published: (2025)

DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor
by: Richter, Ole, et al.
Published: (2023)

A Deep Dive into Effects of Structural Bias on CMA-ES Performance along Affine Trajectories
by: van Stein, Niki, et al.
Published: (2024)

Reconstructing shared dynamics with a deep neural network
by: Benkő, Zsigmond, et al.
Published: (2021)

Investigating the generative dynamics of energy-based neural networks
by: Tausani, Lorenzo, et al.
Published: (2023)

Connectivity structure and dynamics of nonlinear recurrent neural networks
by: Clark, David G., et al.
Published: (2024)

Impact of leaky dynamics on predictive path integration accuracy in recurrent neural networks
by: Zhang, Yanlin, et al.
Published: (2026)

Geometric and dynamical analysis of attractor boundaries and storage limits in kernel Hopfield networks
by: Tamamori, Akira
Published: (2026)

Impact of diversity on bounded archives for multi-objective local search
by: Coco, Amadeu A., et al.
Published: (2026)

Evolutionary feature selection for spiking neural network pattern classifiers
by: Valko, Michal, et al.
Published: (2026)

DelRec: learning delays in recurrent spiking neural networks
by: Queant, Alexandre, et al.
Published: (2025)

SENMAP: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems
by: Nembhani, Prithvish V, et al.
Published: (2025)

A theoretical framework for reservoir computing on networks of organic electrochemical transistors
by: Landry, Nicholas W., et al.
Published: (2024)

Efficient event-driven retrieval in high-capacity kernel Hopfield networks
by: Tamamori, Akira
Published: (2026)

Algorithm-hardware co-design of neuromorphic networks with dual memory pathways
by: Sun, Pengfei, et al.
Published: (2025)

Exploiting heterogeneous delays for efficient computation in low-bit neural networks
by: Sun, Pengfei, et al.
Published: (2025)

Enhancing Mass Customization Manufacturing: Multiobjective Metaheuristic Algorithms for flow shop Production in Smart Industry
by: Rossit, Diego, et al.
Published: (2024)

Learning-guided iterated local search for the minmax multiple traveling salesman problem
by: He, Pengfei, et al.
Published: (2024)

A two-stage algorithm in evolutionary product unit neural networks for classification
by: Tallón-Ballesteros, Antonio J., et al.
Published: (2024)

Towards free-response paradigm: a theory on decision-making in spiking neural networks
by: Zhu, Zhichao, et al.
Published: (2024)

Multi-body dynamic evolution sequence-assisted PSO for interval analysis
by: Wu, Xuanlong, et al.
Published: (2024)

When Spiking neural networks meet temporal attention image decoding and adaptive spiking neuron
by: Qiu, Xuerui, et al.
Published: (2024)

Path Planning in a dynamic environment using Spherical Particle Swarm Optimization
by: Elshaar, Mohssen E., et al.
Published: (2024)

STCSNN: High energy efficiency spike-train level spiking neural networks with spatio-temporal conversion
by: Xu, Changqing, et al.
Published: (2023)

Parameter efficient hybrid spiking-quantum convolutional neural network with surrogate gradient and quantum data-reupload
by: Nhan, Luu Trong, et al.
Published: (2025)

Neuromorphic Digital-Twin-based Controller for Indoor Multi-UAV Systems Deployment
by: Ahmadvand, Reza, et al.
Published: (2025)

Implementation of high-efficiency, lightweight residual spiking neural network processor based on field-programmable gate arrays
by: Yue, Hou, et al.
Published: (2025)

CMOS-based area-and-power-efficient neuron and synapse circuits for time-domain analog spiking neural networks
by: Chen, Xiangyu, et al.
Published: (2022)

Reproduction of AdEx dynamics on neuromorphic hardware through data embedding and simulation-based inference
by: Huhle, Jakob, et al.
Published: (2024)

A general optimization framework for mapping local transition-state networks
by: Xu, Qichen, et al.
Published: (2025)

Learning richness modulates equality reasoning in neural networks
by: Tong, William L., et al.
Published: (2025)

Automatic programming via large language models with population self-evolution for dynamic job shop scheduling problem
by: Huang, Jin, et al.
Published: (2024)

Enhancing Parameter Control Policies with State Information
by: Covini, Gianluca, et al.
Published: (2025)

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding
by: Ferdaoussi, Ahmad El, et al.
Published: (2024)