Copertina

Visuospatial navigation from the bottom-up: without vestibular integration, distance prediction, or maps

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Govoni, Patrick, Romanczuk, Pawel
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Neural and Evolutionary Computing Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Training neural networks without backpropagation using particles
di: Kumar, Deepak
Pubblicazione: (2024)

Scalable Speed-ups for the SMS-EMOA from a Simple Aging Strategy
di: Li, Mingfeng, et al.
Pubblicazione: (2025)

Evolutionary thoughts: integration of large language models and evolutionary algorithms
di: Yepes, Antonio Jimeno, et al.
Pubblicazione: (2025)

Multi-task multi-constraint differential evolution with elite-guided knowledge transfer for coal mine integrated energy system dispatching
di: Dai, Canyun, et al.
Pubblicazione: (2024)

On the use of feature-maps and parameter control for improved quality-diversity meta-evolution
di: Bossens, David M., et al.
Pubblicazione: (2021)

Deployment Pipeline from Rockpool to Xylo for Edge Computing
di: Zhou, Peng, et al.
Pubblicazione: (2024)

Lower Bounds from Fitness Levels Made Easy
di: Doerr, Benjamin, et al.
Pubblicazione: (2021)

Fine Tuning Swimming Locomotion Learned from Mosquito Larvae
di: Rajbhandari, Pranav, et al.
Pubblicazione: (2024)

Evolutionary Rule Extraction from Corporate Default Prediction Models
di: Fabbretti, Desirè, et al.
Pubblicazione: (2026)

Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN
di: Ouyang, Kaichen, et al.
Pubblicazione: (2024)

Embodied World Models Emerge from Navigational Task in Open-Ended Environments
di: Jin, Li, et al.
Pubblicazione: (2025)

Scalable Learning in Structured Recurrent Spiking Neural Networks without Backpropagation
di: Tang, Bo, et al.
Pubblicazione: (2026)

Improving equilibrium propagation without weight symmetry through Jacobian homeostasis
di: Laborieux, Axel, et al.
Pubblicazione: (2023)

Implementing engrams from a machine learning perspective: the relevance of a latent space
di: de Lucas, J Marco
Pubblicazione: (2024)

A GRASP-based memetic algorithm with path relinking for the far from most string problem
di: Gallardo, José E., et al.
Pubblicazione: (2024)

Cultivating Machine Intelligence: The OMEGA Shift from Top-Down Optimization to Autopoietic Cognitive Ecologies
di: Zare, Ata G.
Pubblicazione: (2026)

EMBER: Autonomous Cognitive Behaviour from Learned Spiking Neural Network Dynamics in a Hybrid LLM Architecture
di: Savage, William
Pubblicazione: (2026)

Oscillations enhance time-series prediction in reservoir computing with feedback
di: Kawai, Yuji, et al.
Pubblicazione: (2024)

Automating the Search for Artificial Life with Foundation Models
di: Kumar, Akarsh, et al.
Pubblicazione: (2024)

Multi-Representation Genetic Programming: A Case Study on Tree-based and Linear Representations
di: Huang, Zhixing, et al.
Pubblicazione: (2024)

Learning Characteristics of Reverse Quaternion Neural Network
di: Yamauchi, Shogo, et al.
Pubblicazione: (2024)

Runtime Analysis of Evolutionary Diversity Optimization on the Multi-objective (LeadingOnes, TrailingZeros) Problem
di: Antipov, Denis, et al.
Pubblicazione: (2024)

Web Neural Network with Complete DiGraphs
di: Li, Frank
Pubblicazione: (2024)

A Functional Analysis Approach to Symbolic Regression
di: Antonov, Kirill, et al.
Pubblicazione: (2024)

Multiobjective Optimization Analysis for Finding Infrastructure-as-Code Deployment Configurations
di: Osaba, Eneko, et al.
Pubblicazione: (2024)

A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis
di: Doerr, Benjamin, et al.
Pubblicazione: (2024)

Randomized heuristic repair for large-scale multidimensional knapsack problem
di: Martins, Jean P.
Pubblicazione: (2024)

Sliding Window 3-Objective Pareto Optimization for Problems with Chance Constraints
di: Neumann, Frank, et al.
Pubblicazione: (2024)

Multi-Bit Mechanism: A Novel Information Transmission Paradigm for Spiking Neural Networks
di: Xiao, Yongjun, et al.
Pubblicazione: (2024)

SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN
di: You, Kang, et al.
Pubblicazione: (2024)

Evaluation Framework for AI-driven Molecular Design of Multi-target Drugs: Brain Diseases as a Case Study
di: Cerveira, Arthur, et al.
Pubblicazione: (2024)

A Genetic Algorithm for Multi-Capacity Fixed-Charge Flow Network Design
di: Eardley, Caleb, et al.
Pubblicazione: (2024)

Bilinear Fuzzy Genetic Algorithm and Its Application on the Optimum Design of Steel Structures with Semi-rigid Connections
di: Farahmand-Tabar, Salar, et al.
Pubblicazione: (2024)

Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures
di: Sanaullah, et al.
Pubblicazione: (2024)

Explainable Benchmarking for Iterative Optimization Heuristics
di: van Stein, Niki, et al.
Pubblicazione: (2024)

GARA: A novel approach to Improve Genetic Algorithms' Accuracy and Efficiency by Utilizing Relationships among Genes
di: Shi, Zhaoning, et al.
Pubblicazione: (2024)

Evolving Self-Assembling Neural Networks: From Spontaneous Activity to Experience-Dependent Learning
di: Plantec, Erwan, et al.
Pubblicazione: (2024)

Emerging NeoHebbian Dynamics in Forward-Forward Learning: Implications for Neuromorphic Computing
di: Terres-Escudero, Erik B., et al.
Pubblicazione: (2024)

Growing Artificial Neural Networks for Control: the Role of Neuronal Diversity
di: Nisioti, Eleni, et al.
Pubblicazione: (2024)

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines
di: Mlakar, Uroš, et al.
Pubblicazione: (2024)