Cover Image

Cognitive Modelling Aspects of Neurodevelopmental Disorders Using Standard and Oscillating Neighbourhood SOM Neural Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Revithis, Spyridon, Marcus, Nadine
Format:	Preprint
Published:	2025
Subjects:	Neurons and Cognition Neural and Evolutionary Computing I.2.6; I.2.0; J.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Persistent Memory Through Triple-Loop Consolidation in a Non-Gradient Dissipative Cognitive Architecture
by: Lou, Jianwei
Published: (2026)

Dynamical Alignment: A Principle for Adaptive Neural Computation
by: Chen, Xia
Published: (2025)

Deep learning in a bilateral brain with hemispheric specialization
by: Rajagopalan, Chandramouli, et al.
Published: (2022)

From Basic Affordances to Symbolic Thought: A Computational Phylogenesis of Biological Intelligence
by: Hummel, John E., et al.
Published: (2025)

Dissecting Larval Zebrafish Hunting using Deep Reinforcement Learning Trained RNN Agents
by: Malik, Raaghav, et al.
Published: (2025)

The Backpropagation Algorithm Implemented on Spiking Neuromorphic Hardware
by: Renner, Alpha, et al.
Published: (2021)

Left/Right Brain, human motor control and the implications for robotics
by: Rinaldo, Jarrad, et al.
Published: (2024)

Structural Plasticity as Active Inference: A Biologically-Inspired Architecture for Homeostatic Control
by: Hill, Brennen A.
Published: (2025)

The Parameters of Educability
by: Valiant, Leslie G.
Published: (2024)

How Metacognitive Architectures Remember Their Own Thoughts: A Systematic Review
by: Nolte, Robin, et al.
Published: (2025)

Hebbian Memory-Augmented Recurrent Networks: Engram Neurons in Deep Learning
by: Szelogowski, Daniel
Published: (2025)

Fine-Pruning: A Biologically Inspired Algorithm for Personalization of Machine Learning Models
by: Bingham, Joseph, et al.
Published: (2026)

Emergence of Self-Awareness in Artificial Systems: A Minimalist Three-Layer Approach to Artificial Consciousness
by: Iida, Kurando
Published: (2025)

Engram Memory Encoding and Retrieval: A Neurocomputational Perspective
by: Szelogowski, Daniel
Published: (2025)

The GAIN Model: A Nature-Inspired Neural Network Framework Based on an Adaptation of the Izhikevich Model
by: Hooper, Gage K. R.
Published: (2025)

"Efficient Complexity": a Constrained Optimization Approach to the Evolution of Natural Intelligence
by: Dolgikh, Serge
Published: (2024)

Controlling Recurrent Neural Networks by Conceptors
by: Jaeger, Herbert
Published: (2014)

A Technical Note on the Architectural Effects on Maximum Dependency Lengths of Recurrent Neural Networks
by: Kent, Jonathan S., et al.
Published: (2024)

The Coordinate System Problem in Persistent Structural Memory for Neural Architectures
by: Basu, Abhinaba
Published: (2026)

Error-related Potential driven Reinforcement Learning for adaptive Brain-Computer Interfaces
by: Fidêncio, Aline Xavier, et al.
Published: (2025)

Vector Symbolic Architectures answer Jackendoff's challenges for cognitive neuroscience
by: Gayler, Ross W.
Published: (2004)

Sparse Autoencoders Map Brain-LLM Alignment onto Cortical Semantic Topography
by: Guo, Dongxin, et al.
Published: (2026)

Examining Reject Relations in Stimulus Equivalence Simulations
by: Carrillo, Alexis, et al.
Published: (2025)

FF-INT8: Efficient Forward-Forward DNN Training on Edge Devices with INT8 Precision
by: Ma, Jingxiao, et al.
Published: (2025)

Enhanced Protein Intrinsic Disorder Prediction Through Dual-View Multiscale Features and Multi-objective Evolutionary Algorithm
by: Wang, Shaokuan, et al.
Published: (2026)

Evolved Developmental Artificial Neural Networks for Multitasking with Advanced Activity Dependence
by: Zhang, Yintong, et al.
Published: (2024)

Mechanistically Interpretable Neural Encoding Reveals Fine-Grained Functional Selectivity in Human Visual Cortex
by: Grosbard, Idan Daniel, et al.
Published: (2026)

The Physical Basis of Prediction: World Model Formation in Neural Organoids via an LLM-Generated Curriculum
by: Hill, Brennen
Published: (2025)

Expanding continual few-shot learning benchmarks to include recognition of specific instances
by: Kowadlo, Gideon, et al.
Published: (2022)

Isotropic Activation Functions Enable Deindividuated Neurons and Adaptive Topologies
by: Bird, George
Published: (2026)

Towards Scaling Deep Neural Networks with Predictive Coding: Theory and Practice
by: Innocenti, Francesco
Published: (2025)

Searching Search Spaces: Meta-evolving a Geometric Encoding for Neural Networks
by: Kunze, Tarek, et al.
Published: (2024)

Pendulum Model of Spiking Neurons
by: Bose, Joy
Published: (2025)

Theoretical Analysis of the Advantage of Deepening Neural Networks
by: Esaki, Yasushi, et al.
Published: (2020)

Evolving Programmatic Skill Networks
by: Shi, Haochen, et al.
Published: (2026)

Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points
by: Lee, Justin, et al.
Published: (2025)

IP$^{2}$-RSNN: Bi-level Intrinsic Plasticity Enables Learning-to-learn in Recurrent Spiking Neural Networks
by: Yu, Yingchao, et al.
Published: (2025)

Adapting to time: Why nature may have evolved a diverse set of neurons
by: Habashy, Karim G., et al.
Published: (2024)

Platonic Representations in the Human Brain: Unsupervised Recovery of Universal Geometry
by: Marcos-Manchón, Pablo, et al.
Published: (2026)

Neural Fields as World Models
by: Nunley, Joshua
Published: (2026)