Cover Image

Explaining Human Choice Probabilities with Simple Vector Representations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	DiBerardino, Peter, Anderson, Britt
Format:	Preprint
Published:	2025
Subjects:	Neurons and Cognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Bayesian Origin of the Probability Weighting Function in Human Representation of Probabilities
by: Tong, Xin, et al.
Published: (2025)

From Priors to Predictions: Explaining and Visualizing Human Reasoning in a Graph Neural Network Framework
by: Do, Quan, et al.
Published: (2025)

Wanting to Be Understood Explains the Meta-Problem of Consciousness
by: Fernando, Chrisantha, et al.
Published: (2025)

Explanations of Large Language Models Explain Language Representations in the Brain
by: Rahimi, Maryam, et al.
Published: (2025)

Artificial Consciousness as Interface Representation
by: Prentner, Robert
Published: (2025)

Artificial Human Intelligence: The role of Humans in the Development of Next Generation AI
by: Arslan, Suayb S.
Published: (2024)

Scale-Invariance Drives Convergence in AI and Brain Representations
by: Yu, Junjie, et al.
Published: (2025)

The Principles of Human-like Conscious Machine
by: Li, Fangfang, et al.
Published: (2025)

Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory
by: Varona, Miguel de Llanza, et al.
Published: (2024)

Semi-supervised Multimodal Representation Learning through a Global Workspace
by: Devillers, Benjamin, et al.
Published: (2023)

Feature Integration Spaces: Joint Training Reveals Dual Encoding in Neural Network Representations
by: Claflin, Omar
Published: (2025)

The DIME Architecture: A Unified Operational Algorithm for Neural Representation, Dynamics, Control and Integration
by: Vladu, Ionel Cristian, et al.
Published: (2026)

CRCC: Contrast-Based Robust Cross-Subject and Cross-Site Representation Learning for EEG
by: Wong, Xiaobin, et al.
Published: (2026)

Expectation and Acoustic Neural Network Representations Enhance Music Identification from Brain Activity
by: Noguchi, Shogo, et al.
Published: (2026)

Manifolds and Modules: How Function Develops in a Neural Foundation Model
by: Bertram, Johannes, et al.
Published: (2025)

RTify: Aligning Deep Neural Networks with Human Behavioral Decisions
by: Cheng, Yu-Ang, et al.
Published: (2024)

"Just in Time" World Modeling Supports Human Planning and Reasoning
by: Chen, Tony, et al.
Published: (2026)

Human-Like Geometric Abstraction in Large Pre-trained Neural Networks
by: Campbell, Declan, et al.
Published: (2024)

Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability
by: Kuo, Po-Chen, et al.
Published: (2025)

Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts
by: Kapoor, Chaitanya, et al.
Published: (2025)

A Reservoir-based Model for Human-like Perception of Complex Rhythm Pattern
by: Yuan, Zhongju, et al.
Published: (2025)

BAN: Neuroanatomical Aligning in Auditory Recognition between Artificial Neural Network and Human Cortex
by: Wang, Haidong, et al.
Published: (2025)

A Fuzzy-based Approach to Predict Human Interaction by Functional Near-Infrared Spectroscopy
by: Jiang, Xiaowei, et al.
Published: (2024)

Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners
by: Csaba, Botos, et al.
Published: (2026)

Learning Human-Aligned Representations with Contrastive Learning and Generative Similarity
by: Marjieh, Raja, et al.
Published: (2024)

Convergent Representations of Linguistic Constructions in Human and Artificial Neural Systems
by: Ramezani, Pegah, et al.
Published: (2026)

Dynamic Functional Connectivity Features for Brain State Classification: Insights from the Human Connectome Project
by: Kirova, Valeriya, et al.
Published: (2025)

Towards Neurocognitive-Inspired Intelligence: From AI's Structural Mimicry to Human-Like Functional Cognition
by: Golilarz, Noorbakhsh Amiri, et al.
Published: (2025)

Pragmatic information of aesthetic appraisal
by: Graben, Peter beim
Published: (2024)

Systems Explaining Systems: A Framework for Intelligence and Consciousness
by: Semmler, Sean Niklas
Published: (2026)

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test
by: Hao, Guangfu, et al.
Published: (2025)

Understanding Human Limits in Pattern Recognition: A Computational Model of Sequential Reasoning in Rock, Paper, Scissors
by: Cross, Logan, et al.
Published: (2025)

Rewiring Human Brain Networks via Lightweight Dynamic Connectivity Framework: An EEG-Based Stress Validation
by: Acharya, Sayantan, et al.
Published: (2025)

Exploring Human Behavior During Abstract Rule Inference and Problem Solving with the Cognitive Abstraction and Reasoning Corpus
by: Ahn, Caroline, et al.
Published: (2026)

Simulating Human Cognition: Heartbeat-Driven Autonomous Thinking Activity Scheduling for LLM-based AI systems
by: Su, Hong
Published: (2026)

Allostatic Control of Persistent States in Spiking Neural Networks for perception and computation
by: Htet, Aung, et al.
Published: (2025)

Challenges in Grounding Language in the Real World
by: Lindes, Peter, et al.
Published: (2025)

BaRISTA: Brain Scale Informed Spatiotemporal Representation of Human Intracranial Neural Activity
by: Oganesian, Lucine L., et al.
Published: (2025)

TAVAE: A VAE with Adaptable Priors Explains Contextual Modulation in the Visual Cortex
by: Meszéna, Balázs, et al.
Published: (2026)

Identifying Influential nodes in Brain Networks via Self-Supervised Graph-Transformer
by: Kang, Yanqing, et al.
Published: (2024)