Cover Image

Dimensions of Vulnerability in Visual Working Memory: An AI-Driven Approach to Perceptual Comparison

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cao, Yuang, Zou, Jiachen, Wei, Chen, Liu, Quanying
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

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

GATE: Adaptive Learning with Working Memory by Information Gating in Multi-lamellar Hippocampal Formation
by: Liu, Yuechen, et al.
Published: (2025)

Uncovering cognitive taskonomy through transfer learning in masked autoencoder-based fMRI reconstruction
by: Qu, Youzhi, et al.
Published: (2024)

A Miniature Brain Transformer: Thalamic Gating, Hippocampal Lateralization, Amygdaloid Salience, and Prefrontal Working Memory in Attention-Coupled Latent Memory
by: Jeong, Hong
Published: (2026)

REMI: Reconstructing Episodic Memory During Internally Driven Path Planning
by: Wang, Zhaoze, et al.
Published: (2025)

A Feature-based Generalizable Prediction Model for Both Perceptual and Abstract Reasoning
by: Do, Quan, et al.
Published: (2024)

Dynamical Mechanisms for Coordinating Long-term Working Memory Based on the Precision of Spike-timing in Cortical Neurons
by: Sejnowski, Terrence J.
Published: (2025)

Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing
by: Zhang, Qingzhu, et al.
Published: (2025)

RealMind: Advancing Visual Decoding and Language Interaction via EEG Signals
by: Li, Dongyang, et al.
Published: (2024)

CoCoG: Controllable Visual Stimuli Generation based on Human Concept Representations
by: Wei, Chen, et al.
Published: (2024)

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

Working Memory Capacity of ChatGPT: An Empirical Study
by: Gong, Dongyu, et al.
Published: (2023)

Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion
by: Li, Dongyang, et al.
Published: (2024)

Self-Attention Limits Working Memory Capacity of Transformer-Based Models
by: Gong, Dongyu, et al.
Published: (2024)

Bridging Minds and Machines: Toward an Integration of AI and Cognitive Science
by: Mao, Rui, et al.
Published: (2025)

Inhibitory Cross-Talk Enables Functional Lateralization in Attention-Coupled Latent Memory
by: Jeong, Hong
Published: (2026)

A Biologically Interpretable Cognitive Architecture for Online Structuring of Episodic Memories into Cognitive Maps
by: Dzhivelikian, E. A., et al.
Published: (2025)

D-MEM: Dopamine-Gated Agentic Memory via Reward Prediction Error Routing
by: Song, Yuru, et al.
Published: (2026)

CTM-AI: A Blueprint for General AI Inspired by a Model of Consciousness
by: Yu, Haofei, et al.
Published: (2026)

BrainCSD: A Hierarchical Consistency-Driven MoE Foundation Model for Unified Connectome Synthesis and Multitask Brain Trait Prediction
by: Shen, Xiongri, et al.
Published: (2025)

The Cartesian Cut in Agentic AI
by: Sainburg, Tim, et al.
Published: (2026)

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

Unable to Forget: Proactive Interference Reveals Working Memory Limits in LLMs Beyond Context Length
by: Wang, Chupei, et al.
Published: (2025)

Deep Jansen-Rit Parameter Inference for Model-Driven Analysis of Brain Activity
by: Tilwani, Deepa, et al.
Published: (2024)

From generative AI to the brain: five takeaways
by: Gros, Claudius
Published: (2025)

Shifting Attention to You: Personalized Brain-Inspired AI Models
by: Zhao, Stephen Chong, 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)

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

Morality in AI. A plea to embed morality in LLM architectures and frameworks
by: Bombaerts, Gunter, et al.
Published: (2025)

From Prediction to Understanding: Will AI Foundation Models Transform Brain Science?
by: Serre, Thomas, et al.
Published: (2025)

A Case for AI Consciousness: Language Agents and Global Workspace Theory
by: Goldstein, Simon, et al.
Published: (2024)

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

DCA: Graph-Guided Deep Embedding Clustering for Brain Atlases
by: Wang, Mo, et al.
Published: (2025)

Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer
by: Saxena, Rajat, et al.
Published: (2024)

CoCoG-2: Controllable generation of visual stimuli for understanding human concept representation
by: Wei, Chen, et al.
Published: (2024)

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

Adaptive Intelligence: leveraging insights from adaptive behavior in animals to build flexible AI systems
by: Mathis, Mackenzie Weygandt
Published: (2024)

Impact of Neuron Models on Spiking Neural Networks performance. A Complexity Based Classification Approach
by: Rudnicka, Zofia, et al.
Published: (2025)

From DDMs to DNNs: Using process data and models of decision-making to improve human-AI interactions
by: Gopnarayan, Mrugsen Nagsen, et al.
Published: (2023)

Neuropsychology of AI: Relationship Between Activation Proximity and Categorical Proximity Within Neural Categories of Synthetic Cognition
by: Pichat, Michael, et al.
Published: (2024)