Buchumschlag

Generalizability analysis of deep learning predictions of human brain responses to augmented and semantically novel visual stimuli

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Piskovskyi, Valentyn, Chimisso, Riccardo, Patania, Sabrina, Foulsham, Tom, Vizzari, Giuseppe, Ognibene, Dimitri
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computer Vision and Pattern Recognition Artificial Intelligence Human-Computer Interaction
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Who Sees What? Structured Thought-Action Sequences for Epistemic Reasoning in LLMs
von: Annese, Luca, et al.
Veröffentlicht: (2025)

SCOOP: A Framework for Proactive Collaboration and Social Continual Learning through Natural Language Interaction andCausal Reasoning
von: Ognibene, Dimitri, et al.
Veröffentlicht: (2025)

Growing Perspectives: Modelling Embodied Perspective Taking and Inner Narrative Development Using Large Language Models
von: Patania, Sabrina, et al.
Veröffentlicht: (2025)

Why am I seeing this? Towards recognizing social media recommender systems with missing recommendations
von: Guidotti, Sabrina, et al.
Veröffentlicht: (2025)

AI Pedagogy: Dialogic Social Learning for Artificial Agents
von: Patania, Sabrina, et al.
Veröffentlicht: (2025)

PerspAct: Enhancing LLM Situated Collaboration Skills through Perspective Taking and Active Vision
von: Patania, Sabrina, et al.
Veröffentlicht: (2025)

Balancing Benefits and Risks: RL Approaches for Addiction-Aware Social Media Recommenders
von: Bolis, Luca, et al.
Veröffentlicht: (2025)

The Hidden Cost of Contextual Sycophancy: an AI Literacy Intervention in Human-AI Collaboration
von: Koyuturk, Cansu, et al.
Veröffentlicht: (2026)

Combining Deep Architectures for Information Gain estimation and Reinforcement Learning for multiagent field exploration
von: Masiero, Emanuele, et al.
Veröffentlicht: (2025)

One to rule them all: natural language to bind communication, perception and action
von: Colombani, Simone, et al.
Veröffentlicht: (2024)

Learning mental states estimation through self-observation: a developmental synergy between intentions and beliefs representations in a deep-learning model of Theory of Mind
von: Bianco, Francesca, et al.
Veröffentlicht: (2024)

Time is on my sight: scene graph filtering for dynamic environment perception in an LLM-driven robot
von: Colombani, Simone, et al.
Veröffentlicht: (2024)

Unimib Assistant: designing a student-friendly RAG-based chatbot for all their needs
von: Antico, Chiara, et al.
Veröffentlicht: (2024)

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

Functions of a quiet and un-quiet eye in natural tasks – comment on Vickers
von: Tom Foulsham
Veröffentlicht: (2016)

A quantitative analysis of semantic information in deep representations of text and images
von: Acevedo, Santiago, et al.
Veröffentlicht: (2025)

Understanding Learner-LLM Chatbot Interactions and the Impact of Prompting Guidelines
von: Koyuturk, Cansu, et al.
Veröffentlicht: (2025)

Synchronization and semantization in deep spiking networks
von: Oberste-Frielinghaus, Jonas, et al.
Veröffentlicht: (2025)

Habit Coach: Customising RAG-based chatbots to support behavior change
von: Arabi, Arian Fooroogh Mand, et al.
Veröffentlicht: (2024)

A multi-temporal multi-spectral attention-augmented deep convolution neural network with contrastive learning for crop yield prediction
von: Dangi, Shalini, et al.
Veröffentlicht: (2025)

Unsupervised deep learning for semantic segmentation of multispectral LiDAR forest point clouds
von: Ruoppa, Lassi, et al.
Veröffentlicht: (2025)

Grounded learning for compositional vector semantics
von: Lewis, Martha
Veröffentlicht: (2024)

Self-supervised learning for radio-astronomy source classification: a benchmark
von: Cecconello, Thomas, et al.
Veröffentlicht: (2024)

Length-scale study in deep learning prediction for non-small cell lung cancer brain metastasis
von: Zhou, Haowen, et al.
Veröffentlicht: (2024)

A computational approach to visual ecology with deep reinforcement learning
von: Sokoloski, Sacha, et al.
Veröffentlicht: (2024)

A generalised pre-training strategy for deep learning networks in semantic segmentation of remotely sensed images
von: Fang, Yuan, et al.
Veröffentlicht: (2026)

A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation
von: Sarker, Sushmita, et al.
Veröffentlicht: (2024)

Diabetes detection using deep learning techniques with oversampling and feature augmentation
von: García-Ordás, María Teresa, et al.
Veröffentlicht: (2024)

Three-dimensional end-to-end deep learning for brain MRI analysis
von: Juglan, Radhika, et al.
Veröffentlicht: (2025)

Multi-modal brain encoding models for multi-modal stimuli
von: Oota, Subba Reddy, et al.
Veröffentlicht: (2025)

Quantifying the human visual exposome with vision language models
von: Rominger, Christian, et al.
Veröffentlicht: (2026)

Enhancing nuclear cross-section predictions with deep learning: the DINo algorithm
von: Gesson, Levana, et al.
Veröffentlicht: (2025)

Pull-off force prediction in viscoelastic adhesive Hertzian contact by physics augmented machine learning
von: Maghami, Ali, et al.
Veröffentlicht: (2025)

A semantic embedding space based on large language models for modelling human beliefs
von: Lee, Byunghwee, et al.
Veröffentlicht: (2024)

3D forest semantic segmentation using multispectral LiDAR and 3D deep learning
von: Takhtkeshha, Narges, et al.
Veröffentlicht: (2025)

Brain-aligning of semantic vectors improves neural decoding of visual stimuli
von: Vafaei, Shirin, et al.
Veröffentlicht: (2024)

Task-conditioned probing of instruction-tuned multimodal LLMs: Region-specific brain alignment patterns under naturalistic stimuli
von: Oota, Subba Reddy, et al.
Veröffentlicht: (2025)

UniAR: A Unified model for predicting human Attention and Responses on visual content
von: Li, Peizhao, et al.
Veröffentlicht: (2023)

Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligence
von: Karjus, Andres
Veröffentlicht: (2023)

Performance of GAN-based augmentation for deep learning COVID-19 image classification
von: Fedoruk, Oleksandr, et al.
Veröffentlicht: (2023)