Tarr, Michael J.

The fusiform “face area” is part of a network that processes faces at the individual level

Gauthier, I., Tarr, M. J., Moylan, J., Skudlarski, P., Gore, J. C., & Anderson, A. W. (2000) · Journal of Cognitive Neuroscience

Face Recognition and PerceptionVisual perception and processing mechanisms

Cited by 859

The N170 occipito-temporal component is delayed and enhanced to inverted faces but not to inverted objects: an electrophysiological account of face-specific processes in the human brain

Rossion, B., Gauthier, I., Tarr, M. J., Despland, P., Bruyer, R., Linotte, S., & Crommelinck, M. (2000) · Neuroreport

Face Recognition and PerceptionFace recognition and analysis

Cited by 738

Do Humans Integrate Routes Into a Cognitive Map? Map- Versus Landmark-Based Navigation of Novel Shortcuts.

Foo, P., Warren, W. H., Duchon, A., & Tarr, M. J. (2005) · Journal of Experimental Psychology: Learning, Memory, and Cognition

Spatial Cognition and NavigationMemory and Neural Mechanisms

Cited by 406

Micro-valences: perceiving affective valence in everyday objects

Lebrecht, S., Bar, M., Barrett, L. F., & Tarr, M. J. (2012) · Frontiers in Psychology

Visual perception and processing mechanismsAesthetic Perception and Analysis

Cited by 211

Improving the accuracy of single-trial fMRI response estimates using GLMsingle

Prince, J. S., Charest, I., Kurzawski, J. W., Pyles, J. A., Tarr, M. J., & Kay, K. N. (2022) · eLife

Advanced MRI Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 174

Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models

Sarch, G., Wu, Y., Tarr, M., & Fragkiadaki, K. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Robot Manipulation and LearningSpeech and dialogue systems

Cited by 25

VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought

Sarch, G., Jang, L., Tarr, M. J., Cohen, W. W., Marino, K., & Fragkiadaki, K. (2024) · arXiv

Multimodal Machine Learning ApplicationsAI-based Problem Solving and Planning

Cited by 6

HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language Models

Sarch, G., Somani, S., Kapoor, R., Tarr, M. J., & Fragkiadaki, K. (2024) · arXiv

Robot Manipulation and LearningMultimodal Machine Learning Applications

Cited by 0

Grounded Reinforcement Learning for Visual Reasoning

Sarch, G., Saha, S., Khandelwal, N., Jain, A., Tarr, M. J., Kumar, A., & Fragkiadaki, K. (2025) · arXiv

Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection

Cited by 0