tarrXiv

Sarch, G, Saha, S, Khandelwal, N, Jain, A, Tarr, MJ, Kumar, A, Fragkiadaki, K (ar𝚾iv) Grounded Reinforcement Learning for Visual Reasoning. ar𝚾iv

Muquan Yu, M, Nan, M, Adeli, H, Prince, JS, Pyles, JA, Wehbe, L, Henderson, MM, Tarr, MJ, Luo, AF (ar𝚾iv) Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex. ar𝚾iv

Zhou, Y, Tarr, MJ, Yurovsky, D (2025) Quantifying the roles of visual, linguistic, and visual-linguistic complexity in noun and verb acquisition. PLOS ONE. 20(5): e0321973. paper

Kasarda, JP, Zhang, A, Tong, H, Tan, Y, Wang, R, Verstynen, T, Tarr, MJ (2025) The Oomplet dataset toolkit as a flexible and extensible system for large-scale, multi-category image generation. Sci Rep 15, 9287. paper

Yeung, J, Luo, A, Sarch GH, Henderson, MM, Ramanan, D,  Tarr, MJ (2025) Reanimating Images using Neural Representations of Dynamic Stimuli. Conference on Computer Vision and Pattern Recognition (CVPR Oral). ar𝚾iv | demo

Henderson, MM, Tarr, MJ, Wehbe, L (2025) Origins of food selectivity in human visual cortex. Trends in Neurosciences. paper

Luo, AF, Yeung, J, Zawar, R, Dewan, S, Henderson, MM, Wehbe, L, Tarr, MJ (2025) Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers. International Conference on Learning Representations (ICLR). arXiv

Sarch, GH, Jang, L, Tarr, MJ, Cohen, WW, Marino, K, Fragkiadaki, K. (2024) VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought. Neural Information Processing Systems (NeurIPS Spotlight), 38. arXiv

Zhou, Y, Liu, E, Neubig, G, Tarr, MJ, Wehbe, L (2024) Divergences between language models and human brains. Neural Information Processing Systems (NeurIPS), 38. arXiv

Chang, N, Ferroni, F, Tarr, MJ, Hebert, M, Ramanan, D (submitted) Thinking like an annotator: Generation of dataset labeling instructions. arXiv

Luo, AF, Wehbe, L, Tarr, MJ, Henderson, MM (submitted) Neural selectivity for real-world object size in natural images. bioRxiv

Sarch, GH, Somani, S, Kapoor, R, Tarr, MJ, Fragkiadaki, K (2024) HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language Models. LLMAgents Workshop at International Conference on Learning Representations (ICLR). arXiv

Luo, AF, Henderson, MM, Tarr, MJ, Wehbe, L (2024) BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity. International Conference on Learning Representations (ICLR). arXiv

Sarch, GH, Wu, Y, Tarr, MJ, Fragkiadaki, K (2023) Open-ended instructable embodied agents with memory-augmented large language models. In Findings of the Association for Computational Linguistics: EMNLP (Empirical Methods in Natural Language Processing), 3468-3500, Singapore. Association for Computational Linguistics. arXiv | demo site

Sarch, GH, Tarr, MJ, Fragkiadaki, K, Wehbe, L (2023) Brain dissection: fMRI-trained networks reveal spatial selectivity in the processing of natural images. Neural Information Processing Systems (NeurIPS), 37. bioRxiv | demo site

Luo, AF, Henderson, MM, Wehbe, L, Tarr, MJ (2023) Brain diffusion for visual exploration: Cortical discovery using large scale generative models. Neural Information Processing Systems (NeurIPS Oral), 37. arXiv

Wang, AY, Kay, K, Naselaris, T, Tarr, MJ, Wehbe, L (2023) Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset. Nat Mach Intell 5, 1415–1426. bioRxiv | paper | supplemental | non-paywalled

Henderson, MM, Tarr, MJ, Wehbe, L (2023) A texture statistics encoding model reveals hierarchical feature selectivity across human visual cortex. J Neurosci., JN-RM-1822-22. Link

Henderson, MM, Tarr, MJ, Wehbe, L (2023) Low-level tuning biases in higher visual cortex reflect the semantic informativeness of visual features. J Vis., 23(8). Link

Jain, N, Wang, A, Henderson, MM, Lin, R, Prince, JS, Tarr, MJ, Wehbe, L (2023) Selectivity for food in human ventral visual cortex. Commun Biol., 6, 175. Link | github

Jinsi, O, Henderson, MM, Tarr, MJ (2023) Why is human vision so poor in early development? The impact of initial sensitivity to low spatial frequencies on visual category learning. PLoS ONE. 18(1): e0280145. Link | github

Luo, A, Du, Y, Tarr, MJ, Tenenbaum, JB, Torralba, A, Gan, G (2022) Learning Neural Acoustic Fields. Neural Information Processing Systems (NeurIPS), 36. Link

Sarch, G, Fang, Z, Harley, A, Schydlo, P, Tarr, MJ, Gupta, S, Fragkiadaki, K (2022) TIDEE: Tidying Up Novel Rooms Using Visuo-Semantic Commonsense Priors. In: Avidan, S., Brostow, G., Cissé, M., Farinella, G.M., Hassner, T. (eds) Computer Vision – ECCV 2022. ECCV 2022. Lecture Notes in Computer Science, 13699. Springer, Cham. Link | demo site

Prince, JS, Charest, I, Kurzawski, JW, Pyles, JA, Tarr, MJ, Kay, KN (2022) Improving the accuracy of single-trial fMRI response estimates using GLMsingle. eLife, 11:e77599. Link

Wang, AY, Lin, R, Tarr, MJ, Wehbe, L (2021) Joint Interpretation of Representations in Neural Networks and the Brain. Brain2AI Workshop ICLR 2021.

Aminoff, EM, Tarr, MJ (2021) Functional Context Affects Scene Processing. J Cogn Neurosci. 33 (5). 933-945. Link

Chang, N, Koushik, J, Tarr, MJ, Hebert, M, & Wang, Y-X (2020). Alpha Net: Adaptation with Composition in Classifier Space. Link

Wang, AY, & Tarr, MJ (2020). Learning Intermediate Features of Object Affordances with a Convolutional Neural Network. CCN arXiv

Chang, N, Pyles, JA, Marcus, A, Gupta, A, Tarr, MJ, & Aminoff, EM (2019). BOLD5000, a public fMRI dataset while viewing 5000 visual images. Scientific Data, 6(1), 49. Link

Wang, A, Tarr, MJ, Wehbe, L (2019). Neural Taskonomy: Inferring the similarity of task-derived representations from brain activity. Advances in Neural Information Processing Systems, 32, Wallach, H., et al., (eds). Link

Yang, Y, Tarr, MJ, Kass, RE, & Aminoff, EM (2019). Exploring spatio-temporal neural dynamics of the human visual cortex. Human Brain Mapping, 40(14). Link

Victoria, LW, Pyles, JA, & Tarr, MJ (2019). The relative contributions of visual and semantic information in the neural representation of object categories. Brain and Behavior, 9(10). Link

Robinson, AK, Venkatesh, P, Boring, MJ, Tarr, MJ, Grover, P, Behrmann, M (2017) Very high density EEG elucidates spatiotemporal aspects of early visual processing. Scientific Reports - Nature, 7(1), 16248. Link

Tarr, MJ, Hayward, WG (2017) The concurrent encoding of viewpoint-dependent and viewpoint-independent information in visual object recognition. Visual Cognition, 25(1-3), 100-121. PDF

Yang, Y, Xu, Y, Jew, CA, Pyles, JA, Kass, RE, & Tarr, MJ (2017). Exploring the spatio-temporal neural basis of face learning. J. of Vision, 17(6). Link

Yang, Y, Aminoff, EM, Tarr, MJ, Kass, RE (2016). A state-space model of cross-region dynamic connectivity in MEG/EEG. Advances in Neural Information Processing Systems, 29, Lee, D. D., et al., (eds). Link

Leeds, DD, & Tarr, MJ (2016). A method for real-time visual stimulus selection in the study of cortical object perception. NeuroImage, 133, 529-548. PDF

Boring, M, Kelly, S, Weldon, J, Tarr, MJ, Robinson, A., Behrmann, M., & Grover, P. (2016). Containing errors in computation for neural sensing: Does a hierarchical referencing strategy lead to energy savings? Proceedings of the 2016 Workshop on Information Theory and its Applications (ITA), San Diego, CA. (non-peer reviewed) Link

Bursley, JK, Nestor, A, Tarr, MJ, & Creswell, JD (2016). Awake, Offline processing during associative learning. PLoS ONE, 11(4). e0127522. Link

Aminoff, EM, & Tarr, MJ (2015). Associative processing is inherent in scene perception. PLoS ONE, 10(6), e0128840. Link

Aminoff, EM, Toneva, M, Shrivastava, A, Chen, X, Misra, I, Gupta, A, & Tarr, MJ (2015). Applying artificial vision models to human scene understanding. Front. Comput. Neurosci., 9. Link       

Nishimura, M, Scherf, KS, Zachariou, V, Tarr, MJ, & Behrmann, M (2015). Size precedes view: Developmental emergence of invariant object representations in lateral occipital complex. Journal of Cognitive Neuroscience, 27(3), 474-491. Link

Yang, Y, Tarr, MJ, & Kass, RE (2014). Estimating learning effects: A short-time Fourier transform regression model for MEG source localization. In Springer Lecture Notes on Artificial Intelligence: MLINI 2014: Machine learning and interpretation in neuroimaging. Link

Leeds, DD, Pyles, JA, & Tarr, MJ (2014). Exploration of complex visual feature spaces for object perception. Front. Comput. Neurosci., 8(106). Link

Leeds, DD, Seibert, DA, Pyles, JA, & Tarr, MJ (2013). Comparing visual representations across human fMRI and computational vision. J. of Vision, 13(13). Link

Xu, Y, D’Lauro, C, Pyles, JA, Kass, RE, Tarr, MJ (2013). Fine-grained temporal coding of visually-similar categories in the ventral visual pathway and prefrontal cortex. Front. Psychol. 4(684). Link

Roos, LE, Lebrecht, S, Tanaka, J, & Tarr, MJ (2013). Can singular examples change implicit racial attitudes in the real-world? Front. Psychol. 4(594). Link

Tarr, MJ (2013). Perception isn’t so simple: Commentary on Bernard, Gervais, Allen, Campomizzi, and Klein (2012). Psychological Science. 24(6), 1069-1070. PDF

Pyles, JA, Verstynen, TD, Schneider, W, & Tarr, MJ (2013). Explicating the face perception network with white-matter connectivity. PLoS ONE, 8(4): e61611. Link

Bukach, CM, Gauthier, I, Tarr, MJ, Kadlec, H, Barth, S, Ryan, E, Turpin, J, & Bub,, DN (2012). Does acquisition of Greeble expertise in prosopagnosia rule out a domain-general deficit? Neuropsychologia, 50(2), 289-304. PDF

Nestor, A, Vettel, JM, & Tarr, MJ (2012). Internal representations for face detection: An application of noise-based image classification to BOLD responses. Human Brain Mapping, 34(11), 3101-3115. Link

Phillips, JS, Greenberg, AS, Pyles, J. A, Pathak, SK, Behrmann, M, Schneider, W, & Tarr, MJ (2012) Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging. J. Vis. Exp. (69). Link

Lebrecht, S, & Tarr, MJ (2012). Can neural signals for visual preference predict real-world choices? BioScience, 62(11), 937-938. Link

Lebrecht, S, Bar, M, Barrett, LF, & Tarr, MJ (2012). Micro-Valences: Affective valence in “neutral” everyday objects. Frontiers in Perception Science, 3(107). Link

Righi, G, Peissig, JJ, &  Tarr, MJ (2012). Recognizing disguised faces. Visual Cognition, 20(2), 143-169. PDF

Jiang, F, Dricot, L, Weber, J, Righi, G, Tarr, MJ, Gobel, R, & Rossion, B (2011) Face categorization in visual scenes may start in a higher order area of the right fusiform gyrus: evidence from dynamic visual stimulation in neuroimaging. Journal of Neurophysiology, 106, 2720-2736. Link

McGugin, R, Tanaka JW, Lebrecht, S, Tarr, MJ, & Gauthier, I (2011) Race-specific perceptual discrimination improvement following short individuation training with faces. Cognitive Science, 35(2), 330-347. Link

Barenholtz, E, & Tarr, MJ (2011). Visual learning of statistical relations among non-adjacent features: Evidence for structural encoding. Visual Cognition, 19(4), 469-482. PDF

Barenholtz, E, &  Tarr, MJ (2009) Figure–ground assignment to a translating contour: A preference for advancing vs. Receding motion. Journal of Vision, 9(5:27), 1-9. Link

Lebrecht, S, Pierce, L, Tarr, MJ, & Tanaka, J (2009) Perceptual other-race training reduces implicit racial bias, PLoS ONE, 4(1), e4215. Link

Nestor, A, Vettel, JM, & Tarr, MJ (2008) Task-Specific codes for face recognition: How they shape the neural representation of features for detection and individuation, PLoS ONE, 3(12), e3978. Link

Nestor, A, & Tarr, MJ (2008) Gender recognition of human faces using color. Psychological Science, 19(12), 1242-1246.

Barenholtz, E., & Tarr, MJ (2008). Visual judgment of similarity across shape transformations: Evidence for a compositional model of articulated objects. Acta Psychologica, 128(2), 331-338.

Nestor, A, & Tarr, MJ (2008) The segmental structure of faces and its use in gender recognition. Journal of Vision, 8(7):7, 1-12. Link

Tarr, MJ, Georghiades, A. S., & Jackson, C. D. (2008). Identifying faces across variations in lighting: Psychophysics and computation. ACM Transactions on Applied Perception, 5(2):10, 1-25.

Ashworth, A. R. S. III, Vuong, Q. C., Rossion, B., & Tarr, MJ (2008). Recognizing rotated faces and Greebles: What properties drive the face inversion effect? Visual Cognition, 16(6), 754-784.

Kung, C-C., Peissig, J. J., & Tarr, MJ  (2007). Is region-of-interest overlap a reliable measure of category specificity? Journal of Cognitive Neuroscience, 19(12), 2019-2034.

Foo, P., Duchon, A., Warren, W. H., & Tarr, MJ (2007). Humans do not switch between path knowledge and landmarks when learning a new environment. Psychological Research/ Psychologische Forschung, 71(3), 240-251.

Bukach, C., Gauthier, I., & Tarr, MJ (2006). Beyond faces and modularity: The power of an expertise framework. TRENDS in Cognitive Sciences, 10(4), 159-166.

Bukach, C. M., Bub, D. N., Gauthier, I., & Tarr, MJ (2006). Perceptual expertise effects are not all or none: Spatially limited perceptual expertise for faces in a case of prosopagnosia. Journal of Cognitive Neuroscience, 18(1), 48-63.

Vuong, Q. C., & Tarr, MJ (2006). Structural similarity and spatiotemporal noise effects on learning dynamic novel objects. Perception, 35, 497-510.

Tarr, MJ (2005). How experience shapes vision, Science Briefs: APA Online.

Behrmann, M., Marotta, J., Gauthier, I., Tarr, MJ, & McKeeff, T. (2005). Behavioral change and its neural correlates in visual agnosia after expertise training. Journal of Cognitive Neuroscience, 17(4), 554-568.

James, T. W., Shima, D. W., Tarr, MJ, & Gauthier, I. G. (2005). Generating complex three-dimensional stimuli (Greebles) for haptic expertise training. Behavior Research Methods, 37(2), 353-358.

Vuong, Q. C., Peissig, J. J., Harrison, M. C., & Tarr, MJ (2005). The role of surface pigmentation for recognition revealed by contrast reversal in faces and objects. Vision Research, 45, 1213-1223.

Foo, P., Warren, W. H., Duchon, A., & Tarr, MJ (2005). Do humans integrate routes into a cognitive map? Map- vs. landmark-based navigation of novel shortcuts. Journal of Experimental Psychology: Learning, Memory, and Cognition, 31(2), 195-215.

Laidlaw, D. H., Kirby, R. M., Jackson, C. D., Davidson, J. S., Miller, T. S., da Silva, M., Warren, W. H., & Tarr, MJ (2005). Comparing 2D vector field visualization methods: A user study. IEEE Transactions on Visualization and Computer Graphics, 11(1), 59-70.

Swann, Jerre, B. & Tarr, MJ (2004). Configuration protection harmonized. The Trademark Reporter®, 94(6), 1182-1201.

Rossion, B., Kung, C-C., & Tarr, MJ (2004). Visual expertise with nonface objects leads to competition with the early perceptual processing of faces in the human occipito-temporal cortex. Proceedings of the National Academy of Sciences, 101(40), 14521-14526.

Gauthier, I., Behrmann, M., & Tarr, MJ (2004). Are Greebles like faces? Using the neuropsychological exception to test the rule. Neuropsychologia, 42(14), 1961-1970.

Vuong, Q. C., & Tarr, MJ (2004). Rotation direction affects object recognition. Vision Research, 44(14), 1717-1730.

Rossion, B., Joyce, C. A., Cottrell, G. W., & Tarr, MJ (2003). Early lateralization and orientation tuning for face, word and object processing in the visual cortex. Neuroimage, 20(3), 1609-1624.

Naor-Raz, G., Tarr, MJ, & Kersten, D. (2003). Is color an intrinsic property of object representation? Perception, 32, 667-680.

Gauthier, I., James, T. W., Curby, K. M., & Tarr, MJ (2003). The influence of conceptual knowledge on visual discrimination. Cognitive Neuropsychology, 20(3/4/5/6), 507-523.

Tarr, MJ, & Cheng, Y. D. (2003). Learning to see faces and objects. TRENDS in Cognitive Sciences, 7(1), 23-30. [Cover Article]

Tarr, MJ, & Warren, WH (2002) Virtual reality in behavioral neuroscience and beyond. Nature Neuroscience Supplement, 5, 1089-1092. PDF

Rossion, B., Gauthier, I., Goffaux, V., & Tarr, MJ, & Crommelinck, M. (2002). Expertise training with novel objects leads to left-lateralized face-like electrophysiological responses. Psychological Science, 13 (3), 250-257.

Gauthier, I., Hayward, W. G., Tarr, MJ, Anderson, A., Skudlarski, P., & Gore, J. C. (2002). BOLD activity during mental rotation and viewpoint-dependent object recognition. Neuron, 34 (1), 161-171. [Cover Article] Link

Gauthier, I., & Tarr, MJ (2002). Unraveling mechanisms for expert object recognition: Bridging brain activity and behavior. Journal of Experimental Psychology: Human Perception and Performance, 28 (2), 431-446.

Kearns, MJ, Warren, W. H., Duchon, A. P., & Tarr, MJ (2002). Path integration from optic flow and body senses in a homing task. Perception, 31(3), 349-374.

Tarr, MJ, & Kriegman, DJ (2001) What defines a view? Vision Research, 41(15), 1981-2004. PDF

Quinn, P. C., Eimas, P. D., & Tarr, MJ (2001). Perceptual categorization of cat and dog silhouettes by 3- to 4-month-old infants. Journal of Experimental Child Psychology, 79, 78-94.

Tarr, MJ, & Gauthier, I (2000) FFA: A Flexible Fusiform Area for subordinate-level visual processing automatized by expertise. Nature Neuroscience, 3(8), 764-769. PDF

Hayward, W. G., & Tarr, MJ (2000). Differing views on views: Comments on Biederman & Bar (1999). Vision Research, 40, 3895-3899.

Gauthier, I., Tarr, MJ, Moylan, J., Anderson, A. W., Skudlarski, P., & Gore, J. C. (2000). The fusiform “face area” is part of a network that processes faces at the individual level. Journal of Cognitive Neuroscience, 12, 495-504. PDF

Gauthier, I., Tarr, MJ, Moylan, J., Anderson, A. W., Skudlarski, P., & Gore, J. C. (2000). Does visual subordinate-level categorisation engage the functionally defined Fusiform Face Area? Cognitive Neuropsychology, Special Issue on Face Recognition (N. Kanwisher & M. Moscovitch, eds.), 17(1/2/3), 143-163.

Rossion, B., Gauthier, I., Tarr, MJ, Despland, P., Bruyer, R, Linotte, S., & Crommelinck, M. (2000). 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. Neuroreport, 11(1), 69-74.

Aginsky, V., & Tarr, MJ (2000). How are different properties of a scene encoded in visual memory? Visual Cognition, 7(1/2/3), 147-162. [Reprinted in Change Blindness and Visual Memory, D. J. Simons (ed.), England: Taylor & Francis Books]

Hayward, W. G., Tarr, MJ, & Corderoy, A. K. (1999). Recognizing silhouettes and shaded images across depth rotations. Perception, 28, 1197-1215.

Tarr, MJ (1999). News on views: Pandemonium revisited. Nature Neuroscience, 2(11), 932-935. [News and Views piece on target article: Riesenhuber & Poggio, Hierarchical models of object recognition in cortex.]

Blanz, V, Tarr, MJ, & Bülthoff, HH (1999). What object attributes determine canonical views? Perception, 28, 575-600. PDF

Williams, P., & Tarr, MJ (1999). Orientation-specific possibility priming for novel three-dimensional objects. Perception & Psychophysics, 61(5), 963-976.

Cutzu, F., & Tarr, MJ (1999). Inferring perceptual saliency fields from viewpoint-dependent recognition data. Neural Computation, 11(6), 1331-1348.

Gauthier, I., Behrmann, M., & Tarr, MJ (1999). Can face recognition really be dissociated from object recognition? Journal of Cognitive Neuroscience, 11(4), 349-370.

Gauthier, I, Tarr, MJ, Anderson, AW, Skudlarski, P, & Gore, JC (1999). Activation of the middle fusiform “face area” increases with expertise in recognizing novel objects. Nature Neuroscience, 2(6), 568-573. PDF

Braje, W. L., Kersten, D., Tarr, MJ, & Troje, N. F. (1998). Illumination effects in face recognition. Psychobiology, 26(4), 371-380.

Tarr, MJ, Williams, P., Hayward, W. G., & Gauthier, I. (1998). Three-dimensional object recognition is viewpoint-dependent. Nature Neuroscience, 1(4), 275-277.

Tarr, MJ, & Bülthoff, H. H. (1998). Image-based object recognition in man, monkey, and machine. Cognition, Special Issue on Image-based Object Recognition (Tarr & Bülthoff, eds.), 67(1/2), 1-20.

Tarr, MJ, & Gauthier, I. (1998). Do viewpoint-dependent mechanisms generalize across members of a class? Cognition, Special Issue on Image-based Object Recognition (Tarr & Bülthoff, eds.), 67(1/2), 71-108. PDF

Tarr, MJ, Kersten, D, Bülthoff, HH (1998). Why the visual system might encode the effects of illumination. Vision Research, Special Issue on Models of Recognition, 38(15/16), 2259-2275. [Cover Article] PDF

Gauthier, I, Williams, P, Tarr, MJ, & Tanaka, J (1998). Training “Greeble” experts: A framework for studying expert object recognition processes. Vision Research, Special Issue on Models of Recognition, 38(15/16), 2401-2428. PDF

Williams, P., Gauthier, I., & Tarr, MJ (1998). Feature learning during the acquisition of perceptual expertise. Behavioral and Brain Sciences, 21(1), 40-41. [Commentary on target article: Schyns, Goldstone, & Thibault, The development of features in object concepts.]

Williams, P., & Tarr, MJ (1997). Structural processing and implicit memory for possible and impossible figures. Journal of Experimental Psychology: Learning, Memory, and Cognition, 23, 1344-1361.

Gauthier, I., Anderson, A. W., Tarr, MJ, Skudlarski, P., & Gore, J. C. (1997). Levels of categorization in visual recognition studied with functional Magnetic Resonance Imaging. Current Biology, 7, 645-651.

Hayward, W. G., & Tarr, MJ (1997). Testing conditions for viewpoint invariance in object recognition. Journal of Experimental Psychology: Human Perception and Performance, 23(5), 1511-1521.

Tarr, MJ, Bülthoff, H. H., Zabinski, M., & Blanz, V. (1997). To what extent do unique parts influence recognition across changes in viewpoint? Psychological Science, 8(4), 282-289.

Gauthier, I, & Tarr, MJ (1997). Becoming a “Greeble” expert: Exploring mechanisms for face recognition. Vision Research, 37(12), 1673-1682. PDF

Gauthier, I., & Tarr, MJ (1997). Orientation priming of novel shapes in the context of viewpoint-dependent recognition. Perception, 26, 51-73. PDF

Cutzu, F., & Tarr, M. J. (1997). The representation of three-dimensional object similarity in human vision. In SPIE Proceedings From Electronic Imaging: Human Vision & Electronic Imaging II. 3016 (pp. 460–471). San Jose, CA: SPIE. PDF

Tarr, MJ, & Bülthoff, HH (1995) Is human object recognition better described by geon-structural-descriptions or by multiple-views? Journal of Experimental Psychology: Human Perception and Performance, 21(6), 1494-1505.

Tarr, MJ (1995). Rotating objects to recognize them: A case study of the role of viewpoint dependency in the recognition of three-dimensional objects. Psychonomic Bulletin and Review, 2, 55-82. PDF

Bülthoff, H. H., Edelman, S. Y., & Tarr, MJ (1995). How are three-dimensional objects represented in the brain? Cerebral Cortex, 5(3), 247-260. PDF

Hayward, WG, & Tarr, MJ (1995) Spatial language and spatial representation. Cognition, 55, 39-84. PDF

Tarr, MJ, & Black, MJ (1994). Reconstruction and Purpose. Computer Vision, Graphics, and Image Processing: Image Understanding, 60(1), 113-118. PDF

Tarr, MJ, & Black, MJ (1994). A computational and evolutionary perspective on the role of representation in vision. Computer Vision, Graphics, and Image Processing: Image Understanding, 60(1), 65-73. PDF

Tarr, MJ (1993). Is a picture really worth a thousand words? Computational Intelligence, 9(4), 356-359.

Tarr, MJ (1993). From perception to cognition. Behavioral and Brain Sciences, 16(2), 251-252. [Commentary on target article: Landau & Jackendoff, “What” and “where” in spatial language and spatial cognition].

Tarr, MJ, & Pinker, S (1991) Orientation-dependent mechanisms in shape recognition: Further issues. Psychological Science, 2(3), 207-209. PDF

Tarr, MJ, & Pinker, S (1990) When does human object recognition use a viewer-centered reference frame? Psychological Science, 1(4), 253-256. PDF

Tarr, MJ, & Pinker, S (1989) Mental rotation and orientation-dependence in shape recognition. Cognitive Psychology, 21(2), 233-282. PDF

Gauthier, I., & Tarr, MJ (2016). Visual object recognition: do we (finally) know more now than we did? In J. A. Movshon & B. Wandell (eds.), Annual Review of Vision Science. Palo Alto, CA: Annual Reviews. pp. 377-396.

Tarr, MJ, & Aminoff, E. M. (2016). Can Big Data Help Us Understand Human Vision? In M. Jones (Ed.), Big Data in Cognitive Science. Taylor & Francis: Psychology Press. 

Aminoff, E. M. & Tarr, MJ (2016). Perception and Cognition. In H. L. Miller (ed.), The SAGE Encyclopedia of Theory in Psychology. Thousand Oaks, CA: SAGE Publications, Inc. pp. 655-658.

Tarr, MJ, Pyles, J. A. (2015). Neural Representations of Objects. In: James D. Wright (editor-in-chief), International Encyclopedia of the Social & Behavioral Sciences, 2nd edition, Vol 16. Oxford: Elsevier. pp. 628–633.

Righi, G., Tarr, MJ, & Kingon, A. (2013). Category-Selective Recruitment of the Fusiform Gyrus with Chess Expertise. In J. Staszewski (Ed.), Expertise and Skill Acquisition: The Impact of William G. Chase (pp. 261-280). New York, NY: Taylor & Francis.

Lebrecht, S. & Tarr, MJ (2011). Blindsight. In Kreutzer, J. S., DeLuca, J., & Caplan, B. (Eds.) Encyclopedia of Clinical Neuropsychology. New York, NY: Springer.

Lebrecht, S. & Tarr, MJ (2011). Achromatopsia. In Kreutzer, J. S., DeLuca, J., & Caplan, B. (Eds.) Encyclopedia of Clinical Neuropsychology. New York, NY: Springer.

Sheinberg, D. & Tarr, MJ (2009). Objects of expertise. In I. Gauthier, MJ Tarr, & D. Bub (Eds.), Perceptual expertise: Bridging brain and behavior. New York, NY: Oxford University Press. Link

Palmeri, T. J., & Tarr, MJ (2008). Visual Object Perception and Long-Term Memory. In S. J. Luck & A. Hollingworth (eds.), Visual Memory, Series: Oxford Series in Visual Cognition (pp. 163-207). Oxford, UK: Oxford University Press.

Barenholtz, E., & Tarr, MJ (2007). Reconsidering the Role of Structure in Vision. In A. Markman, A. & B. Ross (eds.), Categories in Use. Series: The Psychology of Learning and Motivation, Vol. 47 (pp. 157-180). San Diego, CA: Academic Press.

Peissig, J. J., & Tarr, MJ (2007). Visual object recognition: Do we know more now than we did 20 years ago? In S. T. Fiske (ed.), Annual Review of Psychology, 58 (pp. 75-96). Palo Alto, CA: Annual Reviews.

Hayward, W. G., & Tarr, MJ (2005). High-Level Vision. In R. Goldstone & K. Lamberts (eds.), Handbook of Cognition (pp. 48-70). London, UK: Sage Publications.

Tarr, MJ (2003). Visual Object Recognition: Can a Single Mechanism Suffice? In M. A. Peterson & G. Rhodes (eds.), Perception of Faces, Objects, and Scenes: Analytic and Holistic Processes (pp. 177-211). Oxford, UK: Oxford University Press.

Tarr, MJ (2002). Object Recognition. In L. Nadel (ed.) & R. Goldstone (Section ed.), Encyclopedia of Cognitive Science (pp. 490-494). London, UK: Nature Publishing Group/Macmillan Publishers Limited.

Tarr, MJ, & Vuong, Q. C. (2002). Visual Object Recognition. In H. Pashler (Series ed.) & S. Yantis (ed.), Stevens' Handbook of Experimental Psychology: Vol. 1. Sensation and Perception (3rd ed., Vol. 1, pp. 287-314). New York, NY: John Wiley & Sons, Inc.

Viele, K., Kass, R. E., Tarr, MJ, Behrmann, M., Gauthier, I. (2002). Recognition of faces versus Greebles: A case study in model selection. In  C. Gatsonis, R. E. Kass, A. Carriquiry, A. Gelman, D. Higdon, D. K. Pauler, I. Verdinelli (eds.), Case Studies in Bayesian Statistics, vol VI (pp. 91-111). New York, NY: Springer.

Tarr, MJ, & Vuong, Q. C. (2001). Neural Representations of Objects. In N. J. Smelser & P. B. Baltes (eds.), International Encyclopedia of the Social and Behavioral Sciences (pp. 10563-10567). Oxford, UK: Pergamon.

Laidlaw, D. H., Kirby, M., Davidson, J. S., Miller, T., DaSilva, M., Warren, W. H., & Tarr, MJ (2001). Quantitative Comparative Evaluation of 2D Vector Field Visualization Methods. Proceedings of IEEE Visualization 2001, (pp. 143-150). San Diego, CA: IEEE.

Tarr, MJ (2000). Pattern Recognition. In A. Kazdin (ed.), Encyclopedia of Psychology, Washington, DC: American Psychological Association.

Tarr, MJ (1999). Mental Rotation. In R. A. Wilson & F. C. Keil (eds.), The MIT Encyclopedia of the Cognitive Sciences (pp. 531-533). Cambridge, MA: The MIT Press.

Cutzu, F., & Tarr, MJ (1997). The Representation of Three-Dimensional Object Similarity in Human Vision. In SPIE Proceedings from Electronic Imaging: Human Vision and Electronic Imaging II, 3016 (pp. 460-471). San Jose, CA: SPIE.

Tarr, MJ (1994). Visual Representation. In V. S. Ramachandran (Ed.), Encyclopedia of Human Behavior Vol. 4 (pp. 503-512). San Diego: Academic Press.

Dickinson, S. J., Leonardis, A., Schiele, B., & Tarr, MJ (2009). Object categorization: Computer and human vision perspectives. New York, NY: Cambridge University Press.

Gauthier, I., Tarr, MJ, & Bub, D. (2009). Perceptual expertise: Bridging brain and behavior. New York, NY: Oxford University Press.

Wagemans, J., Tarr, MJ, & Hummel, J. E. (eds.) (1999). Acta Psychologica, Special issue on Visual Object Perception, 102 (2/3).

Tarr, MJ, & Bülthoff, H. H. (eds.) (1998). Image-based object recognition in man, monkey, and machine. Cognition, Special Issue on Image-based Object Recognition, 67 (1/2). Published as a book, 1998 “Object recognition in man, monkey, and machine,” Cambridge, MA: The MIT Press.

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