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Pandey, L., Lee, D., Wood, S. M. W. & Wood, J.N. (in press). Parallel development of object recognition in newborn chicks and deep neural networks. PloS Computational Biology.
Pandey P., Wood, S. M. W., & Wood, J. N. (in press). Common visual learning constraints in transformers and newborn brains: 38th Conference on Neural Information Processing Systems (NeurIPS) Workshop: NeuroAI.
McGraw, J., Lee, D., & Wood, J.N. (in press). Parallel development of social behavior in biological and artificial fish. Nature Communications.
Wood, J.N., Pandey, L., & Wood, S. M. W. (2024). Digital twin studies for reverse engineering the origins of visual intelligence. Annual Review of Vision Science, 10,145–70. https://doi.org/10.1146/annurev-vision-101322-103628
Wood, J.N. (2024). Artificial intelligence tackles the nature–nurture debate. Nature Machine Intelligence 6, 381–382. https://doi.org/10.1038/s42256-024-00828-4
Garimella, M., Pak, D., Wood, J.N., & Wood, S.M.W. (2024). A newborn embodied Turing test for comparing object segmentation across animals and machines. 12th International Conference on Learning Representations (ICLR).
Wood, J.N., Ullman, T., Wood., B.W., Spelke, E.S., & Wood S.M.W. (2024). Object permanence in newborn chicks is robust against opposing evidence. arXiv. arXiv:2402.14641
Wood, J.N. & Wood, S.M.W. (2024). The development of object recognition requires experience with the surface features of objects. Animals, 14, 284. doi.org/10.3390/ani14020284
Pandey, L., Wood, S.M.W. & Wood, J.N. (2023). Are vision transformers more data hungry than newborn visual systems? 37th Conference on Neural Information Processing Systems (NeurIPS).
Sheybani, S., Hansaria, S., Wood, J. N., & Smith, L. B., Tiganj, Z. (2023). Curriculum learning with infant egocentric videos. 37th Conference on Neural Information Processing Systems (NeurIPS). *Spotlight Presentation
Lee, D., Wood, S.M.W., & Wood, J.N. (2023). Imprinting in autonomous artificial agents using deep reinforcement learning. 37th Conference on Neural Information Processing Systems (NeurIPS) Workshop: Intrinsically Motivated Open-Ended Learning.
Sheybani, S., Tiganj, Z., Wood, J.N., & Smith, L. B. (2023). Slow change: An analysis of infant egocentric visual experience. Journal of Vision, 23(9), 4685-4685.
Pak, D., Lee, D., Wood, S. M. W., & Wood, J. N. (2023). A newborn embodied Turing test for view-invariant object recognition. Paper published in Proceedings of the 44th Annual Conference of the Cognitive Science Society. https://arxiv.org/abs/2306.05582
McGraw, J., Lee, D., & Wood, J. W. (2023). Parallel development of social preferences in fish and machines. Paper published in Proceedings of the 44th Annual Conference of the Cognitive Science Society. https://arxiv.org/abs/2305.11137
Lee, D., Gujarathi, P., & Wood, J.N. (2021). Controlled-rearing studies of newborn chicks and deep neural networks. NeurIPS: Shared Visual Representations in Human and Machine Intelligence Workshop. arXiv:2112.06106. *Best Paper Award: “Diversity in AI Award”
Lee, D., Wood, S.M.W., & Wood, J.N. (2021). Development of collective behavior in newborn artificial agents. arXiv:2111.03796.
Wood, S. M. W. & Wood, J. N. (2021). Distorting face representations in newborn brains. Cognitive Science, 45(8):e13021. doi: 10.1111/cogs.13021.
Lee, D., Pak, D., & Wood, J. W. (2021). Modeling object recognition in newborn chicks using deep neural networks. Paper published in Proceedings of the 43th Annual Conference of the Cognitive Science Society. arXiv:2106.07185. *22% oral acceptance rate
Wood, S. M. W. & Wood, J. N. (2021). One-shot object parsing in newborn chicks. Journal of Experimental Psychology: General, 150(11), 2408–2420. https://doi.org/10.1037/xge0001043
Urgolites, Z, J., Brady, T. F., Wood, J. N. (2020). Verbal interference suppresses object-scene binding in visual long-term memory.” PsyArXiv. doi:10.31234/osf.io.
Wood, J. N., Lee, D., Wood, B. W., Wood, S. M. W. (2020). Reverse engineering the origins of visual intelligence. Proceedings of the 42th Annual Conference of the Cognitive Science Society.
Wood, J. N. & Wood, S. M. W. (2020). One-shot learning of view-invariant object representations in newborn chicks. Cognition, 104192. doi.org/10.1016/j.cognition.2020.104192
Wood, S. M. W, Johnson, S. & Wood, J. N. (2019). Automated study challenges the existence of a foundational statistical learning ability in newborn chicks. Psychological Science. doi.org/10.1177/0956797619868998
Wood, S. M. W. & Wood, J. N. (2019). Using automation to combat the replication crisis: A case study from controlled-rearing studies of newborn chicks. Infant Behavior & Development, 57,. 101329. doi.org/10.1016/j.infbeh.2019.101329
Prasad, A., Wood, S. M. W., & Wood, J. N. (2019). Using automated controlled rearing to explore the origins of object permanence. Developmental Science. doi: 10.1111/desc.12796
Cai, Y., Urgolites, Z., Wood, J. N., Chen, C., Li, S., Chen, A., & Xue, G. (2018). Distinct neural substrates for visual short-term memory of actions. Human Brain Mapping, 39(10), 4119-4133. doi: 10.1002/hbm.24236.
Wood, J. N. & Wood, S. M. W. (2018). The development of invariant object recognition requires visual experience with temporally smooth objects. Cognitive Science, 1-16. doi: 10.1111/cogs.12595
Wood, J. N. (2017). Spontaneous preference for slowly moving objects in visually naïve animals. Open Mind: Discoveries in Cognitive Science, 1(2), 111-122. doi: 10.1162/OPMI_a_00012
Wood, J. N., & Wood, S. M. W. (2017). Measuring the speed of newborn object recognition in controlled visual worlds. Developmental Science. doi: 10.1111/desc.12470
Wood, J. N. (2016). A smoothness constraint on the development of object recognition. Cognition, 153, 140-145.
Wood, J. N. & Wood, S. M. W. (2106). The development of newborn object recognition in fast and slow visual worlds. Proceedings of the Royal Society: Biological Sciences. 283 (1829) http://dx.doi.org/10.1098/rspb.2016.0166
Wood, J. N., Prasad, A., Goldman, J. G., & Wood, S. M. W. (2016). Enhanced learning of natural visual sequences in newborn chicks. Animal Cognition. 19(4), 835-845
Wood, S. M. W., & Wood, J. N. (2015). Newly hatched chicks recognize faces at the onset of vision. Journal of Experimental Psychology: Animal Learning & Cognition, 41(2), 206-215.
Wood, S. M. W., & Wood, J. N. (2015). A chicken model for studying the emergence of invariant object recognition. Frontiers in Neural Circuits. 9(7), 1-12.
Goldman, J. G., & Wood, J. N. (2015). An automated controlled-rearing method for studying the origins of movement recognition. Animal Cognition, 18, 723–731.
Wood, J. N. (2015). Characterizing the information content of a newly hatched chick’s first visual object representation. Developmental Science, 18(2), 194-205.
Wood, J. N. (2014). Newly hatched chicks solve the visual binding problem. Psychological Science, 25, 1475-1481.
Wood., J. N. (2013). Newborn chickens generate invariant object representations at the onset of visual object experience. Proceedings of the National Academy of Sciences.
Urgolites, Z. J. & Wood, J. N. (2013). Binding actions and scenes in visual long-term memory. Psychonomic Bulletin & Review. DOI 10.3758/s13423-013-0440-1.
Urgolites, Z. J. & Wood, J. N. (2013). Visual long-term memory stores high fidelity representations of observed actions. Psychological Science, 24(4), 403-411.
Endress, A., & Wood, J.N. (2011). From movements to actions: Two mechanisms for learning action sequences. Cognitive Psychology, 63, 141-171.
Hyde, D., & Wood, J. N. (2011). Spatial attention determines the nature of non-verbal numerical cognition. Journal of Cognitive Neuroscience, 23(9), 2336-2351.
Wood, J. N. (2011). A core knowledge architecture of visual working memory. Journal of Experimental Psychology: Human Perception and Performance, 37(2), 357-381.
Wood, J. N. (2011). When do spatial and visual working memory interact? Attention, Perception, and Psychophysics, 73,420-439.
Wood, J.N. & Hauser, M. D. (2011). Replication of ‘The perception of rational, goal-directed action in nonhuman primates’. Science. DOI: 10.1126/science.1202596 (Addendum/Correction).
Hauser, M. D., & Wood, J. N. (2011). Replication of ‘Rhesus monkeys correctly read the goal-relevant gestures of a human agent’. Proceedings of the Royal Society, B. DOI: 10.1098/rspb.2010.1441. (Addendum/Correction).
Wood, J. N. (2010). Visual working memory retains movement information within an allocentric reference frame. Visual Cognition, 18(10), 1464-1485.
Hauser, M. D., & Wood, J. N. (2010). Evolving the capacity to understand actions, intentions and goals. Annual Review of Psychology (61), 303-324.
Wood, J. N. (2009). Distinct visual working memory systems for view-dependent and view-invariant representation. PLoS ONE, 4(8): e6601. DOI: 10.1371/journal.pone.0006601.
Wood, J. N., Kouider, S., & Carey, S. (2009). Acquisition of Singular-plural Morphology. Developmental Psychology, 45(1),202-206.
Wood, J. N., & Hauser, M. D. (2008). Action comprehension in nonhuman primates: Motor simulation or inferential reasoning? Trends in Cognitive Sciences, 12(12), 461-465.
Wood, J. N. (2008). Visual memory for agents and their actions. Cognition, 108, 522-532.
Barner, D., Wood, J. N., Hauser, M. D., & Carey, S. (2008). Evidence for a non-linguistic distinction between singular and plural sets in rhesus monkeys. Cognition, 107, 603-622.
Wood, J. N., Glynn, D. D. & Hauser, M. D. (2008). Rhesus Monkeys’ Understanding of Actions and Goals. Social Neuroscience, 3(1), 60-68.
Wood, J. N., Hauser, M. D., Glynn, D. D., & Barner, D. (2008). Free-ranging rhesus monkeys spontaneously individuate and enumerate small numbers of non-solid portions. Cognition, 106, 207-221.
Wood, J. N. (2007). Visual working memory for observed actions. Journal of Experimental Psychology: General, 136(4),639-652. Note: Paper received Young Investigator Award From APA
Wood, J. N., Glynn, D. D., Philips, B., & Hauser, M. D. (2007). The perception of rational, goal-directed action in non-human primates. Science, 317(5843), 1402-1405.
Wood, J. N., Glynn, D. D., & Hauser, M. D. (2007). The uniquely human capacity to throw evolved from a non-throwing primate: An evolutionary dissociation between action and perception. Biology Letters, 3(4), 360-364.
Hauser, M. D., Glynn, D. D., & Wood, J. N. (2007). Rhesus monkeys correctly read the goal-relevant gestures of a human agent. Proceedings of the Royal Society, B. 274(1620), 1913-1918.
Stevens, J., Wood, J. N., & Hauser, M. D. (2007). When quantity trumps number: discrimination experiments in cotton-top tamarins (Saguinas oedipus) and common marmosets (Callithrix jacchus). Animal Cognition, 10, 429-437.
Barner, D., Thalwitz, D., Wood, J., Yang, S., & Carey, S. (2007). On the relation between the acquisition of singular–plural morpho-syntax and the conceptual distinction between one and more than one. Developmental Science, 10(7), 365-373.
Kouider, S., Halberda, J., Wood, J. N., & Carey, S. (2006). Acquisition of English number marking: The singular-plural distinction. Language Learning and Development, 2(1), 1-25.
Wood, J. N., & Spelke, E. S. (2005). Chronometric studies of numerical cognition in five-month-old infants. Cognition, 97,23-39.
Wood, J. N., & Spelke, E. S. (2005). Infants’ enumeration of actions: numerical discrimination and its signature limits. Developmental Science, 8(2), 173-181.
