Computational Cognitive Science, Machine Learning, Artificial Intelligence

Analogy as Nonparametric Bayesian Inference over Relational Systems (Battleday and Griffiths; In Proceedings for the Annual Meeting of the Cognitive Science Society 2020: https://arxiv.org/abs/2006.04156)

Human uncertainty improves generalization and robustness for natural image classification (Battleday*, Peterson*, Russakovsky, and Griffiths; NeurIPS SVRHM, Vancouver 2019)

Deep prototype models and human image classification (Singh, Peterson, Battleday, and Griffiths; NeurIPS SVRHM and WIML, Vancouver 2019)

Human uncertainty makes classification more robust (Peterson*, Battleday*, Griffiths, and Russakovsky; International Conference on Computer Vision (ICCV), Seoul 2019: https://arxiv.org/abs/1908.07086)

Transforming deep feature representations to better capture human categorization behavior (Battleday, Peterson, and Griffiths; Computational Cognitive Neuroscience, Philadelphia 2018)

Modeling human categorization of natural images using deep feature representations (Battleday, Peterson, and Griffiths; CogSci 2017)

Neuroscience and Medicine

Lifelong learning and relational generalization (Battleday; International Workshop on Biocomputation, Queensland University of Technology, Brisbane 2019)

Modafinil for neuroenhancement in healthy non-sleep deprived subjects: a systematic review of cognitive effects (Battleday and Brem; Eur. Neuropsychopharmacol. 171. 2016: https://www.ncbi.nlm.nih.gov/pubmed/26381811)

Mapping the mechanisms of transcranial alternating current stimulation: a pathway from network effects to cognition (Battleday, Muller, Clayton, and Cohen Kadosh; Frontiers in Psychiatry, 5(162) 2014: https://www.ncbi.nlm.nih.gov/pubmed/25477826)

Modafinil – the ‘smart drug’ leading the charge towards a future of neuroenhancement (Battleday and Brem; The Conversation: https://theconversation.com/modafinil-the-smart-drug-leading-the-charge-towards-a-future-of-neuroenhancement-46477)