Kelsey Perrykkad (previously Palghat) has an interdisciplinary background, working between cognitive science and philosophy.
Her PhD is about how putting together predictive processing theories of the self and autism spectrum conditions might lead us to better understand self-cognition in autism. She is using eye-tracking and behavioural measures in a judgement of agency task, along with other projects.
Before starting her PhD at Monash, Kelsey worked at the Queensland Brain Institute as a Senior Research Assistant and the EEG lab manager. There, she studied the sense of agency, the intersection between education and neuroscience in real classrooms (with the SLRC) and neural correlates of motor preparation in naturalistic movements. She simultaneously worked for the Autism CRC, as a Senior Research Officer under the Classroom Acoustics Project, which tested the efficacy of sound field systems in improving the classroom environment for autistic children.
- Perrykkad, K., & Hohwy, J. (2020). Fidgeting as Self-Evidencing: A predictive processing account of non-goal-directed action. New Ideas in Psychology, 56, 100750. doi:https://doi.org/10.1016/j.newideapsych.2019.100750
- Carroll, A., Gillies, R. M., Cunnington, R., McCarthy, M., Sherwell, C., Palghat, K., Goh, F., Baffour, B., Bourgeois, A., Rafter, M., & Seary, T. (2019). Changes in science attitudes, beliefs, knowledge and physiological arousal after implementation of a multimodal, cooperative intervention in primary school science classes. Information and Learning Sciences, ahead-of-print(ahead-of-print). doi:10.1108/ils-08-2018-0089
- Perrykkad, K. (2019). Adaptive Behaviour and Predictive Processing Accounts of Autism. Brain and Behavioural Sciences, 42, e82: 1-73.
- Perrykkad, K., & Hohwy, J. (2019). When big data aren’t the answer. Proceedings of the National Academy of Sciences, 201902050. [reply from authors] [unpublished comments on reply]
- Wilson, W. J., Downing, C., Perrykkad, K., Armstrong, R., Arnott, W. L., Ashburner, J., & Harper-Hill, K. (2019). The ‘acoustic health’of primary school classrooms in Brisbane, Australia. Speech, Language and Hearing, 1-8.
- Perrykkad, K., & Hohwy, J. (2019). Modelling Me, Modelling You: the Autistic Self. Review Journal of Autism and Developmental Disorders, 1-31.
- Van de Cruys, S., Perrykkad, K., & Hohwy, J. (2019). Explaining hyper-sensitivity and hypo-responsivity in autism with a common predictive coding-based mechanism. Cognitive neuroscience, 10(3), 164-166.
- van der Kruk, Y., Wilson, W. J., Palghat, K., Downing, C., Harper-Hill, K., & Ashburner, J. (2017). Improved signal-to-noise ratio and classroom performance in children with autism spectrum disorder: A systematic review. Review Journal of Autism and Developmental Disorders, 4(3), 243-253.
- Palghat, K., Horvath, J. C., & Lodge, J. M. (2017). The hard problem of ‘educational neuroscience’. Trends in neuroscience and education, 6, 204-210.
- Gillies, R. M., Carroll, A., Cunnington, R., Rafter, M., Palghat, K., Bednark, J., & Bourgeois, A. (2016). Multimodal representations during an inquiry problem-solving activity in a Year 6 science class: A case study investigating cooperation, physiological arousal and belief states. Australian Journal of Education, 60(2), 111-127.
- Bednark, J. G., Poonian, S. K., Palghat, K., McFadyen, J., & Cunnington, R. (2015). Identity-specific predictions and implicit measures of agency. Psychology of Consciousness: Theory, Research, and Practice, 2(3), 253.
- Morrissey, C., & Palghat, K. (2014). Engaging reading. Teaching Philosophy, 37(1), 37-55.
Where possible, free copies of Kelsey’s work are available on her ResearchGate profile.
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