2018 Publications

Below is a record of published work from The MARCS Institute academics. You can also find a full listing of MARCS 2018 works on the following Google Scholar page (opens in a new window)

Book Chapters

Balasubramani, P. P., Chakravarthy, S., Wong-Lin, K. F., Wang, D. -H., Cohen, J. Y., Nakamura, K., & Moustafa, A. A. (2018). Neural circuit models of the serotonergic system . In A. A. Moustafa (Ed.), Computational Models of Brain and Behavior (pp. 389-400). doi:doi:10.1002/9781119159193.ch28

Best, C. T. (2018). Speech perception in infants : propagating the effects of language experience. In E. M. Fernández & H. Smith Cairns (Eds.), Handbook of Psycholinguistics (pp. 470-490). doi:doi:10.1002/9781118829516.ch21

Cutler, A. & Farrell, J. (2018). Listening in first and second language. In Liontas, J.I. (Ed.) The TESOL Encyclopedia of Language Teaching. New York: Wiley; doi:10.1002/9781118784235.eelt0583.

Cutsuridis, V., & Moustafa, A. A. (2018). Computational models of pharmacological and Immunological treatment in Alzhimer's disease. In A. A. Moustafa (Ed.), Computational Models of Brain and Behavior (pp. 99-108). doi:doi:10.1002/9781119159193.ch8

Diwakar, S., & Moustafa, A. A. (2018). Cerebellum and its disorders. In A. A. Moustafa (Ed.), Computational Models of Brain and Behavior (pp. 303-319). doi:doi:10.1002/9781119159193.ch22

Gupta, A., Faghihi, F., & Moustafa, A. A. (2018). Computational models of olfaction in fruit flies. In A. A. Moustafa (Ed.), Computational Models of Brain and Behavior (pp. 199-213). doi:doi:10.1002/9781119159193.ch15

Hassan, M., & Moustafa, A. A. (2018). The development of medications for Parkinson's disease using computational modeling. In A. A. Moustafa (Ed.), Computational Models of Brain and Behavior (pp. 125-138). doi:doi:10.1002/9781119159193.ch10

Khalil, R., Moftah, M. Z., Landry, M., & Moustafa, A. A. (2018). Models of dynamical synapses and cortical development. In A. A. Moustafa (Ed.), Computational Models of Brain and Behavior (pp. 321-331). doi:doi:10.1002/9781119159193.ch23

McLean, A., & Dean, R. T. (2018). Algorithmic trajectories. In A. McLean & R. T. Dean (Eds.), The Oxford Handbook of Algorithmic Music (pp. 647-658).

McLean, A., & Dean, R. T. (2018). Musical algorithms as tools, languages, and partners : a perspective. In A. McLean & R. T. Dean (Eds.), The Oxford Handbook of Algorithmic Music (pp. 3-15).

Milne, A. J. (2018). Linking sonic aesthetics with mathematical theories. In A. McLean & R. T. Dean (Eds.), The Oxford Handbook of Algorithmic Music (pp. 155-180).

Novembre, G., & Keller, P. E. (2018). Music and action. In R. Bader (Ed.). Springer handbook of systematic musicology (pp. 523-537). Berlin: Springer-Verlag.

Radell, M. L., Myers, C. E., Sheynin, J., & Moustafa, A. A. (2018). Computational models of post-traumatic stress disorder (PTSD). In A. A. Moustafa (Ed.), Computational Models of Brain and Behavior (pp. 43-56). doi:doi:10.1002/9781119159193.ch4

Journal Articles

Acharyya, A., Jadhav, P., Bono, V., Maharatna, K., & Naik, G. R. (2018). Low-complexity hardware design methodology for reliable and automated removal of ocular and muscular artifact from EEG. Computer Methods and Programs in Biomedicine158, 123-133. doi:10.1016/j.cmpb.2018.02.009

Ahmadi, F., Noorian, F., Novakovic, D., & Schaik, A. van. (2018)  “A pneumatic Bionic Voice prosthesis—Pre-clinical trials of controlling the voice onset and offset,” PLoS One, vol. 13, no. 2, p. e0192257,

Antoniou, M., & Chin, J. L. (2018). What can lexical tone training studies in adults tell us about tone processing in children? Frontiers in Psychology9. doi:doi:10.3389/fpsyg.2018.00001

Argyelan, M., Herzallah, M. M., Sako, W., DeLucia, I., Sarpal, D., Vo, A., … Gluck, M. A. (2018). [In Press] Dopamine modulates striatal response to reward and punishment in patients with Parkinson’s disease : a pharmacological challenge fMRI studyNeuroReport. doi:doi:10.1097/WNR.0000000000000970

Bianco, R., Novembre, G., Keller, P. E., Villringer, A., & Sammler, D. (2018). Musical genre-dependent behavioural and EEG signatures of action planning : a comparison between classical and jazz pianistsNeuroImage169, 383-394. doi:10.1016/j.neuroimage.2017.12.058

Burnham, D. K., & Dodd, B. (2018). Language-general auditory-visual speech perception : Thai-English and Japanese-English McGurk effects. Multisensory Research31(1), 79-110. doi:10.1163/22134808-00002590

Burnham, D. K., Singh, L., Mattock, K., Woo, P. J., & Kalashnikova, M. (2018). Constraints on tone sensitivity in novel word learning by monolingual and bilingual infants : tone properties are more influential than tone familiarity. Frontiers in Psychology8. doi:10.3389/fpsyg.2017.02190

Cassidy, S., Estival, E., (2018). "Annotation Contributions: sharing derived research data". 4REAL Workshop, Language Resource and Evaluation Conference (LREC). Miyazaki (Japan)

Chong, C., Kim, J., & Davis, C. (2018). Disgust expressive speech: the acoustic consequences of facial expressions of emotions. Speech Communication, 98, 68-72.

Cohen, G., Afshar, S., Orchard, G., Tapson, J. C., Benosman, R. B., & Schaik, A. van. (2018). [In Press] Spatial and temporal downsampling in event-based visual classification. IEEE Transactions on Neural Networks and Learning Systems. doi:doi:10.1109/TNNLS.2017.2785272

Cook, A. J., Ng, B., Gargiulo, G., Hindmarsh, D., Pitney, M., Lehmann, T., & Hamilton, T. J. (2018). Instantaneous VO2 from a wearable device. Medical Engineering and Physics52, 41-48. doi:10.1016/j.medengphy.2017.12.008

Eerola, T., Jakubowski, K., Moran, N., Keller, P. E., & Clayton, M. (2018). Shared periodic performer movements coordinate interactions in duo improvisationsRoyal Society Open Science5. doi:10.1098/rsos.171520

Erdener, D., & Burnham, D. K. (2018). Auditory–visual speech perception in three- and four-year-olds and its relationship to perceptual attunement and receptive vocabulary. Journal of Child Language45(2), 273-289. doi:10.1017/S0305000917000174

Etani, T., Marui, A., Kawase, S., & Keller, P.E. (2018). Optimal tempo for groove: Its relation to directions of body movement and Japanese nori. Frontiers in Psychology, 9. doi:10.3389/fpsyg.2018.00462

Garrido, S. (2018). The influence of personality and coping style on the affective outcomes of nostalgia : is nostalgia a healthy coping mechanism or ruminationPersonality and Individual Differences120, 259-264. doi:10.1016/j.paid.2016.07.021

Garrido, S., Dunne, L., Perz, J. M., Chang, E., & Stevens, C. J. (2018). [In Press] The use of music in aged care facilities : a mixed-methods study. Journal of Health Psychology. doi:10.1177/1359105318758861

George, L., Lehmann, T., & Hamilton, T. J. (2018). A reconfigurable dual-output buck-boost switched-capacitor converter using adaptive gain and discrete frequency scaling control. Microelectronics Journal73, 59-74. doi:doi:10.1016/j.mejo.2018.01.004

Halovic, S., & Kroos, C. (2018). Walking my way? : walker gender and display format confounds the perception of specific emotions. Human Movement Science57, 461-477. doi:10.1016/j.humov.2017.10.012

Halovic, S., & Kroos, C. (2018). Not all is noticed : kinematic cues of emotion-specific gait. Human Movement Science57, 478-488. doi:10.1016/j.humov.2017.11.008

Johnson, E. K., Bruggeman, L., & Cutler, A. (2018). Abstraction and the (misnamed) language familiarity effectCognitive Science42(2), 633-645. doi:10.1111/cogs.12520

Jones, C., Sharma, M., Harkus, S., McMahon, C. M., Taumoepeau, M., Demuth, K., … Hampshire, A. (2018). A program to respond to otitis media in remote Australian Aboriginal communities : a qualitative investigation of parent perspectives. BMC Pediatrics18. doi:doi:10.1186/s12887-018-1081-3

Kim, J., Bailly, G., & Davis, C. (2018). Introduction to the Special Issue on Auditory-visual expressive speech and gesture in humans and machines. Speech Communication, 98, 63-67.

Kalashnikova, M., Goswami, U., & Burnham, D. K. (2018). Mothers speak differently to infants at-risk for dyslexia. Developmental Science21(1). doi:10.1111/desc.12487

Kalashnikova, M., & Burnham, D. K. (2018). [In Press] Infant-directed speech from seven to nineteen months has similar acoustic properties but different functionsJournal of Child Language. doi:doi:10.1017/S0305000917000629

Leung, Y., & Dean, R. T. (2018). [In Press] Learning a well-formed microtonal scale : pitch intervals and event frequenciesJournal of New Music Research. doi:doi:10.1080/09298215.2018.1432060

Liu, L., Ong, J., Tunitti, A., & Escudero, P (2018). One way or another: Evidence for perceptual asymmetry in pre-attentive learning of non-native contrasts. Frontiers in Psychology, 9, 162.

Liu, L. & Kager, R.W.J.  (2018). Monolingual and bilingual infants’ ability to use non-native tone for word learning deteriorates by the second year after birth. Frontiers in Psychology, 9, 117.

MacRitchie, J., Zicari, M., & Blom, D. (2018). [In Press] Identifying challenges and opportunities for student composer and performer peer learning through newly-composed classical piano scores. British Journal of Music Education. doi:doi:10.1017/S0265051717000304

Naik, G. R., Selvan, S. E., Arjunan, S. P., Acharyya, A., Kumar, D. K., Ramanujam, A., & Nguyen, H. T. (2018). An ICA-EBM-based sEMG classifier for recognizing lower limb movements in individuals with and without knee pathology. IEEE Transactions on Neural Systems and Rehabilitation Engineering26(3), 675-686. doi:10.1109/TNSRE.2018.2796070

Nozaradan, S., Schönwiesner, M., Keller, P. E., Lenc, T. and Lehmann, A. (2018), Neural bases of rhythmic entrainment in humans: critical transformation between cortical and lower-level representations of auditory rhythm. Eur J Neurosci, 47: 321–332. doi:10.1111/ejn.13826

Nozaradan, S., Keller, P. E., Rossion, B., & Mouraux, A. (2018). EEG frequency-tagging and input-output comparison in rhythm perception. Brain Topography31(2), 153-160. doi:10.1007/s10548-017-0605

Paris, M., Mahajan, Y., Kim, J., & Meade, T. (2018). Emotional Speech Processing Deficits in Bipolar Disorder: The Role of Mismatch Negativity and P3a. Journal of Affective Disorders.

Romano, M., Bifulco, P., Ponsiglione, A. M., Gargiulo, G., Amato, F., & Cesarelli, M. (2018). Evaluation of floating line and foetal heart rate variabilityBiomedical Signal Processing and Control39, 185-196. doi:doi:10.1016/j.bspc.2017.07.018

Su, Y. -H., & Keller, P. E. (2018). [In Press] Your move or mine? : music training and kinematic compatibility modulate synchronization with self- versus other-generated dance movement. Psychological Research. doi:doi:10.1007/s00426-018-0987-6

Taalab, Y. M., Ibrahim, N., Maher, A., Hassan, M., Mohamed, W., Moustafa, A. A., … Bernstein, L. (2018). [In Press] Mechanisms of disordered neurodegenerative function : concepts and facts about the different roles of the protein kinase RNA-like endoplasmic reticulum kinase (PERK)Reviews in the Neurosciences. doi:doi:10.1515/revneuro-2017-0071

Thakur, C. S., Wang, R., Hamilton, T. J., Etienne-Cummings, R., Tapson, J. C., & Schaik, A. van. (2018). An analogue neuromorphic co-processor that utilizes device mismatch for learning applicationsIEEE Transactions on Circuits and Systems I: Regular Papers65(4), 1174-1184. doi:doi:10.1109/TCSI.2017.2756878

Trapp, S., Havlicek, O., Schirmer, A., & Keller, P. E. (2018). [In Press] When the rhythm disappears and the mind keeps dancing : sustained effects of attentional entrainment. Psychological Research. doi:doi:10.1007/s00426-018-0983-x

Tuninetti, A., & Tokowicz, N. (2018). [In Press] The influence of a first language : training nonnative listeners on voicing contrasts. Language, Cognition and Neuroscience. doi:doi:10.1080/23273798.2017.1421318

Weiss, B., Estival, D., & Stiefelhagen, U. (2018). Non-experts' perceptual dimensions of voice assessed by using direct comparisonsActa Acustica United with Acustica104, 174-184. doi:10.3813/AAA.919157

Xu, Y., Thakur, C. S., Singh, R. K., Hamilton, T. J., Wang, R., & Schaik, A. van. (2018). A FPGA implementation of the CAR-FAC cochlear model. Frontiers in Neuroscience12. doi:10.3389/fnins.2018.00198

Zelic, G., Varoqui, D., Kim, J., & Davis, C. (2018). A flexible and accurate method to estimate the mode and stability of spontaneous coordinated behaviors : the index-of-stability (IS) analysisBehavior Research Methods50(1), 182-194. doi:10.3758/s13428-017-0861-2