April 8-9. Talk given on cross-dimensional ratio and rank processing at the 1st Mathematical Cognition and Learning Society Conference in Oxford, UK.
Jan. 1. Started post-doc at UBC Psychology.
May 4-7. Poster entitled "Dot-size variance reduces biases in numerical discrimination and estimation tasks" at CAOS 2017 in Rovereto, IT.
Sept. 28-30. Presented poster entitled "Sources of uncertainty in the approximate number system" at the Domain-General and Domain-Specific Foundations of Numerical and Arithmetic Processing Workshop in Tübingen, Germany.
Feb. 16. NEW WEBSITE!
Jan. 1. Started post-doc at LPP studying factors that affect noise levels in the infant and adult approximate number system.
Dec. 10. Successfully defended PhD thesis entitled On Theories of Abstract, Quantitative Representation.
Sept. 1. Started NSF-GROW/STEM-Chateaubriand predoctoral fellowships in Paris at Laboratoire Psychologie de la Perception, Université Paris Descartes.
Aug. 10. Moved out of Rochester, NY.
July 1. Awarded Fyssen Foundation Postdoctoral Study Fellowship.
June 1. Awarded NSF-GROW Fellowship.
May 2. Awarded Embassy of France's STEM-Chateaubriand Fellowship.
I am currently a post-doc at the Centre for Cognitive Development, University of British Columbia, working with Darko Odic in the Early Development Group. I did my PhD at the Department of Brain and Cognitive Sciences at the University of Rochester, working with Dick Aslin and Jessica Cantlon and previously did a post-doc in Paris with Véronique Izard and Lola de Hevia. In a former life, I was a pianist, but these days I find myself broadly interested in how humans learn about the causal and statistical structure of the world. Most recently, that has expanded to include numerical cognition, but I've worked on diverse problems related to generalized magnitude representation and distributional learning of phonemes. Before working on statistical learning, I was interested in music and auditory perception.
I have an interest in methods development, particularly for use with infants, whether it be for creating new eye-tracking paradigms or extending the analytical toolbox of infant researchers.
Approximate Number System
Bonn, C.D., & Izard, V. (In prep). Dot-size variance reduces biases in numerical discrimination and estimation tasks.
Bonn, C.D., Netskou, M.E., Streri, A., & de Hevia, M.D. (under review). Number-brightness association in newborn infants.
Bonn, C.D., & Cantlon, J.F. (Under review). Spontaneous, modality-general abstraction of a ratio scale.
Bonn, C.D., & Cantlon, J.F. (Under revision). Learning relations between space, time, and number from environmental statistics.
Bonn, C.D., & Cantlon, J.F. (2012). The origins and structure of quantitative concepts. Cognitive Neuropsychology, 29:1-2, pp. 149-173.
Speech Perception and Categorization
Mulak, K., Bonn, C.D., Chládkova, K., Aslin, R.N., & Escudero, P. (2017). Indexical and linguistic processing by 12-month-olds: Discrimination of speaker, accent, and vowel differences. PLOS ONE, 12(5), e0176762.
Stasenko, A., Bonn, C., Teghipco, A., Garcea, F.E., Sweet, C., Dombovy, M., McDonough, J., and Mahon, B.Z. (2015). A causal test of the motor theory of speech perception: a case of impaired speech production and spared speech perception. Cognitive Neuropsychology, 32, 38-57.
Bonn, C.D., & Aslin, R.N. (In prep). Probability matching in human infants: A demonstration using a novel forced-choice paradigm.
Pitch and Music Perception
Tramo, M.J., Bonn, C.D., & Braida, L. (In prep). Harmonic-tone processing following bilateral auditory cortex lesions: Pitch direction discrimination with and without energy at F0.
Siu, J., Bonn, C.D., & Marvin, E.W. (Under Revision). Contributions of native language, spectral envelope, and absolute pitch possession to the perception of octave-ambiguous tritones in tone-language speakers.
DEVELOPMENT OF NUMERICAL COGNITION
Here at the LPP, Véronique Izard and I are working on a project in infants and adults that aims to decompose noise sources that contribute to uncertainty in the approximate number system and how those differ across individuals and across different developmental stages.
GENERALIZED MAGNITUDE REPRESENTATIONS
Keep your eyes open for my dissertation work, which explored the hypothesis space of generalized magnitude representations. We approached the topic from multiple perspectives, including statistical learning as well as analogical reasoning.
Dick Aslin and I worked toward developing novel, forced-choice eye-tracking paradigms for use with infants. To be continued. . .
I'm interested in how infants learn their native speech categories (phonemes) in an unsupervised fashion. To do this, infants need to solve some complex statistical learning and causal inference problems.
Lola de Hevia
Fondation Fyssen Postdoctoral Study Grant (2016 - present)
Embassy of France STEM-Chateaubriand Fellowship (Fall 2015)
National Science Foundation Graduate Research Opportunities Worldwide (GROW) Fellowship (Fall 2015)
National Science Foundation Graduate Research Fellowship (2011 - 2014)