Cory D. Bonn


Post-Doctoral Fellow
Laboratoire Psychologie de la Perception
Université Paris Descartes
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I'm broadly interested in how humans represent environmental statistics and causal structures. Specific interests include numerical cognition (current work), generalized magnitude representations (dissertation), and speech-category acquisition. I'm also interested in development of novel infant methods. I recently finished my PhD in the Department of Brain and Cognitive Sciences at the University of Rochester with Dick Aslin and Jessica Cantlon.

NEWS

2016

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.

2015

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.

BIOGRAPHY

I am currently a post-doc at the Laboratoire Psychologie de la Perception, Université Paris Descartes, working with Véronique Izard in the Perception-Action Group. I recently finished my PhD at the Department of Brain and Cognitive Sciences at the University of Rochester, working with Dick Aslin and Jessica Cantlon. 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.

PAPERS

Abstract Quantity

Bonn, C.D., & Cantlon, J.F. (Submitted). 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., Chládkova, K., Aslin, R.N., & Escudero, P. (Under revision). Indexical and linguistic processing by 12-month-olds: Discrimination of speaker, accent, and vowel differences.

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.

Infant Methods

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.

CURRENT PROJECTS

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.

PAST PROJECTS

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.

INFANT METHODS

Dick Aslin and I worked toward developing novel, forced-choice eye-tracking paradigms for use with infants. To be continued. . .

SPEECH CATEGORIZATION

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.

CURRENT COLLABORATORS

Dick Aslin
Jessica Cantlon
Véronique Izard
Dave Kleinschmidt

FUNDING

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)