Paper-Conference

Cross-situational Word Learning is Better Modeled by Associations than Hypotheses
G Kachergis, C Yu, R M Shiffrin
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Gaussian Process Regression for Trajectory Analysis
G. E. Cox, G. Kachergis, R. M. Shiffrin
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Learning Nouns with Domain-General Associative Learning Mechanisms
G Kachergis
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Re-learning Labeled Categories Reveals Structured Representations
A. T. Hendrickson, G. Kachergis, C. Fausey, R. L. Goldstone
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Adaptive Magnitude and Valence Biases in a Dynamic Memory Task
Given that human memory is fallible, it is likely adaptive for people to preferentially encode, retain, and retrieve important items …
G. Kachergis, G. Recchia, R. M. Shiffrin
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OrBEAGLE: Integrating Orthography into a Holographic Model of the Lexicon
Many measures of human verbal behavior deal primarily with semantics (e.g., associative priming, semantic priming). Other measures are …
G. Kachergis, G. E. Cox, M. N. Jones
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A Cue Imputation Bayesian Model of Information Aggregation
J. S. Trueblood, G. Kachergis, J. K. Kruschke
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Adaptive constraints and inference in cross-situational word learning
G Kachergis, C Yu, R M Shiffrin
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Cross-Situational Statistical Learning: Implicit or Intentional?
G Kachergis, C Yu, R M Shiffrin
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Is categorical perception really verbally mediated perception?
A. T. Hendrickson, G. Kachergis, T. M. Gureckis, R. L. Goldstone
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