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Krafft, P., Baker, C., Pentland, A. & Tenenbaum, J. B. Modeling Human Ad Hoc Coordination. AAAI (2016).PDF icon krafft_aaai2016.pdf (247.58 KB)
Kosakowski, H. L. et al. Preliminary evidence for selective cortical responses to music in one‐month‐old infants. Developmental Science (2023). doi:10.1111/desc.13387PDF icon Developmental Science - 2023 - Kosakowski - Preliminary evidence for selective cortical responses to music in one‐month‐old.pdf (2.6 MB)
Kosakowski, H. L., Powell, L. J. & Spelke, E. S. Preverbal Infants' Third-Party Imitator Preferences: Animated Displays versus Filmed Actors. CBMM Summer Research Program (2015).PDF icon Preverbal Infants' Third-Party Imitator Preferences: Animated Displays versus Filmed Actors (46.32 MB)
Kosakowski, H. L., Powell, L. J. & Spelke, E. S. Preverbal Infants' Third-Party Imitator Preferences: Animated Displays versus Filmed Actors. International Conference on Infant Studies (ICIS) (2016).PDF icon Preverbal Infants' Third-Party Imitator Preferences: Animated Displays versus Filmed Actors (45.21 MB)
Kosakowski, H. L., Powell, L. J. & Spelke, E. S. Imitation Preferences of Preverbal Infants. CBMM Summer Research Program (2014).PDF icon Imitation Preferences of Preverbal Infants. (11.32 MB)
Kosakowski, H. L. et al. Selective responses to faces, scenes, and bodies in the ventral visual pathway of infants. Current Biology 32, (2021).
Kool, W. & Botvinick, M. Mental labour. Nature Human Behaviour 2, 899 - 908 (2018).
Kool, W., Cushman, F. A. & Gershman, S. J. When Does Model-Based Control Pay Off?. PLoS Comput Biol 12, e1005090 (2016).PDF icon KoolEtAl_PLOS_CB.PDF (5.85 MB)
Kool, W., Gershman, S. J. & Cushman, F. A. Cost-Benefit Arbitration Between Multiple Reinforcement-Learning Systems. Psychol Sci 28, 1321-1333 (2017).
Kool, W., Gershman, S. J. & Cushman, F. A. Planning Complexity Registers as a Cost in Metacontrol. Journal of Cognitive Neuroscience 30, 1391 - 1404 (2018).
Kool, W., Gershman, S. J. & Cushman, F. A. Thinking fast or slow? A reinforcement-learning approach. Society for Personality and Social Psychology (2017).PDF icon KoolEtAl_SPSP_2017.pdf (670.35 KB)
Koch, C. & Poggio, T. A Science of Intelligence . (2015).PDF icon A Science of Intelligence.pdf (659.5 KB)
Koch, C. & Tononi, G. Consciousness: here, there and everywhere?. Phil. Trans. Roy Society B 370, (2015).PDF icon Tononi & Koch '15.pdf (1.87 MB)
Koch, C. Lust and the Turing test [Nature] . (2015). at <http://blogs.nature.com/aviewfromthebridge/2015/05/27/lust-and-the-turing-test/>PDF icon Lust and the Turing Test.pdf (203.1 KB)
Knoblich, U. hhpkg: Hodgkin-Huxley Package for CNS. (2012).File hhpkg.tar (380 KB)
Kliemann, D., Jacoby, N., Anzellottti, S. & Saxe, R. Decoding task and stimulus representation in face-responsive cortex. (2015).
Kliemann, D., Jacoby, N., Anzellottti, S. & Saxe, R. Decoding task and stimulus representations in face-responsive cortex. Cognitive Neuropsychology (2016).
Kleiman-Weiner, M., Ho, M. K., Austerweil, J. L., L, L. Michael & Tenenbaum, J. B. Coordinate to cooperate or compete: abstract goals and joint intentions in social interaction. Proceedings of the 38th Annual Conference of the Cognitive Science Society (2016).PDF icon kleiman2016coordinate.pdf (266.87 KB)
Kim, S. & Spelke, E. S. Learning from multiple informants: Children’s response to epistemic bases for consensus judgments. Journal of Experimental Child Psychology 192, 104759 (2020).
Kim, D. et al. The ability to predict actions of others from distributed cues is still developing in children. PsyArXiv Preprints (2020). doi:10.31234/osf.io/pu3tfPDF icon Action_prediction_in_children.pdf (427.84 KB)
Khosla, M., N. Murty, A. Ratan & Kanwisher, N. A highly selective response to food in human visual cortex revealed by hypothesis-free voxel decomposition. Current Biology 32, 4159 - 4171.e9 (2022).
Kell, A. J. E. & McDermott, J. H. Invariance to background noise as a signature of non-primary auditory cortex. Nature Communications 10, (2019).
Kell, A. J. E., Yamins, D. L. K., Shook, E. N., Norman-Haignere, S. V. & McDermott, J. H. A task-optimized neural network replicates human auditory behavior, predicts brain responses, and reveals a cortical processing hierarchy. Neuron 98, (2018).
Kell, A. J. E. & McDermott, J. H. Deep neural network models of sensory systems: windows onto the role of task constraints. Current Opinion in Neurobiology 55, 121 - 132 (2019).
Katz, B., Borchardt, G., Felshin, S. & Mora, F. The Wiley Handbook of Human Computer Interaction 2, 539-559 (John Wiley & Sons , 2018).

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