104 results on '"Cognitive artificial intelligence."'
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2. Individual differences in processing speed and curiosity explain infant habituation and dishabituation performance.
3. Eight-month-old Infants meta-learn by downweighting irrelevant evidence.
4. L2 vocabulary learning benefits from skill-based learner models.
5. Differentiating between Bayesian parameter learning and structure learning based on behavioural and pupil measures.
6. Encouraging errors through gradual feedback to improve vocabulary learning.
7. Reported confidence reflects representation of Bayesian probability in human visual cortex.
8. Congruency effects in crossmodal art perception: Differential cortical activations.
9. Modeling, recognizing, and explaining apparent personality from videos.
10. Intractability of Bayesian belief-updating during communication.
11. The CABB dataset: A multimodal corpus of communicative interactions for behavioural and neural analyses.
12. Category-orthogonal object features guide information processing in recurrent neural networks trained for object categorization.
13. Structure and knowledge effects on amodal completion in early visual cortex and lateral occipital complex.
14. From representations in predictive processing to degrees of representational features.
15. Structure learning in predictive processing needs revision.
16. Speeding up approximate MAP by applying domain knowledge about relevant variables.
17. Correction: Protocol of the Healthy Brain Study: An accessible resource for understanding the human brain and how it dynamically and individually operates in its bio-social context.
18. Parameterized completeness results for Bayesian inference.
19. From full calibration to zero training for a code-modulated visual evoked potentials brain-computer interface.
20. Population codes of prior knowledge learned through environmental regularities.
21. Theoretical modeling for cognitive science and psychology.
22. Brain-computer interfaces based on code-modulated visual evoked potentials (c-VEP): A literature review.
23. Protocol of the Healthy Brain Study: An accessible resource for understanding the human brain and how it dynamically and individually operates in its bio-social context.
24. Improving the sensitivity of cluster-based statistics for functional magnetic resonance imaging data.
25. A visual brain-computer interface as communication aid for patients with amyotrophic lateral sclerosis.
26. Cortical beta-band power modulates with uncertainty in effector selection during motor planning.
27. Computational challenges in explaining communication: How deep the rabbit hole goes.
28. Naturalism, tractability and the adaptive toolbox.
29. Why is scaling up models of language evolution hard?.
30. Formalizing verbal theories: A tutorial by dialogue.
31. How intractability spans the cognitive and evolutionary levels of explanation.
32. On the computational power and complexity of spiking neural networks.
33. Modulation of early visual processing alleviates capacity limits in solving multiple tasks.
34. Neuroimaging findings on amodal completion: A review.
35. Recipient design in communicative pointing.
36. Young children integrate current observations, priors and agent information to predict others' actions.
37. Complex-valued Gaussian process regression for time series analysis.
38. Mind the eye: Confounding eye movements in cognitive neuroscience.
39. SpikeCaKe: Semi-analytic nonparametric Bayesian inference for spike-spike neuronal connectivity.
40. Evidence for confounding eye movements under attempted fixation and active viewing in cognitive neuroscience.
41. Tractable embodied computation needs embeddedness.
42. Forward amortized inference for likelihood-free variational marginalization.
43. Decomposing complexity preferences for music.
44. Cognition and intractability: A guide to classical and parameterized complexity analysis.
45. Processing of prediction errors in mentalizing areas.
46. Wasserstein variational inference.
47. The functional role of cue-driven feature-based feedback in object recognition.
48. Generative adversarial networks for reconstructing natural images from brain activity.
49. Representations of naturalistic stimulus complexity in early and associative visual and auditory cortices.
50. Deep analogical inference as the origin of hypotheses.
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