Universal generalization and universal inter-item confusability

We argue that confusability between items should be distinguished from generalization between items. Shepard's data concern confusability, but the theories proposed by Shepard and by Tenenbaum & Griffiths concern generalization, indicating a gap between theory and data. We consider the empirical and theoretical work involved in bridging this gap

Measuring Generalization of Visuomotor Perturbations in Wrist Movements Using Mobile Phones

Recent studies in motor control have shown that visuomotor rotations for reaching have narrow generalization functions: what we learn during movements in one direction only affects subsequent movements into close directions. Here we wanted to measure the generalization functions for wrist movement. To do so we had 7 subjects performing an experiment holding a mobile phone in their dominant hand. The mobile phone's built in acceleration sensor provided a convenient way to measure wrist movements and to run the behavioral protocol. Subjects moved a cursor on the screen by tilting the phone. Movements on the screen toward the training target were rotated and we then measured how learning of the rotation in the training direction affected subsequent movements in other directions. We find that generalization is local and similar to generalization patterns of visuomotor rotation for reaching

ROZMYTA OCENA SPÓJNOŚCI WIZUALNEJ W OBRAZACH TERMOWIZYJNYCH POWIERZCHNI WALCOWEJ

This article presents an idea of visual connectedness measure between components in thermography images of rotating steel roller, cylindrically shaped. Both definition and method of measure calculus is given along with a short discussion.Artykuł przedstawia metodę oceny spójności wizualnej komponentów temperaturowych w obrazach termowizyjnych obracającego się walca. Zaproponowano definicję oraz metodę wyznaczania wartości oceny spójności

Information gain modulates brain activity evoked by reading

The human brain processes language to optimise efficient communication. Studies have shown extensive evidence that the brain's response to language is affected both by lower-level features, such as word-length and frequency, and syntactic and semantic violations within sentences. However, our understanding on cognitive processes at discourse level remains limited: How does the relationship between words and the wider topic one is reading about affect language processing? We propose an information theoretic model to explain cognitive resourcing. In a study in which participants read sentences from Wikipedia entries, we show information gain, an information theoretic measure that quantifies the specificity of a word given its topic context, modulates word-synchronised brain activity in the EEG. Words with high information gain amplified a slow positive shift in the event related potential. To show that the effect persists for individual and unseen brain responses, we furthermore show that a classifier trained on EEG data can successfully predict information gain from previously unseen EEG. The findings suggest that biological information processing seeks to maximise performance subject to constraints on information capacity.Peer reviewe

Statistical learning and probabilistic prediction in music cognition: mechanisms of stylistic enculturation

Engineering and Physical Sciences Research Council (EPSRC) funding via grant EP/M000702/1

The under-appreciated drive for sense-making

This paper draws attention to a powerful human motive that has not yet been incorporated into economics: the desire to make sense of our immediate experience, our life, and our world. We propose that evolution has produced a ‘drive for sense-making’ which motivates people to gather, attend to, and process information in a fashion that augments, and complements, autonomous sense-making. A large fraction of autonomous cognitive processes are devoted to making sense of the information we acquire: and they do this by seeking simple descriptions of the world. In some situations, however, autonomous information processing alone is inadequate to transform disparate information into simple representations, in which case, we argue, the drive for sense-making directs our attention and can lead us to seek out additional information. We propose a theoretical model of sense-making and of how it is traded off against other goals. We show that the drive for sense-making can help to make sense of a wide range of disparate phenomena, including curiosity, boredom, ‘flow’, confirmation bias and information avoidance, esthetics (both in art and in science), why we care about others’ beliefs, the importance of narrative and the role of ‘the good life’ in human decision making

Investigation of a Kolmogorov Complexity Based Similarity Metric for Content Based Image Retrieval

This paper introduces an image retrieval approach using normalized information distance based similarity metric to determine the difference between the images. The similarity metric is based on Kolmogorov complexity and measures the amount of shared information between images. Although the Kolmogorov complexity is uncomputable, we are following Vitanyi's approach for approximating itComputer Science Departmen