Dimensional schizotypy,autism, and unusual word associations in artists and scientists

Studies from a range of perspectives provide evidence for a relationship between creativity and the tendency to mental illness. The present study further examined this issue by administering questionnaires measuring the minor features of psychosis and autism to 31 professional “artists” (visual artists and musicians) and 28 professional “scientists” (biological scientists and physical scientists/mathematicians). The Oxford–Liverpool Inventory of Feelings and Experiences (O–LIFE), the Hypomanic Personality Scale, and the Autism-Spectrum Quotient (AQ), were administered, in addition to a shortened form of the Kent–Rosanoff Word Association Scale. The results provided strong support for the connection of artistic creativity to positive schizotypy and hypomania and the tendency to make unusual word associations, and somewhat weaker support for the connection of scientific creativity to certain components of the autism spectrum.     

Poles of Meaning: Pushing Language Up and Down

I discuss the problem of using the emotional/cognitive duality as a satisfactory way of formulating the problem of linguistic origins and of the distinctiveness of literary language. I address in particular Shanahan’s use of the work of Ernst Cassirer and Susanne Langer. I point out that Cassirer offers us a multileveled model of language’s sense-functions which avoids false oppositions and that Langer shows that literature does not belong to the discursive but to the presentational order of symbolism. Such insights strengthen rather than weaken Shanahan’s main points about the ‘localization’ and nature of meaning.

Heeding the voice of experience: the role of talker variation in lexical access

Two experiments used the head-mounted eye-tracking methodology to examine the time course of lexical activation in the face of a non-phonemic cue, talker variation. We found that lexical competition was attenuated by consistent talker differences between words that would otherwise be lexical competitors. In Experiment 1, some English cohort word-pairs were consistently spoken by a single talker (male couch, male cows), while other word-pairs were spoken by different talkers (male sheep, female sheet). After repeated instances of talker-word pairings, words from different-talker pairs showed smaller proportions of competitor fixations than words from same-talker pairs. In Experiment 2, participants learned to identify black-and-white shapes from novel labels spoken by one of two talkers. All of the 16 novel labels were VCVCV word-forms atypical of, but not phonologically illegal in, English. Again, a word was consistently spoken by one talker, and its cohort or rhyme competitor was consistently spoken either by that same talker (same-talker competitor) or the other talker (different-talker competitor). Targets with different-talker cohorts received greater fixation proportions than targets with same-talker cohorts, while the reverse was true for fixations to cohort competitors; there were fewer erroneous selections of competitor referents for different-talker competitors than same-talker competitors. Overall, these results support a view of the lexicon in which entries contain extra-phonemic information. Extensions of the artificial lexicon paradigm and developmental implications are discussed.     

The link between statistical segmentation and word learning in adults

Many studies have shown that listeners can segment words from running speech based on conditional probabilities of syllable transitions, suggesting that this statistical learning could be a foundational component of language learning. However, few studies have shown a direct link between statistical segmentation and word learning. We examined this possible link in adults by following a statistical segmentation exposure phase with an artificial lexicon learning phase. Participants were able to learn all novel object-label pairings, but pairings were learned faster when labels contained high probability (word-like) or non-occurring syllable transitions from the statistical segmentation phase than when they contained low probability (boundary-straddling) syllable transitions. This suggests that, for adults, labels inconsistent with expectations based on statistical learning are harder to learn than consistent or neutral labels. In contrast, a previous study found that infants learn consistent labels, but not inconsistent or neutral labels.     

Learning words from reliable and unreliable speakers

Three studies examined whether 3- and 4-year olds would trust a reliable speaker over an unreliable speaker when learning a new word and whether that trust would be reversed, and the word mapping revised, when a trusted speaker later proved unreliable. Study 1 indicated that 3- and 4-year olds trusted a reliable speaker over an unreliable speaker. Study 2 indicated that some 4-year olds reversed trust and revised a word mapping when a trusted speaker later proved unreliable. Study 3 indicated that those 4-year olds who reversed trust and revised the word mapping were likely to maintain the revision and tended to favor the previously reliable speaker over time. These results are discussed in terms of the role of speaker reliability in young children's word learning.     

Neophilia in domestic dogs (Canis familiaris) and its implication for studies of dog cognition

This study examined novel-object preference in dogs. In a free choice test 17 dogs were presented with a novel toy in a line up with two familiar toys. The unfamiliar object was chosen first in 38 out 50 tests suggesting a strong preference for novel over familiar items. Neophilia may be an adaptive trait for domestic dogs that has helped their adaptation towards man.     

Semantic boost on episodic associations: an empirically-based computational model

Words become associated following repeated co-occurrence episodes. This process might be further determined by the semantic characteristics of the words. The present study focused on how semantic and episodic factors interact in incidental formation of word associations. First, we found that human participants associate semantically related words more easily than unrelated words; this advantage increased linearly with repeated co-occurrence. Second, we developed a computational model, SEMANT, suggesting a possible mechanism for this semantic-episodic interaction. In SEMANT, episodic associations are implemented through lateral connections between nodes in a pre-existent self-organized map of word semantics. These connections are strengthened at each instance of concomitant activation, proportionally with the amount of the overlapping activity waves of activated nodes. In computer simulations SEMANT replicated the dynamics of associative learning in humans and led to testable predictions concerning normal associative learning as well as impaired learning in a diffuse semantic system like that characteristic of schizophrenia.     

Dynamic self-organization and early lexical development in children

In this study we present a self-organizing connectionist model of early lexical development. We call this model DevLex-II, based on the earlier DevLex model. DevLex-II can simulate a variety of empirical patterns in children's acquisition of words. These include a clear vocabulary spurt, effects of word frequency and length on age of acquisition, and individual differences as a function of phonological short-term memory and associative capacity. Further results from lesioned models indicate developmental plasticity in the network's recovery from damage, in a non-monotonic fashion. We attribute the network's abilities in accounting for lexical development to interactive dynamics in the learning process. In particular, variations displayed by the model in the rate and size of early vocabulary development are modulated by (a) input characteristics, such as word frequency and word length, (b) consolidation of lexical-semantic representation, meaning-form association, and phonological short-term memory, and (c) delayed processes due to interactions among timing, severity, and recoverability of lesion. Together, DevLex and DevLex-II provide an accurate computational account of early lexical development.     

Word of God or Dialog with Science? Overcoming a False Dilemma Through Missional Encounter

Abstract : Why would a theology grounded in God's word engage with the sciences? After laying out two alternative approaches to revelation—constructive theology (general revelation) and Logos theology (special revelation)—I advocate an evangel theology grounded in mission, worship and the gospel of Jesus Christ. This approach engages both culture (including science and technology) and God's word from a critical missional basis. An evangel theology engages the sciences through apologetics, cultural critique, hermeneutics, and the cooperative task of developing a Christian worldview.