Attention as a predictor of learning in infants

A total of 240 fourteen-week-olds were rewarded with a pattern of lights and tones for kicking. The reward display interrupted a background of random alternation between two lights and tones. In experiment 1, attention to this background stimulus during a 1-min baseline was assessed using the number of fixations of alternating lights. During 6 min of reward, high-attention subjects showed significantly greater changes in kicking rate from baseline than low-attention subjects. In experiment 2, the proportion of subjects with low attention ratings increased dramatically during an extended 5-min baseline period, and those subjects with low attention ratings at the end of baseline did not show an increase in kicking from baseline to the reward phase, while high-attention subjects did show evidence of learning. Thus, an objective measure of attention, empirically separate from the dependent learning measure, provided a significant prediction of the effectiveness of subsequent reinforcement, and could be manipulated simply by extending the baseline by as little as 4 min.     

One-back reinforcement dissociates implicit-procedural and explicit-declarative category learning

The debate over unitary/multiple category-learning utilities is reminiscent of debates about multiple memory systems and unitary/dual codes in knowledge representation. In categorization, researchers continue to seek paradigms to dissociate explicit learning processes (yielding verbalizable rules) from implicit learning processes (yielding stimulus–response associations that remain outside awareness). We introduce a new dissociation here. Participants learned matched category tasks with a multidimensional, information-integration solution or a one-dimensional, rule-based solution. They received reinforcement immediately (0-Back reinforcement) or after one intervening trial (1-Back reinforcement). Lagged reinforcement eliminated implicit, information-integration category learning but preserved explicit, rule-based learning. Moreover, information-integration learners facing lagged reinforcement spontaneously adopted explicit rule strategies that poorly suited their task. The results represent a strong process dissociation in categorization, broadening the range of empirical techniques for testing the multiple-process theoretical perspective. This and related methods that disable associative learning—fostering a transition to explicit-declarative cognition—could have broad utility in comparative, cognitive, and developmental science.     

Memory for emotional stories in high and low depressed children

Cognitive theories of depression emphasise a vicious circle linking depressed mood and biased recall towards negative information. In line with this, depressed adults show selectively enhanced recall for negative information. This recall bias is held to be mediated by increased accessibility of negative self-referent schemas formed as a result of adverse early experiences. Given this, surprisingly few studies have examined depression-related recall biases from a developmental perspective. Clinically depressed children have been found to show enhanced recall of negative adjectives, particularly when self-referent, but to date there is no evidence for similar recall biases in non-clinically depressed groups. The current study addressed this by investigating high and low non-clinically depressed children's (aged 5-11 years) recall of emotional stories. High depressed children showed enhanced recall of negative stories, relative to positive stories, compared to the low depressed group. This did not vary with age group. We conclude that, when child-oriented materials are used, depression-related biases in recall towards negative information are observable even in a non-clinical sample of children from 5 years of age.     

Speeded induction under uncertainty: The influence of multiple categories and feature conjunctions

When people are uncertain about the category membership of an item (e.g., Is it a dog or a dingo?), research shows that they tend to rely only on the dominant or most likely category when making inductions (e.g., How likely is it to befriend me?). An exception has been reported using speeded induction judgments where participants appeared to use information from multiple categories to make inductions (Verde, Murphy, &; Ross, 2005). In two speeded induction studies, we found that participants tended to rely on the frequency with which features co-occurred when making feature predictions, independently of category membership. This pattern held whether categories were considered implicitly (Experiment 1) or explicitly (Experiment 2) prior to feature induction. The results converge with other recent work suggesting that people often rely on feature conjunction information, rather than category boundaries, when making inductions under uncertainty.     

Processing complex graphemes in handwriting production

Recent studies on handwriting production and neuropsychological data have suggested that orthographic representations are multilevel structures that encode information on letter identity and order, but also on intermediate-grained processing units such as syllables and morphemes. This study on handwriting production examined whether orthographic representations also include a graphemic-processing level. French adults wrote words containing an embedded one-, two-, or three-letter grapheme (e.g., a in clavier, ai in prairie, ain in plainte) on a digitizer. The results for letter duration revealed that the timing of movement processing depends on grapheme length (e.g., the duration of a for one-letter graphemes was shorter than that for two-letter graphemes, which, in turn, was shorter than that for three-letter graphemes). Two- and three-letter graphemes start to be processed before we start to write them. The results therefore revealed that orthographic representations also encode information on grapheme complexity.