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Implicit learning of ignored visual context.

Humans process a visual display more efficiently when they encounter it for a second time, showing learning of the display. This study tests whether implicit learning of complex visual contexts depends on attention. Subjects searched for a white target among black and white distractors. When the locations of the target and the attended set (white distractors) were repeated, search speed was enhanced, but when the locations of the target and the ignored set (black distractors) were repeated, search speed was unaffected. This suggests that the expression of learning depends on attention. However, during the transfer test, when the previously ignored set now was attended, it immediately facilitated performance. In contrast, when the previously attended set now was ignored, it no longer enhanced search speed. We conclude that the expression of visual implicit learning depends on attention but that latent learning of repeated information does not.

Adolescent↗

Task-specific internal models for kinematic transformations.

Numerous studies of motor learning have focused on how people adapt their reaching movements to novel dynamic and visuomotor perturbations that alter the actual or visually perceived motion of the hand. An important finding from this work is that learning of novel dynamics generalizes across different movement tasks. Thus adaptation to an unusual force field generalizes from center-out reaching movements to circular movements (Conditt et al. 1997). This suggests that subjects acquired an internal model of the dynamic environment that could be used to determine the motor commands needed for untrained movements. Using a task interference paradigm, we investigated whether transfer across tasks is also observed when learning visuomotor transformations. On day 1, all subjects adapted to a +30 degrees rotation while making center-out-and-back reaching movements. After a delay of 5 min, different groups of subjects then adapted to a -30 degrees rotation while performing either a continuous tracking task, a figure-eight drawing task, or the center-out-and-back reaching task. All subjects were then retested the next day on the +30 degrees rotation in the reaching task. As expected, subjects who experienced the opposing rotations while performing the same reaching tasks showed no retention of learning for the first rotation when tested on day 2 (Krakauer et al. 1999). In contrast, such retrograde interference was not observed in the two groups of subjects who experienced the opposing rotations while performing different tasks. In fact, their performance on day 2 was similar to that of control subjects who never experienced the opposite rotation. This lack of interference suggests that memory resources for visuomotor rotations are task specific.

Adult↗

Building a learning organization.

Continuous improvement programs are proliferating as corporations seek to better themselves and gain an edge. Unfortunately, however, failed programs far outnumber successes, and improvement rates remain low. That's because most companies have failed to grasp a basic truth. Before people and companies can improve, they first must learn. And to do this, they need to look beyond rhetoric and high philosophy and focus on the fundamentals. Three critical issues must be addressed before a company can truly become a learning organization, writes HBS Professor David Garvin. First is the question of meaning: a well-grounded, easy-to-apply definition of a learning organization. Second comes management: clearer operational guidelines for practice. Finally, better tools for measurement can assess an organization's rate and level of learning. Using these "three Ms" as a framework, Garvin defines learning organizations as skilled at five main activities: systematic problem solving, experimentation with new approaches, learning from past experience, learning from the best practices of others, and transferring knowledge quickly and efficiently throughout the organization. And since you can't manage something if you can't measure it, a complete learning audit is a must. That includes measuring cognitive and behavioral changes as well as tangible improvements in results. No learning organization is built overnight. Success comes from carefully cultivated attitudes, commitments, and management processes that accrue slowly and steadily. The first step is to foster an environment conducive to learning. Analog Devices, Chaparral Steel, Xerox, GE, and other companies provide enlightened examples.

Diffusion of Innovation↗

Pigeon same-different concept learning with multiple stimulus classes.

Two experiments examined the acquisition and transfer of a complex same-different discrimination by pigeons. With the use of a 2-alternative choice task, 5 pigeons were reinforced for discriminating odd-item Different displays in which a contrasting target ws present, from Same displays, in which all elements were identical. Four different types of same-different displays were concurrently tested. The display types differed in their configuration (texture vs. visual search organization), the nature of their elements (small and large colored shapes; pictures of birds, flowers, fish, and humans), and the processing demands required by their global-local element arrangement. Despite these differences, the pigeons learned to discriminate all 4 display types at the same rate and showed positive discrimination transfer to novel examples of each type, suggesting that a single generalized rule was used to discriminate all display types. These results provide some of the strongest evidence yet that pigeons, like many primates, can learn an abstract, visually mediated same-different concept.

Animals↗

Monkey memory: same/different concept learning, serial probe acquisition, and probe delay effects.

Three rhesus monkeys were trained and tested in a same/different task with six successive sets of 70 item pairs to an 88% accuracy on each set. Their poor initial transfer performance (55% correct) with novel stimuli improved dramatically to 85% correct following daily item changes in the training stimuli. They acquired a serial-probe-recognition (SPR) task with variable (1-6) item list lengths. This SPR acquisition, although gradual, was more rapid for the monkeys than for pigeons similarly trained. Testing with a fixed list length of four items at different delays between the last list item and the probe test item revealed changes in the serial-position function: a recency effect (last items remembered well) for 0-s delay, recency and primacy effects (first and last list items remembered well) for 1-, 2-, and 10-s delays, and only a primacy effect for the longest 30-s delay. These results are compared with similar ones from pigeons and are discussed in relation to theories of memory processing.

Animals↗

Can macaques perceive place of articulation from formant transition information?

An important problem in speech perception is to determine how humans extract the perceptually invariant place of articulation information in the speech wave across variable acoustic contexts. Although analyses have been developed that attempted to classify the voiced stops /b/ versus /d/ from stimulus onset information, most of the human perceptual research to date suggests that formant transition information is more important than onset information. The purpose of the present study was to determine if animal subjects, specifically Japanese macaque monkeys, are capable of categorizing /b/ versus /d/ in synthesized consonant-vowel (CV) syllables using only formant transition information. Three monkeys were trained to differentiate CV syllables with a "go-left" versus a "go-right" label. All monkeys first learned to differentiate a /za/ versus /da/ manner contrast and easily transferred to three new vowel contexts /[symbol: see text], epsilon, I/. Next, two of the three monkeys learned to differentiate a /ba/ versus /da/ stop place contrast, but were unable to transfer it to the different vowel contexts. These results suggest that animals may not use the same mechanisms as humans do for classifying place contrasts, and call for further investigation of animal perception of formant transition information versus stimulus onset information in place contrasts.

Animals↗

Identification and classification of autoantibody repertoires (Western blots) with a pattern recognition algorithm by an artificial neural network.

The screening of sera for autoantibodies with Western blots reveals complex repertoires. the compostion of such repertoires depends on genetic control of autoantibody-producing cells, the individual's history of exposure to its own and to foreign antigens, and also on the presence of autoimmune diseases. Our method shows how staining patterns of Western blots can be recoded as binary or grey-value vectors. Vectors are transferred to artificial neural networks for learning. Artificial neural networks are able to recognize group-specific antibody binding patterns. Staining patterns can be attributed to diagnostic groups. This may support diagnostic procedures.

Algorithms↗

Adopting adoption.

The common occurrence of adoption among birds and mammals presents evolutionary biologists with an explanatory challenge. The benefits to adoptees are self-evident, but the benefits to the adopter(s), the origin of the set of behaviours that constitute 'adoptive' behaviour, and the conditions for its spread in populations are not always clear. Explanations in terms of direct and indirect benefits to adopters and adoptees, and in terms of conflict between them have been suggested to account for the current functions and the evolutionary origin of 'adoptive' behaviour. In this paper we emphasize one aspect of the parenting behaviour associated with adoption that has been neglected: we suggest that adoption in birds and mammals is a route for the transfer of learnt information through social learning of patterns of behaviour, including styles of parenting. By using simple models we show that learning parenting from non-parents may provide additional opportunities for the spread of the 'adoptive' behaviour itself, even when it has no selective advantage. We also offer an additional explanation for the adaptive significance of adoption for both adopters and adoptees. Our 'match-making' hypothesis suggests that in some cases, by adopting foreign young, parents provide their genetic young with future ecologically compatible, but genetically unrelated, mates. Copyright 1998 The Association for the Study of Animal Behaviour. Copyright 1998 The Association for the Study of Animal Behaviour.

Journal Article↗

Training reading fluency in dysfluent readers with high reading accuracy: word specific effects but low transfer to untrained words.

The outcome of a training study attempting to increase German speaking poor readers' reading fluency is reported. The aim of the training was to help children establish orthographic representations for a limited set of training words as well as for high-frequency onset clusters. A sample of 20 dysfluent readers (8-11 years) received a computerized training of repeated reading of a limited set of 32 training words over a period of up to 25 days. Each day training words were presented up to six times with a special emphasis on the onset segment. Post-tests were carried out one and five weeks after the last training day. A considerable decrease in reading times could be achieved for the trained words that remained stable for both post-tests, however, even for the limited set of training words a remarkable amount of repetitions did not lead to age adequate word recognition speed. Generalization to untrained words starting with a trained onset cluster (transfer words) was statistically reliable but small.

Child↗