Language learning in infancy

Although immensely complex, speech is also a very efficient means of communication between humans. Understanding how we acquire the skills necessary for perceiving and producing speech remains an intriguing goal for research. However, while learning is likely to begin as soon as we start hearing speech, the tools for studying the language acquisition strategies in the earliest stages of development remain scarce. One prospective strategy is statistical learning. In order to investigate its role in language development, we designed a new research method. The method was tested in adults using magnetoencephalography (MEG) as a measure of cortical activity. Neonatal brain activity was measured with electroencephalography (EEG). Additionally, we developed a method for assessing the integration of seen and heard syllables in the developing brain as well as a method for assessing the role of visual speech when learning phoneme categories. The MEG study showed that adults learn statistical properties of speech during passive listening of syllables. The amplitude of the N400m component of the event-related magnetic fields (ERFs) reflected the location of syllables within pseudowords. The amplitude was also enhanced for syllables in a statistically unexpected position. The results suggest a role for the N400m component in statistical learning studies in adults. Using the same research design with sleeping newborn infants, the auditory event-related potentials (ERPs) measured with EEG reflected the location of syllables within pseudowords. The results were successfully replicated in another group of infants. The results show that even newborn infants have a powerful mechanism for automatic extraction of statistical characteristics from speech. We also found that 5-month-old infants integrate some auditory and visual syllables into a fused percept, whereas other syllable combinations are not fully integrated. Auditory syllables were paired with visual syllables possessing a different phonetic identity, and the ERPs for these artificial syllable combinations were compared with the ERPs for normal syllables. For congruent auditory-visual syllable combinations, the ERPs did not differ from those for normal syllables. However, for incongruent auditory-visual syllable combinations, we observed a mismatch response in the ERPs. The results show an early ability to perceive speech cross-modally. Finally, we exposed two groups of 6-month-old infants to artificially created auditory syllables located between two stereotypical English syllables in the formant space. The auditory syllables followed, equally for both groups, a unimodal statistical distribution, suggestive of a single phoneme category. The visual syllables combined with the auditory syllables, however, were different for the two groups, one group receiving visual stimuli suggestive of two separate phoneme categories, the other receiving visual stimuli suggestive of only one phoneme category. After a short exposure, we observed different learning outcomes for the two groups of infants. The results thus show that visual speech can influence learning of phoneme categories. Altogether, the results demonstrate that complex language learning skills exist from birth. They also suggest a role for the visual component of speech in the learning of phoneme categories.

The Networks of Learning in Technological Innovation : The Emergence of Collaboration Across Fields of Expertise

This study addresses four issues concerning technological product innovations. First, the nature of the very early phases or "embryonic stages" of technological innovation is addressed. Second, this study analyzes why and by what means people initiate innovation processes outside the technological community and the field of expertise of the established industry. In other words, this study addresses the initiation of innovation that occurs without the expertise of established organizations, such as technology firms, professional societies and research institutes operating in the technological field under consideration. Third, the significance of interorganizational learning processes for technological innovation is dealt with. Fourth, this consideration is supplemented by considering how network collaboration and learning change when formalized product development work and the commercialization of innovation advance. These issues are addressed through the empirical analysis of the following three product innovations: Benecol margarine, the Nordic Mobile Telephone system (NMT) and the ProWellness Diabetes Management System (PDMS). This study utilizes the theoretical insights of cultural-historical activity theory on the development of human activities and learning. Activity-theoretical conceptualizations are used in the critical assessment and advancement of the concept of networks of learning. This concept was originally proposed by the research group of organizational scientist Walter Powell. A network of learning refers to the interorganizational collaboration that pools resources, ideas and know-how without market-based or hierarchical relations. The concept of an activity system is used in defining the nodes of the networks of learning. Network collaboration and learning are analyzed with regard to the shared object of development work. According to this study, enduring dilemmas and tensions in activity explain the participants' motives for carrying out actions that lead to novel product concepts in the early phases of technological innovation. These actions comprise the initiation of development work outside the relevant fields of expertise and collaboration and learning across fields of expertise in the absence of market-based or hierarchical relations. These networks of learning are fragile and impermanent. This study suggests that the significance of networks of learning across fields of expertise becomes more and more crucial for innovation activities.

Learning Nonlinear Visual Processing from Natural Images

The paradigm of computational vision hypothesizes that any visual function -- such as the recognition of your grandparent -- can be replicated by computational processing of the visual input. What are these computations that the brain performs? What should or could they be? Working on the latter question, this dissertation takes the statistical approach, where the suitable computations are attempted to be learned from the natural visual data itself. In particular, we empirically study the computational processing that emerges from the statistical properties of the visual world and the constraints and objectives specified for the learning process. This thesis consists of an introduction and 7 peer-reviewed publications, where the purpose of the introduction is to illustrate the area of study to a reader who is not familiar with computational vision research. In the scope of the introduction, we will briefly overview the primary challenges to visual processing, as well as recall some of the current opinions on visual processing in the early visual systems of animals. Next, we describe the methodology we have used in our research, and discuss the presented results. We have included some additional remarks, speculations and conclusions to this discussion that were not featured in the original publications. We present the following results in the publications of this thesis. First, we empirically demonstrate that luminance and contrast are strongly dependent in natural images, contradicting previous theories suggesting that luminance and contrast were processed separately in natural systems due to their independence in the visual data. Second, we show that simple cell -like receptive fields of the primary visual cortex can be learned in the nonlinear contrast domain by maximization of independence. Further, we provide first-time reports of the emergence of conjunctive (corner-detecting) and subtractive (opponent orientation) processing due to nonlinear projection pursuit with simple objective functions related to sparseness and response energy optimization. Then, we show that attempting to extract independent components of nonlinear histogram statistics of a biologically plausible representation leads to projection directions that appear to differentiate between visual contexts. Such processing might be applicable for priming, \ie the selection and tuning of later visual processing. We continue by showing that a different kind of thresholded low-frequency priming can be learned and used to make object detection faster with little loss in accuracy. Finally, we show that in a computational object detection setting, nonlinearly gain-controlled visual features of medium complexity can be acquired sequentially as images are encountered and discarded. We present two online algorithms to perform this feature selection, and propose the idea that for artificial systems, some processing mechanisms could be selectable from the environment without optimizing the mechanisms themselves. In summary, this thesis explores learning visual processing on several levels. The learning can be understood as interplay of input data, model structures, learning objectives, and estimation algorithms. The presented work adds to the growing body of evidence showing that statistical methods can be used to acquire intuitively meaningful visual processing mechanisms. The work also presents some predictions and ideas regarding biological visual processing.

Early diagnosis of breast cancer

The greatest effect on reducing mortality in breast cancer comes from the detection and treatment of invasive cancer when it is as small as possible. Although mammography screening is known to be effective, observer errors are frequent and false-negative cancers can be found in retrospective studies of prior mammograms. In the year 2001, 67 women with 69 surgically proven cancers detected at screening in the Mammography Centre of Helsinki University Hospital had previous mammograms as well. These mammograms were analyzed by an experienced screening radiologist, who found that 36 lesions were already visible in previous screening rounds. CAD (Second Look v. 4.01) detected 23 of these missed lesions. Eight readers with different kinds of experience with mammography screening read the films of 200 women with and without CAD. These films included 35 of those missed lesions and 16 screen-detected cancers. CAD sensitivity was 70.6% and specificity 15.8%. Use of CAD lengthened the mean time spent for readings but did not significantly affect readers sensitivities or specificities. Therefore the use of applied version of CAD (Second Look v. 4.01) is questionable. Because none of those eight readers found exactly same cancers, two reading methods were compared: summarized independent reading (at least a single cancer-positive opinion within the group considered decisive) and conference consensus reading (the cancer-positive opinion of the reader majority was considered decisive). The greatest sensitivity of 74.5% was achieved when the independent readings of 4 best-performing readers were summarized. Overall the summarized independent readings were more sensitive than conference consensus readings (64.7% vs. 43.1%) while there was far less difference in mean specificities (92.4% vs. 97.7%). After detecting suspicious lesion, the radiologist has to decide what is the most accurate, fast, and cost-effective means of further work-up. The feasibility of FNAC and CNB in the diagnosis of breast lesions was compared in non-randomised, retrospective study of 580 (503 malignant) breast lesions of 572 patients. The absolute sensitivity for CNB was better than for FNAC, 96% (206/214) vs. 67% (194/289) (p < 0.0001). An additional needle biopsy or surgical biopsy was performed for 93 and 62 patients with FNAC, but for only 2 and 33 patients with CNB. The frequent need of supplement biopsies and unnecessary axillary operations due to false-positive findings made FNAC (294 ) more expensive than CNB (223 ), and because the advantage of quick analysis vanishes during the overall diagnostic and referral process, it is recommendable to use CNB as initial biopsy method.

Current Care Guidelines for Cardiopulmonary Resuscitation : Implementation, skills and attitudes

Background: The national resuscitation guidelines were published in Finland in 2002 and are based on international guidelines published in 2000. The main goal of the national guidelines, available on the Internet free of charge, is early defibrillation by nurses in an institutional setting. Aim: To study possible changes in cardiopulmonary resuscitation (CPR) practices, especially concerning early defibrillation, nurses and students attitudes of guideline implementation and nurses and students ability to implement the guideline recommendations in clinical practices after publication of the Current Care (CC) guidelines for CPR 2002. Material and methods: CPR practices in Finnish health centres; especially concerning rapid defibrillation programmes, as well as the implementation of CC guidelines for CPR was studied in a mail survey to chief physicians of every health centre in Finland (Study I). The CPR skills using an automated external defibrillator (AED) were compared in a study including Objective stuctured clinical examination (OSCE) of resuscitation skills of nurses and nursing students in Finnish and Swedish hospital and institution (Studies II, III). Attitudes towards CPR-D and CPR guidelines among medical and nursing students and secondary hospital nurses were studied in surveys (Studies IV, V). The nurses receiving different CPR training were compared in a randomized trial including OSCE of CPR skills of nurses in Finnish Hospital (Study VI). Results: Two years after the publication, 40.7% of Finnish health centres used national resuscitation guidelines. The proportion of health centres having at least one AED (66%) and principle of nurse-performed defibrillation without the presence of a physician (42%) had increased. The CPR-D training was estimated to be insufficient regarding basic life support and advanced life support in the majority of health centres (Study I). CPR-D skills of nurses and nursing students in two specific Swedish and Finnish hospitals and institutions (Study II and III) were generally inadequate. The nurses performed better than the students and the Swedish nurses surpassed the Finnish ones. Geriatric nurses receiving traditional CPR-D training performed better than those receiving an Internet-based course but both groups failed to defibrillate within 60 s. Thus, the performance was not satisfactory even two weeks after traditional training (Study VI). Unlike the medical students, the nursing students did not feel competent to perform procedures recommended in the cardiopulmonary resuscitation guidelines including the defibrillation. However, the majority of nursing students felt confident about their ability to perform basic life support. The perceived ability to defibrillate correlated significantly with a positive attitude towards nurse-performed defibrillation and negatively with fear of damaging the patient s heart by defibrillation (Study IV). After the educational intervention, the nurses found their level of CPR-D capability more sufficient than before and felt more confident about their ability to perform defibrillation themselves. A negative attitude toward defibrillation correlated with perceived negative organisational attitudes toward cardiopulmonary resuscitation guidelines. After CPR-D education in the hospital, the majority (64%) of nurses hesitated to perform defibrillation because of anxiety and 27 % hesitated because of fear of injuring the patient. Also a negative personal attitude towards guidelines increased markedly after education (Study V). Conclusions: Although a significant change had occurred in resuscitation practices in primary health care after publication of national cardiopulmonary resuscitation guidelines the participants CPR-D skills were not adequate according to the CPR guidelines. The current way of teaching is unlikely to result in participants being able to perform adequate and rapid CPR-D. More information and more frequent training are needed to diminish anxiety concerning defibrillation. Negative beliefs and attitudes toward defibrillation affect the nursing students and nurses attitudes toward cardiopulmonary resuscitation guidelines. CPR-D education increased the participants self-confidence concerning CPR-D skills but it did not reduce their anxiety. AEDs have replaced the manual defibrillators in most institutions, but in spite of the modern devices the anxiety still exists. Basic education does not provide nursing students with adequate CPR-D skills. Thus, frequent training in the workplace has vital importance. This multi-professional program supported by the administration might provide better CPR-D skills. Distance learning alone cannot substitute for traditional small-group learning, tutored hands-on training is needed to learn practical CPR-D skills. Standardized testing would probably help controlling the quality of learning. Training of group-working skills might improve CPR performance.