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Results for “representation learning”

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At least 1,711 records · Page 95Linked to original sources
PubMed1997

[Why do we work in public hospitals? Some ideas to keep in mind].

Why do we work in public hospitals, what do we look for and what do we find working at these places? There are several answers. The heritage, the places where we learnt, the places where medicine is practiced. A model that feeds us. They cannot be improved and it is difficult to accept their limitations. However, many factors such as teaching, research and group work, encourage us to continue working in them. Variation and simultaneity, they are places with many variables, a living organism. The myth, the mother, that transmits its principles and behaviors, gives us a sense of life, feeds us and allows us to feed others. Economical reasons and performance. When performance of physicians is analyzed, positive values such as contact with patients, hours of discussion and study, quality of care, risks, dedication and training difficulties must be taken into consideration. Hospitals are not a patient assembly line. Fantasies and representations. We are participating in a health community and hospitals become a place for personal growth. Respect towards poverty. Helping the less fortunate. Knowledge and learning. Experiencing values. Forgotten words. Bioethics brought back several principles that are present in hospitals such as compassion, empathy, sweetness, service, humility, gratitude.

Chile↗
PubMed2025

Rapid assessment of clinical severity for salmonellosis cases via protein family domain analysis and machine learning.

Salmonella is a common pathogen, infecting more than a million people yearly. Rapid assessment of clinical case severity is essential for improving patient outcomes and optimizing healthcare resources. Advancements in genome sequencing technologies have enabled the analysis of bacterial genomes from many clinical cases, opening up new opportunities for precise and timely diagnosis. This study proposes a genome-based framework for identifying critical Salmonella cases before the onset of critical symptoms and facilitating early medical intervention. By leveraging protein family (Pfam) domains as the representation for genomic data, the complex genetic profiles of Salmonella cases are simplified into interpretable features. The severity levels of cases were investigated through rigorous data analysis, resulting in a set of 70 Pfam domains that could be potentially used as biomarkers. Machine Learning was employed to assess the predictive power of the curated Pfam biomarkers, achieving high accuracy (~93%) in sorting cases into critical, moderate, and mild categories. The results demonstrate the efficacy of the proposed approach. This framework highlights the potential of using bacterial genomic data in clinical decision-making, opening the window for timely personalized interventions for Salmonella infection management.

Domains of unknown function (DUFs)↗
PubMed1998

The time course of auditory perceptual learning: neurophysiological changes during speech-sound training.

Here we report that training-associated changes in neural activity can precede behavioral learning. This finding suggests that speech-sound learning occurs at a pre-attentive level which can be measured neurophysiologically (in the absence of a behavioral response) to assess the efficacy of training. Children with biologically based perceptual learning deficits as well as people who wear cochlear implants or hearing aids undergo various forms of auditory training. The effectiveness of auditory training can be difficult to assess using behavioral methods because these populations are communicatively impaired and may have attention and/or cognitive deficits. Based on our findings, if neurophysiological changes are seen during auditory training, then the training method is effectively altering the neural representation of the speech/sounds and changes in behavior are likely to follow.

Acoustic Stimulation↗
PubMed2003

Doubly distributional population codes: simultaneous representation of uncertainty and multiplicity.

Perceptual inference fundamentally involves uncertainty, arising from noise in sensation and the ill-posed nature of many perceptual problems. Accurate perception requires that this uncertainty be correctly represented, manipulated, and learned about. The choices subjects make in various psychophysical experiments suggest that they do indeed take such uncertainty into account when making perceptual inferences, posing the question as to how uncertainty is represented in the activities of neuronal populations. Most theoretical investigations of population coding have ignored this issue altogether; the few existing proposals that address it do so in such a way that it is fatally conflated with another facet of perceptual problems that also needs correct handling: multiplicity (that is, the simultaneous presence of multiple distinct stimuli). We present and validate a more powerful proposal for the way that population activity may encode uncertainty, both distinctly from and simultaneously with multiplicity.

Action Potentials↗
PubMed2005

Past experience influences object representation in working memory.

The nature of object representation in working memory is vital to establishing the capacity of working memory, which in turn shapes the limits of visual cognition and awareness. Although current theories discuss whether representations in working memory are feature-based or object-based, no theory has considered the role of past experience. However, work with humans and non-human primates suggests that once participants learn which features are important for category membership, these diagnostic features become more salient than non-diagnostic features in long-term memory and object recognition. Critically, the brain areas involved in this diagnosticity effect are also recruited during working memory tasks. We report two experiments testing whether a diagnosticity effect exists in working memory; and whether it is present when visual information is encoded into working memory, or if it is the result of maintenance within working memory. Results showed a diagnosticity effect which was present at encoding. Maintenance did not influence the nature of object representation in working memory. These findings show that the meaning we glean from our past experience has a profound influence on the nature of object representation in working memory.

Adult↗
PubMed2005

The automaticity of visual statistical learning.

The visual environment contains massive amounts of information involving the relations between objects in space and time, and recent studies of visual statistical learning (VSL) have suggested that this information can be automatically extracted by the visual system. The experiments reported in this article explore the automaticity of VSL in several ways, using both explicit familiarity and implicit response-time measures. The results demonstrate that (a) the input to VSL is gated by selective attention, (b) VSL is nevertheless an implicit process because it operates during a cover task and without awareness of the underlying statistical patterns, and (c) VSL constructs abstracted representations that are then invariant to changes in extraneous surface features. These results fuel the conclusion that VSL both is and is not automatic: It requires attention to select the relevant population of stimuli, but the resulting learning then occurs without intent or awareness.

Attention↗
PubMed1991

Neural network analyses of stochastic information: application to neurobiological data.

Simultaneous recordings from over 50 neural cells were obtained from the dragonfly ganglia. To explore the biological information processing strategies reflected therein, data analysis methods were designed for use with artificial neural networks (ANN). Most methods are degraded by different cell spike trains that vary in mean firing frequencies by well over an order of magnitude. Based on underlying cell physiology, the occurrence of each spike is likely to be a stochastic function. To overcome such degradation problems in ANN use, a gaussian spike train representation was synthesized for each cell using raw data. This representation retained the exact spiking times and provided a biologically plausible probabilistic value for the time of occurrence for each spike. A 3-layer, feed-forward, ANN was trained on these data using a gradient descent learning algorithm. The task was to predict the neural activity at time (t + 1) given the neural activity at time (t). Following training, the network sum-squared prediction error was less than 0.01. Further, the temporal reproduction of the neural firing patterns was corroborated. The results indicated that the ANN could accurately reproduce the neural firing patterns in both the spatial and temporal domain using the stochastic spike train data. Encoding parameters for the spike trains using synthesized gaussian representations were optimized. The "lesion" studies were performed to determine the contribution of each cell to ANN predictions. The capability to "fine tune" both the information representation of spike trains and the ANN architecture provides significant advantages in the analysis of biological information processing by neural cells.(ABSTRACT TRUNCATED AT 250 WORDS)

Animals↗
PubMed2003

Learning to control brain rhythms: making a brain-computer interface possible.

The ability to control electroencephalographic rhythms and to map those changes to the actuation of mechanical devices provides the basis for an assistive brain-computer interface (BCI). In this study, we investigate the ability of subjects to manipulate the sensorimotor mu rhythm (8-12-Hz oscillations recorded over the motor cortex) in the context of a rich visual representation of the feedback signal. Four subjects were trained for approximately 10 h over the course of five weeks to produce similar or differential mu activity over the two hemispheres in order to control left or right movement in a three-dimensional video game. Analysis of the data showed a steep learning curve for producing differential mu activity during the first six training sessions and leveling off during the final four sessions. In contrast, similar mu activity was easily obtained and maintained throughout all the training sessions. The results suggest that an intentional BCI based on a binary signal is possible. During a realistic, interactive, and motivationally engaging task, subjects learned to control levels of mu activity faster when it involves similar activity in both hemispheres. This suggests that while individual control of each hemisphere is possible, it requires more learning time.

Adaptation, Psychological↗
PubMed2026

Accurately Deciphering Tissue Heterogeneity From Spatial Multi-Modal and Multi-Omics With STransformer.

Advances in spatially resolved technologies enable the simultaneous acquisition of diverse data modalities within a tissue slice while preserving critical spatial context, which presents unprecedented opportunities to decipher intricate tissue heterogeneity. However, existing computational approaches lack the intrinsic flexibility to universally process both spatial multi-modal and multi-omics data. Here, we introduce STransformer, a unified deep learning framework designed to seamlessly accommodate a comprehensive landscape of spatial data. By simultaneously capturing short-range cellular interactions and tissue-wide semantic patterns, it extracts robust representations to accurately dissect complex tissue heterogeneity. Systematic evaluations across diverse species, tissue types, and data modalities highlight its profound versatility. For spatial multi-modal data, STransformer delineates intricate anatomical structures in the human cortex, uncovers pathological mechanisms in Alzheimer's disease, and characterizes dynamic spatiotemporal developmental trajectories during chicken cardiogenesis. Scaling to spatial multi-omics data, STransformer synergizes spatial transcriptomic and proteomic profiles to decipher intricate immune microenvironments within the human tonsil, and jointly analyzes spatial epigenomic and transcriptomic data to infer regulatory mechanisms in the mouse embryonic brain. Consequently, STransformer serves as a highly versatile and robust analytical framework for advancing our understanding of tissue heterogeneity and disease pathogenesis.

Multiomics↗
PubMed2002

Early cortical distinction between memories that pertain to ongoing reality and memories that don't.

Patients with anterior limbic lesions, in particular of the posterior orbitofrontal cortex, often act on the basis of memories that do not relate to ongoing reality and justify their behavior with invented stories that can mostly be traced back to real events (spontaneous confabulation). Recent studies demonstrated that the patients fail to suppress activated memory traces that do not pertain to ongoing reality. In the present study, we used a similar paradigm and high-resolution event-related potentials to explore when this suppression happens. Healthy subjects made two runs of a continuous recognition task, composed of the same set of pictures, and were requested to indicate picture recurrences only within the ongoing run. Thus, performance in the first run depends on new learning, whereas the second run requires the ability to realize whether a picture is solely familiar from its occurrence in the previous run ('distracter') or whether it has already appeared in the ongoing second run ('target'). We find that correct rejection (suppression) of currently irrelevant pictures (distracters of run 2) is associated with absent negative deflection of a frontal potential and absence of a specific cortical potential map configuration after 220-300 ms. By contrast, learning and recognition of repeatedly presented information is associated with cortical amplitude modulation after 400-480 ms. These findings indicate that by the time the content of a mental association is recognized and consolidated, its cortical representation has already been adjusted according to whether it relates to ongoing reality or not. This sequence may also explain the ability to distinguish between the memory of a true event and the memory of a thought.

Adult↗
PubMed1996

Inattention and the perception of visual feature conjunctions.

Visual processing of objects in the absence of focused attention appears to be limited. We varied the degree of attention, or visual processing, that observers paid to objects using an instruction set manipulation. In 2 experiments, subjects performed tasks that required superficial or detailed visual analysis of the objects involved. In subsequent recognition tests, information about conjunctions of shape and internal color/texture pattern was limited when only superficial visual analysis was required to encode the object. This implies that the degree of visual processing, during object encoding affects the likelihood that feature conjunctions are incorporated into the visual representation of these objects.

Adult↗
PubMed1992

Images of numbers, or "When 98 is upper left and 6 sky blue".

Some people declare that they possess a personal visual representation of numbers: some automatically "see" the numbers they are confronted with in a precise location in a structured mental space, others "associate" specific colours with given numbers. Such visuo-spatial representations of numbers were first described by Galton in 1880 but have since received little attention from psychologists. It is the aim of this article to describe these mental representations and discuss their role in number processing. The authors first review Galton's observations, and then present their own. Finally, they discuss the relevance of these visuo-spatial representations in relation to contemporary debates on number representation and calculation.

Adult↗
PubMed1997

Effects of lesions invading the postcentral gyrus on somatosensory thresholds on the face.

Patients with unilateral removals from either the parietal, frontal or temporal lobe and normal control subjects were examined on three tests of tactile sensibility. The patients with surgical excisions from the parietal lobe were subdivided into two groups: those whose lesions invaded the face area in the primary sensory cortex and those whose lesions spared this area. A significant percentage of patients with lesions that invaded the face area had mild to severe sensory deficits on the side of the face contralateral to the lesion. A much smaller number of patients had deficits on the ipsilateral side. Lesions to the face area in the primary sensory cortex were, however, associated with a lower incidence of severe and persistent sensory deficits when compared to previous results on the effects of lesions to the hand area on the sensory capacity of the hand. These results suggest that there is some preservation of sensory function after damage to the face area in the primary sensory cortex, presumably due to the bilateral representation of the face.

Adolescent↗
PubMed1998

Training 'greeble' experts: a framework for studying expert object recognition processes.

Twelve participants were trained to be experts at identifying a set of 'Greebles', novel objects that, like faces, all share a common spatial configuration. Tests comparing expert with novice performance revealed: (1) a surprising mix of generalizability and specificity in expert object recognition processes; and (2) that expertise is a multi-faceted phenomenon, neither adequately described by a single term nor adequately assessed by a single task. Greeble recognition by a simple neural-network model is also evaluated, and the model is found to account surprisingly well for both generalization and individuation using a single set of processes and representations.

Computer Simulation↗
PubMed1991

Thalamic short-term plasticity in the auditory system: associative returning of receptive fields in the ventral medial geniculate body.

The effects of classical conditioning on frequency receptive fields (RFs) in the ventral, tonotopic part of the guinea pig (Cavia porcellus) medial geniculate ventral body (MGv) during cardiac conditioning to a single tone frequency were studied. Associative frequency-specific plasticity, in which the RF was returned to the frequency of the conditioned stimulus (CS), developed if the CS frequency was within 0.125 octave of the pretraining best frequency. Otherwise, a general increase across the RF developed. Sensitization training also produced general increased responses. The frequency-specific plasticity was short-term and observed only immediately after training, whereas the general effects were maintained. These results suggest that frequency-specific RF plasticity in the MGv may be a substrate of short-term mnemonic processes that could participate in long-term storage of information and modification of the representation of the CS at the auditory cortex.

Animals↗
PubMed2005

The perception of second language sounds in early bilinguals: new evidence from an implicit measure.

Previous studies have suggested that nonnative (L2) linguistic sounds are accommodated to native language (L1) phonemic categories. However, this conclusion may be compromised by the use of explicit discrimination tests. The present study provides an implicit measure of L2 phoneme discrimination in early bilinguals (Catalan and Spanish). Participants classified the 1st syllable of disyllabic stimuli embedded in lists where the 2nd, task-irrelevant, syllable could contain a Catalan contrastive variation (/epsilon/-/e/) or no variation. Catalan dominants responded more slowly in lists where the 2nd syllable could vary from trial to trial, suggesting an indirect effect of the /epsilon/-/e/ discrimination. Spanish dominants did not suffer this interference, performing indistinguishably from Spanish monolinguals. The present findings provide implicit evidence that even proficient bilinguals categorize L2 sounds according to their L1 representations.

Adolescent↗