Incremental neural networks for function approximation

A new strategy for incremental building of multilayer feedforward neural networks is proposed in the context of approximation of functions from R-p to R-q using noisy data. A stopping criterion based on the properties of the noise is also proposed. Experimental results for both artificial and real data are performed and two alternatives of the proposed construction strategy are compared.

Plasticity of lifespan: a reaction norm perspective.

It is a well-appreciated fact that in many organisms the process of ageing reacts highly plastically, so that lifespan increases or decreases when the environment changes. The perhaps best-known example of such lifespan plasticity is dietary restriction (DR), a phenomenon whereby reduced food intake without malnutrition extends lifespan (typically at the expense of reduced fecundity) and which has been documented in numerous species, from invertebrates to mammals. For the evolutionary biologist, DR and other cases of lifespan plasticity are examples of a more general phenomenon called phenotypic plasticity, the ability of a single genotype to produce different phenotypes (e.g. lifespan) in response to changes in the environment (e.g. changes in diet). To analyse phenotypic plasticity, evolutionary biologists (and epidemiologists) often use a conceptual and statistical framework based on reaction norms (genotype-specific response curves) and genotype × environment interactions (G × E; differences in the plastic response among genotypes), concepts that biologists who are working on molecular aspects of ageing are usually not familiar with. Here I briefly discuss what has been learned about lifespan plasticity or, more generally, about plasticity of somatic maintenance and survival ability. In particular, I argue that adopting the conceptual framework of reaction norms and G × E interactions, as used by evolutionary biologists, is crucially important for our understanding of the mechanisms underlying DR and other forms of lifespan or survival plasticity.

New insights into the role of microRNAs in pancreatic ß-cell maturation and plasticity

Le diabète est une maladie chronique caractérisée par une élévation du taux de sucre dans le sang aussi appelé « glycémie » reflétant un état pathologique. L'élévation de la glycémie au long cours a des répercussions délétères sur nombreux de nos tissus et organes d'où l'apparition de complications sévères chez les sujets diabétiques pouvant atteindre les yeux, les reins, le système nerveux, le système cardiovasculaire et les membres inférieurs. La carence en une hormone essentielle à notre organisme, l'insuline, est au coeur du développement de la maladie. L'insuline induit la captation du glucose circulant dans le sang en excès suite à une prise alimentaire riche en glucides et favorise son utilisation et éventuellement son stockage dans les tissus tels que le foie, le tissu adipeux et les muscles. Ainsi, l'insuline est vitale pour réguler et maintenir stable notre niveau de glycémie. Les cellules bêta du pancréas sont les seules entités de notre corps capables de produire de l'insuline et une perte de fonctionnalité associée à leur destruction ont été mises en cause dans le processus pathologique du diabète de type 2. Cependant la pleine fonctionnalité et la maturation des cellules bêta n'apparaissent qu'après la naissance lorsque le pancréas en développement a atteint sa masse adulte définitive. Enfin, une fois la masse des cellules bêta définitive établie, leur nombre et volume restent relativement constants au cours de la vie adulte chez un sujet sain. Néanmoins, au cours de périodes critiques les besoins en insuline sont augmentés tel qu'observé chez les femmes enceintes et les personnes obèses qui ont une perte de sensibilité à l'insuline qui se traduit par la nécessité de sécréter plus d'insuline afin de maintenir une glycémie normale. Dans l'hypothèse où la compensation n'a pas lieu ou n'est pas aboutie, le diabète se développe. Le processus de maturation postnatale ainsi que les événements compensatoires sont donc des étapes essentielles et de nombreuses questions sont encore non résolues concernant l'identification des mécanismes les régulant. Parmi les acteurs potentiels figurent de petites molécules d'ARN découvertes récemment appelées microARNs et qui ont été rapidement suggérées très prometteuses dans l'identification de nouvelles cibles thérapeutiques dans le cadre du diabète et d'autres pathologies. Les microARNs vont réguler l'expression de notre génome sans en modifier la séquence, phénomène également appelé épigénétique, ce qui résulte en des différences de comportement et de fonction cellulaires. Les microARNs sont donc susceptibles de jouer un rôle clé dans l'ensemble des processus biologiques et notre environnement associé à nos prédispositions génétiques peuvent grandement modifier leur niveau et donc leur action, qui à son tour se répercutera sur notre état physiologique. En effet nous avons identifié des changements de microARNs dans les cellules d'îlots pancréatiques de modèles animaux (rats et souris) associés à un état de résistance à l'insuline (grossesse et obésité). Par le biais d'expériences in vitro sur des cellules bêta extraites de rats et conservées en culture, nous avons pu analyser de plus près l'implication des microARNs dans la capacité des cellules bêta à sécréter de l'insuline mais aussi à se multiplier et à survivre au sein d'un environnement toxique. Ainsi, nous avons identifié des microARNs qui participent positivement à la compensation des cellules bêta, sous la direction d'hormones telles les estrogènes ou d'une hormone libérée par l'intestin au cours de la digestion (l'inerétine GLP1) et qui est largement utilisée comme agent thérapeutique dans la médication contre le diabète. Dans un second temps nous avons utilisé une stratégie similaire afin de déterminer le rôle de microARNs préalablement détectés comme étant changés au cours du développement postnatal des cellules bêta chez le rat. Cette étude a également mené à l'identification de microARNs participant à la maturation et à l'expansion de la masse des cellules bêta sous l'influence de la composition du régime alimentaire et des besoins en insuline adéquats qui en dépendent. Ces études apportent la vision de nouveaux mécanismes moléculaires impliquant les microARNs et démontrant leur importance pour le bon fonctionnement des cellules bêta et leur capacité d'adaptation à l'environnement. -- Les cellules bêta sont une composante des îlots pancréatiques de Langerhans et sont des cellules hautement différenciées qui ont l'unique capacité de sécréter de l'insuline sous l'influence des nutriments suite à une prise alimentaire. L'insuline facilite l'incorporation de glucose dans ses tissus cibles tels le foie, le tissu adipeux et les muscles. Bien que les besoins en insuline soient relativement constants au cours de la vie d'un individu sain, certaines conditions associées à un état de résistance à l'insuline, telles la grossesse ou l'obésité, requièrent une libération d'insuline majorée. En cas de résistance à l'insuline, une dysfonction des cellules bêta plus ou moins associée à leur mort cellulaire, conduisent à une sécrétion d'insuline insuffisante et au développement d'une hyperglycémie chronique, caractéristique du diabète de type 2. Jusqu'à présent, les mécanismes moléculaires sous- jacents à la compensation des cellules bêta ou encore menant à leur dysfonction restent peu connus. Découverts récemment, les petits ARNs non-codant appelés microARNs (miARNs), suscitent un intérêt grandissant de par leur potentiel thérapeutique pour la prise en charge et le traitement du diabète. Les miARNs sont de puissants régulateurs de l'expression génique qui lient directement le 3'UTR de leurs ARN messagers cibles afin d'inhiber leur traduction ou d'induire leur dégradation, ce qui leur permet de contrôler des fonctions biologiques multiples. Ainsi, nous avons pris pour hypothèse que les miARNs pourraient jouer un rôle essentiel en maintenant la fonction des cellules bêta et des processus compensatoires afin de prévenir le développement du diabète. Lors d'une première étude, une analyse transcriptomique a permis l'identification de miARNs différemment exprimés au sein d'îlots pancréatiques de rattes gestantes. Parmi eux, le miR-338-3p a démontré la capacité de promouvoir la prolifération et la survie des cellules bêta exposées à des acides gras saturés et des cytokines pro-inflammatoires, sans altérer leur propriété sécrétrice d'insuline. Nous avons également identifié deux hormones reconnues pour leurs propriétés bénéfiques pour la physiologie de la cellule bêta, l'estradiol et l'incrétine GLP1, qui régulent les niveaux du miR-338-3p. Ce miARN intègre parfaitement les voies de signalisation de ces deux hormones dépendantes de l'AMP cyclique, afin de contrôler l'expression de nombreux gènes conduisant à son action biologique. Dans un projet ultérieur, notre objectif était de déterminer la contribution de miARNs dans l'acquisition de l'identité fonctionnelle des cellules bêta en période postnatale. En effet, directement après la naissance les cellules bêta sont reconnues pour être encore immatures et incapables de sécréter de l'insuline spécifiquement en réponse à l'élévation de la glycémie. Au contraire, la réponse insulinique induite par les acides aminés ainsi que la biosynthèse d'insuline sont déjà fonctionnelles. Nos recherches ont permis de montrer que les changements de miARNs corrélés avec l'apparition du phénotype sécrétoire en réponse au glucose, sont régis par la composition nutritionnelle du régime alimentaire et des besoins en insuline qui en découlent. En parallèle, le taux de prolifération des cellules bêta est considérablement réduit. Les miARNs que nous avons étudiés coordonnent des changements d'expression de gènes clés impliqués dans l'acquisition de propriétés vitales de la cellule bêta et dans la maintenancé de son identité propre. Enfin, ces études ont permis de clairement démontrer l'importance des miARNs dans la régulation de la fonction des cellules bêta pancréatiques. -- Beta-cells are highly differentiated cells localized in the pancreatic islets and are characterized by the unique property of secreting insulin in response to nutrient stimulation after meal intake. Insulin is then in charge of facilitating glucose uptake by insulin target tissues such as liver, adipose tissue and muscles. Despite insulin needs stay more or less constant throughout life of healthy individuals, there are circumstances such as during pregnancy or obesity which are associated to insulin resistance, where insulin needs are increased. In this context, defects in beta-cell function, sometimes associated with beta-cell loss, may result in the release of inappropriate amounts of insulin leading to chronic hyperglycemia, properly defined as type 2 diabetes mellitus. So far, the mechanisms underlying beta- cell compensation as well as beta-cell failure remain to be established. The recently discovered small non-coding RNAs called microRNAs (miRNAs) are emerging as interesting therapeutic targets and are bringing new hope for the treatment of diabetes. miRNAs display a massive potential in regulating gene expression by directly binding to the 3'UTR of messenger RNAs and by inhibiting their translation and/or stability, enabling them to modify a wide range of biological functions. In view of this, we hypothesized that miRNAs may play an essential role in preserving the functional beta-cell mass and permitting to fight against beta-cell exhaustion and decompensation that can lead to diabetes development. In a first study, global profiling in pancreatic islets of pregnant rats, a model of insulin resistance, led to the identification of a set of differentially expressed miRNAs. Among them, miR-338- 3p was found to promote beta-cell proliferation and survival upon exposure of islet cells to pro- apoptotic stimuli such as saturated fatty acids or pro-inflammatory cytokines, without impairment in their capacity to release insulin. We also discovered that miR-338-3p changes are driven by two hormones, the estradiol and the incretin GLP1, both well known for their beneficial impact on beta- cell physiology. Consistently, we found that miR-338-3p integrates the cAMP-dependent signaling pathways regulated by these two hormones in order to control the expression of numerous genes and execute its biological functions. In a second project, we aimed at determining whether miRNAs contribute to the acquisition of beta-cell identity. Indeed, we confirmed that right after birth beta-cells are still immature and are unable to secrete insulin specifically in response to elevated concentrations of glucose. In contrast, amino acid-stimulated insulin release as well as insulin biosynthesis are already fully functional. In parallel, newborn beta-cells are proliferating intensively within the expanding pancreas. Interestingly, we demonstrated that the miRNA changes and the subsequent acquisition of glucose responsiveness is influenced by the diet composition and the resulting insulin needs. At the same time, beta-cell proliferation declines. The miRNAs that we have identified orchestrate expression changes of essential genes involved in the acquisition of specific beta-cell properties and in the maintenance of a mature beta-cell identity. Altogether, these studies clearly demonstrate that miRNAs play important roles in the regulation of beta-cell function.

Desenvolvimento e análise de uma rede neural artificial para estimativa da erosividade da chuva para o Estado de São Paulo

O conhecimento do valor da erosividade da chuva (R) de determinada localidade é fundamental para a estimativa das perdas de solo feitas a partir da Equação Universal de Perdas de Solo, sendo, portanto, de grande importância no planejamento conservacionista. A fim de obter estimativas do valor de R para localidades onde este é desconhecido, desenvolveu-se uma rede neural artificial (RNA) e analisou-se a acurácia desta com o método de interpolação "Inverso de uma Potência da Distância" (ID). Comparando a RNA desenvolvida com o método de interpolação ID, verificou-se que a primeira apresentou menor erro relativo médio na estimativa de R e melhor índice de confiança, classificado como "Ótimo", podendo, portanto, ser utilizada no planejamento de uso, manejo e conservação do solo no Estado de São Paulo.

Consequences of genetic erosion on fitness and phenotypic plasticity in European tree frog populations (Hyla arborea).

The detrimental effects of genetic erosion on small isolated populations are widely recognized contrary to their interactions with environmental changes. The ability of genotypes to plastically respond to variability is probably essential for the persistence of these populations. Genetic erosion impact may be exacerbated if inbreeding affects plastic responses or if their maintenance were at higher phenotypic costs. To understand the interplay 'genetic erosion-fitness-phenotypic plasticity', we experimentally compared, in different environments, the larval performances and plastic responses to predation of European tree frogs (Hyla arborea) from isolated and connected populations. Tadpoles from isolated populations were less performant, but the traits affected were environmental dependant. Heterosis observed in crosses between isolated populations allowed attributing their low fitness to inbreeding. Phenotypic plasticity can be maintained in the face of genetic erosion as inducible defences in response to predator were identical in all populations. However, the higher survival and developmental costs for isolated populations in harsh conditions may lead to an additional fitness loss for isolated populations.

Phenotypic plasticity in the Caribbean sponge Callyspongia vaginalis (Porifera: Haplosclerida)

Sponge morphological plasticity has been a long-standing source of taxonomic difficulty. In the Caribbean, several morphotypes of the sponge Callyspongia vaginalis have been observed. To determine the taxonomic status of three of these morphotypes and their relationship with the congeneric species C. plicifera and C. fallax, we compared the spicule composition, spongin fiber skeleton and sequenced fragments of the mitochondrial genes 16S and COI and nuclear genes 28S and 18S ribosomal RNA. Phylogenetic analyses with ribosomal markers 18S and 28S rRNA confirmed the position of our sequences within the Callyspongiidae. None of the genetic markers provided evidence for consistent differentiation among the three morphotypes of C. vaginalis and C. fallax, and only C. plicifera stood as a distinct species. The 16S mtDNA gene was the most variable molecular marker for this group, presenting a nucleotide variability (π = 0.024) higher than that reported for COI. Unlike recent studies for other sponge genera, our results indicate that species in the genus Callyspongia maintain a high degree of phenotypic plasticity, and that morphological characteristics may not reflect reproductive boundaries in C. vaginalis.

Regulation of GABA(A) and glutamate receptor expression, synaptic facilitation and long-term potentiation in the hippocampus of prion mutant mice

Background: Prionopathies are characterized by spongiform brain degeneration, myoclonia, dementia, and periodic electroencephalographic (EEG) disturbances. The hallmark of prioniopathies is the presence of an abnormal conformational isoform (PrP(sc)) of the natural cellular prion protein (PrP(c)) encoded by the Prnp gene. Although several roles have been attributed to PrP(c), its putative functions in neuronal excitability are unknown. Although early studies of the behavior of Prnp knockout mice described minor changes, later studies report altered behavior. To date, most functional PrP(c) studies on synaptic plasticity have been performed in vitro. To our knowledge, only one electrophysiological study has been performed in vivo in anesthetized mice, by Curtis and coworkers. They reported no significant differences in paired-pulse facilitation or LTP in the CA1 region after Schaffer collateral/commissural pathway stimulation. Principal Findings: Here we explore the role of PrP(c) expression in neurotransmission and neural excitability using wild-type, Prnp -/- and PrP(c)-overexpressing mice (Tg20 strain). By correlating histopathology with electrophysiology in living behaving mice, we demonstrate that both Prnp -/- mice but, more relevantly Tg20 mice show increased susceptibility to KA, leading to significant cell death in the hippocampus. This finding correlates with enhanced synaptic facilitation in paired-pulse experiments and hippocampal LTP in living behaving mutant mice. Gene expression profiling using Illumina microarrays and Ingenuity pathways analysis showed that 129 genes involved in canonical pathways such as Ubiquitination or Neurotransmission were co-regulated in Prnp -/- and Tg20 mice. Lastly, RT-qPCR of neurotransmission-related genes indicated that subunits of GABA(A) and AMPA-kainate receptors are co-regulated in both Prnp -/- and Tg20 mice. Conclusions/Significance: Present results demonstrate that PrP(c) is necessary for the proper homeostatic functioning of hippocampal circuits, because of its relationships with GABA(A) and AMPA-Kainate neurotransmission. New PrP(c) functions have recently been described, which point to PrP(c) as a target for putative therapies in Alzheimer's disease. However, our results indicate that a "gain of function" strategy in Alzheimer's disease, or a "loss of function" in prionopathies, may impair PrP(c) function, with devastating effects. In conclusion, we believe that present data should be taken into account in the development of future therapies.

Dynamic properties of human brain structure: learning-related changes in cortical areas and associated fiber connections.

Recent findings in neuroscience suggest that adult brain structure changes in response to environmental alterations and skill learning. Whereas much is known about structural changes after intensive practice for several months, little is known about the effects of single practice sessions on macroscopic brain structure and about progressive (dynamic) morphological alterations relative to improved task proficiency during learning for several weeks. Using T1-weighted and diffusion tensor imaging in humans, we demonstrate significant gray matter volume increases in frontal and parietal brain areas following only two sessions of practice in a complex whole-body balancing task. Gray matter volume increase in the prefrontal cortex correlated positively with subject's performance improvements during a 6 week learning period. Furthermore, we found that microstructural changes of fractional anisotropy in corresponding white matter regions followed the same temporal dynamic in relation to task performance. The results make clear how marginal alterations in our ever changing environment affect adult brain structure and elucidate the interrelated reorganization in cortical areas and associated fiber connections in correlation with improvements in task performance.

Learning-induced plasticity in auditory spatial representations revealed by electrical neuroimaging.

Auditory spatial representations are likely encoded at a population level within human auditory cortices. We investigated learning-induced plasticity of spatial discrimination in healthy subjects using auditory-evoked potentials (AEPs) and electrical neuroimaging analyses. Stimuli were 100 ms white-noise bursts lateralized with varying interaural time differences. In three experiments, plasticity was induced with 40 min of discrimination training. During training, accuracy significantly improved from near-chance levels to approximately 75%. Before and after training, AEPs were recorded to stimuli presented passively with a more medial sound lateralization outnumbering a more lateral one (7:1). In experiment 1, the same lateralizations were used for training and AEP sessions. Significant AEP modulations to the different lateralizations were evident only after training, indicative of a learning-induced mismatch negativity (MMN). More precisely, this MMN at 195-250 ms after stimulus onset followed from differences in the AEP topography to each stimulus position, indicative of changes in the underlying brain network. In experiment 2, mirror-symmetric locations were used for training and AEP sessions; no training-related AEP modulations or MMN were observed. In experiment 3, the discrimination of trained plus equidistant untrained separations was tested psychophysically before and 0, 6, 24, and 48 h after training. Learning-induced plasticity lasted <6 h, did not generalize to untrained lateralizations, and was not the simple result of strengthening the representation of the trained lateralizations. Thus, learning-induced plasticity of auditory spatial discrimination relies on spatial comparisons, rather than a spatial anchor or a general comparator. Furthermore, cortical auditory representations of space are dynamic and subject to rapid reorganization.

Control of thrombin signaling through PI3K is a mechanism underlying plasticity between hair follicle dermal sheath and papilla cells.

In hair follicles, dermal papilla (DP) and dermal sheath (DS) cells exhibit striking levels of plasticity, as each can regenerate both cell types. Here, we show that thrombin induces a phosphoinositide 3-kinase (PI3K)-Akt pathway-dependent acquisition of DS-like properties by DP cells in vitro, involving increased proliferation rate, acquisition of ;myofibroblastic' contractile properties and a decreased capacity to sustain growth and survival of keratinocytes. The thrombin inhibitor protease nexin 1 [PN-1, also known as SERPINE2) regulates all those effects in vitro. Accordingly, the PI3K-Akt pathway is constitutively activated and expression of myofibroblastic marker smooth-muscle actin is enhanced in vivo in hair follicle dermal cells from PN-1(-/-) mice. Furthermore, physiological PN-1 disappearance and upregulation of the thrombin receptor PAR-1 (also known as F2R) during follicular regression in wild-type mice also correlate with such changes in DP cell characteristics. Our results indicate that control of thrombin signaling interferes with hair follicle dermal cells plasticity to regulate their function.

Quality coding by neural populations in the early olfactory pathway: analysis using information theory

In this article, we analyze the ability of the early olfactory system to detect and discriminate different odors by means of information theory measurements applied to olfactory bulb activity images. We have studied the role that the diversity and number of receptor neuron types play in encoding chemical information. Our results show that the olfactory receptors of the biological system are low correlated and present good coverage of the input space. The coding capacity of ensembles of olfactory receptors with the same receptive range is maximized when the receptors cover half of the odor input space - a configuration that corresponds to receptors that are not particularly selective. However, the ensemble's performance slightly increases when mixing uncorrelated receptors of different receptive ranges. Our results confirm that the low correlation between sensors could be more significant than the sensor selectivity for general purpose chemo-sensory systems, whether these are biological or biomimetic.

Regional reproducibility of calibrated BOLD functional MRI: implications for the study of cognition and plasticity.

Calibrated BOLD fMRI is a promising alternative to the classic BOLD contrast due to its reduced venous sensitivity and greater physiological specificity. The delayed adoption of this technique for cognitive studies may stem partly from a lack of information on the reproducibility of these measures in the context of cognitive tasks. In this study we have explored the applicability and reproducibility of a state-of-the-art calibrated BOLD technique using a complex functional task at 7 tesla. Reproducibility measures of BOLD, CBF, CMRO2 flow-metabolism coupling n and the calibration parameter M were compared and interpreted for three ROIs. We found an averaged intra-subject variation of CMRO2 of 8% across runs and 33% across days. BOLD (46% across runs, 36% across days), CBF (33% across runs, 46% across days) and M (41% across days) showed significantly higher intra-subject variability. Inter-subject variability was found to be high for all quantities, though CMRO2 was the most consistent across brain regions. The results of this study provide evidence that calibrated BOLD may be a viable alternative for longitudinal and cognitive MRI studies.

The Island of Drive. Representations, somatic states and the origin of drive

Freud defined the drive as "a concept on the frontier between the mental and the somatic". Today this view that was based on clinical observations interpreted within the psychoanalytical framework, can be revisited in light of the current neuroscientific notions of neuronal plasticity and somatic states. Indeed, through the mechanisms of plasticity experience leaves a trace that forms the neural basis of a representation of the experience. Such a representation R is associated with a somatic state S in the sense taken from the "somatic marker" model of Damasio. Thus, the internal reality of the subject, particularly the unconscious one, is constituted by such connected R's and S's. In the model that we discuss, the posterior insula represents the primary interoceptive cortex where information about somatic states S converges, while in the anterior insula the connection between R and S can take place and establish a neurobiological correlate for the notion of drive. We posit that the re-representations of S associated with R in the anterior insula may correspond to the Vorstellungsrepräsentanz postulated by Freud. We further propose that the tension between R and S established in the anterior insula is discharged according to the notion of drive through the motor arm of the limbic system, namely the anterior cingulate cortex which is heavily connected with the anterior insula.