Superbinding: Spatio-temporal oscillatory dynamics

This paper presents superbinding, a concept that represents integrative oscillatory dynamics over the time and space axes. Principle of superposition describes integration over the temporal axis; selectively distributed and selectively coherent oscillatory neural populations describe integration over the spatial axis. Integrative activity is a function of the coherences between spatial locations of the brain; these coherences vary according to the type of sensory and or cognitive event and possibly the consciousness state of the species. Complex percepts and integrative activity in general that is achieved by superbinding supported by the neurons-brain theory may replace the Sherringtonian integrative brain function that is achieved through the single neuron doctrine.

Results of recent experiments related to the percept of the grandmother-face support our concept of super-synergy in the whole brain in order to explain manifestation of Gestalts and Memory-Stages. The strategies of the Grandmother paradigm may open new horizons in search of memories or evolving memories, and possibly provide relevant clinical applications.     

Graph analysis of functional brain networks: practical issues in translational neuroscience

The brain can be regarded as a network: a connected system where nodes, or units, represent different specialized regions and links, or connections, represent communication pathways. From a functional perspective, communication is coded by temporal dependence between the activities of different brain areas. In the last decade, the abstract representation of the brain as a graph has allowed to visualize functional brain networks and describe their non-trivial topological properties in a compact and objective way. Nowadays, the use of graph analysis in translational neuroscience has become essential to quantify brain dysfunctions in terms of aberrant reconfiguration of functional brain networks. Despite its evident impact, graph analysis of functional brain networks is not a simple toolbox that can be blindly applied to brain signals. On the one hand, it requires the know-how of all the methodological steps of the pipeline that manipulate the input brain signals and extract the functional network properties. On the other hand, knowledge of the neural phenomenon under study is required to perform physiologically relevant analysis. The aim of this review is to provide practical indications to make sense of brain network analysis and contrast counterproductive attitudes.     

Functional brain networks: great expectations,hard times and the big leap forward

Many physical and biological systems can be studied using complex network theory, a new statistical physics understanding of graph theory. The recent application of complex network theory to the study of functional brain networks has generated great enthusiasm as it allows addressing hitherto non-standard issues in the field, such as efficiency of brain functioning or vulnerability to damage. However, in spite of its high degree of generality, the theory was originally designed to describe systems profoundly different from the brain. We discuss some important caveats in the wholesale application of existing tools and concepts to a field they were not originally designed to describe. At the same time, we argue that complex network theory has not yet been taken full advantage of, as many of its important aspects are yet to make their appearance in the neuroscience literature. Finally, we propose that, rather than simply borrowing from an existing theory, functional neural networks can inspire a fundamental reformulation of complex network theory, to account for its exquisitely complex functioning mode.     

The genetics of phenotypic plasticity. XIII. Interactions with developmental instability

In a heterogeneous environment, natural selection on a trait can lead to a variety of outcomes, including phenotypic plasticity and bet‐hedging through developmental instability. These outcomes depend on the magnitude and pattern of that heterogeneity and the spatial and temporal distribution of individuals. However, we do not know if and how those two outcomes might interact with each other. I examined the joint evolution of plasticity and instability through the use of an individual‐based simulation in which each could be genetically independent or pleiotropically linked. When plasticity and instability were determined by different loci, the only effect on the evolution of plasticity was the elimination of plasticity as a bet‐hedging strategy. In contrast, the effects on the evolution of instability were more substantial. If conditions were such that the population was likely to evolve to the optimal reaction norm, then instability was disfavored. Instability was favored only when the lack of a reliable environmental cue disfavored plasticity. When plasticity and instability were determined by the same loci, instability acted as a strong limitation on the evolution of plasticity. Under some conditions, selection for instability resulted in maladaptive plasticity. Therefore, before testing any models of plasticity or instability evolution, or interpreting empirical patterns, it is important to know the ecological, life history, developmental, and genetic contexts of trait phenotypic plasticity and developmental instability.     

The development of larval resistance to a nucleopolyhedrovirus is not accompanied by an increased virulence in the virus

Two laboratory experiments were conducted to examine the possible coevolution of cabbage loopers (Trichoplusia ni) and their S nucleopolyhedrovirus (TnSNPV). At the conclusion of Experiments 1 and 2, T. ni had respectively evolved 4.4 × and 22 × resistance to TnSNPV. The higher level of resistance achieved in Experiment 2 could be due to marginally stronger selection, possibly greater genetic variability in larval resistance to TnSNPV, or both. However, the evolution of resistance was not accompanied by an increased virulence of TnSNPV or a change in the restriction profile of the viral DNA when digested with BamHI, EcoRI, HindIII, PstI, SalI, SstI or XhoI. Little genetic variability for virulence in the initial TnSNPV stocks, low mutation rates and possibly weak selection on the virus are some factors that may have constrained the evolution of TnSNPV. We discuss our results in light of the geographic mosaic theory of coevolution and their implications for the use of TnSNPV as a biological control agent against T. ni. This revised version was published online in November 2006 with corrections to the Cover Date.     

Hominid lifestyle and diet reconsidered: paleo-environmental and comparative data

It is traditionally believed that human ancestors evolved in a warm and dry environment. The available evidence, however, favours the vision that it happened in a warm and wet environment. The paleo-environmental data suggest that the early australopithecinesAustralopithecus anamensis, afarensis andafricanus lived in warm, moist, and wooded landscapes such as gallery forests. In the Pleistocene, the robust australopithecinesA. robustus andboisei seem to have dwelt in more open, possibly cooler and generally dryer places, in the vicinity of shallow and relatively stagnant waters of lakesides, lagoons, marshes and riverbanks. Dental and microwear studies suggest that the australopithecines, more than Western lowland gorillas, regularly fed on aquatic herbaceous vegetation (AHV). Homo fossils, on the other hand, as suggested by the paleo-environmental data, are more frequently discovered near lakes, seas and rivers where molluscs were abundant. Shellfish could provide a dietary supplement for their omnivorous diet. This is how early hominines might have learned to use stones to crack bivalves. This subsequently could have led to stone tool use for other purposes.     

分形理论对水生态系统空间格局研究初探

首先对分形理论在生态学中的应用情况作了简要介绍,然后应用驼对梅子垭水库的藻类叶绿素ａ浓度场水平２维空间格局进行了分析,通过对不同时间各浓度轮廓线的空间占据能力进行比较分析,确定了各浓度的稳定程度。可由此说明浮游植物的变化情况和生长潜力。     

Concluding remarks: historical perspective and the future of island biogeography theory

MacArthur and Wilson’s equilibrium theory revolutionized the field of island biogeography and, to a large degree, ecology as well. The theory, which quickly became the ruling paradigm of island biogeography, has changed little over the past three decades. It has not kept pace with relevant theory and our growing appreciation for the complexity of nature, especially with empirical findings that species diversity on many islands: 1) is not in equilibrium; 2) is influenced by differences in speciation, colonization, and extinction among taxa; and 3) is influenced by differences among islands in characteristics other than area and isolation. The discipline of biogeography, itself, is in a state of disequilibrium. We may again be about to witness another paradigm shift, which will see the replacement of MacArthur and Wilson’s theory. Wherever this shift may take us, we are confident that the next generation of biogeographers will still look to islands for insights into the forces that shape biological diversity.     

A call for a new paradigm of island biogeography

MacArthur and Wilson’s equilibrium theory of island biogeography quickly became the paradigm of the field in the 1960s and has strongly influenced this and other disciplines of ecology and conservation biology for the past three decades. Recently, however, a growing number of ecologists have begun to question whether the theory remains a useful paradigm for modern ecology. We now have a much better appreciation for the complexity of nature and we study patterns that span a very broad range in spatial, temporal and ecological scales. At such scales, assumptions that communities are in equilibrium, that species, islands and intervening landscapes or seascapes are equivalent or homogeneous with respect to factors influencing immigration and extinction, and that in situ speciation can be overlooked become very tenuous. With this in mind, this and other papers of this special feature discuss the principal, conceptual shortcomings of the equilibrium theory and offer some modifications or alternatives to the theory that we hope will eventually lead to a more comprehensive understanding of the forces structuring insular communities.     

Molecular Mechanisms of Stress Adaptation in Plant Natural Populations

Recent advances in studies of genetic variation at protein and DNA levels in plant natural populations and its relationship with environmental changes were reviewed with special reference to the works on the wild barley ( Hordeum spontaneum C. Koch.). On one side, adaptation was shown in statistic data, on the other side, the fact that a considerable part of genetic variation does exist within populations (subpopulations) under same ecological condition indicated its maintainability of neutral or near-neutral mutations in natural populations. The researches on adaptive populations of plants, especially on wild soybean ( Glycine soja Sieb. et Zucc.) mainly conducted in author's laboratory, have shown that the most part of molecular variation within and among populations can not be explained by selection particularly as far as the individual uniqueness was concerned. There are some data shown that adaptation may be caused by accumulation of a few near-neutral mutations. Recent publications on molecular mechanisms of morphological evolution has been received special attention to elucidate the discrepancy between molecular evolution and morphological adaptive evolution. A frame on the unified evolution theory has been built. Finally some related viewpoints of philosophy were discussed.