Large brain size is associated with low extra‐pair paternity across bird species

BackgroundGaining extrapair copulations (EPCs) is a complicated behavior process. The interaction between males and females to procure EPCs may be involved in brain function evolution and lead to a larger brain. Thus, we hypothesized that extrapair paternity (EPP) rate can be predicted by relative brain size in birds. Past work has implied that the EPP rate is associated with brain size, but empirical evidence is rare.MethodsWe collated data from published references on EPP levels and brain size of 215 bird species to examine whether the evolution of EPP rate can be predicted by brain size using phylogenetically generalized least square (PGLS) models and phylogenetic path analyses.ResultsWe found that EPP rates (both the percentage EP offspring and percentage of broods with EP offspring) are negatively associated with relative brain size. We applied phylogenetic path analysis to test the causal relationship between relative brain size and EPP rate. Best‐supported models (ΔCICc < 2) suggested that large brain lead to reduced EPP rate, which failed to support the hypothesis that high rates of EPP cause the evolution of larger brains.ConclusionThis study indicates that pursuing EPCs may be a natural instinct in birds and the interaction between males and females for EPCs may lead to large brains, which in turn may restrict their EPC level for both sexes across bird species.     

A holographic model for associative memory chains

Holographic brain models are well suited to describe specific brain functions. Central nervous systems and holographic systems both show parallel information processing and non-localized storage in common. To process information both systems use correlation functions suggesting to develop cybernetical brain models in terms of holography. Associative holographic storage is done with two simultaneously existing patterns. They may reconstruct each other mutually. Time-sequentially existing patterns are connected to associative chains, if every two succeeding patterns do exist within a common period of time in order to be stored in pairs. Read out (recall) of associative chains—reconstructing coupled patterns which didn't exist simultaneously—requires advanced holographic techniques. Three different methods are described and tested experimentally. The underlying principles are feedback mechanisms, nonlinearities of the storage material and tridimensional architecture of the voluminous recording medium. Those principles evidently occur in neural storage systems supporting analogous information processing in neural- and holographic systems.     

Divergence in brain composition during the early stages of ecological specialization in Heliconius butterflies

During speciation across ecological gradients, diverging populations are exposed to contrasting sensory and spatial information that present new behavioural and perceptive challenges. These challenges may be met by heritable or environmentally induced changes in brain function which mediate behaviour. However, few studies have investigated patterns of neural divergence at the early stages of speciation, inhibiting our understanding of the relative importance of these processes. Here, we provide a novel case study. The incipient species pair, Heliconius erato and H. himera, are parapatric across an environmental and altitudinal gradient. Despite ongoing gene flow, these species have divergent ecological, behavioural and physiological traits. We demonstrate that these taxa also differ significantly in brain composition, in particular in the relative levels of investment in structures that process sensory information. These differences are not explained solely by environmentally‐induced plasticity, but include heritable, nonallometric shifts in brain structure. We suggest these differences reflect divergence to meet the demands of contrasting sensory ecologies. This conclusion would support the hypothesis that the evolution of brain structure and function play an important role in facilitating the emergence of ecologically distinct species.     

A Modified DWT-SVD Algorithm for T1-w Brain MR Images Contrast Enhancement

BackgroundImage contrast enhancement is considered as the most useful technique permitting a better appearance of the low contrast images. This paper presents a modified Discret Wavelet Transform - Singular Value Decomposition (DWT-SVD) approach for the enhancement of low contrast Brain MR Images used for brain tissues exploration.MethodsThe proposed technique is processed as follows: first of all, we consider low contrast T1-weighted MRI slices as input images (A1) on which we apply General Histogram Equalization (GHE) algorithm to have equalized images referred as (A2) having zero as mean and one as variance. Secondly, by using the Discrete Wavelet Transform (DWT) algorithm, both (A1) and (A2) are divided into low and high frequency sub-bands. On the low frequency (LL1) and (LL2) sub-bands, SVD is processed in order to generate three matrix factorization (U, V and Σ) where the maximums of (U) and (V) matrix are used for the estimation of a correction coefficient (ξ). Our contribution in this paper is to estimate the new singular value matrix (New Σ) using a weighted sum of both original and equalized singular value matrix thanks to an adjustable parameter (μ) for the targeted low contrast images. This parameter, ranged between 0.05 and 0.95, is determined empirically according to the input low contrast image. Finally, the enhanced resulting image is easily reconstructed using the Inverse SVD (ISVD) and the Inverse DWT (IDWT) processes.ResultsThe database considered in our research consisted of 120 MR brain images where T1-weighted MR brain modality are selected for the contrast enhancement process. Considering the qualitative results, our proposed contrast enhancement method have shown better distinction between brain tissues and have preserved all White Matter (WM), Gray Matter (GM) and Cerebro-Spinal Fluid (CSF) pixel edges. In fact, histogram plots of images enhanced by proposed method covered all the gray level intensities. For the quantitative results, proposed method gives the highest PSNR, QRCM, SSIM, FSIM and EME values and the lowest AMBE values for (μ) equal to 0.65 as comparing to the rest of methods. These results signifies that proposed contrast enhancement method have provided greater image quality with preservation of image structure, feature and brightness.ConclusionProposed method improved performance of contrast enhancement image without creating unwanted artifact and without destroying image edge information or affecting the specificities of brain tissues. This is due to the use of an empirically (μ) parameter adjustable according to the input MR images. Hence, the proposed approach is appropriate for enhancing contrast of huge type of low contrast images.     

Memory and Learning

The main principles of information processing in the nervous system of animals and man may be defined as follows:

1. A stimulus acting upon the input of a system is transformed in receptors, where it forms a combination of receptor excitations—the EM-dimensional receptor vector of excitation.     

Plasticity and genetic effects contribute to different axes of neural divergence in a community of mimetic Heliconius butterflies

Changes in ecological preference, often driven by spatial and temporal variation in resource distribution, can expose populations to environments with divergent information content. This can lead to adaptive changes in the degree to which individuals invest in sensory systems and downstream processes, to optimize behavioural performance in different contexts. At the same time, environmental conditions can produce plastic responses in nervous system development and maturation, providing an alternative route to integrating neural and ecological variation. Here, we explore how these two processes play out across a community of Heliconius butterflies. Heliconius communities exhibit multiple Mullerian mimicry rings, associated with habitat partitioning across environmental gradients. These environmental differences have previously been linked to heritable divergence in brain morphology in parapatric species pairs. They also exhibit a unique dietary adaptation, known as pollen feeding, that relies heavily on learning foraging routes, or trap-lines, between resources, which implies an important environmental influence on behavioural development. By comparing brain morphology across 133 wild-caught and insectary-reared individuals from seven Heliconius species, we find strong evidence for interspecific variation in patterns of neural investment. These largely fall into two distinct patterns of variation; first, we find consistent patterns of divergence in the size of visual brain components across both wild and insectary-reared individuals, suggesting genetically encoded divergence in the visual pathway. Second, we find interspecific differences in mushroom body size, a central component of learning and memory systems, but only among wild caught individuals. The lack of this effect in common-garden individuals suggests an extensive role for developmental plasticity in interspecific variation in the wild. Finally, we illustrate the impact of relatively small-scale spatial effects on mushroom body plasticity by performing experiments altering the cage size and structure experienced by individual H. hecale. Our data provide a comprehensive survey of community level variation in brain structure, and demonstrate that genetic effects and developmental plasticity contribute to different axes of interspecific neural variation.     

Evolutionary and developmental implications of asymmetric brain folding in a large primate pedigree

Bilateral symmetry is a fundamental property of the vertebrate central nervous system. Local deviations from symmetry provide various types of information about the development, evolution, and function of elements within the CNS, especially the cerebral hemispheres. Here, we quantify the pattern and extent of asymmetry in cortical folding within the cerebrum of Papio baboons and assess the evolutionary and developmental implications of the findings. Analyses of directional asymmetry show a population‐level trend in length measurements indicating that baboons are genetically predisposed to be asymmetrical, with the right side longer than the left in the anterior cerebrum while the left side is longer than the right posteriorly. We also find a corresponding bias to display a right frontal petalia (overgrowth of the anterior pole of the cerebral cortex on the right side). By quantifying fluctuating asymmetry, we assess canalization of brain features and the susceptibility of the baboon brain to developmental perturbations. We find that features are differentially canalized depending on their ontogenetic timing. We further deduce that development of the two hemispheres is to some degree independent. This independence has important implications for the evolution of cerebral hemispheres and their separate specialization. Asymmetry is a major feature of primate brains and is characteristic of both brain structure and function.     

Mapping of neurons in the central nervous system of the guinea pig by use of antisera specific to the molluscan neuropeptide FMRFamide

Summary Immunoreactive neurons were mapped in the central nervous system of colchicine-treated and untreated guinea pigs with the use of two antisera to the molluscan neuropeptide FMRFamide ¹. These antisera were especially selected for their incapability to react with peptides of the pancreatic polypeptide family. Only one group of perikarya was stained by both antisera; this group was mainly located in the nucleus dorsomedialis hypothalami and extended to the nucleus paraventricularis and nucleus periventricularis hypothalami. The perikarya were found to project fibers to all regions of the hypothalamus, to the septum, nucleus proprius striae terminalis, nucleus paraventricularis thalami, nucleus centralis thalami, nucleus reuniens, medial, central and basal amygdala, area praetectalis, area tegmentalis ventralis of Tsai, substantia grisea centralis mesencephali, formatio reticularis mesencephali, nucleus centralis superior, locus coeruleus, nuclei parabrachiales, nucleus raphe magnus, A 5-region, vagus-solitarius complex, ventral medulla, nucleus spinalis nervi trigemini, and substantia gelatinosa of the spinal cord. In many brain regions FMRFamide-immunoreactive processes were found in close contact with blood vessels.Abbreviations of Amino Acids D aspartic acid - F phenylalanine - G glycine - H histidine - L leucine - M methionine - P proline - R arginine - V valine - W tryptophan - Y tyrosine     

The Southwest and the Plains: Ecology and Economics

Abstract

The ecological concept of niche is used to provide a better understanding of prehistoric interactions between the Plains and the Puebloan Southwest. A diachronic model is presented based on concepts of energy flow and regional microvariation in net energy input. At a general level, such use of ecological models and principles enables changes in human systems to be seen as an example of a general increase in ecosystem complexity. The application of more powerful theoretic and methodological concepts and constructs can then lead to a more powerful theory of human cultural evolution.     

Stochastic processes with optimization — A model of learning in higher systems

A special class of stochastic processes with optimization (SPO) is considered and their long-run behaviour is investigated. At each step of the process {X _h} _h 0 (where X _h is a discrete random variable) a loss function expressing the distance with respect to the moments in the previous step is minimized. The transformation leading from a certain probability distribution F _k (step k) to the next probability distribution F _k+1 (step k+1) is accomplished by means of an optimization operator, or simply optimator, that is, a nonlinear operator performing an optimization. The constraints involved by the optimator are typically regarded as a message conveying the information needed for the stepwise evolution of the system. In other words, the behaviour of the system is expressed by an ordered set of events (actions) to be realized with given probabilities and minimum losses, while the message is viewed as a set of constraints providing an inferior bound for that probabilities, hence, ensuring that the required actions are performed. Besides, in order to account for some relaxation phenomena taking place in higher systems each active step (active optimator) is followed by a relaxation step (recovery optimator). Under these conditions it is shown that repeated presentation of a stimulus pattern leads to a convergent process, so that the action is finally performed with minimum minimorum losses. This reveals some fundamental relations between optimization and learning in higher systems, highlighting also the key role of the relaxation processes. Further the behaviour of the system is described in terms of a special class of Non-Markovian processes termed stochastic processes with optimization and relaxation (SPORs). It is shown that two basic subclasses of SPORs exist, namely the monoergodic and the biergodic SPORs. Sufficient conditions for both monoergodicity and biergodicity are given. Finally, a particular feature of the optimators, the so-called nonredundancy is shown to be relevant with respect to the influence of the past on the current evolution of the system.     

一种感知视觉运动信息的简化脑模型

视觉运动信息的感知过程,包括从局域运动检测到对模式整体运动的感知过程.我们以蝇视觉系统的图形-背景相对运动分辨的神经回路网络为基本框架,采用初级运动检测器的六角形阵列作为输入层,构造了一种感知视觉运动信息的简化脑模型,模拟了运动信息应该神经计算模型各个层次上的处理.该模型对差分行为实验结果作出了正确预测.本文并对空间生理整合的神经机制作了讨论.     

Mass Transfer Characteristics of Immobilized Cells Used in Fermentation Processes

ABSTRACT:?

There is great commercial interest in using immobilized cells for fermented beverage processes. The process advantages offered by immobilized cells are numerous, but an understanding of the mass transfer characteristics of a given system is needed in order to achieve efficient processes and high quality products. This is especially important in the food and beverage industry where fermentation products contribute to the flavor and aroma of the final product. The fundamental principles of mass transfer in immobilized cell systems are covered in this review. An overview of the current research efforts focused on external and internal mass transfer characteristics of immobilized cells used in fermentation processes is presented. Methods for measuring substrate diffusivities within immobilization matrices and areas requiring further research are discussed.     

Brain evolution by brain pathway duplication

Understanding the mechanisms of evolution of brain pathways for complex behaviours is still in its infancy. Making further advances requires a deeper understanding of brain homologies, novelties and analogies. It also requires an understanding of how adaptive genetic modifications lead to restructuring of the brain. Recent advances in genomic and molecular biology techniques applied to brain research have provided exciting insights into how complex behaviours are shaped by selection of novel brain pathways and functions of the nervous system. Here, we review and further develop some insights to a new hypothesis on one mechanism that may contribute to nervous system evolution, in particular by brain pathway duplication. Like gene duplication, we propose that whole brain pathways can duplicate and the duplicated pathway diverge to take on new functions. We suggest that one mechanism of brain pathway duplication could be through gene duplication, although other mechanisms are possible. We focus on brain pathways for vocal learning and spoken language in song-learning birds and humans as example systems. This view presents a new framework for future research in our understanding of brain evolution and novel behavioural traits.     

脑机接口：现状，问题与展望

本文综述现有脑机接口技术的最新发展，并讨论这些脑机接口技术的局限和存在的问题，如高估人类个体大脑的功能、对大脑信息存储方式缺乏了解等. 基于大脑信息存储的“二维码”模型，我们认为目前的脑机接口技术方案仅适用于一些简单的应用场景，如了解受测者的情绪变化、生命活动的状态，以及控制体外器械等，而无法通过脑机接口技术获取脑内诸如记忆与思考等信息的精准细节. 我们也提出，向大脑输入信息的脑机接口技术有较大的发展空间，比如发展具有多种调控效果、物理和生化技术结合的深脑刺激装置，有可能广泛应用于抑郁症、癫痫等脑疾病的治疗，以及应用于短期脑力的增强. 本文对于目前的脑机接口研究领域具有一定的警示和启发意义.     

Filming the glial dreams: real-time imaging of cannabinoid receptor trafficking in astrocytes

How does the brain process incoming information and produce thoughts? These questions represent, to all likelihood, the most challenging matters ever faced by natural sciences, matters which may never be fully comprehended. The evolution of the nervous system that, in about billion of years, brought into existence the human brain progressed through an ever-increasing complexity of neural networks. This evolution began from the diffuse nervous system, in which primordial neurons were able to sense the environmental inputs and convey them to effector organs and to the neighbouring neurons. At the next evolutionary stage the conglomerates of neuronal cell bodies, the ganglia, appeared, thus forming the primitive centralized nervous system. The developments which ensued went through a continuous increase in complexity of neuronal conglomerates, which eventually formed the central nervous system, which attained maximal perfection in mammals. In this issue of ASN NEURO, Osborne et al. have described details of real-time imaging of cannabinoid receptor trafficking in astrocytes, a technique that will help to elucidate the role of these receptors in the ever-increasing complex neural networks.     

On the mechanism of activation of protein kinase FA (an activating factor of ATP.Mg-dependent protein phosphatase) in brain myelin

Protein kinase F_A (an activating factor of ATP·Mg-dependent protein phosphatase) has been characterized to exist in two forms in the purified brain myelin. One form of kinase F_A is spontaneously active and trypsin-labile, whereas the other form of kinase F_A is inactive and trypsin-resistant, suggesting a different membrane topography with active F_A exposed on the outer face of the myelin membrane and inactivu F_Q buried within the myelin membrane. When myelin was solubilized in 1% Triton X-100, all kinase F_A became active and trypsin-labile. Phospholipid reconstitution studies further indicated that when kinase F_A was reconstituted in acidic phospholipids, such as phosphatidylinositol and phosphatidylserine, the enzyme activity was inhibited in a dose-dependent manner, suggesting that kinase F_A interacts with acidic phospholipids which inhibit its activity. Furthermore, when myelin was incubated with exogenous phospholipase C, the inactive/trypsin-resistant F_A could be converted to the active/trypsin-labile F_A in a time- and dose-dependent manner. Taken together, it is concluded that membrane phospholipids play an important role in modulating the activity of kinase F_A in the brain myelin. It is suggested that phospholipase C may mediate the activation-sequestration of inactive/trypsin-resistant kinase F_A in the brain myelin through the phospholipase C-katalyzed degradation of acidic membrane phospholipids. The activation-sequestration of protein Kinase F_A may represent one mode of control modulating the activity of kinase F_A in the central nervous system myelin.     

Neuronal encoding of sound, gravity, and wind in the fruit fly

The fruit fly Drosophila melanogaster responds behaviorally to sound, gravity, and wind. Exposure to male courtship songs results in reduced locomotion in females, whereas males begin to chase each other. When agitated, fruit flies tend to move against gravity. When faced with air currents, they ‘freeze’ in place. Based on recent studies, Johnston’s hearing organ, the antennal ear of the fruit fly, serves as a sensor for all of these mechanosensory stimuli. Compartmentalization of sense cells in Johnston’s organ into vibration-sensitive and deflection-sensitive neural groups allows this single organ to mediate such varied functions. Sound and gravity/wind signals sensed by these two neuronal groups travel in parallel from the fly ear to the brain, feeding into neural pathways reminiscent of the auditory and vestibular pathways in the human brain. Studies of the similarities between mammals and flies will lead to a better understanding of the principles of how sound and gravity information is encoded in the brain. Here, we review recent advances in our understanding of these principles and discuss the advantages of the fruit fly as a model system to explore the fundamental principles of how neural circuits and their ensembles process and integrate sensory information in the brain.     

Cliques and cavities in the human connectome

Encoding brain regions and their connections as a network of nodes and edges captures many of the possible paths along which information can be transmitted as humans process and perform complex behaviors. Because cognitive processes involve large, distributed networks of brain areas, principled examinations of multi-node routes within larger connection patterns can offer fundamental insights into the complexities of brain function. Here, we investigate both densely connected groups of nodes that could perform local computations as well as larger patterns of interactions that would allow for parallel processing. Finding such structures necessitates that we move from considering exclusively pairwise interactions to capturing higher order relations, concepts naturally expressed in the language of algebraic topology. These tools can be used to study mesoscale network structures that arise from the arrangement of densely connected substructures called cliques in otherwise sparsely connected brain networks. We detect cliques (all-to-all connected sets of brain regions) in the average structural connectomes of 8 healthy adults scanned in triplicate and discover the presence of more large cliques than expected in null networks constructed via wiring minimization, providing architecture through which brain network can perform rapid, local processing. We then locate topological cavities of different dimensions, around which information may flow in either diverging or converging patterns. These cavities exist consistently across subjects, differ from those observed in null model networks, and – importantly – link regions of early and late evolutionary origin in long loops, underscoring their unique role in controlling brain function. These results offer a first demonstration that techniques from algebraic topology offer a novel perspective on structural connectomics, highlighting loop-like paths as crucial features in the human brain’s structural architecture.     

Encoding and processing biologically relevant temporal information in electrosensory systems

Wave-type weakly electric fish are specialists in time-domain processing: behaviors in these animals are often tightly correlated with the temporal structure of electrosensory signals. Behavioral responses in these fish can be dependent on differences in the temporal structure of electrosensory signals alone. This feature has facilitated the study of temporal codes and processing in central nervous system circuits of these animals. The temporal encoding and mechanisms used to transform temporal codes in the brain have been identified and characterized in several species, including South American gymnotid species and in the African mormyrid genus Gymnarchus. These distantly related groups use similar strategies for neural computations of information on the order of microseconds, milliseconds, and seconds. Here, we describe a suite of mechanisms for behaviorally relevant computations of temporal information that have been elucidated in these systems. These results show the critical role that behavioral experiments continue to have in the study of the neural control of behavior and its evolution.