Neurophysiological Aspects of Song Pattern Recognition and Sound Localization in Grasshoppers

SYNOPSIS. In their intraspecific communication females of thegrasshopper Chorthippus biguttulus are able to detect minutegaps in songs. Males of this species can lateralize sound withless than 1 dB difference between the two ears. Behavioral experimentssuggested that separate pathways exist for song recognitionand sound localization. As for the neurophysiological basis,auditory receptors respond tonically and necessarily carry allinformation explaining behavioral performances in their spikingresponses. However, for pattern recognition as well as for codingof directional information, it seems necessary for the animalto evaluate a whole set of parallel receptor fibres to achievethe precision observed in behavior. The information of receptorsconverges onto thoracic neurons which drive neurons ascendingto the brain. Some of these ascending neurons exhibit dramaticresponse differences either for various temporal patterns orfor sound from different directions and therefore may representpathways specialized for song recognition or for sound localization.     

Female Field Crickets Incur Increased Parasitism Risk When Near Preferred Song

Female animals often prefer males with conspicuous traits because these males provide direct or indirect benefits. Conspicuous male traits, however, can attract predators. This not only increases the risk of predation for conspicuous males but also for the females that prefer them. In the variable field cricket, Gryllus lineaticeps, males that produce preferred song types provide females with greater material benefits, but they are also more likely to attract lethal parasitoid flies. First, we conducted a field experiment that tested the hypothesis that females have a greater risk of fly parasitism when in association with preferred high chirp rate males. Females were nearly twice as likely to be parasitized when caged with high chirp rate song than when caged with low chirp rate song. Females may thus be forced to trade off the quality of the benefits they receive from mating with preferred males and the risk of being killed by a predator when near these males. Second, we assessed female parasitism rates in a natural population. Up to 6% of the females were parasitized in field samples. Because the females we collected could have become parasitized had they not been collected, this provides a minimum estimate of the female parasitism rate in the field. In a laboratory study, we found no difference in the proportion of time parasitized and unparasitized females spent hiding under shelters; thus, differences in activity patterns do not appear to have biased our estimate of female parasitism rates. Overall, our results suggest that female association costs have the potential to shape the evolution of female mating preferences.     

Ontogeny of Song Recognition in Birds

SYNOPSIS. This paper reviews song recognition in two congenericspecies of sparrow the swamp sparrow (Melospiza georgiana) andsong sparrow (Melospiza melodia). Data from psychophysical studiesof hearing, tutoring experiments with young birds, and fieldplayback studies with adult birds are considered together inorder to gain insight into the mechanisms of species recognitionthrough song development. In aggregate, the evidence suggestsa multi-stage process of song development consisting of an earlyperceptual preference for learning conspecific song, a sensorimotorphase of song development during which vocal output matchesan auditory memory as if through trial and error, and a finalphase of full song which functions in territorial defense andmate attraction.     

鸣禽前脑听觉和鸣唱系统zenk基因的诱导表达

鸣曲和鸣唱行为可以诱导鸣禽前脑不同区域的zenk基因表达.鸣禽听到同类鸣曲时在听觉系统会出现zenk表达,并在致聋后这种诱导消失.而鸣禽鸣唱时,在鸣唱系统同样有zenk基因的表达,且不依赖于听觉反馈,因为致聋鸟只要发声就可以诱导表达.大量的研究表明,zenk基因在听区的诱导表达不仅可对同类鸣曲进行识别,而且在教习曲模板的记忆方面发挥重要作用.鸣唱系统zenk基因诱导表达则主要与鸣曲的产生与维持有关.zenk基因在两个系统中的诱导表达将听觉感知与鸣唱运动紧密联系起来.     

Quantifying Histological Features of Cancer Biospecimens for Biobanking Quality Assurance Using Automated Morphometric Pattern Recognition Image Analysis Algorithms

Biorepository-supported translational research depends on high-quality, well-annotated specimens. Histopathology assessment contributes insight into how representative lesions are for research objectives. Feasibility of documenting histological proportions of tumor and stroma was studied in an effort to enhance information regarding biorepository tissue heterogeneity. Using commercially available software, unique spatial-spectral algorithms were developed for applying automated pattern recognition morphometric image analysis to quantify histologic tumor and nontumor tissue areas in biospecimen tissue sections. Measurements were acquired successfully for 75/75 (100%) lymphomas, 76/77 (98.7%) osteosarcomas, and 60/70 (85.7%) melanomas. The percentage of tissue area occupied by tumor varied among patients and tumor types and was distributed around medians of 94% [interquartile range (IQR)=14%] for lymphomas, 84% for melanomas (IQR=24%), and 39% for osteosarcomas (IQR=44%). Within-patient comparisons from a subset, including multiple individual patient specimens, revealed ≤12% median coefficient of variation (CV) for lymphomas and melanomas. Phenotypic heterogeneity of osteosarcomas resulted in 33% median CV. Uniformly applied, tumor-specific pattern recognition software permits automated tissue-feature quantification. Furthermore, dispersion analyses of area measurements across collections, as well as of multiple specimens from individual patients, support using limited tissue slices to gauge features for some tumor types. Quantitative image analysis automation is anticipated to minimize variability associated with routine biorepository pathologic evaluations and enhance biomarker discovery by helping to guide the selection of study-appropriate specimens.     

Signals for Survival in the Lives of Crickets

Two behavioral acts of undoubted survival value are predatoravoidance and mate choice. In field crickets both are mediatedby acoustic signals containing high frequency spectral energy.Nocturnally active bats use ultrasonic echolocation signalsto detect and locate their prey, which includes insects thatdisperse by flying at night. Many insects have developed ultrasoundavoidance behaviors in flight, in order to elude bats. In crickets,an auditory interneuron that is excited by ultrasound has beenidentified and shown to initiate the avoidance behavior; itis a putative bat-detector cell. Male field crickets produceacoustic signals during their courtship (females are mute).Courtship song appears to facilitate mating success (copulation),for its absence in courtship diminishes the likelihood of copulation.The possible role of the bat-detector neuron in courtship behavioris considered because it is activated by courtship signals aswell as bat-like ultrasound. The role of behavioral contextshapes the participation of neurons in the neural networks thatunderlie a given behavior.     

儿茶酚胺能神经元与鸣禽鸣唱行为和听觉信息处理

鸣禽脑部的一些鸣唱核团与听觉核团接受来自中脑儿茶酚胺(catecholamine,CA)能神经元发出的纤维投射,并且存在多种儿茶酚胺类受体的表达。研究发现在不同的鸣唱环境下,中脑儿茶酚胺能神经元活性及其支配靶区即早基因的表达水平均存在显著差异。表明中脑儿茶酚胺能神经元在调节鸣唱行为和听觉信息处理等方面发挥重要作用。介绍了近年来有关儿茶酚胺能神经元活动与鸣唱行为和听觉信息处理的研究进展。     

Features of Auditory P300 in Relatives of Schizophrenic Patients

The subjects were parents, siblings, and children of schizophrenic patients. Auditory evoked potentials (EPs) (P300) were recorded in the standard oddball paradigm with a probability of the target stimuli presentation of 0.2 and sound (tone) intensity of 60 dB. A comparison of these data with the results of the examination of reference groups (normal subjects free of a family history of mental pathology) showed significantly longer latent periods of N1, N2, and P3 in EPs to target stimuli in siblings and children of schizophrenic patients, as well as significantly decreased amplitudes of N1 and P2 in EPs to nontarget (standard) stimuli and longer latent periods of N2 in EPs to target stimuli in the parents of schizophrenic patients.     

小鼠对不同拓扑性质图形的识别

视觉感知的一系列研究都支持大范围拓扑感知的理论．拓扑性质作为整体性质,是视觉感知的基础．视觉对图形拓扑特征差异的感知要优先于对局部特征差异的感知．采用Y迷宫研究了小鼠对不同拓扑性质图形的识别．训练小鼠学习识别圆环和实心矩形这一对拓扑性质不同的图形,之后用拓扑特征相同或不同的其他图形测试小鼠,这些图形包括空心矩形、实心圆、缺口的圆环、缺口的空心矩形．实验结果表明,学会识别圆环(奖励)和实心矩形(无奖励)的小鼠无法区分实心圆和实心矩形以及圆环和空心矩形,但是能够分别从缺口圆环、缺口的空心矩形、实心圆与空心矩形组成的图形对中识别出空心矩形．因此证实了小鼠的视觉系统能够感知拓扑特征的差异并且具有对拓扑性质的概括能力．结果为拓扑知觉对视觉系统来说是基本的这一假设提供了证据．     

听觉中枢神经元对声信号的识别和处理

人类听觉的基本特性和机制与其他哺乳动物相似,因此,利用动物所作的听觉研究和获得的结果,有助于认识人类自身的听觉.围绕听觉中枢神经元对不同模式的声信号的识别和处理,简要综述了这方面的研究.声信号和声模式识别在听觉中枢对声信号的感受和加工中具有重要意义.听神经元作为声模式识别的结构和功能基础,对不同的声刺激模式产生不同反应,甚至是在同一声刺激模式下,改变其中的某个声参数,神经元的反应也会发生相应改变,而其反应的特性和机制均需要更多研究来解答.另外,声信号作为声信息的载体,不同的声信息寓于不同的声参数和声特征之中,研究发现,听觉中枢神经元存在相应的声信息甄别和选择的神经基础,能对动态变化的声频率、幅度和时程等进行反应和编码,并且,在不同种类动物上获得的研究结果极为相似,表明听觉中枢对不同声信号和声刺激模式的识别、分析和加工,具有共同性和普遍性.     

Noise-invariant Neurons in the Avian Auditory Cortex: Hearing the Song in Noise

Given the extraordinary ability of humans and animals to recognize communication signals over a background of noise, describing noise invariant neural responses is critical not only to pinpoint the brain regions that are mediating our robust perceptions but also to understand the neural computations that are performing these tasks and the underlying circuitry. Although invariant neural responses, such as rotation-invariant face cells, are well described in the visual system, high-level auditory neurons that can represent the same behaviorally relevant signal in a range of listening conditions have yet to be discovered. Here we found neurons in a secondary area of the avian auditory cortex that exhibit noise-invariant responses in the sense that they responded with similar spike patterns to song stimuli presented in silence and over a background of naturalistic noise. By characterizing the neurons'' tuning in terms of their responses to modulations in the temporal and spectral envelope of the sound, we then show that noise invariance is partly achieved by selectively responding to long sounds with sharp spectral structure. Finally, to demonstrate that such computations could explain noise invariance, we designed a biologically inspired noise-filtering algorithm that can be used to separate song or speech from noise. This novel noise-filtering method performs as well as other state-of-the-art de-noising algorithms and could be used in clinical or consumer oriented applications. Our biologically inspired model also shows how high-level noise-invariant responses could be created from neural responses typically found in primary auditory cortex.     

Molecular Recognition Features in Zika Virus Proteome

Viruses have compact genomes that encode limited number of proteins in comparison to other biological entities. Interestingly, viral proteins have shown natural abundance of either completely disordered proteins that are recognized as intrinsically disorder proteins (IDPs) or partially disordered segments known as intrinsically disordered protein regions (IDPRs). IDPRs are involved in interactions with multiple binding partners to accomplish signaling, regulation, and control functions in cells. Tuning of IDPs and IDPRs are mediated through post-translational modification and alternative splicing. Often, the interactions of IDPRs with their binding protein partner(s) lead to transition from the state of disorder to ordered form. Such interaction-prone protein IDPRs are identified as molecular recognition features (MoRFs). Molecular recognition is an important initial step for the biomolecular interactions and their functional proceedings. Although previous studies have established occurrence of the IDPRs in Zika virus proteome, which provide the functional diversity and structural plasticity to viral proteins, the MoRF analysis has not been performed as of yet. Many computational methods have been developed for the identification of the MoRFs in protein sequences including ANCHOR, MoRFpred, DISOPRED3, and MoRFchibi_web server. In the current study, we have investigated the presence of MoRF regions in structural and non-structural proteins of Zika virus using an aforementioned set of computational techniques. Furthermore, we have experimentally validated the intrinsic disorderness of NS2B cofactor region of NS2B–NS3 protease. NS2B has one of the longest MoRF regions in Zika virus proteome. In future, this study may provide valuable information while investigating the virus host protein interaction networks.     

Acoustic Features Used in Song Discrimination by the Veery

To investigate which song features are used for discrimination by the veery (Catharus fuscescens), we synthesized songs by computer and manipulated or deleted various features. These songs were then played to territorial males in their natural habitat. Differences in response to these stimuli indicated the relative importance of the manipulated song components. We found that certain features must be maintained in order to elicit a territorial response similar to that elicited by the natural song. These features were the frequency changes between and within syllables, the dominant higher frequency band (or voice), the intra-syllable syntax, and the rapid repetitive amplitude and frequency modulations. Manipulations of inter-syllable syntax independent of frequency changes between syllables, broad changes in amplitude, and the lower frequency band, did not have a significant effect on response. We thus concluded that they are not essential as cues for discrimination or species identification. Re-recordings of songs broadcast along transects indicate that song components used in encoding species identity are those which transmit well across veery territories.     

A Voting-Based Sequential Pattern Recognition Method

We propose a novel method for recognizing sequential patterns such as motion trajectory of biological objects (i.e., cells, organelle, protein molecules, etc.), human behavior motion, and meteorological data. In the proposed method, a local classifier is prepared for every point (or timing or frame) and then the whole pattern is recognized by majority voting of the recognition results of the local classifiers. The voting strategy has a strong benefit that even if an input pattern has a very large deviation from a prototype locally at several points, they do not severely influence the recognition result; they are treated just as several incorrect votes and thus will be neglected successfully through the majority voting. For regularizing the recognition result, we introduce partial-dependency to local classifiers. An important point is that this dependency is introduced to not only local classifiers at neighboring point pairs but also to those at distant point pairs. Although, the dependency makes the problem non-Markovian (i.e., higher-order Markovian), it can still be solved efficiently by using a graph cut algorithm with polynomial-order computations. The experimental results revealed that the proposed method can achieve better recognition accuracy while utilizing the above characteristics of the proposed method.     

模式识别受体的胞内转运及其在植物免疫中的作用

植物利用细胞表面模式识别受体(PRRs)来感知病原相关分子模式(PAMPs), 进而触发自身的免疫反应(PTI)。在植物免疫过程中, PRRs在细胞内的正确定位对其生理功能的发挥至关重要。PRRs蛋白可以在内质网(ER)上合成, 并通过胞吐被分泌到质膜(PM)上。此外, PRRs蛋白也可以通过胞吞进行胞内循环或降解。细胞可以通过胞内转运降解PRRs蛋白以终止信号转导, 也可以通过形成胞内体进行信号传递。该文概述了PRRs蛋白及其配体的研究进展以及PRRs蛋白的胞内转运在植物免疫中的重要作用。     

Wood Recognition Using Image Texture Features

Inspired by theories of higher local order autocorrelation (HLAC), this paper presents a simple, novel, yet very powerful approach for wood recognition. The method is suitable for wood database applications, which are of great importance in wood related industries and administrations. At the feature extraction stage, a set of features is extracted from Mask Matching Image (MMI). The MMI features preserve the mask matching information gathered from the HLAC methods. The texture information in the image can then be accurately extracted from the statistical and geometrical features. In particular, richer information and enhanced discriminative power is achieved through the length histogram, a new histogram that embodies the width and height histograms. The performance of the proposed approach is compared to the state-of-the-art HLAC approaches using the wood stereogram dataset ZAFU WS 24. By conducting extensive experiments on ZAFU WS 24, we show that our approach significantly improves the classification accuracy.