The construction of a simultaneous functional order in nervous systems

We have developed two algorithms that construct a simultaneous functional order in a collection of neural elements using purely functional relations. The input of the first algorithm is a matrix describing the total of covariances of signals carried by the members of the neural collection. The second algorithm proceeds from a matrix describing a primitive inclusion relation among the members of the neural collection that can be determined from coincidences in their signal activity. From this information both algorithms compute a partial functional order in the collection of neural elements. Such an order has an objective existence for the system itself and not only for an external observer. By either merging individual neurons or recruiting previously unspecified ones the partial order is locally transformed into a lattice order. Thus, the simultaneous functional order in a nervous net may become isomorphic with a geometrical order if the system has eneough internal coherence. Simulation experiments were done, both for the neuron-merging and the neuron-recruitment routines, to study the number of individuals in the resulting lattice order as a function of the number of individuals in the underlying partially ordered set.     

The construction of a simultaneous functional order in nervous systems

The signal activity in a neural net will be constrained both by its physical structure and by environmental constraints. By monitoring its signal activity a neural system can build up a simultaneous functional order that encodes these constraints. We have previously (Part I) presented two models that construct a simultaneous functional order in a collection of neural elements using either signal-covariances or signal-coincides. In this paper we present the results of simulation experiments that were performed to study the influence of the physical constraints of a neural system on the simultaneous functional order produced by both models. In the simulation experiments we used a one-dimensional detector array. We delineate the physical constraints such an array has to satisfy in order to induce a functional order relation that allows an isomorphism with a geometrical order. We show that for an appropriate choice of the system parameters both models can produce a simultaneous functional order with sufficient internal coherence to allow isomorphisms with a triangulation. In this case the dimensionality and the coherence of the detector array are objectively available to the system itself.     

The construction of a simultaneous functional order in nervous systems

In a previous paper (Part I) we introduced a model that constructs a simultaneous functional order in a set of neuronal elements by monitoring the coincidences in their signal activities (the so-called coincidence-model). The simultaneous signal activity in a neural net will be constrained both by its physical restrictions and by environmental constraints. In this paper we present the results of simulation experiments that were performed to study the influence of environmental constraits on the resulting functional order in a set of neural elements corresponding to a onedimensional detector array. We show that the coincidence-model produces a functional order that encodes the physical constraints of the environment. Moreover, we demonstrate that the signal activity in the neural net (the perceptions) can be related to events in the outer world. We provide some examples to demonstrate that our model may prove useful to gain insight into certain developmental disorders.     

Geometrical structures determined by the functional order in nervous nets

The functional order of a collection of neural elements may be defined as the order induced through the total of covariances of signals carried by the members of the collection. Thus functional order differs from geometrical order (e.g. somatotopy) in that geometrical order is only available to external observers, whereas functional order is available to the system itself. It has been shown before that the covariances can be used to construct a partially ordered set that explicitely represents the functional order. It is demonstrated that certain constraints, if satisfied, make this set isomorphic with certain geometrical entities such as triangulations. For instance there may exist a set of hyperspheres in a n-dimensional space with overlap relations that are described with the same partially ordered set as that which describes the simultaneous/successive order of signals in a nerve. Thus it is logically possible that the optic nerve carries (functionally) two-dimensional signals, quite apart from anatomical considerations (e.g. the geometrically two-dimensional structure of the retina which exists only to external observers). The dimension of the modality defined by a collection of nervous elements can in principle be obtained from a cross-correlation analysis of multi-unit recordings without any resort to geometrical data such as somatotopic mappings.     

Corrected order in the simultaneous debenzylation-acetolysis of methyl 2,3,4,6-tetra-O-benzyl-alpha-D-glucopyranoside

The benzyl groups of methyl 2,3,4,6-tetra-O-benzyl-alpha-d-glucopyranoside were cleaved in the order of 6-O-Bn>3-O-Bn>4-O-Bn>2-O-Bn under acid-mediated conditions in acetic anhydride. The order is a correction of that previously reported.     

里氏木霉双基因同步缺失菌株的构建与甘露聚糖酶表达研究

在里氏木霉中建立了一个快速的双基因位点同步同源重组新方法,较好解决了里氏木霉基因逐个敲除周期长等问题。研究以里氏木霉自身甘露聚糖酶基因（man5A）为重组表达的报告基因,通过一步转化,将该基因定点整合入纤维二糖水解酶Ⅰ（cbh1）基因位点,同时缺失主要的两个纤维素酶基因（cbh1、cbh2）,得到重组工程菌Man12。将重组工程菌Man12与出发菌株Tu6Δku70进行摇瓶发酵,结果显示,重组菌株的甘露聚糖酶产量比出发菌株提高10倍,而纤维素酶产量降低了60%,胞外总蛋白分泌水平降低了40%。Real-time PCR检测甘露聚糖酶基因（man5A）的转录水平,发现重组菌株较出发菌株提高了25倍。在里氏木霉中首次报道了通过一步转化实现两个基因同步定点整合的方法,对利用基因工程手段构建高效表达重组蛋白的里氏木霉工程菌株具有一定的指导意义。     

d-Aspartate acts as a signaling molecule in nervous and neuroendocrine systems

d-Aspartate (d-Asp) is an endogenous amino acid in the central nervous and reproductive systems of vertebrates and invertebrates. High concentrations of d-Asp are found in distinct anatomical locations, suggesting that it has specific physiological roles in animals. Many of the characteristics of d-Asp have been documented, including its tissue and cellular distribution, formation and degradation, as well as the responses elicited by d-Asp application. d-Asp performs important roles related to nervous system development and hormone regulation; in addition, it appears to act as a cell-to-cell signaling molecule. Recent studies have shown that d-Asp fulfills many, if not all, of the definitions of a classical neurotransmitter—that the molecule’s biosynthesis, degradation, uptake, and release take place within the presynaptic neuron, and that it triggers a response in the postsynaptic neuron after its release. Accumulating evidence suggests that these criteria are met by a heterogeneous distribution of enzymes for d-Asp’s biosynthesis and degradation, an appropriate uptake mechanism, localization within synaptic vesicles, and a postsynaptic response via an ionotropic receptor. Although d-Asp receptors remain to be characterized, the postsynaptic response of d-Asp has been studied and several l-glutamate receptors are known to respond to d-Asp. In this review, we discuss the current status of research on d-Asp in neuronal and neuroendocrine systems, and highlight results that support d-Asp’s role as a signaling molecule.     

The nervous systems of helminths as targets for drugs.

Processes that critically differentiate parasitic helminths and their hosts are obvious candidates for chemotherapeutic intervention. The recognition that neurobiology distinguishes helminths from their vertebrate hosts is due in part to the fact that several efficacious anthelmintics, derived generally from empirical screening, have been found to act selectively on the neuromuscular system of these parasites. In addition, basic physiological and pharmacological research has revealed considerable differences in the ways in which helminths and their hosts transmit information in the nervous system and respond to it in innervated tissues. Unfortunately, most of these differences have yet to be exploited in chemotherapy. The topics for this review include an analysis of mechanistic aspects of the pharmacology of anthelmintics that act on neuromuscular systems and a consideration of the prospects for discovery of novel drugs that act on this system.     

The time of a complex sensorimotor choice reaction in subjects with differing functional mobility of the nervous processes

In 246 subjects (men, mean age--21 years) differing by the level of functional mobility (I-IV), statistically significant differences were found of mean values of latencies of complex sensorimotor reactions of choice (differentiation by meaning). Computation of Pearson correlation coefficients revealed significant negative connections between characteristics of functional mobility and values of latencies. On the basis of these data it is possible to consider the value of the latency of complex semantic reactions of choice as an information index of functional mobility of nervous processes.     

Posttraumatic inflammation is a complex response based on the pathological expression of the nervous, immune, and endocrine functional systems

The successive phases that make up both the local and systemic posttraumatic acute inflammatory response could represent the expression of three concatenated pathological or "primitive" functional systems with trophic properties: the nervous, immune, and endocrine ones. The nervous functional system would play an important role in the phenomenon of ischemia-reperfusion, which would be represented by nutrition by diffusion that is either anaerobic (ischemia) or with defective use of oxygen (reperfusion) and, thus, with a limited energy requirement. The immune functional system would be represented by the infiltration of the tissues by inflammatory cells and bacteria, which would become mediators in providing nutrition to the injured tissues. Although the use of oxygen would still be defective, hypermetabolism and fever would occur. In these inflammatory response phases, the lymphatic is the most important circulation. The endocrine functional system would be the most specialized and would have high energy requirements because it would be represented by the blood capillary-mediated nutrition. Highly specialized epithelial cells would already possess a perfected oxidative metabolism. The successive expression of these three functional systems during embryonic development and also during the evolutionary development of our species could explain why the inflammatory response is a ubiquitous mechanism that is common to multiple diseases, because it is an integrator of the ontogeny and phylogeny.     

The theory of functional systems and purposeful behavior

The role of probability forecasting in the purposive behavior under conditions of subjective uncertainty is considered in terms of the theory of functional systems. Participation of the probability forecasting in the afferent synthesis, goal formation, formation of the acceptor of action result and action program, and, finally, in the action program actualization is substantiated. The model of behavior under conditions of subjective uncertainty is advanced. It includes all the classical elements of the model of behavioral act developed by P.K. Anokhin. In order to take into account the probability aspects of behavior, the role of probability forecasting is emphasized at every stage of the system functioning. In addition to the classical elements, two novel components are introduced. These are the "memory buffer" (results of searching reactions) and the apparatus of probability decisions about changes in the action program. By the memory buffer an apparatus is meant, which gathers and stores the information about the results of many behavioral acts performed during the actualization of the action program. This information is used in the process of making a probability decision as whether to alter or not the action program after each specific behavioral act. Such an approach integrates the probability forecasting and the theory of functional systems. The theory becomes universal, i.e., applicable not only to deterministic but also to probabilistic environments.     

Raman spectroscopy and order in biological systems

The Raman spectra in the low 5-200 cm-1 frequency region of metabolically active E. coli cells have been analyzed to determine whether they are indicators of a possible in vivo underlying order by applying standard concepts derived from the Raman spectroscopy of crystalline systems with varying degrees of order. The analysis suggests that in-vivo space-time ordered structures involving amino acids associated with DNA exist since the low frequency lines of metabolically active cells can be assigned to lines seen in the spectra of crystals of given amino acids known to associate with DNA early in the lifetime of a cell.