Decision-making in the leech nervous system

Previous models of behavioral choice have described two types of hierarchy, a decision hierarchy, in which different classes of decisions are made at each level (Tinbergen, 1951), and a behavioral hierarchy, in which one behavior will take precedence over others (Davis, 1985). Most experimental work on the neuronal basis of decision-making has focussed on the latter of these: a behavioral hierarchy is described for an animal, and the neuronal basis for this hierarchy, hypothesized to depend on inhibitory interactions, is investigated. Although the concept of "dedicated command neurons" has been useful for guiding these studies, it appears that such neurons are rare. We present evidence that in the leech, most neurons, including high-level decision neurons, are active in more than one behavior. We include data from one newly-identified neuron that elicits both swimming and crawling motor patterns. We suggest that decisions are made by a "combinatorial code": what behavior is produced depends on the specific combination of decision neurons that are active at a particular time. Finally, we discuss how decision neurons may be arranged into a decision hierarchy, with neurons at each sequential level responsible for choosing between a narrower range of behaviors. We suggest additional sensory information is incorporated at each level to inform the decision.     

医学生实习中外科基本操作常犯错误及对策分析

目的：探讨医学生临床实习中在基本操作上常犯的错误,并对此提出建议和纠正措施,旨在进一步提高临床带教水平及临床教学质量。方法i总结我院临床医学专业实习生进行常见的外科临床基本操作考核成绩的情况,对错误类型等进行统计并提出合理的解决措施。结果：共考察学生90名,其中外科换药方法欠佳者22人（24．4％）,消毒铺巾存在问题24人（26．6％）,缝合存在问题32人（35．5％）,打结存在问题38（42．2％）人,拆线存在问题19（21．1％）人。结论：加强医学生外科实习期间的无菌观念培养及强化手术基本操作是临床教学的重要环节。     

The subtleties of error management

Error management theory is a theory of considerable scope and emerging influence. The theory claims that cognitive biases do not necessarily reflect flaws in evolutionary design, but that they may be best conceived as design features. Unfortunately, existing accounts are vague with respect to the key concept of bias. The result is that it is unclear that the cognitive biases that the theory seeks to defend are not simply a form of behavioral bias, in which case the theory reduces to a version of expected utility theory. We propose some clarifications and refinements of error management theory by emphasizing important distinctions between different forms of behavioral and cognitive bias. We also highlight a key assumption, that the capacity for Bayesian beliefs is subject to constraints. This assumption is necessary for what we see as error management theory's genuinely novel claim: that behavioral tendencies to avoid costly errors can rest on systematic departures from Bayesian beliefs and that the latter can be adaptive insofar as they generate the former.     

Information processing in the “not-in-my-backyard” strategy: An empirical study of anti-nuclear behavioral responses

Abstract

Nuclear power has become an effective way of addressing environmental challenges such as resources depletion and climate change and is consistent with a strategy of sustainable development. However, popular resistance has increased significantly because the potential accident risk poses a tremendous threat to people, property and ecosystems. This study explored the key determinants of the behavioral response to nuclear power plants. The protective action decision model and the heuristic-systematic information processing model were integrated and adapted to construct a hypothetical model emphasizing the important role of information processing strategies in the “not-in-my-backyard” phenomenon. The research verified the arguments by randomly conducting 405 questionnaires. The empirical results show that risk perception and information need are both important in predicting information seeking and behavioral response. Additionally, the results suggest a mediating role of information processing in the relationship between information seeking and behavioral response. Moreover, the results show that systematic processing is different from heuristic processing. Specifically, systematic processing is positively influenced by information seeking and has a negative influence on anti-nuclear behavioral response, but heuristic processing is negatively correlated with information need and positively correlated with behavioral response. Theoretical contributions, policy implications and further research are also discussed.     

Reporting,updating, and correcting systematic reviews of the effects of health care.

The recent growth in the numbers of published systematic reviews reflects growing recognition of their importance for improving knowledge about the effects of health care. In Britain the NHS R&D Programme has established two centres to prepare systematic reviews of existing information, and the Cochrane Collaboration--an international network of individuals and institutions--evolved to produce systematic, periodically updated reviews of randomised controlled trials. The large amount of existing evidence that needs to be considered creates a problem for the reporting of systematic reviews: the need to ensure that methods and results of systematic reviews are adequately described has to be reconciled with the limited space available in printed journals. A possible solution is the use of electronic publications: reviews could be published simultaneously in a short, printed form and in a more detailed electronic form. Electronic publications also have the advantage of the ease with which reviews may be updated as new evidence becomes available or mistakes are identified.     

Towards a characterization of behavior-disease models

The last decade saw the advent of increasingly realistic epidemic models that leverage on the availability of highly detailed census and human mobility data. Data-driven models aim at a granularity down to the level of households or single individuals. However, relatively little systematic work has been done to provide coupled behavior-disease models able to close the feedback loop between behavioral changes triggered in the population by an individual's perception of the disease spread and the actual disease spread itself. While models lacking this coupling can be extremely successful in mild epidemics, they obviously will be of limited use in situations where social disruption or behavioral alterations are induced in the population by knowledge of the disease. Here we propose a characterization of a set of prototypical mechanisms for self-initiated social distancing induced by local and non-local prevalence-based information available to individuals in the population. We characterize the effects of these mechanisms in the framework of a compartmental scheme that enlarges the basic SIR model by considering separate behavioral classes within the population. The transition of individuals in/out of behavioral classes is coupled with the spreading of the disease and provides a rich phase space with multiple epidemic peaks and tipping points. The class of models presented here can be used in the case of data-driven computational approaches to analyze scenarios of social adaptation and behavioral change.     

Cooperation under indirect reciprocity and imitative trust

Indirect reciprocity, a key concept in behavioral experiments and evolutionary game theory, provides a mechanism that allows reciprocal altruism to emerge in a population of self-regarding individuals even when repeated interactions between pairs of actors are unlikely. Recent empirical evidence show that humans typically follow complex assessment strategies involving both reciprocity and social imitation when making cooperative decisions. However, currently, we have no systematic understanding of how imitation, a mechanism that may also generate negative effects via a process of cumulative advantage, affects cooperation when repeated interactions are unlikely or information about a recipient's reputation is unavailable. Here we extend existing evolutionary models, which use an image score for reputation to track how individuals cooperate by contributing resources, by introducing a new imitative-trust score, which tracks whether actors have been the recipients of cooperation in the past. We show that imitative trust can co-exist with indirect reciprocity mechanisms up to a threshold and then cooperation reverses -revealing the elusive nature of cooperation. Moreover, we find that when information about a recipient's reputation is limited, trusting the action of third parties towards her (i.e. imitating) does favor a higher collective cooperation compared to random-trusting and share-alike mechanisms. We believe these results shed new light on the factors favoring social imitation as an adaptive mechanism in populations of cooperating social actors.     

Motion processing streams in Drosophila are behaviorally specialized

Motion vision is an ancient faculty, critical to many animals in a range of ethological contexts, the underlying algorithms of which provide central insights into neural computation. However, how motion cues guide behavior is poorly understood, as the neural circuits that implement these computations are largely unknown in any organism. We develop a systematic, forward genetic approach using high-throughput, quantitative behavioral analyses to identify the neural substrates of motion vision in Drosophila in an unbiased fashion. We then delimit the behavioral contributions of both known and novel circuit elements. Contrary to expectation from previous studies, we find that orienting responses to motion are shaped by at least two neural pathways. These pathways are sensitive to different visual features, diverge immediately postsynaptic to photoreceptors, and are coupled to distinct behavioral outputs. Thus, behavioral responses to complex stimuli can rely on surprising neural specialization from even the earliest sensory processing stages.     

Brain organization of the recognition of fragmented images in subjects who show different levels of task performance success

We studied the behavioral and EEG changes in healthy adults during recognition of fragmented images presented in a series beginning with a low fragmentation level up to a complete figure. Our sample was divided into two groups according to the recognition success. The first group made few mistakes. The other group made significantly more mistakes compared to the first group; this group had a shorter reaction time and a lower recognition threshold (i.e., the fragmentation level at which the object became recognizable). The ERP analysis showed the statistical dependence between the recognition success and the involvement of the frontal and caudal cortical areas. Compared to the second group, in the first one, we found no significant association between the recognition process and either early or late ERP components in the dorsolateral prefrontal cortex and found an increase of sensory-specific components P1 and P2 in the caudal areas. These results support the hypothesis on the impact of the prefrontal cortex on the successfulness of recognition of fragmented images.     

Pathogen pressure puts immune defense into perspective

The extent to which organisms can protect themselves from disease depends on both the immune defenses they maintain and the pathogens they face. At the same time, immune systems are shaped by the antigens they encounter, both over ecological and evolutionary time. Ecological immunologists often recognize these interactions, yet ecological immunology currently lacks major efforts to characterize the environmental, host-independent, antigenic pressures to which all animals are exposed. Failure to quantify relevant diseases and pathogens in studies of ecological immunology leads to contradictory hypotheses. In contrast, including measures of environmental and host-derived commensals, pathogens, and other immune-relevant organisms will strengthen the field of ecological immunology. In this article, we examine how pathogens and other organisms shape immune defenses and highlight why such information is essential for a better understanding of the causes of variation in immune defenses. We introduce the concept of "operative protection" for understanding the role of immunologically relevant organisms in shaping immune defense profiles, and demonstrate how the evolutionary implications of immune function are best understood in the context of the pressures that diseases and pathogens bring to bear on their hosts. We illustrate common mistakes in characterizing these immune-selective pressures, and provide suggestions for the use of molecular and other methods for measuring immune-relevant organisms.     

How house officers cope with their mistakes.

We examined how house officers coped with serious medical mistakes to gain insight into how medical educators should handle these situations. An anonymous questionnaire was mailed to 254 house officers in internal medicine asking them to describe their most important mistake and their response to it; 45% (N = 114) reported a mistake and completed the questionnaire. House officers experienced considerable emotional distress in response to their mistakes and used a variety of strategies to cope. In multivariate analysis, those who coped by accepting responsibility were more likely to make constructive changes in practice, but to experience more emotional distress. House officers who coped by escape-avoidance were more likely to report defensive changes in practice. For house officers who have made a mistake, we suggest that medical educators provide specific advice about preventing a recurrence of the mistake, provide emotional support, and help them understand that distress is an expected concomitant of learning from the experience.     

Fast coding of orientation in primary visual cortex

Understanding how populations of neurons encode sensory information is a major goal of systems neuroscience. Attempts to answer this question have focused on responses measured over several hundred milliseconds, a duration much longer than that frequently used by animals to make decisions about the environment. How reliably sensory information is encoded on briefer time scales, and how best to extract this information, is unknown. Although it has been proposed that neuronal response latency provides a major cue for fast decisions in the visual system, this hypothesis has not been tested systematically and in a quantitative manner. Here we use a simple 'race to threshold' readout mechanism to quantify the information content of spike time latency of primary visual (V1) cortical cells to stimulus orientation. We find that many V1 cells show pronounced tuning of their spike latency to stimulus orientation and that almost as much information can be extracted from spike latencies as from firing rates measured over much longer durations. To extract this information, stimulus onset must be estimated accurately. We show that the responses of cells with weak tuning of spike latency can provide a reliable onset detector. We find that spike latency information can be pooled from a large neuronal population, provided that the decision threshold is scaled linearly with the population size, yielding a processing time of the order of a few tens of milliseconds. Our results provide a novel mechanism for extracting information from neuronal populations over the very brief time scales in which behavioral judgments must sometimes be made.     

Coding of odors by a receptor repertoire

We provide a systematic analysis of how odor quality, quantity, and duration are encoded by the odorant receptor repertoire of the Drosophila antenna. We test the receptors with a panel of over 100 odors and find that strong responses are sparse, with response density dependent on chemical class. Individual receptors range along a continuum from narrowly tuned to broadly tuned. Broadly tuned receptors are most sensitive to structurally similar odorants. Strikingly, inhibitory responses are widespread among receptors. The temporal dynamics of the receptor repertoire provide a rich representation of odor quality, quantity, and duration. Receptors with similar odor sensitivity often map to widely dispersed glomeruli in the antennal lobe. We construct a multidimensional "odor space" based on the responses of each individual receptor and find that the positions of odors depend on their chemical class, concentration, and molecular complexity. The space provides a basis for predicting behavioral responses to odors.     

Brain imaging in nonhuman primates: insights into drug addiction

In vivo brain imaging enables the systematic examination of trait and state variables that contribute to the etiology of human diseases. This review highlights the use of in vivo imaging in nonhuman primate models of drug abuse. In efforts to translate findings from laboratory animals to humans, monkey models offer considerable advantages over those that use rodents and other species because of their neurobiological similarity to humans and their longer life span, which makes it possible to study individual subjects over several years. This article provides a brief overview of positron emission tomography (PET), magnetic resonance imaging (MRI)-based techniques, and encephalographic approaches, with a focus on methodological issues that investigators new to the field should consider. We discuss PET imaging studies involving the dopamine (DA) system, with a special emphasis on DA D2 receptors, and describe experimental approaches through which PET imaging data can provide information about the neuropharmacological and neurochemical actions of drugs that modify behavior. We also consider the use of imaging to understand the impact and interactions of genetic predispositions and environmental and physiological modulators on disease states. For MRI-based and encephalographic studies, we describe approaches that can provide new information about brain function. Although much work remains to be done to adapt and apply these techniques for routine use in nonhuman primates, there has been much progress. These techniques will provide the foundation for future studies aimed at developing behavioral and pharmacological treatments for many human diseases.     

Towards a simple logic in the determination of biological groups: the species and supraspecific groups

In this paper we discuss about the utility of the species concept as real definition, particularly the Mayr concept. We propose a method for the logical separation of taxa based in the statements of the logical mathematics and the application of the sets theory to the concepts in systematic. We attempt to provide an objective methodology for the interpretation of natural groups in biology including the species as a basic group in evolution. We introduce the concept of the hypothetical ancestor as a mathematical possibility derived from the use of matrix calculations for non square matrix.     

Normal Human Variation: Refocussing the Enhancement Debate

This article draws attention to several common mistakes in thinking about biomedical enhancement, mistakes that are made even by some supporters of enhancement. We illustrate these mistakes by examining objections that John Harris has recently raised against the use of pharmacological interventions to directly modulate moral decision‐making. We then apply these lessons to other influential figures in the debate about enhancement. One upshot of our argument is that many considerations presented as powerful objections to enhancement are really strong considerations in favour of biomedical enhancement, just in a different direction. Another upshot is that it is unfortunate that much of the current debate focuses on interventions that will radically transform normal human capacities. Such interventions are unlikely to be available in the near future, and may not even be feasible. But our argument shows that the enhancement project can still have a radical impact on human life even if biomedical enhancement operated entirely within the normal human range.