Evidence against the presence of NMDA receptors at a central glutamatergic synapse in leeches

The N-methyl-D-aspartate (NMDA) receptor, able to detect the coincidence of pre- and postsynaptic events, is considered to be the molecular analogue of associative learning. Associative learning is well known in leeches, particularly for reflexive shortening. The neuronal circuits underlying shortening have been documented and include neurons that release glutamate. Is this type of learning in leeches also mediated by NMDA receptors? The synapse between the P sensory neuron and the motoneuron-like AP cell was examined and: (1) NMDA failed to elicit a response in the AP cell, (2) the NMDA receptor antagonist 2-amino-5-phosphopentanoic acid affected synaptic transmission only at high, non-specific levels, and (3) the antagonist for the glycine-binding site 7-chloro-kynurenic acid at 20 μM did not inhibit transmission. Therefore, there are evidently no NMDA receptors at the P to AP synapse, suggesting other mechanisms of associative learning in leeches. Electronic Publication     

Izhikevich神经元网络的同步与联想记忆

联想记忆是人脑的一项重要功能。以Izhikevich神经元模型为节点,构建神经网络,神经元之间采用全连结的方式;以神经元群体的时空编码（spatio-temporal coding）理论研究所构建神经网络的联想记忆功能。在加入高斯白噪声的情况下,调节网络中神经元之间的连接强度的大小,当连接强度和噪声强度达到一个阈值时网络中部分神经元同步放电,实现了存储模式的联想记忆与恢复。仿真结果表明,神经元之间的连接强度在联想记忆的过程中发挥了重要的作用,噪声可以促使神经元间的同步放电,有助于神经网络实现存储模式的联想记忆与恢复。     

Prediction error during retrospective revaluation of causal associations in humans: fMRI evidence in favor of an associative model of learning

Associative learning theory assumes that prediction error is a driving force in learning. A competing view, probabilistic contrast (PC) theory, is that learning and prediction error are unrelated. We tested a learning phenomenon that has proved troublesome for associative theory--retrospective revaluation--to evaluate these two models. We previously showed that activation in right lateral prefrontal cortex (PFC) provides a reliable signature for the presence of prediction error. Thus, if the associative view is correct, retrospective revaluation should be accompanied by right lateral PFC activation. PC theory would be supported by the absence of this activation. Right PFC and ventral striatal activation occurred during retrospective revaluation, supporting the associative account. Activations appeared to reflect the degree of revaluation, predicting later brain responses to revalued cues. Our results support a modified associative account of retrospective revaluation and demonstrate the potential of functional neuroimaging as a tool for evaluating competing learning models.     

Transitive inference in pigeons: measuring the associative values of Stimuli B and D

Several reinforcement-based models have been proposed to explain transitive-like behavior in nonverbal transitive inference tasks. These models assume that the initial training required for memorizing the premises produces an ordered series of associative values (A>B>C>D>E); these values can then be used to select the "transitively correct" stimulus in a novel pair (e.g., BD). Our study experimentally tested this assumption by using resistance-to-extinction and resistance-to-reinforcement techniques to obtain empirical measures of associative strength for Stimuli B and D. We first measured the associative strengths of these stimuli after completion of initial training with overlapping pairs of colored squares (A+B-, B+C-, C+D-, and D+E-) using resistance-to-extinction and resistance-to-reinforcement procedures. Next, we used massed presentations of Pair D+E- (termed bias reversal) that ought to increase the associative value of Stimulus D, and again measured the associative strengths of the stimuli. None of our experimental measures of associative strength correlated with pigeons' behavior in the BD test or with BD performance predicted by associative models either before or after bias reversal (Wynne, 1995; Siemann and Delius, 1998). These results question validity of reinforcement-based models for explaining animals' behavior in nonverbal TI tasks.     

Learning in a sedentary insect predator: Antlions (Neuroptera: Myrmeleontidae) anticipate a long wait

Pit-building antlions, the larvae of a winged adult insect, capture food by digging funnel-shaped pits in sand and then lying in wait, buried at the vertex, for prey to fall inside. The sedentary nature of this sit-and-wait predatory behaviour and, especially, antlions’ innate ability to detect prey arrival, do not fit the typical profile of insects that possess learning capabilities. However, we show, for the first time, that learning can play an important role in this unique form of predation. In three separate experiments, individual antlions received, once per training day, either a vibrational cue presented immediately before the arrival of food or that same cue presented independently of food arrival. Signalling of food not only produced a learned anticipatory behavioural response (Experiment 1), but also conferred a fitness advantage: Associative learning enabled antlions to dig better pits (Experiments 2 and 3), extract food more efficiently (Experiments 2 and 3), and, in turn, moult sooner (Experiment 3) than antlions not receiving the associative learning treatment.     

Review: Current status and future prospects of associative nitrogen fixation in rice

Biological sources of nutrients are gaining importance over the chemical and organic sources from the standpoint of environmental safety and quality, and sustainable agriculture. The nutrient input for a growing rice crop can largely be met by promoting the activities of physiologically diverse microorganisms in the aerobic, anaerobic and interface zones in the ecologically important flooded soils. Associative bacteria contribute from 10 to 80 kg N per hectare per cropping season depending upon the ecosystem, cultural practices and rice variety grown. In addition to N contribution, these bacterial associations can improve the nutrient transformations and contribute to plant growth-promoting effects. Current improved agronomic and crop production management systems greatly affect the contributions of biological sources to the overall soil nutrient status. Azospirillum and other associative bacterial systems have been intensively researched using various evaluation techniques to understand the diazotrophic rhizocoenosis. Researches clearly indicate that these associations are governed by several soil, water, nutrient, agrochemical, plant genotype and other biological factors. Considerable efforts have been made so far in selecting efficient bacterial strains as inoculants and identifying host genotypes which support maximum nitrogenase activity in addition to other beneficial traits of effective associative relationships. Knowledge gained so far on how the N2-fixing system in rice functions suggests the need for providing optimum management practices to ensure greater contribution from the plant-microbe associations. Holistic approaches integrating technological developments and achievements in biological sciences could lead to crop improvement. Research on extending nitrogen-fixing symbiosis to rice using molecular and genetic approaches is underway, albeit at a slow pace. The need for further fine-tuning and developing management practices, innovative approaches to improve rice-bacterial systems and the strategies to sustain the benefits from associative diazotrophy are discussed.     

Associative learning and animal cognition

Associative learning plays a variety of roles in the study of animal cognition from a core theoretical component to a null hypothesis against which the contribution of cognitive processes is assessed. Two developments in contemporary associative learning have enhanced its relevance to animal cognition. The first concerns the role of associatively activated representations, whereas the second is the development of hybrid theories in which learning is determined by prediction errors, both directly and indirectly through associability processes. However, it remains unclear whether these developments allow associative theory to capture the psychological rationality of cognition. I argue that embodying associative processes within specific processing architectures provides mechanisms that can mediate psychological rationality and illustrate such embodiment by discussing the relationship between practical reasoning and the associative-cybernetic model of goal-directed action.     

Variational learning for Generalized Associative Functional Networks in modeling dynamic process of plant growth

This paper presents a new statistical techniques — Bayesian Generalized Associative Functional Networks (GAFN), to model the dynamical plant growth process of greenhouse crops. GAFNs are able to incorporate the domain knowledge and data to model complex ecosystem. By use of the functional networks and Bayesian framework, the prior knowledge can be naturally embedded into the model, and the functional relationship between inputs and outputs can be learned during the training process. Our main interest is focused on the Generalized Associative Functional Networks (GAFNs), which are appropriate to model multiple variable processes. Three main advantages are obtained through the applications of Bayesian GAFN methods to modeling dynamic process of plant growth. Firstly, this approach provides a powerful tool for revealing some useful relationships between the greenhouse environmental factors and the plant growth parameters. Secondly, Bayesian GAFN can model Multiple-Input Multiple-Output (MIMO) systems from the given data, and presents a good generalization capability from the final single model for successfully fitting all 12 data sets over 5-year field experiments. Thirdly, the Bayesian GAFN method can also play as an optimization tool to estimate the interested parameter in the agro-ecosystem. In this work, two algorithms are proposed for the statistical inference of parameters in GAFNs. Both of them are based on the variational inference, also called variational Bayes (VB) techniques, which may provide probabilistic interpretations for the built models. VB-based learning methods are able to yield estimations of the full posterior probability of model parameters. Synthetic and real-world examples are implemented to confirm the validity of the proposed methods.     

Pseudo-relaxation learning algorithm for complex-valued associative memory

HAM (Hopfield Associative Memory) and BAM (Bidirectinal Associative Memory) are representative associative memories by neural networks. The storage capacity by the Hebb rule, which is often used, is extremely low. In order to improve it, some learning methods, for example, pseudo-inverse matrix learning and gradient descent learning, have been introduced. Oh introduced pseudo-relaxation learning algorithm to HAM and BAM. In order to accelerate it, Hattori proposed quick learning. Noest proposed CAM (Complex-valued Associative Memory), which is complex-valued HAM. The storage capacity of CAM by the Hebb rule is also extremely low. Pseudo-inverse matrix learning and gradient descent learning have already been generalized to CAM. In this paper, we apply pseudo-relaxation learning algorithm to CAM in order to improve the capacity.     

Transitory memory retrieval in a biologically plausible neural network model

A number of memory models have been proposed. These all have the basic structure that excitatory neurons are reciprocally connected by recurrent connections together with the connections with inhibitory neurons, which yields associative memory (i.e., pattern completion) and successive retrieval of memory. In most of the models, a simple mathematical model for a neuron in the form of a discrete map is adopted. It has not, however, been clarified whether behaviors like associative memory and successive retrieval of memory appear when a biologically plausible neuron model is used. In this paper, we propose a network model for associative memory and successive retrieval of memory based on Pinsky-Rinzel neurons. The state of pattern completion in associative memory can be observed with an appropriate balance of excitatory and inhibitory connection strengths. Increasing of the connection strength of inhibitory interneurons changes the state of memory retrieval from associative memory to successive retrieval of memory. We investigate this transition.     

The evolution of associative learning: A factor in the Cambrian explosion

The Cambrian explosion is probably the most spectacular diversification in evolutionary history, and understanding it has been a challenge for biologists since the time of Darwin. We propose that one of the key factors that drove this great diversification was associative learning. Although the evolutionary emergence of associative learning required only small modifications in already existing memory mechanisms and may have occurred in parallel in several groups, once this type of learning appeared on the evolutionary scene, it led to extreme diversifying selection at the ecological level: it enabled animals to exploit new niches, promoted new types of relations and arms races, and led to adaptive responses that became fixed through genetic accommodation processes. This learning-based diversification was accompanied by neurohormonal stress, which led to an ongoing destabilization and re-patterning of the epigenome, which, in turn, enabled further morphological, physiological, and behavioral diversification. Our hypothesis combines several previous ideas about the dynamics of the Cambrian explosion and provides a unifying framework that includes both ecological and genomic factors. We conclude by suggesting research directions that would clarify the timing and manner in which associative learning evolved, and the effects it had on the evolution of nervous systems, genomes, and animal morphology.     

Associative Learning during Early Adulthood Enhances Later Memory Retention in Honeybees

Background

Cognitive experiences during the early stages of life play an important role in shaping the future behavior in mammals but also in insects, in which precocious learning can directly modify behaviors later in life depending on both the timing and the rearing environment. However, whether olfactory associative learning acquired early in the adult stage of insects affect memorizing of new learning events has not been studied yet.

Methodology

Groups of adult honeybee workers that experienced an odor paired with a sucrose solution 5 to 8 days or 9 to 12 days after emergence were previously exposed to (i) a rewarded experience through the offering of scented food, or (ii) a non-rewarded experience with a pure volatile compound in the rearing environment.

Principal Findings

Early rewarded experiences (either at 1–4 or 5–8 days of adult age) enhanced retention performance in 9–12-day-conditioned bees when they were tested at 17 days of age. The highest retention levels at this age, which could not be improved with prior rewarded experiences, were found for memories established at 5–8 days of adult age. Associative memories acquired at 9–12 days of age showed a weak effect on retention for some pure pre-exposed volatile compounds; whereas the sole exposure of an odor at any younger age did not promote long-term effects on learning performance.

Conclusions

The associative learning events that occurred a few days after adult emergence improved memorizing in middle-aged bees. In addition, both the timing and the nature of early sensory inputs interact to enhance retention of new learning events acquired later in life, an important matter in the social life of honeybees.     

Modeling the effects of enclosure size on geometry learning

Several recent studies have shown that chickens, fish, and humans trained to find a reward in a corner of a rectangular enclosure with distinctive features rely more on the geometry of the enclosure in small enclosures and rely more on the features in large enclosures. Here, these results are modeled using a recent associative model of geometry learning [Miller, N.Y., Shettleworth, S.J., 2007. Learning about environmental geometry: an associative model. J. Exp. Psychol. Anim. B 33, 191–212]. By adjusting the salience of either geometric or featural information or both the model is capable of reproducing much of the data on the effects of enclosure size on geometry learning.     

Insights into the encoding of memories through the circuitry of fear

Associative learning induces physical changes to a network of cells, known as the memory engram. Fear is widely used as a model to understand the circuit motifs that underpin associative memories. Recent advances suggest that the distinct circuitry engaged by different conditioned stimuli (e.g. tone vs. context) can provide insights into what information is being encoded in the fear engram. Moreover, as the fear memory matures, the circuitry engaged indicates how information is remodelled after learning and hints at potential mechanisms for consolidation. Finally, we propose that the consolidation of fear memories involves plasticity of engram cells through coordinated activity between brain regions, and the inherent characteristics of the circuitry may mediate this process.     

Induction of NF-kappa B DNA-binding activity during the G0-to-G1 transition in mouse fibroblasts.

A DNA-binding factor with properties of NF-kappa B and another similar activity are rapidly induced when growth-arrested BALB/c 3T3 cells are stimulated with serum growth factors. Induction of these DNA-binding activities is not inhibited by pretreatment of quiescent cells with the protein synthesis inhibitor cycloheximide. Interestingly, the major NF-kappa B-like activity is not detected in nuclear extracts of proliferating cells, and thus its expression appears to be limited to the G0-to-G1 transition in 3T3 cells. These DNA-binding activities bind many of the expected NF-kappa B target sequences, including elements in the class I major histocompatibility complex and human immunodeficiency virus enhancers, as well as a recently identified NF-kappa B binding site upstream of the c-myc gene. Furthermore, both the class I major histocompatibility complex and c-myc NF-kappa B binding sites confer inducibility on a minimal promoter in 3T3 cells stimulated with serum growth factors. The results demonstrate that NF-kappa B-like activities are immediate-early response proteins in 3T3 cells and suggest a role for these factors in the G0-to-G1 transition.     

Role of Visual Cues in Host Searching Behaviour of Exorista sorbillans Widemann, a Parasitoid of Muga Silk Worm, Antheraea assama Westwood

Visual cues are known to be used by numerous animal taxa to gather information on quality and location of resources. The present work was carried out to understand if visual cues are involved in host localization by E. sorbillans and if so, does an associative learning influence host localization behaviour. The Uzi fly, Exorista sorbillans Widemann is an endoparasitoid of the silkworm, Antheraea assama Westwood and a serious threat to the silk production industry in general. Associative learning in the fly was studied by using green and orange coloured paper disk in presence or absence of a reward, sugar or silk worm larvae. Training for the rewards in the learning experiment was given for 2 days for 30 min at regular intervals. Flies positively associated colored paper disks with the presence of hosts which indicated that they might employ visual learning of microhabitats associated with host habitats, or the hosts themselves. Our results showed that in context of host foraging, training with colours as host associated cues was more reliable than training with colours in the absence of hosts. Thus associative learning may be considered to be an essential component for survival of Exorista sorbillans.     

Priming of associative long-term depression in the dentate gyrus by theta frequency synaptic activity.

Associative long-term synaptic depression (LTD) was investigated utilizing negatively correlated activity patterns in the medial and lateral perforant path inputs to the dentate gyrus in anesthetized rats. Normally only nonassociative, or heterosynaptic, LTD is elicited in naive pathways. We report here, however, that associative LTD in the lateral path is readily induced after being "primed" by a brief period of lateral path synaptic activity at a theta rhythm frequency (5 Hz). Priming of associative LTD lasts at least 2 hr and is not seen following priming activity at non-theta frequencies (1 and 15 Hz). N-methyl-D-aspartate receptor activation is critical for establishing the priming effect, but not for the subsequent induction of the associative LTD. These data suggest that theta rhythm activity in the dentate gyrus may predispose the system to a specific form of synaptic plasticity, associative LTD.     

Social learning of floral odours inside the honeybee hive

A honeybee hive serves as an information centre in which communication among bees allows the colony to exploit the most profitable resources in a continuously changing environment. The best-studied communication behaviour in this context is the waggle dance performed by returning foragers, which encodes information about the distance and direction to the food source. It has been suggested that another information cue, floral scents transferred within the hive, is also important for recruitment to food sources, as bee recruits are more strongly attracted to odours previously brought back by foragers in both honeybees and bumble-bees. These observations suggested that honeybees learn the odour from successful foragers before leaving the hive. However, this has never been shown directly and the mechanisms and properties of the learning process remain obscure. We tested the learning and memory of recruited bees in the laboratory using the proboscis extension response (PER) paradigm, and show that recruits indeed learn the nectar odours brought back by foragers by associative learning and retrieve this memory in the PER paradigm. The associative nature of this learning reveals that information was gained during mouth-to-mouth contacts among bees (trophallaxis). Results further suggest that the information is transferred to long-term memory. Associative learning of food odours in a social context may help recruits to find a particular food source faster.     

Event timing in associative learning: from biochemical reaction dynamics to behavioural observations

Associative learning relies on event timing. Fruit flies for example, once trained with an odour that precedes electric shock, subsequently avoid this odour (punishment learning); if, on the other hand the odour follows the shock during training, it is approached later on (relief learning). During training, an odour-induced Ca(++) signal and a shock-induced dopaminergic signal converge in the Kenyon cells, synergistically activating a Ca(++)-calmodulin-sensitive adenylate cyclase, which likely leads to the synaptic plasticity underlying the conditioned avoidance of the odour. In Aplysia, the effect of serotonin on the corresponding adenylate cyclase is bi-directionally modulated by Ca(++), depending on the relative timing of the two inputs. Using a computational approach, we quantitatively explore this biochemical property of the adenylate cyclase and show that it can generate the effect of event timing on associative learning. We overcome the shortage of behavioural data in Aplysia and biochemical data in Drosophila by combining findings from both systems.     

Pathways of pyruvate metabolism and energetics of growth of Brochothrix thermosphacta

Brochothrix thermosphacta, a psychrophilic, facultative anaerobe, exhibited homolactic fermentation under anaerobic conditions in the presence of excess glucose. In glucose-limited chemostat culture (on synthetic medium), ethanol, acetate, formate and lactate were formed. Formation of ethanol and acetate was accounted for by the formate concentrations in culture filtrates. Acetate, formate and ethanol formation was enhanced at low growth rates in chemostat culture. O₂-limited chemostat studies indicated that formate formation was inhibited by oxygen (<0.2 M) and studies with a variant, strain 301, which lacked pyruvate dehydrogenase activity, showed that cell culture in basal medium did not occur at O₂ tensions greater than that preventing formate production in the wild-type strain. The data are consistent with stimulation of pyruvate formate lyase activity by glucose limitation, possibly because of decreased concentrations of glycolytic intermediates.S.P. Singh was and A. Garrett and P.J. Rogers are with the Division of Science and Technology, Griffith University, Brisbane 4111, Australia. J. McAvoy and A.F. Egan are with the CSIRO Meat Research Laboratory, Cannon Hills, Brisbane 4170, Australia. S.P. Singh is now with the Department of Microbiology, C.B.S. & H., G.B. Pant University of Agriculture & Technology, Pantnagar-263145, India.