Molecular mechanisms underlying emotional learning and memory in the lateral amygdala

Fear conditioning is a valuable behavioral paradigm for studying the neural basis of emotional learning and memory. The lateral nucleus of the amygdala (LA) is a crucial site of neural changes that occur during fear conditioning. Pharmacological manipulations of the LA, strategically timed with respect to training and testing, have shed light on the molecular events that mediate the acquisition of fear associations and the formation and maintenance of long-term memories of those associations. Similar mechanisms have been found to underlie long-term potentiation (LTP) in LA, an artificial means of inducing synaptic plasticity and a physiological model of learning and memory. Thus, LTP-like changes in synaptic plasticity may underlie fear conditioning. Given that the neural circuit underlying fear conditioning has been implicated in emotional disorders in humans, the molecular mechanisms of fear conditioning are potential targets for psychotherapeutic drug development.     

Neural mechanisms underlying uninstructed orofacial movements during reward-based learning behaviors

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Neural and psychological mechanisms underlying appetitive learning: links to drug addiction

The complexity of drug addiction mirrors the complexity of the psychological processes that motivate animals to work for any reinforcer, be it a natural reward or a drug. Here, we review the role of the nucleus accumbens, together with its dopaminergic and cortical innervation, in responding to reinforcement. One important contribution made by the nucleus accumbens is to the process through which neutral stimuli, once paired with a reinforcer such as a drug, have the capacity to motivate behaviour. This process may be one of several contributing to addiction, and it may be amenable to pharmacological intervention.     

Neural mechanisms underlying amblyopia.

The nature of the neural basis of amblyopia is a matter of some debate. Recent neurophysiological data show correlates of amblyopia in the spatial properties of neurons in primary visual cortex. These neuronal deficits are probably the initial manifestation of the visual loss, but there are almost certainly additional deficits at higher levels of the visual pathways.     

Neural computations underlying the exertion of force: a model

We have developed a model that simulates possible mechanisms by which supraspinal neuronal signals coding forces could converge in the spinal cord and provide an ongoing integrated signal to the motoneuronal pools whose activation results in the exertion of force. The model consists of a three-layered neural network connected to a two-joint-six-muscle model of the arm. The network layers represent supraspinal populations, spinal cord interneurons, and motoneuronal pools. We propose an approach to train the network so that, after the synaptic connections between the layers are adjusted, the performance of the model is consistent with experimental data obtained on different organisms using different experimental paradigms: the stiffness characteristics of human arm; the structure of force fields generated by the stimulation of the frog's spinal cord; and a correlation between motor cortical activity and force exerted by monkey against an immovable object. The model predicts a specific pattern of connections between supraspinal populations coding forces and spinal cord interneurons: the weight of connection should be correlated with directional preference of interconnected units. Finally, our simulations demonstrate that the force generated by the sum of neural signals can be nearly equal to the vector sum of forces generated by each signal independently, in spite of the complex nonlinearities intervening between supraspinal commands and forces exerted by the arm in response to these commands.     

条件性运动学习的神经基础

人和动物形成多样的、快速可变的刺激－反应联合关系的过程被称为条件性运动学习。条件性运动学习使得人和动物具有很强的适应优势。损毁或行为电生理研究表明：运动前区背外侧部、基底神经节以及前额叶皮层腹侧部在条件性运动学习中起至关重要的作用;海马在条件性运动学习中也起着一定的作用;而杏仁核等一些结构在条件性运动学习中不起作用。     

Hypotheses on mechanisms underlying observational learning in animals

Learning through observation or vicarious learning has been systematically studied in a variety of animal species for only 20 years. Demonstrating in animals a capacity to benefit from a conspecific's experience, this type of acquisition was first thought to require superior cognitive processes and thus to be restricted to primates, if possible at all in animals. The concept of imitation was commonly applied in this line of study to any social transmission. Later, experiments on vicarious learning showed that numerous species (rodents, cats, birds, primates, etc.) learn more quickly to perform an act whenever they have the opportunity of watching a conspecific performing that act. The principal characteristic of this acquisition is that it occurs during the observation period when the observer has no opportunity of either performing a response or receiving reinforcement. Four hypothesis have been put forward to explain the mechanisms underlying this type of acquisition : local enhancement, the opportunity for mediate responses, a sensory preconditioning, and the monitoring of the observer's response by some quantitative and/or qualitative aspects of the model's response. The fact that animals prove to have such a capacity is moreover a factor to be kept in mind in all studies in the eco-ethological field (particularly those concerning the predator-prey relation).     

Neural mechanisms of birdsong memory

The process through which young male songbirds learn the characteristics of the songs of an adult male of their own species has strong similarities with speech acquisition in human infants. Both involve two phases: a period of auditory memorization followed by a period during which the individual develops its own vocalizations. The avian 'song system', a network of brain nuclei, is the probable neural substrate for the second phase of sensorimotor learning. By contrast, the neural representation of song memory acquired in the first phase is localized outside the song system, in different regions of the avian equivalent of the human auditory association cortex.     

Neural mechanisms underlying hyperphagia in Prader-Willi syndrome

Objective: Prader‐Willi syndrome (PWS) is a genetic disorder associated with developmental delay, obesity, and obsessive behavior related to food consumption. The most striking symptom of PWS is hyperphagia; as such, PWS may provide important insights into factors leading to overeating and obesity in the general population. We used functional magnetic resonance imaging to study the neural mechanisms underlying responses to visual food stimuli, before and after eating, in individuals with PWS and a healthy weight control (HWC) group. Research Methods and Procedures: Participants were scanned once before (pre‐meal) and once after (post‐meal) eating a standardized meal. Pictures of food, animals, and blurred control images were presented in a block design format during acquisition of functional magnetic resonance imaging data. Results: Statistical contrasts in the HWC group showed greater activation to food pictures in the pre‐meal condition compared with the post‐meal condition in the amygdala, orbitofrontal cortex, medial prefrontal cortex (medial PFC), and frontal operculum. In comparison, the PWS group exhibited greater activation to food pictures in the post‐meal condition compared with the pre‐meal condition in the orbitofrontal cortex, medial PFC, insula, hippocampus, and parahippocampal gyrus. Between‐group contrasts in the pre‐ and post‐meal conditions confirmed group differences, with the PWS group showing greater activation than the HWC group after the meal in food motivation networks. Discussion: Results point to distinct neural mechanisms associated with hyperphagia in PWS. After eating a meal, the PWS group showed hyperfunction in limbic and paralimbic regions that drive eating behavior (e.g., the amygdala) and in regions that suppress food intake (e.g., the medial PFC).     

Neural mechanisms underlying sex-specific behaviors in vertebrates

From invertebrates to humans, males and females of a given species display identifiable differences in behaviors, mostly but not exclusively pertaining to sexual and social behaviors. Within a species, individuals preferentially exhibit the set of behaviors that is typical of their sex. These behaviors include a wide range of coordinated and genetically pre-programmed social and sexual displays that ensure successful reproductive strategies and the survival of the species. What are the mechanisms underlying sex-specific brain function? Although sexually dimorphic behaviors represent the most extreme examples of behavioral variability within a species, the basic principles underlying the sex specificity of brain activity are largely unknown. Moreover, with few exceptions, the quest for fundamental differences in male and female brain structures and circuits that would parallel that of sexual behaviors and peripheral organs has so far uncovered modest quantitative rather than the expected clear qualitative differences. As will be detailed in this review, recent advances have directly challenged the established notion of the unique role of steroid hormones in organizing and activating male- and female-specific brain circuits and have uncovered new mechanisms underlying the neural control of sex-specific behaviors.     

Neural mechanisms underlying the evolvability of behaviour

The complexity of nervous systems alters the evolvability of behaviour. Complex nervous systems are phylogenetically constrained; nevertheless particular species-specific behaviours have repeatedly evolved, suggesting a predisposition towards those behaviours. Independently evolved behaviours in animals that share a common neural architecture are generally produced by homologous neural structures, homologous neural pathways and even in the case of some invertebrates, homologous identified neurons. Such parallel evolution has been documented in the chromatic sensitivity of visual systems, motor behaviours and complex social behaviours such as pair-bonding. The appearance of homoplasious behaviours produced by homologous neural substrates suggests that there might be features of these nervous systems that favoured the repeated evolution of particular behaviours. Neuromodulation may be one such feature because it allows anatomically defined neural circuitry to be re-purposed. The developmental, genetic and physiological mechanisms that contribute to nervous system complexity may also bias the evolution of behaviour, thereby affecting the evolvability of species-specific behaviour.     

Molecular mechanisms of learning and memory

Memory is the process by which organisms are able to record their experiences, and use this information to adapt their responses to the environment. As such, it is vital for survival. In recent years, the development of spatially and temporally selective techniques for the regulation of gene expression has allowed the molecular details of this process to emerge. Here we review the molecular mechanisms thought to underlie memory acquisition and storage, as well as discuss recent evidence regarding the mechanisms of subsequent memory consolidation.     

Neural circuits and activity dynamics underlying sex-specific effects of chronic social isolation stress

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Synaptic mechanisms underlying pheromonal memory in vomeronasal system

When female mice are mated, they form a memory of the pheromonal signal of the male with which they mated. Our research objective was to determine the neural mechanisms underlying learning and memory by employing a convenient model of pheromone-induced olfactory memory (pheromonal memory). Formation of pheromonal memory depends on the association between mating and exposure to pheromones. Synaptic plasticity involving this memory occurs in the accessory olfactory bulb (AOB), depending on vaginocervical stimulation at mating. The vaginocervical stimulation at mating reduces the dendrodendritic feedback inhibition of principal neurons (mitral/tufted (MT) cells) in the AOB and enhances their cell activity. The enhancement of activity induces on these plastic changes in dendrodendritic synapses, which in turn enhance GABA-mediated inhibition of MT cell activity. This "self-inhibition" of MT cells activity in response to pheromonal signals of the partner can disrupt its signals at the AOB thereby preventing the signals from reaching the central brain. The formation and maintenance of pheromonal memory is based on this inhibition mechanism.     

Neural network mechanisms underlying stimulus driven variability reduction

It is well established that the variability of the neural activity across trials, as measured by the Fano factor, is elevated. This fact poses limits on information encoding by the neural activity. However, a series of recent neurophysiological experiments have changed this traditional view. Single cell recordings across a variety of species, brain areas, brain states and stimulus conditions demonstrate a remarkable reduction of the neural variability when an external stimulation is applied and when attention is allocated towards a stimulus within a neuron's receptive field, suggesting an enhancement of information encoding. Using an heterogeneously connected neural network model whose dynamics exhibits multiple attractors, we demonstrate here how this variability reduction can arise from a network effect. In the spontaneous state, we show that the high degree of neural variability is mainly due to fluctuation-driven excursions from attractor to attractor. This occurs when, in the parameter space, the network working point is around the bifurcation allowing multistable attractors. The application of an external excitatory drive by stimulation or attention stabilizes one specific attractor, eliminating in this way the transitions between the different attractors and resulting in a net decrease in neural variability over trials. Importantly, non-responsive neurons also exhibit a reduction of variability. Finally, this reduced variability is found to arise from an increased regularity of the neural spike trains. In conclusion, these results suggest that the variability reduction under stimulation and attention is a property of neural circuits.