近存储饱和状态下联想学习记忆的神经网络模型

本文提出了神经网络在近饱和状态下的一种联想学习记忆模型.讨论了该模型的主要特性,对由100个神经元、记忆10个随机图样组成的网络系统给出并分析了计算机模拟结果,讨论了该模型的学习律与传统的Hebb学习律的区别,研究了网络在学习记忆和联想新态时初始噪声Pi和联想噪声Pa对新态恢复行为的影响,总结了在近饱和状态下该模型所具有的优势.     

新疆准噶尔盆地侏罗纪的几种昆虫化石

新疆准噶尔盆地中生代陆相地层产有丰富的昆虫化石,已研究报道的计有8属19种,归于4目5科。其中,Protorthophlebia strigata Zhang,1996和Orthophlebia exculpta Zhang,1996产自乌苏上三叠统小泉沟群;Mesohagla xinjiangensis Zhang,1996,Protorthophlebia latipennis Tillyard,1933,Ortlwphlebia latebrosa Sukatsheva,1985,Orthophlebia colorata Zhang,1996,Mesopanorpa brodiei(Tillyard,1933)Martynova,1948,Mesopanorpa kuliki Martynova,1948,Mesopanorpa obscura(Martynov,1925)Martynov,1927,Mesopanorpa densa Zhang,1996,Mesopanorpa monstrosa Zhang,1996,Fletcheriana jurassica Zhang,1997,Plachutella exculpta Zhang,1997和Pseudocossus strenus Zhang,1997产自克拉玛依下侏罗统八道湾组;Ovivagina longa Zhang,1997,Ovivagina propinqua Zhang,1997和Ovivagina prolixa Zhang,1997产自沙湾县八道湾组;Ovivagina immediata Zhang,1997产自克拉玛依中侏罗统西山窑组。根据产自准噶尔盆地下侏罗统的同翅目昆虫盖翅标本,建立3新种,即产自沙湾县南安集海八道湾组的Procercopis shawanensis sp．nov．,产自克拉玛依吐孜沟八道湾组的Procercopina delicata sp．nov．,以及产自吉木萨尔县西大沟三工河组的Eofulgoridium tenellum sp．nov．。前两种归入原沫蝉科,最后一种归入短足蜡蝉科;这是Procercopis Martynov和Procercopina Martynov在中国的首次记录。Procercopis shawanensis与P．longipennis Becker Migdisova相似,区别在于新种R脉近末端有一短分支,Rs脉分叉一次,Rs与M脉之间只有一条横脉;Procsrcopina delicata与P．asiatica Martynov的区别在于新种横脉r-rs和r-m没有在一条线上,Rs脉分为2支,M脉后支简单;Eofulgoridium tenellum与E．kisylkiense Martynov的区别在于后者Sc脉在C脉与R脉的中间,M脉三分支。CuA脉在R脉主干分为R与Rs脉之前分叉。     

植食性昆虫的学习行为

学习是指因经历不同而导致的行为变化。在植食性昆虫中,学习主要包含习惯性反应、厌恶性学习、联系性学习、敏感性反应和嗜好性诱导等类型。昆虫在幼虫和成虫期都具有学习能力,但幼虫期食料和取食经历不会对成虫行为产生直接影响。昆虫学习行为的表现受其本身食性、寄主刺激物的类别及寄主植物时空分布动态等因子的影响。学习能力有助于植食性昆虫应对复杂多变的植物环境,提高对寄主植物的利用效率,有利于其生存繁衍。对害虫学习行为的了解可为栖境调控、行为调控等害虫治理方法提供重要     

几种昆虫病毒交叉感染玉米螟的研究

银纹夜蛾NPV(P_aNPV)、柞蚕NPV(ApNPV)和赤松毛虫CPV(D_aCPV)可感染玉米螟。D_aCPV对玉米螟1龄幼虫的ID_(50)为5.9×10~5PIB/ml饲料,对幼虫的生长发育、蛹重、羽化率和成虫寿命有显著影响。D_aCPV主要侵染幼虫中肠柱状细胞,在细胞质中增殖;P_aNPV和A_pNPV主要侵染幼虫的体壁细胞和气管壁细胞。D_aCPV在玉米螟幼虫体内增殖后,多角体形态由正六角形变为锥形或四方形;成虫羽化时排出的蛹便可观察到多角体,病毒可传递给子代。利用其他昆虫病毒有防治玉米螟的可能性。     

主动联想记忆神经网络模型

在信息编码能提高联想记忆的存贮能力和脑内存在主动活动机制的启发下,提出一个主动联想记忆模型。模型包括两个神经网络,其一为输入和输出网络,另一个为在学习时期能自主产生兴奋模式的主动网络。两个网络的神经元之间有突触联系。由于自主产生的兴奋模式与输入无关,并可能接近于相互正交,因此,本模型有较高的存贮能力。初步分析和计算机仿真证明：本模型确有比通常联想记忆模型高的存贮能力,特别是在输入模式间有高度相关情况下、最后,对提出的模型与双向自联想记忆和光学全息存贮机制的关系作了讨论。     

植食性昆虫学习行为与害虫治理的关系

植食性昆虫的学习行为一般具有习惯性反应、厌恶性学习、联系性学习、敏感性反应、嗜好性诱导几种类型,它们对害虫防治方法的效果具有重要影响。害虫通过嗜好性诱导对栖境中大面积单作农作物造成更大的危害,通过联系性学习可对诱虫植物的效果产生积极或消极的影响。害虫对驱避剂或杀虫剂等产生习惯性反应可降低其防治效果。害虫对寄主植物驱避抗性产生习惯性学习就会加重对作物的为害,产生厌恶性学习则有利于对作物的保护。利用害虫的联系性学习行为,释放前让不育雄虫学习自然交配场所的环境刺激,可增强通过释放不育雄虫控制害虫的防治效果。了解植食性昆虫学习行为对害虫治理的影响有助于研究和发展有效的栖境调控、行为调控等策略和方法。     

三种杀虫剂对几种昆虫天敌的毒力测定

为了明确几种常用杀虫剂对捕食性天敌（异色瓢虫Harmonia axyridis Pallas、东亚小花蝽Orius sauteri Poppius、智利小植绥螨Phytoseiulus persimilis）和寄生性天敌（松毛虫赤眼蜂Trichogramma dendrolimi Matsumura、丽蚜小蜂Encarsia formosa Gahan、中红侧沟茧蜂Microplitis mediator Haliday）的影响,在室内采用标准生物测定方法测定了阿维菌素、吡虫啉和噻嗪酮对以上昆虫天敌的毒力。结果表明：三种杀虫剂对六种供试天敌的毒力大小表现出相似趋势,即阿维菌素 > 吡虫啉 > 噻嗪酮;三种药剂对寄生性天敌的毒力均显著高于捕食性天敌。因此在害虫综合治理中应尽量选用对天敌昆虫相对安全的昆虫生长调节剂类的噻嗪酮,以起到保护天敌的作用。     

几种昆虫生长调节剂对家白蚁的毒效试验

在室内条件下测定了卡死克、抑太保、灭幼豚3号、爱力螨克和扑虱灵五种昆虫生长调节剂对家白蚁的毒杀效果。初步筛选结果表明：卡死克、抑太保和爱力螨克对家白蚁的毒杀效果均较好,家白蚁对爱力螨克尤其敏感。2．30pm。yL爱力螨克、327．36pm0VL、卡死克和369．80V＊wL抑太保处理白蚁5～6天后,其死亡率可达100％。忌避性试验表明：卡死克、抑太保和爱力螨克对家白蚁均无明显的驱避作用。     

零频率估计昆虫种群密度的几种模型

在田间调查昆虫数量是非常耗费时间和人力的,尤其在确定某种害虫防治对象田时,面积大,时间性强,迫切需求一种简便、迅速、可靠的密度估值方法。丁岩钦[1]研究了华北棉区棉铃虫无虫率与百株虫口密度之间的频率一密度关系,采用了Wilson的公式,得到很好拟合,这样只要知道无虫样本数就可估得百株虫口数,应用效果良好。此外,描述这种频率一密度曲线的模型还有Gerrar的文一到一及Kono的P0=e－axb等[2,3]。这些模型在精度要求不是很高的场合,是很适用的。这里,作者举实例介绍这几种模型。1昆虫种群密度估计的几种模型1．1Wilson模型式…     

浅谈大脑记忆开发——以联想记忆法在理科学习中的应用为例

本论文主要立足于大脑记忆能力的开发,采用例证的方法阐述了大脑记忆能力开发的可能性与可行性,介绍了联想记忆法原理以及其在理科学习中的应用,希望通过易懂的语言让大家关注大脑记忆开发,学习一些记忆方法以提高记忆能力。     

Immune response inhibits associative learning in insects

In vertebrates, it is well established that there are many intricate interactions between the immune system and the nervous system, and vice versa. Regarding insects, until now little has been known about the link between these two systems. Here, we present behavioural evidence indicating a link between the immune system and the nervous system in insects. We show that otherwise non-infected honeybees whose immune systems are challenged by a non-pathogenic immunogenic elicitor lipopolysaccharide (LPS) have reduced abilities to associate an odour with sugar reward in a classical conditioning paradigm. The cost of an immune response therefore not only affects survival of the host, as previously shown, but also everyday behaviour and memory formation.     

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.     

Associative search network: A reinforcement learning associative memory

An associative memory system is presented which does not require a teacher to provide the desired associations. For each input key it conducts a search for the output pattern which optimizes an external payoff or reinforcement signal. The associative search network (ASN) combines pattern recognition and function optimization capabilities in a simple and effective way. We define the associative search problem, discuss conditions under which the associative search network is capable of solving it, and present results from computer simulations. The synthesis of sensory-motor control surfaces is discussed as an example of the associative search problem.     

Sequential learning of pheromonal cues modulates memory consolidation in trainer-specific associative courtship conditioning

BACKGROUND: Associative memory formation requires that animals choose predictors for experiences they need to remember. When an artificial odor is paired with an aversive experience, that odor becomes the predictor. In more natural settings, however, animals can have multiple salient experiences that need to be remembered and prioritized. The mechanisms by which animals deal with multiple experiences are incompletely understood. RESULTS: Here we show that Drosophila males can be trained to discriminate between different types of female pheromones; they suppress courtship specifically to the type of female that was associated with unsuccessful courtship. Such "trainer-specific" learning is mediated by hydrocarbon olfactory cues and modifies the male's processing of those cues. Animals that are unable to use olfactory cues can still learn by using other sensory modalities, but memory in this case is not specific to the trainer female's maturation state. Concurrent and serial presentation of different pheromones demonstrates that the ability to consolidate memory of pheromonal cues can be modified by the temporal order in which they appear. CONCLUSION: Suppression of memory by new learning demonstrates that the dynamics of memory consolidation are subject to plasticity in Drosophila. This type of metaplasticity is essential for navigation of experience-rich natural environments.     

A new neural network architecture with associative memory, pruning and order-sensitive learning

A new paradigm of neural network architecture is proposed that works as associative memory along with capabilities of pruning and order-sensitive learning. The network has a composite structure wherein each node of the network is a Hopfield network by itself. The Hopfield network employs an order-sensitive learning technique and converges to user-specified stable states without having any spurious states. This is based on geometrical structure of the network and of the energy function. The network is so designed that it allows pruning in binary order as it progressively carries out associative memory retrieval. The capacity of the network is 2n, where n is the number of basic nodes in the network. The capabilities of the network are demonstrated by experimenting on three different application areas, namely a Library Database, a Protein Structure Database and Natural Language Understanding.     

Implicit associative learning engages the hippocampus and interacts with explicit associative learning

The hippocampus is crucial for conscious, explicit memory, but whether it is also involved in nonconscious, implicit memory is uncertain. We investigated with functional magnetic resonance imaging whether implicit learning engages the hippocampus and interacts with subsequent explicit learning. The presentation of subliminal faces-written profession pairs for implicit learning was followed by the explicit learning of supraliminal pairs composed of the same faces combined with written professions semantically incongruous to those presented subliminally (experiment 1), semantically congruous professions (experiment 2), or identical professions (experiment 3). We found that implicit face-profession learning interacted with explicit face-profession learning in all experiments, impairing the explicit retrieval of the associations. Hippocampal activity increased during the subliminal presentation of face-profession pairs versus face-nonword pairs and correlated with the later impairment of explicit retrieval. These findings suggest that implicit semantic associative learning engages the hippocampus and influences explicit memory.     

A cognitive and associative memory

By introducing a physiological constraint in the auto-correlation matrix memory, the system is found to acquire an ability in cognition i.e. the ability to identify and input pattern by its proximity to any one of the stored memories. The physiological constraint here is that the attribute of a given synapse (i.e. excitatory or inhibitory) is uniquely determined by the neuron it belongs. Thus the synaptic coupling is generally not symmetric. Analytical and numerical analyses revealed that the present model retrieves a memory if an input pattern is close to the pattern of the stored memories; if not, it gives a clear response by going into a special mode where almost all neurons are in the same state in each time step. This uniform mode may be stationary or periodic, depending on whether or not the number of the excitatory neurons exceeds the number of inhibitory neurons.     

The regulatory effect of dipeptides on cell proliferation in mammalian nerve tissue culture and olfactory associative learning in insects

The study addresses the effects of dipeptides AspPro and AspSer and their constituent amino acids (aspartic acid—Asp, proline—Pro, and serine—Ser) on proliferative activity of rat brain cortical and subcortical tissue explants and functional activity of the honeybee central nervous system. The area index was calculated as a ratio of the total explant area to the area of its central zone. The number of bees which exhibited a conditioned response, namely proboscis extension towards the odorized solution, 1 min (short-term memory) and 180 min (long-term memory) after single trial learning was also measured. Both dipeptides, as well as aspartate itself, stimulated the expansion of the growth zone of rat subcortical tissue explants and increased the number of bees that retained in their short-term/long-term memory the acquired conditioned response, regardless of the effect of the second component of the dipeptide. The similarity of these effects suggests that common mechanisms of reception and signal transduction have evolved in insects and mammals, and this requires further study.