Convergence in Continuous Hopfield Neural Network with Delays

IIntroductionWeconsiderthenetworkbasedonHopfleldcircuitequationwiththeadditionofdelayswhereu;（t）IstheInPutvoltageofthel一thneuron,C;IscaPacitance,KIsthetotalresls－tanceattheInputofneuron。,人Isslgmoldaltransferfunction．Inthispaper,weconsiderthenormalizedsystemof（l）。fthetypeThereexistsanextensivekeratureonvariousaspectsofsystemsoftheform（2）withandwithouttimedelays,werefertoEI,2,3jandthereferencescitedtherein．ThepurposeofthispaperIstoderivesufficientconditionsfortheglobal…     

The Depolarizing Action of GABA Controls Early Network Activity in the Developing Hippocampus

Early in postnatal life γ-aminobutyric acid (GABA), the primary inhibitory transmitter in adults, excites targeted neurons by an outwardly directed flux of chloride which results from the unbalance between the cation–chloride cotransporters NKCC1 and KCC2, involved in chloride uptake and extrusion, respectively. This effect contributes to generate synchronized network activity or giant depolarizing potentials (GDPs) in the developing hippocampus. Here, we review some recent data concerning the mechanisms by which GDPs are generated and their functional role in enhancing synaptic efficacy at poorly developed GABAergic and glutamatergic synapses. In adulthood, reshaping neuronal circuits due to changes in chloride homeostasis and to the shift of GABA from hyperpolarizing to depolarizing, has been implicated in several neurological disorders, including epilepsy. Evidence has been recently provided that in chronically nerve growth factor-deprived mice expressing a progressive age-dependent neurodegenerative pathology resembling that observed in patients with Alzheimer’s disease, the reduced expression of mRNA encoding for the Kcc2 gene and the depolarizing action of GABA lead to the reorganization of the neuronal hippocampal network. This may represent a novel mechanism by which GABAergic signaling counterbalances the loss of synaptic activity in neurodegenerative diseases.     

Specific Composition and Distribution of Euphausiids in the Zone of the North Atlantic Subtropical Convergence

The euphausiid community was studied between the surface and upper bathypelagics northeast of the Azores Islands (46°–37° N, 14°–29° W) during the hydrological summer (August to September) of 1984 using a midwater trawl. In total, 11 species of euphausiids were identified. The two most common species, Meganyctiphanes norvegica and Thysanopoda acutifrons, were found in 43.8 and 40.8% of the samples, respectively. In terms of biomass, M. norvegica dominated the catches, its densities reaching up to 160 kg per trawling hour. The region is dominated by North Atlantic arctic–boreal and boreal species, followed by pan-oceanic meso- and bathypelagic, as well as tropical–subtropical and widespread tropical euphausiid species. The study area, which is situated in the zone of the Atlantic subtropical convergence, is subjected to seasonal migrations of the Subpolar Frontal system. Owing to this, a quasi-stationary ecotone is established, where arctic–boreal species are spatially replaced first by tropical–subtropical and then by widespread tropical elements. There are grounds to believe that the quasi-stationary ecotone lasts both for many years and from season to season. In the latter case, seasonal succession of species takes place, but the ecological structure of the ecotone remains almost constant.     

Dual Coding with STDP in a Spiking Recurrent Neural Network Model of the Hippocampus

The firing rate of single neurons in the mammalian hippocampus has been demonstrated to encode for a range of spatial and non-spatial stimuli. It has also been demonstrated that phase of firing, with respect to the theta oscillation that dominates the hippocampal EEG during stereotype learning behaviour, correlates with an animal''s spatial location. These findings have led to the hypothesis that the hippocampus operates using a dual (rate and temporal) coding system. To investigate the phenomenon of dual coding in the hippocampus, we examine a spiking recurrent network model with theta coded neural dynamics and an STDP rule that mediates rate-coded Hebbian learning when pre- and post-synaptic firing is stochastic. We demonstrate that this plasticity rule can generate both symmetric and asymmetric connections between neurons that fire at concurrent or successive theta phase, respectively, and subsequently produce both pattern completion and sequence prediction from partial cues. This unifies previously disparate auto- and hetero-associative network models of hippocampal function and provides them with a firmer basis in modern neurobiology. Furthermore, the encoding and reactivation of activity in mutually exciting Hebbian cell assemblies demonstrated here is believed to represent a fundamental mechanism of cognitive processing in the brain.     

Structural Remodeling of the Neuronal Network in the Dentate Gyrus of the Epileptically Transformed Murine Hippocampus

Immunohistochemical analysis of the hippocampus of a transgene mutant line of the mice (genetic model of temporal epilepsy) demonstrated a progressive increase in the level of brain-derived neurotrophic factor (BDNF) in granular cells of the dentate gyrus and their axons; this increase correlated with an enhancement of the level of epileptic activity. Epileptogenic reprojection of mossy fibers toward an internal zone of the molecular layer of the hippocampus was also observed. In addition, we observed excessive spreading of the zone of axon branching of GABA-ergic basket cells, as compared with the norm; their maximum collateralization was found within an internal zone of the molecular layer of the dentate gyrus. This allows us to hypothesize that the processes of sprouting of the mossy fibers and recovery of recurrent inhibition of the granular cells are interrelated.     

关于《一类具时滞的神经网络模型的收敛性》的注记

本文研究了一类具有时滞的神经网络模型     

成年海马中神经发生及影响因素

动物成年后在其中枢神经系统内仍有神经发生。成年神经发生的主要区域是海马齿状回的颗粒下层和脑室下区的侧脑室外侧壁。目前认为成年后的海马神经发生参与记忆的形成,尤其对癫痫和神经退行性疾病的缓解和治疗具有重要意义。成年海马的神经发生受多种生理、病理因素的调控。我们就近年来成年海马神经发生的影响因素及其可能机制进行综述。     

Ethanol Affects Network Activity in Cultured Rat Hippocampus: Mediation by Potassium Channels

The effects of ethanol on neuronal network activity were studied in dissociated cultures of rat hippocampus. Exposure to low (0.25–0.5%) ethanol concentrations caused an increase in synchronized network spikes, and a decrease in the duration of individual spikes. Ethanol also caused an increase in rate of miniature spontaneous excitatory postsynaptic currents. Higher concentrations of ethanol eliminated network spikes. These effects were reversible upon wash. The effects of the high, but not the low ethanol were blocked by the GABA antagonist bicuculline. The enhancing action of low ethanol was blocked by apamin, an SK potassium channel antagonist, and mimicked by 1-EBIO, an SK channel opener. It is proposed that in cultured hippocampal networks low concentration of ethanol is associated with SK channel activity, rather than the GABAergic receptor.     

Bilateral Song Convergence in a Passerine Hybrid Zone: Genetics Contribute in One Species Only

Hybridization can drive the convergence of territorial and sexual signals. However, non-genetic processes such as competition, environment matching, or cultural transmission, also generate this pattern. We investigated the effect of hybridization on song convergence between two interspecifically territorial warblers in a moving hybrid zone. We confirmed song convergence in each species. Using an AFLP-based genetic index, we detected an effect of genetics on song convergence in Hippolais polyglotta, the expanding species. Evidence was weaker for H. icterina, the receding species. In moving zones, introgression is expected to be larger in the expanding species than in the receding. Thus, the asymmetric contribution of the genetic index to convergence was consistent with expectations for genetically determined traits in moving hybrid zones, and the observed introgression pattern of AFLP markers. However, the geographical location of individuals had an effect on song variation too when genetics was accounted for, suggesting that convergence also has non-genetic explanations. We examine the possible role of alternative processes to that of hybridization and discuss their conflicting effects on reinforcement and hybrid zone dynamics.     

A Possible Interrelationship Between Extracellular Taurine and Phosphoethanolamine in the Hippocampus

The effect of guanidinoethane sulfonic acid (GES), an inhibitor of taurine uptake, was examined with respect to endogenous amino acids in the hippocampus of the freely moving rabbit. GES increased the extracellular levels of both taurine and phosphoethanolamine (PEA), other amino acids being unaffected. However, long-term oral administration of GES selectively reduced endogenous taurine levels. The effect of GES on PEA appeared to be a consequence of the elevated extracellular taurine as exogenously administered taurine per se increased PEA levels in the extracellular space. The findings are discussed in conjunction with the proposed membrane-stabilizing effects of taurine.     

A Critical Role for the Hippocampus in the Valuation of Imagined Outcomes

Many choice situations require imagining potential outcomes, a capacity that was shown to involve memory brain regions such as the hippocampus. We reasoned that the quality of hippocampus-mediated simulation might therefore condition the subjective value assigned to imagined outcomes. We developed a novel paradigm to assess the impact of hippocampus structure and function on the propensity to favor imagined outcomes in the context of intertemporal choices. The ecological condition opposed immediate options presented as pictures (hence directly observable) to delayed options presented as texts (hence requiring mental stimulation). To avoid confounding simulation process with delay discounting, we compared this ecological condition to control conditions using the same temporal labels while keeping constant the presentation mode. Behavioral data showed that participants who imagined future options with greater details rated them as more likeable. Functional MRI data confirmed that hippocampus activity could account for subjects assigning higher values to simulated options. Structural MRI data suggested that grey matter density was a significant predictor of hippocampus activation, and therefore of the propensity to favor simulated options. Conversely, patients with hippocampus atrophy due to Alzheimer''s disease, but not patients with Fronto-Temporal Dementia, were less inclined to favor options that required mental simulation. We conclude that hippocampus-mediated simulation plays a critical role in providing the motivation to pursue goals that are not present to our senses.     

Calpain-PKC Inter-Relations in Mouse Hippocampus: A Biochemical Approach

In previous studies, we isolated and identified a -calpain/PKC complex from rabbit skeletal muscle. Here, we have used specific purification procedures in order to study the interactions between -calpain and PKC in mouse hippocampus, a brain structure implicated in memory processes. We observed that -calpain and conventional PKCs (, II and ) are co-eluted after anion exchange chromatography. In contrast to our previous results obtained on skeletal muscle, -calpain and PKC isoenzymes were dissociated after gel filtration chromatography. Furthermore, -calpain induced the proteolytic conversion of PKC, II, and into PKM, II, and with a preferential hydrolysis of PKC, a specific isoenzyme of the nervous system. Although the -calpain/PKC interactions in the hippocampus are quite different from skeletal muscle, our results however, point out the functional importance of these inter-relations. Moreover, as PKC has been involved in the biochemical events underlying learning and memory, the preferential relationship between -calpain and PKC promotes the importance of the role that -calpain could play in the cellular mechanisms of memory formation.     

A Signature of Attractor Dynamics in the CA3 Region of the Hippocampus

The notion of attractor networks is the leading hypothesis for how associative memories are stored and recalled. A defining anatomical feature of such networks is excitatory recurrent connections. These “attract” the firing pattern of the network to a stored pattern, even when the external input is incomplete (pattern completion). The CA3 region of the hippocampus has been postulated to be such an attractor network; however, the experimental evidence has been ambiguous, leading to the suggestion that CA3 is not an attractor network. In order to resolve this controversy and to better understand how CA3 functions, we simulated CA3 and its input structures. In our simulation, we could reproduce critical experimental results and establish the criteria for identifying attractor properties. Notably, under conditions in which there is continuous input, the output should be “attracted” to a stored pattern. However, contrary to previous expectations, as a pattern is gradually “morphed” from one stored pattern to another, a sharp transition between output patterns is not expected. The observed firing patterns of CA3 meet these criteria and can be quantitatively accounted for by our model. Notably, as morphing proceeds, the activity pattern in the dentate gyrus changes; in contrast, the activity pattern in the downstream CA3 network is attracted to a stored pattern and thus undergoes little change. We furthermore show that other aspects of the observed firing patterns can be explained by learning that occurs during behavioral testing. The CA3 thus displays both the learning and recall signatures of an attractor network. These observations, taken together with existing anatomical and behavioral evidence, make the strong case that CA3 constructs associative memories based on attractor dynamics.     

Rosenhlattichthys nemotoi,a new species of scopelarchidae,from the south Indian Ocean Subtropical Convergence Zone

Rosenblattichthys nemotoi is described from a single larval specimen, 37 mm SL (standard length) taken from the southern Indian Ocean Subtropical Convergence Zone. This species differs from all otherRosenblattichthys in meristic characters (25 anal-fin rays, 26 or 27 pectoral-fin rays), configuration of accessory pigment areas (two areas present; a dorsal area (DA) and a midlateral peduncular area (PDA), and nonprecocity of pectoral-fin development. All other records ofRosenblattichthys are from tropical or subtropical waters.     

Theta Coordinated Error-Driven Learning in the Hippocampus

The learning mechanism in the hippocampus has almost universally been assumed to be Hebbian in nature, where individual neurons in an engram join together with synaptic weight increases to support facilitated recall of memories later. However, it is also widely known that Hebbian learning mechanisms impose significant capacity constraints, and are generally less computationally powerful than learning mechanisms that take advantage of error signals. We show that the differential phase relationships of hippocampal subfields within the overall theta rhythm enable a powerful form of error-driven learning, which results in significantly greater capacity, as shown in computer simulations. In one phase of the theta cycle, the bidirectional connectivity between CA1 and entorhinal cortex can be trained in an error-driven fashion to learn to effectively encode the cortical inputs in a compact and sparse form over CA1. In a subsequent portion of the theta cycle, the system attempts to recall an existing memory, via the pathway from entorhinal cortex to CA3 and CA1. Finally the full theta cycle completes when a strong target encoding representation of the current input is imposed onto the CA1 via direct projections from entorhinal cortex. The difference between this target encoding and the attempted recall of the same representation on CA1 constitutes an error signal that can drive the learning of CA3 to CA1 synapses. This CA3 to CA1 pathway is critical for enabling full reinstatement of recalled hippocampal memories out in cortex. Taken together, these new learning dynamics enable a much more robust, high-capacity model of hippocampal learning than was available previously under the classical Hebbian model.