Short term synaptic depression imposes a frequency dependent filter on synaptic information transfer

Depletion of synaptic neurotransmitter vesicles induces a form of short term depression in synapses throughout the nervous system. This plasticity affects how synapses filter presynaptic spike trains. The filtering properties of short term depression are often studied using a deterministic synapse model that predicts the mean synaptic response to a presynaptic spike train, but ignores variability introduced by the probabilistic nature of vesicle release and stochasticity in synaptic recovery time. We show that this additional variability has important consequences for the synaptic filtering of presynaptic information. In particular, a synapse model with stochastic vesicle dynamics suppresses information encoded at lower frequencies more than information encoded at higher frequencies, while a model that ignores this stochasticity transfers information encoded at any frequency equally well. This distinction between the two models persists even when large numbers of synaptic contacts are considered. Our study provides strong evidence that the stochastic nature neurotransmitter vesicle dynamics must be considered when analyzing the information flow across a synapse.     

Recurrent networks with short term synaptic depression

Cortical circuitry shows an abundance of recurrent connections. A widely used model that relies on recurrence is the ring attractor network, which has been used to describe phenomena as diverse as working memory, visual processing and head direction cells. Commonly, the synapses in these models are static. Here, we examine the behaviour of ring attractor networks when the recurrent connections are subject to short term synaptic depression, as observed in many brain regions. We find that in the presence of a uniform background current, the network activity can be in either of three states: a stationary attractor state, a uniform state, or a rotating attractor state. The rotation speed can be adjusted over a large range by changing the background current, opening the possibility to use the network as a variable frequency oscillator or pattern generator. Finally, using simulations we extend the network to two-dimensional fields and find a rich range of possible behaviours.     

The impact of short term synaptic depression and stochastic vesicle dynamics on neuronal variability

Neuronal variability plays a central role in neural coding and impacts the dynamics of neuronal networks. Unreliability of synaptic transmission is a major source of neural variability: synaptic neurotransmitter vesicles are released probabilistically in response to presynaptic action potentials and are recovered stochastically in time. The dynamics of this process of vesicle release and recovery interacts with variability in the arrival times of presynaptic spikes to shape the variability of the postsynaptic response. We use continuous time Markov chain methods to analyze a model of short term synaptic depression with stochastic vesicle dynamics coupled with three different models of presynaptic spiking: one model in which the timing of presynaptic action potentials are modeled as a Poisson process, one in which action potentials occur more regularly than a Poisson process (sub-Poisson) and one in which action potentials occur more irregularly (super-Poisson). We use this analysis to investigate how variability in a presynaptic spike train is transformed by short term depression and stochastic vesicle dynamics to determine the variability of the postsynaptic response. We find that sub-Poisson presynaptic spiking increases the average rate at which vesicles are released, that the number of vesicles released over a time window is more variable for smaller time windows than larger time windows and that fast presynaptic spiking gives rise to Poisson-like variability of the postsynaptic response even when presynaptic spike times are non-Poisson. Our results complement and extend previously reported theoretical results and provide possible explanations for some trends observed in recorded data.     

Properties of a model of Ca(++)-dependent vesicle pool dynamics and short term synaptic depression

We explore the properties of models of synaptic vesicle dynamics, in which synaptic depression is attributed to depletion of a pool of release-ready vesicles. Two alternative formulations of the model allow for either recruitment of vesicles from an unlimited reserve pool (vesicle state model) or for recovery of a fixed number of release sites to a release-ready state (release-site model). It is assumed that, following transmitter release, the recovery of the release-ready pool of vesicles is regulated by the intracellular free Ca(++) concentration, [Ca(++)](i). Considering the kinetics of [Ca(++)](i) after single presynaptic action potentials, we show that pool recovery can be described by two distinct kinetic components. With such a model, complex kinetic and steady-state properties of synaptic depression as found in several types of synapses can be accurately described. However, the specific assumption that enhanced recovery is proportional to [Ca(++)](i), as measured with Ca(++) indicator dyes, is not confirmed by experiments at the calyx of Held, in which [Ca(++)](i)-homeostasis was altered by adding low concentrations of the exogenous Ca(++) buffer, fura-2, to the presynaptic terminal. We conclude that synaptic depression at the calyx of Held is governed by localized, near membrane [Ca(++)](i) signals not visible to the indicator dye, or else by an altogether different mechanism. We demonstrate that, in models in which a Ca(++)-dependent process is linearly related to [Ca(++)](i), the addition of buffers has only transient but not steady-state consequences.     

Role for A kinase-anchoring proteins (AKAPS) in glutamate receptor trafficking and long term synaptic depression

Expression of N-methyl d-aspartate (NMDA) receptor-dependent homosynaptic long term depression at synapses in the hippocampus and neocortex requires the persistent dephosphorylation of postsynaptic protein kinase A substrates. An attractive mechanism for expression of long term depression is the loss of surface AMPA (alpha-amino-3-hydroxy-5-methylisoxazale-4-propionate) receptors at synapses. Here we show that a threshold level of NMDA receptor activation must be exceeded to trigger a stable loss of AMPA receptors from the surface of cultured hippocampal neurons. NMDA also causes displacement of protein kinase A from the synapse, and inhibiting protein kinase A (PKA) activity mimics the NMDA-induced loss of surface AMPA receptors. PKA is targeted to the synapse by an interaction with the A kinase-anchoring protein, AKAP79/150. Disruption of the PKA-AKAP interaction is sufficient to cause a long-lasting reduction in synaptic AMPA receptors in cultured neurons. In addition, we demonstrate in hippocampal slices that displacement of PKA from AKADs occludes synaptically induced long term depression. These data indicate that synaptic anchoring of PKA through association with AKAPs plays an important role in the regulation of AMPA receptor surface expression and synaptic plasticity.     

Mean-field analysis of selective persistent activity in presence of short-term synaptic depression

Mean-Field theory is extended to recurrent networks of spiking neurons endowed with short-term depression (STD) of synaptic transmission. The extension involves the use of the distribution of interspike intervals of an integrate-and-fire neuron receiving a Gaussian current, with a given mean and variance, in input. This, in turn, is used to obtain an accurate estimate of the resulting postsynaptic current in presence of STD. The stationary states of the network are obtained requiring self-consistency for the currents—those driving the emission processes and those generated by the emitted spikes. The model network stores in the distribution of two-state efficacies of excitatory-to-excitatory synapses, a randomly composed set of external stimuli. The resulting synaptic structure allows the network to exhibit selective persistent activity for each stimulus in the set. Theory predicts the onset of selective persistent, or working memory (WM) activity upon varying the constitutive parameters (e.g. potentiated/depressed long-term efficacy ratio, parameters associated with STD), and provides the average emission rates in the various steady states. Theoretical estimates are in remarkably good agreement with data “recorded” in computer simulations of the microscopic model. Action Editor: Karen Sigvardt     

Short term experiments on calanoid-cyclopoid-phytoplankton interactions

To investigate their potential effects on each other in nature, calanoid (Diaptomus clavipes and D. siciloides) and cyclopoid (Acanthocyclops vernalis and Mesocyclops edax) copepod populations were manipulated in 5 liter aquaria in laboratory experiments of 20–60 days duration. Diaptomus generally had a strongly negative effect on both cyclopoid species. The cyclopoids established populations more successfully when introduced to aquaria before calanoids than they did when calanoids were already present. On the other hand, whether introduced earlier or later than the cyclopoids, Diaptomus populations were unaffected by Acanthocyclops and were strongly depressed by Mesocyclops. Diaptomus effects on the phytoplankton were often strong but varied markedly among experiments. They included reduction of populations of edible algae, such as Chlamydomonas, which are essential for both calanoid and cyclopoid nauplii, and large increases in inedible algae, such as Kirchneriella. Feeding experiments revealed that under conditions of food scarcity Acanthocyclops nauplii survived less well than did Diaptomus nauplii. Competition for edible phytoplankton seemed to be a key factor in the calanoid-cyclopoid interactions, since the survival of herbivorous cyclopoid larvae determined the abundance of the predaceous adults. This indicates that the competitive effects of calanoids on cyclopoids often may exceed the predative effects of cyclopoids on calanoids.     

Ultraweak signals can cause synaptic depression and adaptation

Synaptic depression at conventional synapses is usually caused by strong or prolonged stimuli, like tetanic bursts of afferent fiber discharge at high frequencies. In this issue of Neuron, Dunn and Rieke report that, in the retina, even the weakest stimuli, single photons, can lead to synaptic depression at ribbon-type synapses and adaptation of neuronal output to ambient light levels.     

Short term metabolism of urea and purine cytokinins

Approximately 20 to 25% of the cytokinin benzyladenine (BA) taken up by soybean tissues in culture is converted to a stable, long-lived derivative which contains BA as part of its structure. This derivative may be metabolically related to 6-benzylamino-9-β-d-ribofuranosylpurine 5′-monophosphate (BAMP). In in vivo incubations of 2 hours or less, we recover only BA, benzyladenosine, and BAMP. Benzyladenosine never accounts for more than 10% of the total radioactivity while BAMP builds up to about 20% of the total within 2 to 4 hours. After this period it begins to disappear, and a new, unidentified substance arises at a rate which roughly parallels the loss of BAMP. After about 48 hours this substance, which has good cytokinin activity, accounts for some 20 to 25% of the total radioactivity and persists at this level for at least 60 days. In the meantime the remainder of the BA, as well as benzyladenosine and BAMP, disappear completely. In addition, evidence is presented which suggests that the urea cytokinins are not active as such but first are metabolically transformed into other substances.     

Short term culture of human midterm and term placenta: parameters of hormonogenesis

Monolayer cultures of human midterm and term placentae have been established following trypsin dispersion of placental minces. Maintenance of endocrine function was monitored by the concentrations of specific hormones in the culture media. At either gestational age the cultures 1) secret estradiol-17beta(1) and estrone (in a ratio of about 1:20) and aromatize 3H- or 14C-dehydroepiandrosterone sulfate and 14C-androstenedione, estrogen production being markedly enhanced by addition of dehydroepiandrosterone (10(-6)7) to the culture medium; 2) metabolize 3H-pregnenolone to progesterone and 14C-cortisol to cortisone; and 3) produce increasing amounts of chorionic gonadotropin and decreasing amounts of placental lactogen during the first week in culture. It is proposed that the model is highly suited to the study of factors affecting hormonogenesis by the human placenta whether they be of maternal or of fetal origin.     

Long-term depression of kainate receptor-mediated synaptic transmission

Kainate receptors (KARs) have been shown to be involved in hippocampal mossy fiber long-term potentiation (LTP); however, it is not known if KARs are involved in the induction or expression of long-term depression (LTD), the other major form of long-term synaptic plasticity. Here we describe LTD of KAR-mediated synaptic transmission (EPSC(KA) LTD) in perirhinal cortex layer II/III neurons that is distinct from LTD of AMPAR-mediated transmission, which also coexists at the same synapses. Induction of EPSC(KA) LTD requires a rise in postsynaptic Ca(2+) but is independent of NMDARs or T-type voltage-gated Ca(2+) channels; however, it requires synaptic activation of inwardly rectifying KARs and release of Ca(2+) from stores. The synaptic KARs are regulated by tonically activated mGluR5, and expression of EPSC(KA) LTD occurs via a mechanism involving mGluR5, PKC, and PICK1 PDZ domain interactions. Thus, we describe the induction and expression mechanism of a form of synaptic plasticity, EPSC(KA) LTD.     

Simulation and parameter estimation of dynamics of synaptic depression

Synaptic release was simulated using a Simulink sequential storage model with three vesicular pools. Modeling was modular and easily extendable to the systems with greater number of vesicular pools, parallel input, or time-varying parameters. Given an input (short or long tetanic trains, patterned or random stimulation) and the storage model, the vesicular release, the replenishment of various vesicular pools, and the vesicular content of all pools could be simulated for the time-invariant and time-varying storage systems. From the input stimuli and either a noiseless or a noisy output, the parameters of such storage systems could also be estimated using the optimization technique that minimizes in the least square sense the error between the observed release and the predicted release. All parameters of the storage model could be evaluated with sufficiently long input–output data pairs. Not surprisingly, the parameters characterizing the processes near the release locus, such as the fractional release and the size of the immediately available pool and its coupling to the small store, as well as the state variables associated with the immediately available pool, such as its vesicular content and replenishment, could be determined with fewer stimuli. The possibility of estimating parameters with random inputs extends the applicability of the method to in vivo synapses with the physiological inputs. The parameter estimation was also possible under the time-variant, but slowly changing, conditions as well as for open systems that are part of larger vesicular storage systems but whose parameters can either not be reliably determined or are of no interest. The quality of parameter estimation was monitored continuously by comparing the observed and predicted output and/or estimated parameters with the true values. Finally, the method was tested experimentally using the rat phrenic-diaphragm neuromuscular junction.     

Activity-dependent synaptic Wnt release regulates hippocampal long term potentiation

Wnts are important for various developmental and oncogenic processes. Here we show that Wnt signaling functions at synapses in hippocampal neurons. Tetanic stimulations induce N-methyl-d-aspartate receptor-dependent synaptic Wnt3a release, nuclear beta-catenin accumulations, and the activation of Wnt target genes. Suppression of Wnt signaling impairs long term potentiation. Conversely, activation of Wnt signaling facilitates long term potentiation. These findings suggest that Wnt signaling plays a critical role in regulating synaptic plasticity.     

AMPAR removal underlies Abeta-induced synaptic depression and dendritic spine loss

Beta amyloid (Abeta), a peptide generated from the amyloid precursor protein (APP) by neurons, is widely believed to underlie the pathophysiology of Alzheimer's disease. Recent studies indicate that this peptide can drive loss of surface AMPA and NMDA type glutamate receptors. We now show that Abeta employs signaling pathways of long-term depression (LTD) to drive endocytosis of synaptic AMPA receptors. Synaptic removal of AMPA receptors is necessary and sufficient to produce loss of dendritic spines and synaptic NMDA responses. Our studies indicate the central role played by AMPA receptor trafficking in Abeta-induced modification of synaptic structure and function.     

Short term temperature drops do not enhance cold tolerance

To successfully transplant agricultural species in the spring, prior hardening is of great significance. Low, non-freezing temperature increases cold tolerance in many species. Also, diurnal temperature drops have been suggested to improve cold tolerance, as assessed by ultrastructural studies after short term freezing of leaf discs. Pre-treatment with lower day than night temperature prior to hardening has also been reported to enhance cold resistance in winter rape. This study investigated the effect of temperature drops on cold resistance of different species. In contrast to a period of continuous low temperature, short diurnal temperature drops did not enhance cold tolerance in Arabidopsis, swede, white cabbage or pea, compared to control plants. Exposure to low temperature of 6°C for 6 days increased cold tolerance by 2–5°C compared to plants exposed to diurnal temperature drops or control plants. Pre-treatment with diurnal temperature drops in the entire growth period prior to hardening with constant low temperature did not give any additional hardening in swede and pea. In conclusion, by freeze testing of whole plants under controlled conditions we have found no evidence supporting the hypothesis that diurnal temperature drops improve cold tolerance. However, temperature drops reduce plants size like shown earlier for a number of other species, and thus is a tool to produce compact, robust plants.     

Spontaneous spiking and synaptic depression underlie noradrenergic control of feed-forward inhibition

Inhibitory interneurons across diverse brain regions commonly exhibit spontaneous spiking activity, even in the absence of external stimuli. It is not well understood how stimulus-evoked inhibition can be distinguished from background inhibition arising from spontaneous firing. We found that noradrenaline simultaneously reduced spontaneous inhibitory inputs and enhanced evoked inhibitory currents recorded from principal neurons of the mouse dorsal cochlear nucleus (DCN). Together, these effects produced a large increase in signal-to-noise ratio for stimulus-evoked inhibition. Surprisingly, the opposing effects on background and evoked currents could both be attributed to noradrenergic silencing of spontaneous spiking in glycinergic interneurons. During spontaneous firing, glycine release was decreased due to strong short-term depression. Elimination of background spiking relieved inhibitory synapses from depression and thereby enhanced stimulus-evoked inhibition. Our findings illustrate a simple yet powerful neuromodulatory mechanism to shift the balance between background and stimulus-evoked signals.