Physiological properties and response modulations of mushroom body feedback neurons during olfactory learning in the honeybee, Apis mellifera

Mushroom bodies are central brain structures and essentially involved in insect olfactory learning. Within the mushroom bodies γ-aminobutyric acid (GABA)-immunoreactive feedback neurons are the most prominent neuron group. The plasticity of inhibitory neural activity within the mushroom body was investigated by analyzing modulations of odor responses of feedback neurons during olfactory learning in vivo. In the honeybee, Apis mellifera, feedback neurons were intracellularly recorded at their neurites. They produced complex patterns of action potentials without experimental stimulation. Summating postsynaptic potentials indicate that their synaptic input region lies within the lobes. Odor and antennal sucrose stimuli evoked excitatory phasic-tonic responses. Individual neurons responded to various odors; responses of different neurons to the same odor were highly variable. Response modulations were determined by comparing odor responses of feedback neurons before and after one-trial olfactory conditioning or sensitisation. Shortly after pairing an odor stimulus with a sucrose reward, odor-induced spike activity of feedback neurons decreased. Repeated odor stimulations alone, equally spaced as in the conditioning experiment, did not affect the odor-induced excitation. A single sensitisation trial also did not alter odor responses. These findings indicate that the level of odor-induced inhibition within the mushroom bodies is specifically modulated by experience. Accepted: 9 September 1999     

Diazepam binding inhibitor governs neurogenesis of excitatory and inhibitory neurons during embryonic development via GABA signaling

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A pair of inhibitory neurons are required to sustain labile memory in the Drosophila mushroom body

Labile memory is thought to be held in the brain as persistent neural network activity. However, it is not known how biologically relevant memory circuits are organized and operate. Labile and persistent appetitive memory in Drosophila requires output after training from the α'β' subset of mushroom body (MB) neurons and from a pair of modulatory dorsal paired medial (DPM) neurons. DPM neurons innervate the entire MB lobe region and appear to be pre- and postsynaptic to the MB, consistent with a recurrent network model. Here we identify a role after training for synaptic output from the GABAergic anterior paired lateral (APL) neurons. Blocking synaptic output from APL neurons after training disrupts labile memory but does not affect long-term memory. APL neurons contact DPM neurons most densely in the α'β' lobes, although their processes are intertwined and contact throughout all of the lobes. Furthermore, APL contacts MB neurons in the α' lobe but makes little direct contact with those in the distal α lobe. We propose that APL neurons provide widespread inhibition to stabilize and maintain synaptic specificity of a labile memory trace in a recurrent DPM and MB α'β' neuron circuit.     

Dynamics of networks of randomly connected excitatory and inhibitory spiking neurons

Recent advances in the understanding of the dynamics of populations of spiking neurones are reviewed. These studies shed light on how a population of neurones can follow arbitrary variations in input stimuli, how the dynamics of the population depends on the type of noise, and how recurrent connections influence the dynamics. The importance of inhibitory feedback for the generation of irregularity in single cell behaviour is emphasized. Examples of computation that recurrent networks with excitatory and inhibitory cells can perform are then discussed. Maintenance of a network state as an attractor of the system is discussed as a model for working memory function, in both object and spatial modalities. These models can be used to interpret and make predictions about electrophysiological data in the awake monkey.     

Emergence of oscillations and spatio-temporal coherence states in a continuum-model of excitatory and inhibitory neurons

A neural field model of the reaction-diffusion type for the emergence of oscillatory phenomena in visual cortices is proposed. To investigate the joint spatio-temporal oscillatory dynamics in a continuous distribution of excitatory and inhibitory neurons, the coupling among oscillators is modelled as a diffusion process, combined with non-linear point interactions. The model exhibits cooperative activation properties in both time and space, by reacting to volleys of activations at multiple cortical sites with ordered spatio-temporal oscillatory states, similar to those found in the physiological experiments on slow-wave field potentials. The possible use of the resulting spatial distributions of coherent states, as a flexible medium to establish feature association, is discussed.     

Traffic of botulinum toxins A and E in excitatory and inhibitory neurons

Botulinum neurotoxins (BoNTs), proteases specific for the SNARE proteins, are used to study the molecular machinery supporting exocytosis and are used to treat human diseases characterized by cholinergic hyperactivity. The recent extension of the use of BoNTs to central nervous system (CNS) pathologies prompted the study of their traffic in central neurons. We used fluorescent BoNT/A and BoNT/E to study the penetration, the translocation and the catalytic action of these toxins in excitatory and inhibitory neurons. We show that BoNT/A and BoNT/E, besides preferentially inhibiting synaptic vesicle recycling at glutamatergic relative to Gamma-aminobutyric acid (GABA)-ergic neurons, are more efficient in impairing the release of excitatory than inhibitory neurotransmitter from brain synaptosomes. This differential effect does not result from a defective penetration of the toxin in line with the presence of the BoNT/A receptor, synaptic vesicle protein 2 (SV2), in both types of neurons. Interestingly, exogenous expression of SNAP-25 in GABAergic neurons confers sensitivity to BoNT/A. These results indicate that the expression of the toxin substrate, and not the toxin penetration, most likely accounts for the distinct effects of the two neurotoxins at the two types of terminals and support the use of BoNTs for the therapy of CNS diseases caused by the altered activity of selected neuronal populations.     

Visual and olfactory input segregation in the mushroom body calyces in a basal neopteran, the American cockroach

The cockroach Periplaneta americana is an evolutionary basal neopteran insect, equipped with one of the largest and most elaborate mushroom bodies among insects. Using intracellular recording and staining in the protocerebrum, we discovered two new types of neurons that receive direct input from the optic lobe in addition to the neuron previously reported. These neurons have dendritic processes in the optic lobe, projection sites in the optic tracts, and send axonal terminals almost exclusively to the innermost layer of the MB calyces (input site of MB). Their responses were excitatory to visual but inhibitory to olfactory stimuli, and weak excitation occurred in response to mechanosensory stimuli to cerci. In contrast, interneurons with dendrites mainly in the antennal lobe projection sites send axon terminals to the middle to outer layers of the calyces. These were excited by various olfactory stimuli and mechanosensory stimuli to the antenna. These results suggest that there is general modality-specific terminal segregation in the MB calyces and that this is an early event in insect evolution. Possible postsynaptic and presynaptic elements of these neurons are discussed.     

Responses of olfactory receptor neurons in the spiny lobster to binary mixtures are predictable using a noncompetitive model that incorporates excitatory and inhibitory transduction pathways

Coding of binary mixtures by a population of olfactory receptor neurons in the spiny lobster (Panulirus argus) was examined. Extracellular single-unit responses of 50 neurons to seven compounds and their binary mixtures were recorded. The ability of a noncompetitive model with correction for binding inhibition to predict responses to mixtures based on responses to their components was compared with the predictive abilities of other models. This model assumes that different compounds activate different transduction processes in the same neuron leading to excitation or inhibition, and it includes a term quantifying the degree to which binding of an odorant to its receptor sites is inhibited by other compounds. The model accurately predicted the absolute response magnitude of the population of neurons for 13 of 15 mixtures assessed, which is superior to the predictive power of any of the other models. The model also accurately predicted the across neuron patterns generated by the binary mixtures, as evaluated by multidimensional scaling analysis. The results suggest that there is no emergence of unique qualities for binary mixtures relative to components of these mixtures.Abbreviations AMP or A adenosine-5-monophosphate - ANP across neuron pattern - ARM absolute response magnitude - ASW artificial sea water - Bet or B betaine - Cys or C L-cysteine - Glu or G L-glutamate - MDS multidimensional scaling - MID mixture interaction distance - NC model noncompetitive model - NCBI model noncompetitive model with correction for binding inhibition - C model competitive model - CBI model competitive model with correction for binding inhibition - MEC more effective component - NH ₄ or N ammonium chloride - ORN olfactory receptor neuron - Suc or S DL-succinate - Tau or T taurine     

Dynamic interplay of excitatory and inhibitory coupling modes of neuronal L-type calcium channels

L-type voltage-gated calcium channels (LTCCs) have long been considered as crucial regulators of neuronal excitability. This role is thought to rely largely on coupling of LTCC-mediated Ca(2+) influx to Ca(2+)-dependent conductances, namely Ca(2+)-dependent K(+) (K(Ca)) channels and nonspecific cation (CAN) channels, which mediate afterhyperpolarizations (AHPs) and afterdepolarizations (ADPs), respectively. However, in which manner LTCCs, K(Ca) channels, and CAN channels co-operate remained scarcely known. In this study, we examined how activation of LTCCs affects neuronal depolarizations and analyzed the contribution of Ca(2+)-dependent potassium- and cation-conductances. With the use of hippocampal neurons in primary culture, pulsed current-injections were applied in the presence of tetrodotoxin (TTX) for stepwise depolarization and the availability of LTCCs was modulated by BAY K 8644 and isradipine. By varying pulse length and current strength, we found that weak depolarizing stimuli tend to be enhanced by LTCC activation, whereas in the course of stronger depolarizations LTCCs counteract excitation. Both effect modes appear to involve the same channels that mediate ADP and AHP, respectively. Indeed, ADPs were activated at lower stimulation levels than AHPs. In the absence of TTX, activation of LTCCs prolonged or shortened burst firing, depending on the initial burst duration, and invariably augmented brief unprovoked (such as excitatory postsynaptic potentials) and provoked electrical events. Hence, regulation of membrane excitability by LTCCs involves synchronous activity of both excitatory and inhibitory Ca(2+)-activated ion channels. The overall enhancing or dampening effect of LTCC stimulation on excitability does not only depend on the relative abundance of the respective coupling partner but also on the stimulus intensity.     

A compartmental approach in modeling a neuronal network. Role of inhibitory and excitatory processes]

The conception and main principles of the compartmental approach to the modeling of neuronal networks are presented. Excitatory and inhibitory ties are described, and reducible and nonreducible neuronal networks are considered. The periodical solution in models of neuronal networks is the model of normal rhythmic (e.g., respiratory) activity. The role of external (chemoreceptor drives) is discussed. The biological interpretation of the results of modeling is given. The observed biological phenomena are considered.     

Interrelated modification of excitatory and inhibitory synaptic connections in the olivary-cerebellar neuronal network

The model of simultaneous interrelated modification in the efficacy of synaptic inputs to different neurons of the olivary-cerebellar network is developed. The model is based on the following features of the network: simultaneous activation of the input layer (granule) cells and the output layer (deep cerebellar nuclei) cells by mossy fibers; simultaneous activation of Purkinje cells and cerebellar cells of the input and output layers by climbing fibers and their collaterals; the existence of local feedback excitatory, inhibitory, and disinhibitory circuits. The rise (decrease) of posttetanic Ca2+ concentration in reference to the level produced by previous stimulation causes the decrease (increase) in cGMP-dependent protein kinase G activity, and increase (decrease) inprotein phosphatase 1 activity. Subsequent dephosphorylation (phosphorylation) of ionotropic receptors results in simultaneous LTD (LTP) of the excitatory input together with the LTP (LTD) of the inhibitory input to the same neuron. The character of interrelated modifications of synapses at different cerebellar levels strongly depends on the olivary cell activity. In the presence (absence) of the signal from the inferior olive LTD (LTP) of the output cerebellar signal can be induced.     

Interconnected biochemical processes in striatal neurons induced by activation of excitatory, inhibitory, and dopamine inputs

Postsynaptic processes induced by glutamate, GABA, and dopamine in dendritic spines of inhibitory striatal neurones, were studied. Some functional features were revealed in striatal neurones activation of two protein kinases, cAMP-dependent PKA and cGMP-dependent PKG; presence of calcium/calmodulin-independent adenylate cyclase; bidirectional changes of the cAMP concentration with dopamine. Rise of the cGMP concentration in striatum seems to be a result of activation of the membrane-bound guanylate cyclase via the GABAb receptors. The findings suggest that the active protein kinases/phosphatases ratio is affected by calcium influx through the NMDA-channels.     

Stochastic automaton models for interaction of excitatory and inhibitory impulse sequences in neurons

The mechanisms by which excitatory and inhibitory input impulse sequences interact in changing the spike probability in neurons are examined in the two mathematical neuron models; one is a real-time neuron model which is close to physiological reality, and the other a stochastic automaton model for the temporal pattern discrimination proposed in the previous paper (Tsukada et al., 1976), which is developed in this paper as neuron models for interaction of excitatory and inhibitory input impulse sequences. The interval distributions of the output spike train from these models tend to be multimodal and are compared with those used for experimental data, reported by Bishop et al. (1964) for geniculate neuron activity and Poisson process deleting model analyzed by Ten Hoopen et al. (1966). Special attention, moreover, should be paid to how different forms of inhibitory input are transformed into the output interval distributions through these neuron models. These results exhibit a clear correlation between inhibitory input form and output interval distribution. More detailed information on this mechanism is obtained from the computations of recurrence-time under the stationary condition to go from active state to itself for the first time, each of which is influenced by the inhibitory input forms. In addition to these facts, some resultant characteristics on interval histogram and serial correlation are discussed in relation to physiological data from the literature.     

Mechanisms of modification of excitatory and inhibitory inputs in various neurons of olivary-cerebellar network

It is known from the experimental data that at different cerebellar neurons there are voltage-dependent Ca2+ channels, NMDA receptors, metabotropic glutamate and GABAB receptors. This receptor arrangement ensures that activation of excitatory and inhibitory input results in changes in activity of protein kinases and phosphatases and subsequent modification of synaptic efficacy. The mechanism of synaptic plasticity is advanced that in accordance with the known experimental data concerning the modification of excitatory and inhibitory inputs to Purkinje cells, granule cells, and deep cerebellar nuclei cells. The mechanism is based on a postulate that phosphorylation/dephosphorylation of AMPA (GABAA) receptors on cerebellar cells causes the LTP/LTD of excitatory (LTD/LTP of inhibitory) transmission. It is assumed that modification rules for Purkinje cells, granule cells, and deep cerebellar nuclei cells, wherein cGMP-dependent protein kinase G is involved in synaptic plasticity, are distinct from those of hippocampal/neocortical cells, wherein cAMP-dependent protein kinase A is involved in synaptic plasticity, since cGMP (cAMP) concentration decreases (increases) with Ca2+ rise.