Synaptic properties of layer VI inverted pyramidal cells in the rodent somatosensory cortex

The properties of specific cortical cell types enable greater understanding of how cortical microcircuits process and transmit sensory, motor, and cognitive information. Previous reports have characterized the intrinsic properties of the inverted pyramidal cell (IPC) where the most prominent dendrite is orientated towards the cortical white matter. Using whole cell patch clamp recordings from rat and mouse somatosensory cortex in conjunction with electric microstimulation of the white matter we characterized the synaptic inputs onto IPCs and the more common upright pyramidal cell (UPC) in the infragranular layers. Both classes of pyramidal cells received monosynaptic glutamatergic input following white matter stimulation, but varied on a number of parameters. Most prominently, UPCs displayed higher amplitude responses and showed greater rates of depression compared to IPCs. These data reinforce the view that IPCs are a separate functional class of cortical neuron.     

Stabilization of motor asymmetry in the goldfish under the influence of optokinetic stimulation

Adaptation as a memory model appears, at the cellular level, as an increase in the resistivity of neurons to fatigue under the influence of repetitive natural training stimulation. Selective induction of adaptational changes in separate compartments of one and the same neuron can also serve as an important instrument for identification of the roles of these compartments in the integrative function of the individual neuron. Mauthner neurons (MNs) of fishes (the goldfish in particular) possess a clearly differentiated soma and two dendrites, lateral and ventral ones. The soma and lateral dendrite of each MN receive afferentation from the ipsilateral vestibular apparatus; at present, the functional and morphological aspects of selective adaptational modifications induced in these compartments by adequate vestibular stimulation have been examined in detail. As to the ventral MN dendrite receiving visual afferentation from the contralateral eye via the ipsilateral tectum, it remained impossible until now to realize the respective approach. We found that training sessions of visual optokinetic stimulation performed in certain modes provide selective activation of one MN through its ventral dendrite and increase the resistivity of this cell to fatiguing stimulation. Therefore, we first demonstrated the possibility of adaptational changes in an individual ventral dendrite of the MN. If fishes were preliminarily adapted with respect to vestibular stimulation, and the resistivity of the soma and lateral dendrite was selectively increased, the resistivity to fatiguing visual test stimulation also increased. On the other hand, if fishes were preliminarily adapted with respect to visual stimulation, the resistivity to fatiguing vestibular stimulation also increased. The observed increase in the resistivity of MNs of fishes adapted due to sensory stimulation of one afferent input with respect to sensory stimulation of other sensory input, as well as an increase in the resistivity to sensory stimulation of one modality, probably show that the mechanism of increase in the resistivity is the same in both cases. Neirofiziologiya/Neurophysiology, Vol. 40, No. 3, pp. 211–220, May–June, 2008.     

Early axonal contacts during development of an identified dendrite in the brain of the zebrafish

We have identified the initial synaptic contacts made onto the Mauthner (M) cell, an identified neuron that arises during early development of the zebrafish hindbrain. The contacts are made by a small bundle of pioneering trigeminal sensory axons onto the M cell soma before it forms dendrites. The sensory bundle is then partially enveloped by the M cell. The lateral dendrite appears at about the site of the contact, and eventually the trigeminal inputs are shifted to its trunk. As the dendrite elongates, other sensory contacts are made on its distal regions, sequentially from the acoustico-vestibular nerve and the lateral line nerves. To learn whether the earliest inputs induce the initial outgrowth of the M cell dendrite, we ablated the trigeminal neurons by laser irradiation before they contacted the M cell. Morphogenesis of the M cell, including its dendrite, appeared normal.     

Changes in the Motor Asymmetry and Structure of Mauthner Neurons of the Goldfish Resulting from Unilateral Visual Deprivation

We studied the effects of unilateral enucleation of the eye on the motor asymmetry of goldfish fries and morphometric characteristics of their Mauthner neurons, MNs (data of 3D reconstruction using serial slices). Enucleation of the right or left eye in ambidextral fishes resulted in stable preference of turnings during swimming toward the side of visual deafferentation and in a shift of the initial motor asymmetry coefficient (MAC) by 25%, on average. Ipsilateral enucleation of the eye in dextral and sinistral fishes intensified the initial motor asymmetry by 20%. Contralateral enucleation of the eye in dextral and sinistral fishes induced inversion of the motor asymmetry with a decrease in the MAC by 50%, on average. All operated fishes stably (within 3 months or more) preferred to turn toward the side of the enucleated eye. Morphological measurements showed that the size of the ventral dendrite of the MN contralateral with respect to the side of enucleation noticeably decreased. At the same time, this neuron (according to a shift in the motor asymmetry of the fish) became the functionally dominant unit. These data agree with the earlier supposition on a reciprocal relation between the level of functional activity of the MN and the size of its ventral dendrite. Selective changes in the dimension of the ventral dendrite of the MN receiving visual inputs probably resulted from the action of some endogenous trophic factor. The effect of this factor was enhanced after enucleation of the eye and the corresponding dysfunction of the contralateral visual input. A specific local change in the balance of neurotransmitter influences upon the MN ventral dendrite can play the role of such a factor. From the neurophysiological aspect, a decrease in the size of the ventral MN dendrite is a primary link in the chain of events resulting in modification of behavior; it leads to intensification of the integral functional activity of the MN and a shift of the motor asymmetry of the fish compensating, in such a way, the effect of unilateral visual deprivation.     

Evidence for the connections between a clutch cell and a corticotectal neuron in area 17 of the cat visual cortex

Evidence is presented for the synaptic connectivity between a physiologically characterized and intracellularly filled GABAergic interneuron and a corticotectal pyramidal neuron in area 17 of the cat visual cortex. The interneuron was located in layer 4 and had the morphological characteristics of a clutch cell. The physiological data demonstrated that the clutch cell received direct X-type innervation from the dorsal lateral geniculate nucleus. These results indicate that a GABAergic neuron is directly involved during the first cortical stages of geniculocorticotectal interactions. Furthermore, the proximal location of the clutch-cell inputs to the labelled dendrite suggests a strategic siting of intracortical feedforward inhibition.     

Microtubule nucleation and organization in dendrites

Dendrite branching is an essential process for building complex nervous systems. It determines the number, distribution and integration of inputs into a neuron, and is regulated to create the diverse dendrite arbor branching patterns characteristic of different neuron types. The microtubule cytoskeleton is critical to provide structure and exert force during dendrite branching. It also supports the functional requirements of dendrites, reflected by differential microtubule architectural organization between neuron types, illustrated here for sensory neurons. Both anterograde and retrograde microtubule polymerization occur within growing dendrites, and recent studies indicate that branching is enhanced by anterograde microtubule polymerization events in nascent branches. The polarities of microtubule polymerization events are regulated by the position and orientation of microtubule nucleation events in the dendrite arbor. Golgi outposts are a primary microtubule nucleation center in dendrites and share common nucleation machinery with the centrosome. In addition, pre-existing dendrite microtubules may act as nucleation sites. We discuss how balancing the activities of distinct nucleation machineries within the growing dendrite can alter microtubule polymerization polarity and dendrite branching, and how regulating this balance can generate neuron type-specific morphologies.     

The Green’s function formalism as a bridge between single- and multi-compartmental modeling

Neurons are spatially extended structures that receive and process inputs on their dendrites. It is generally accepted that neuronal computations arise from the active integration of synaptic inputs along a dendrite between the input location and the location of spike generation in the axon initial segment. However, many application such as simulations of brain networks use point-neurons—neurons without a morphological component—as computational units to keep the conceptual complexity and computational costs low. Inevitably, these applications thus omit a fundamental property of neuronal computation. In this work, we present an approach to model an artificial synapse that mimics dendritic processing without the need to explicitly simulate dendritic dynamics. The model synapse employs an analytic solution for the cable equation to compute the neuron’s membrane potential following dendritic inputs. Green’s function formalism is used to derive the closed version of the cable equation. We show that by using this synapse model, point-neurons can achieve results that were previously limited to the realms of multi-compartmental models. Moreover, a computational advantage is achieved when only a small number of simulated synapses impinge on a morphologically elaborate neuron. Opportunities and limitations are discussed.     

Peripheral specification of Ia synaptic input to motoneurons innervating foreign target muscles

Muscle sensory neurons, called Ia afferents, make monosynaptic connections with functionally related sets of motoneurons in the spinal cord. Previous work has suggested that peripheral target muscles play a major role in determining the central connections of Ia afferents with motoneurons. Here, we ask whether motoneurons can also be influenced by their target muscles in terms of the monosynaptic input they receive from Ia afferents, by transplanting thoracic motoneurons into the lumbosacral spinal cord so that they innervate foreign muscles. Three or four segments of thoracic neural tube from stage 14-15 chicken embryos were transplanted to the lumbosacral region of stage 16-17 embryos, and electrophysiological recordings were made from transplanted motoneurons after the embryos had reached stage 38-40. Transplanted thoracic motoneurons innervated limb muscles and received monosynaptic inputs from Ia afferents. These connections were not random: Most of the connections were formed between Ia afferents and motoneurons projecting to the same muscle (homonymous connections). Few aberrant connections were found although the anatomical distribution of afferents in the transplant indicated that they had ample opportunity to contact inappropriate motoneurons. We conclude that although peripheral target cues are not sufficient to respecify an already committed motoneuron (turn a thoracic motoneuron into a lumbosacral motoneuron), they do provide sufficient information for Ia afferent input to be functionally correct.     

Postsynaptic inhibition in the primordial hippocampus of the frog

Postsynaptic responses of neurons of the primordial hippocampus to electrical stimulation of brain structures belonging to the visual and olfactory afferent systems were investigated in frogs (Rana temporaria) immobilized with diplacin. * Short-latency (early) and long-latency (late) IPSPs evoked by both olfactory and visual afferent inputs, most probably activated by different conducting systems, are described. Impulses of different modalities can induce both similar and different IPSPs in a neuron. The conducting systems may have a common interneuron for the visual input and specific interneurons for the olfactory input. IPSPs evoked by visual impulses were similar in location to the early IPSP of the olfactory afferent input. Convergence of the systems of early and late inhibition on one neuron was frequently observed for the olfactory afferent input.M. V. Lomonosov Moscow State University. Translated from Neirofiziologiya, Vol. 5, No. 6, pp. 583–592, November–December, 1973.     

Dendritic Integration in Olfactory Sensory Neurons: A Steady-State Analysis of How the Neuron Structure and Neuron Environment Influence the Coding of Odor Intensity

Response properties of the receptor potential at steady state were analyzed in a biophysical model of an olfactory sensory neuron embedded in a multicell environment. The neuron structure was described as a set of several identical dendrites (or cilia) bearing the transduction mechanisms, joined to a nonsensory part—dendritic knob, soma, and axon. The different ionic compositions of the media surrounding the neuron sensory and nonsensory parts and the extraneuronal voltage sources, which both result from the presence of auxiliary cells, were also taken into account. Analytical solutions were found to describe how the receptor potential at the nonsensory part responds to a uniform change in the odorant-dependent conductance resulting from odorant stimulation of the sensory dendrites. We investigated the influence of various geometrical and electrical parameters on the receptor-potential response in the classical model neuron within a homogeneous environment and in the model neuron surrounded with auxiliary cells. First, it was found that the maximum amplitude of the receptor potential is independent of the neuron structure in the absence of auxiliary cells but not in their presence. In the latter case, the amplitude decreases with the length and number of sensory dendrites and with the input resistance of the nonsensory part. Second, the sensitivity (as measured by the increase in membrane conductance at half-maximum response) of the neuron model in the absence of auxiliary cells is higher, but its dynamic range is narrower than in their presence. The dynamic range is wide and the sensitivity low when the input resistance of the nonsensory part is small and the sensory dendrite is unbranched. Both sensitivity and dynamic range are higher for a longer dendrite. These results help understand the morphology of insect olfactory sensilla and can be generalized to other neuron types.     

Performance limitations of relay neurons

RELAY CELLS ARE PREVALENT THROUGHOUT SENSORY SYSTEMS AND RECEIVE TWO TYPES OF INPUTS: driving and modulating. The driving input contains receptive field properties that must be transmitted while the modulating input alters the specifics of transmission. For example, the visual thalamus contains relay neurons that receive driving inputs from the retina that encode a visual image, and modulating inputs from reticular activating system and layer 6 of visual cortex that control what aspects of the image will be relayed back to visual cortex for perception. What gets relayed depends on several factors such as attentional demands and a subject's goals. In this paper, we analyze a biophysical based model of a relay cell and use systems theoretic tools to construct analytic bounds on how well the cell transmits a driving input as a function of the neuron's electrophysiological properties, the modulating input, and the driving signal parameters. We assume that the modulating input belongs to a class of sinusoidal signals and that the driving input is an irregular train of pulses with inter-pulse intervals obeying an exponential distribution. Our analysis applies to any [Formula: see text] order model as long as the neuron does not spike without a driving input pulse and exhibits a refractory period. Our bounds on relay reliability contain performance obtained through simulation of a second and third order model, and suggest, for instance, that if the frequency of the modulating input increases or the DC offset decreases, then relay increases. Our analysis also shows, for the first time, how the biophysical properties of the neuron (e.g. ion channel dynamics) define the oscillatory patterns needed in the modulating input for appropriately timed relay of sensory information. In our discussion, we describe how our bounds predict experimentally observed neural activity in the basal ganglia in (i) health, (ii) in Parkinson's disease (PD), and (iii) in PD during therapeutic deep brain stimulation. Our bounds also predict different rhythms that emerge in the lateral geniculate nucleus in the thalamus during different attentional states.     

White-noise analysis of nonlinear behavior in an insect sensory neuron: Kernel and cascade approaches

A functional expansion was used to model the relationship between a Gaussian white noise stimulus current and the resulting action potential output in the single sensory neuron of the cockroach femoral tactile spine. A new precise procedure was used to measure the kernels of the functional expansion. Very similar kernel estimates were obtained from separate sections of the data produced by the same neuron with the same input noise power level, although some small time-varying effects were detectable in moving through the data. Similar kernel estimates were measured using different input noise power levels for a given cell, or when comparing different cells under similar stimulus conditions. The kernels were used to identify a model for sensory encoding in the neuron, comprising a cascade of dynamic linear, static nonlinear, and dynamic linear elements. Only a single slice of the estimated experimental second-order kernel was used in identifying the cascade model. However, the complete second-order kernel of the cascade model closely resembled the estimated experimental kernel. Moreover, the model could closely predict the experimental action potential train obtained with novel white noise inputs.     

What the mantis shrimp's eye (possibly) tells its raptorial appendages

On the distal lamina surface of stomatoped eyes a matrix of horizontal and vertical nerve fibers processes the complex input patterns. The output of these integrating fibers is a spike discharge pattern correlated to the input pattern. Here we introduce a ± neuron which either subtracts or sums the outputs from the set of horizontal and vertical fibers activated at that moment. The output pattern of spike frequencies of the ± neuron locates a target in space. Over a parallel channel outputs from the vertical fibers pass a bandpass filter and constitute one of the inputs for a decision neuron. The other input derives from specialized ommatidia at the center of the eye. If both inputs arrive within a short time interval, they sum, the threshold is reached and the decision neuron fires. Spikes from the decision neuron are the final cue for the muscles of the raptorial appendages. The appendages shoot forward and hit the prey with high precision.     

Bidirectional changes in spatial dendritic integration accompanying long-term synaptic modifications

Information processing in the neuron requires spatial summation of synaptic inputs at the dendrite. In CA1 pyramidal neurons of the hippocampus, a brief period of correlated pre- and postsynaptic activity, which induces long-term potentiation (LTP) or long-term depression (LTD), results in a persistent increase or decrease in the linearity of spatial summation, respectively. Such bidirectional modification of the summation property is specific to the modified input and reflects localized dendritic changes involving I(h) channels and NMDA receptors. Thus, correlated pre- and postsynaptic activity alters not only the strength of the activated input but also its dendritic integration with other inputs.     

Higher order visual input to the mushroom bodies in the bee, Bombus impatiens

To produce appropriate behaviors based on biologically relevant associations, sensory pathways conveying different modalities are integrated by higher-order central brain structures, such as insect mushroom bodies. To address this function of sensory integration, we characterized the structure and response of optic lobe (OL) neurons projecting to the calyces of the mushroom bodies in bees. Bees are well known for their visual learning and memory capabilities and their brains possess major direct visual input from the optic lobes to the mushroom bodies. To functionally characterize these visual inputs to the mushroom bodies, we recorded intracellularly from neurons in bumblebees (Apidae: Bombus impatiens) and a single neuron in a honeybee (Apidae: Apis mellifera) while presenting color and motion stimuli. All of the mushroom body input neurons were color sensitive while a subset was motion sensitive. Additionally, most of the mushroom body input neurons would respond to the first, but not to subsequent, presentations of repeated stimuli. In general, the medulla or lobula neurons projecting to the calyx signaled specific chromatic, temporal, and motion features of the visual world to the mushroom bodies, which included sensory information required for the biologically relevant associations bees form during foraging tasks.     

The role of the thalamus in the flow of information to the cortex

The lateral geniculate nucleus is the best understood thalamic relay and serves as a model for all thalamic relays. Only 5-10% of the input to geniculate relay cells derives from the retina, which is the driving input. The rest is modulatory and derives from local inhibitory inputs, descending inputs from layer 6 of the visual cortex, and ascending inputs from the brainstem. These modulatory inputs control many features of retinogeniculate transmission. One such feature is the response mode, burst or tonic, of relay cells, which relates to the attentional demands at the moment. This response mode depends on membrane potential, which is controlled effectively by the modulator inputs. The lateral geniculate nucleus is a first-order relay, because it relays subcortical (i.e. retinal) information to the cortex for the first time. By contrast, the other main thalamic relay of visual information, the pulvinar region, is largely a higher-order relay, since much of it relays information from layer 5 of one cortical area to another. All thalamic relays receive a layer-6 modulatory input from cortex, but higher-order relays in addition receive a layer-5 driver input. Corticocortical processing may involve these corticothalamocortical 're-entry' routes to a far greater extent than previously appreciated. If so, the thalamus sits at an indispensable position for the modulation of messages involved in corticocortical processing.     

Glutamate uptake determines pathway specificity of long-term potentiation in the neural circuitry of fear conditioning

Long-term synaptic modifications in afferent inputs to the amygdala underlie fear conditioning in animals. Fear conditioning to a single sensory modality does not generalize to other cues, implying that synaptic modifications in fear conditioning pathways are input specific. The mechanisms of pathway specificity of long-term potentiation (LTP) are poorly understood. Here we show that inhibition of glutamate transporters leads to the loss of input specificity of LTP in the amygdala slices, as assessed by monitoring synaptic responses at two independent inputs converging on a single postsynaptic neuron. Diffusion of glutamate ("spillover") from stimulated synapses, paired with postsynaptic depolarization, is sufficient to induce LTP in the heterosynaptic pathway, whereas an enzymatic glutamate scavenger abolishes this effect. These results establish active glutamate uptake as a crucial mechanism maintaining the pathway specificity of LTP in the neural circuitry of fear conditioning.     

Testing odor response stereotypy in the Drosophila mushroom body

The mushroom body is an insect brain structure required for olfactory learning. Its principal neurons, the Kenyon cells (KCs), form a large cell population. The neuronal populations from which their olfactory input derives (olfactory sensory and projection neurons) can be identified individually by genetic, anatomical, and physiological criteria. We ask whether KCs are similarly identifiable individually, using genetic markers and whole-cell patch-clamp in vivo. We find that across-animal responses are as diverse within the genetically labeled subset as across all KCs in a larger sample. These results combined with those from a simple model, using projection neuron odor responses as inputs, suggest that the precise circuit specification seen at earlier stages of odor processing is likely absent among the mushroom body KCs.     

The mono- and polysynaptic connections between identified neurons in the system of the passive defensive reflex in the edible snail]

A structure of synaptic connections between the identified sensory and giant command neurons of Helix lucorum was studied. It was found that EPSPs arising in the giant neuron as responses to single action potentials generation in sensory neuron consist of several monosynaptic and several polysynaptic components having different magnitude, latencies, and plasticity. The latencies of monosynaptic components are determined by different presynaptic terminals' lengths.