Possible modes of autorhythmic activity of a single neuron

The rhythmic impulse activity of the nerve cells is one of the characteristic phenomena often registered in the experiments on different objects. According to the nature of its origination it should be distinguished the evoked rhythmic activity from autonomic. The variants of interaction of pacemaker and membrane oscillators leading to the variety of regimes of autorhythmic activity of the neuron are discussed. The interaction of several membrane oscillators without the participation of the pacemaker autogenerator may lead to the authorhythmic reverberative (extracellular) activity.     

Axon-dendrite and apical-basolateral sorting in a single neuron

Cells are highly organized machines with functionally specialized compartments. For example, membrane proteins are localized to axons or dendrites in neurons and to apical or basolateral surfaces in epithelial cells. Interestingly, many sensory cells—including vertebrate photoreceptors and olfactory neurons—exhibit both neuronal and epithelial features. Here, we show that Caenorhabditis elegans amphid neurons simultaneously exhibit axon-dendrite sorting like a neuron and apical-basolateral sorting like an epithelial cell. The distal ∼5–10 µm of the dendrite is apical, while the remainder of the dendrite, soma, and axon are basolateral. To determine how proteins are sorted among these compartments, we studied the localization of the conserved adhesion molecule SAX-7/L1CAM. Using minimal synthetic transmembrane proteins, we found that the 91-aa cytoplasmic tail of SAX-7 is necessary and sufficient to direct basolateral localization. Basolateral localization can be fully recapitulated using either of 2 short (10-aa or 19-aa) tail sequences that, respectively, resemble dileucine and Tyr-based motifs known to mediate sorting in mammalian epithelia. The Tyr-based motif is conserved in human L1CAM but had not previously been assigned a function. Disrupting key residues in either sequence leads to apical localization, while “improving” them to match epithelial sorting motifs leads to axon-only localization. Indeed, changing only 2 residues in a short motif is sufficient to redirect the protein between apical, basolateral, and axonal localization. Our results demonstrate that axon-dendrite and apical-basolateral sorting pathways can coexist in a single cell, and suggest that subtle changes to short sequence motifs are sufficient to redirect proteins between these pathways.     

单神经元分辨水平的小鼠全脑网络可视化

脑科学是当今国际科技研究的前沿领域。脑是最复杂的器官,其中尚有诸多重大的基础科学问题有待解决。开展脑科学研究需多学科人员协同攻关,对于建立新学科将有极大的促进作用,对于人类健康和社会发展具有巨大的推动作用。简述了神经科学在结构成像方面的基础性需求,介绍了小鼠全脑可视化的发展历程以及近几年的代表性研究,并展望了全脑可视化研究的发展趋势,对可能存在的难点予以说明。     

Time course of perceptual discrimination and single neuron reliability

The reliability of identification of a visual target increases with time available for inspection of the stimulus. We suggest that the neural basis of this improvement is the existence of a mechanism for integrating a noisy firing rate over some period, leading to a reduction in mean firing rate variance with available processing time. We have determined the experimental time course of the improvement in reliability in a parallel search task where the available inspection time is limited by the presentation of a mask at various times after a brief stimulus. We compare the resulting psychometric functions with the predictions of a model based on Signal Detection Theory. The model is based on the assumption that the reliability of the observer's response is limited by the variability of the responses of individual neurons. The reliability of the discrimination between two stimuli at the neuronal level is then directly related to the ratio of the difference between their integrated mean responses (over many trials) to the response standard deviation. This reliability increases with inspection time. To demonstrate application of the model to electrophysiological data, neurometric functions are derived from the firing rates of a monkeyV1 cortical neuron. The data were obtained while the animal was active in a discrimination task. The results correspond qualitatively to our observed human psychometric functions.     

Neurodynamics of up and down transitions in a single neuron

Recent experimental studies have revealed that up and down transitions exist in membrane potential of neurons. This paper focuses on the neurodynamical research of these transitions in a single neuron since it is the basic to study the transitions in the neural network for further work. The results show there exists two stable levels in the neuron called up and down states. And transitions between these two states are bidirectional or unidirectional with the values of parameters changing. We also study the periodic spontaneous activity of the transitions between up and down states without any inputting stimulus which coheres with the experimental results.     

2 pools of mitochondria in a single mechanoreceptor neuron]

The microspectrofluorimetric technique was applied to measure the intracellular ratio of oxidized flavoproteins and NADH in isolated neuron preparation from the stretch receptor organ of the crayfish Astacus leptodactilus. Two pools of mitochondria were detected differing from each other in their functional activity in the single cell at the same time. The mitochondria of the pool are localized near the nucleus, those of the other one being placed along the cell membrane. Physiological treatments (stretch, calcium deficient media) produce different changes in the activity of mitochondria belonging to the different pools. It is suggested that these pools of mitochondria furnish with energy different functional mechanisms within the same cell.     

Mechanism of gain modulation at single neuron and network levels

Gain modulation, in which the sensitivity of a neural response to one input is modified by a second input, is studied at single-neuron and network levels. At the single neuron level, gain modulation can arise if the two inputs are subject to a direct multiplicative interaction. Alternatively, these inputs can be summed in a linear manner by the neuron and gain modulation can arise, instead, from a nonlinear input–output relationship. We derive a mathematical constraint that can distinguish these two mechanisms even though they can look very similar, provided sufficient data of the appropriate type are available. Previously, it has been shown in coordinate transformation studies that artificial neurons with sigmoid transfer functions can acquire a nonlinear additive form of gain modulation through learning-driven adjustment of synaptic weights. We use the constraint derived for single-neuron studies to compare responses in this network with those of another network model based on a biologically inspired transfer function that can support approximately multiplicative interactions.     

Behavior of a single neuron in a recurrent excitatory loop

A recurrent excitation loop was constructed by enabling each impulse from the slowly adapting stretch receptor organ SAO (crayfish) to trigger through an electronic circuit a brief stretch, or “tug,” of the receptor. When applied independently, each tug influenced the discharge as would an EPSP. Recurrent excitation led to characteristic discharge timings; hence, even an isolated neuron can have intrinsic mechanisms that prevent positive feedback from freezing it in an extreme non-operational state. Such timings depended critically on the “phase”, i.e., on the time elapsed between an SAO impulse and the tug. When the control discharge was stationary (because the SAO length remained invariant), phases of a few ms simply changed the pattern to one of doublets, and affected little the average rate. As the phase increased, bursts appeared, bursts and interburst intervals became more prolonged, and average rates increased. With the largest phases examined (40 ms), the discharge consisted of a slow alternation of high rate bursts, separated by long intervals. When the discharge was modulated (by 0.2/s sinusoidal length variation) with recurrent excitation, the peak-to-peak rate swing, i.e., the sensitivity, and the proportion of the cycle without afferent discharges increased, and the rate vs. length display was distorted even though remaining “loop-plus-extension.” Changes were phase-dependent: for example, loops could have a sharp high peak at one phase and be flat-topped at another. When the interspike interval variability was exaggerated (by a length jitter superimposed upon either invariant or sinusoidally varying lengths), recurrent excitation exerted fewer, weaker and somewhat different effects: e.g., it reduced the overall intensity of the invariant cases and the peak-to-peak swing in the modulated one. The precise mechanisms of these results can only be conjectured at but are likely to involve an electrogenic pump, electromechanical interactions, topographical issues, as well as their interplays. The functional implications involve, for instance, the modulation of the intensity, duration and occurrence of the bursting patterns in oscillating functions (e.g., breathing, chewing, etc.).     

Noise effects in an electronic model of a single neuron

We consider a simple electronic circuit model of a single neuron. The neuron is assumed to be driven by an external signal comprising constant (dc) and random components. In addition, the nonlinearity parameter in the circuit is assumed to fluctuate, thereby giving rise to critical behavior including the onset of hysteresis phenomena even for system parameter values that would not otherwise support such behavior. This noise-induced critical behavior is analysed, in the long time limit, through a study of the probability density function describing the neural response.     

Modal analysis of renewal models for spontaneous single neuron discharge

Three renewal process models of neural discharge were briefly discussed, and their modal properties were analyzed. Examples of numerical solutions for the p · d · f's of each model were presented, and they conformed with the analytical results, demonstrating that one of the models, Model 2, generates multimodal interresponse time p · d · f's. Several areas of comparison with real data were indicated.Supported in part by a grant from the Alfred P. Sloan Foundation to the Department of Theoretical Biology, and by Research Grant No. NSF-GP-16071 from the Division of Mathematical, Physical and Engineering Sciences of the National Science Foundation to the Department of Statistics, University of Chicago.     

Synthesis of glycoproteins in a single identified neuron of Aplysia californica

Incorporation of L-[³H]fucose into glycoproteins was studied in R2, the giant neuron in the abdominal ganglion of Aplysia. [³H]fucose injected directly into the cell body of R2 was readily incorporated into glycoproteins which, as shown by autoradiography, were confined almost entirely to the injected neuron. Within 4 h after injection, 67% of the radioactivity in R2 had been incorporated into glycoproteins; at least 95% of these could be sedimented by centrifugation at 105,000 g, suggesting that they are associated with membranes. Extraction of the particulate fraction with sodium dodecyl sulfate (SDS), followed by gel filtration on Sephadex G-200 and polyacrylamide gel electrophoresis in SDS revealed the presence of only five major radioactive glycoprotein components which ranged in apparent molecular weight from 100,000 to 200,000 daltons. Similar results were obtained after intrasomatic injection of [³H]N-acetylgalactosamine. Mild acid hydrolysis of particulate fractions released all of the radioactivity in the form of fucose. When ganglia were incubated in the presence of [³H]fucose, radioactivity was preferentially incorporated into glial cells and connective tissue. In contrast to the relatively simple electrophoretic patterns obtained from cells injected with [³H]fucose, gel profiles of particulate fractions labeled with [¹⁴C]valine were much more complex.     

Clinical manifestations of impaired GnRH neuron development and function

Gonadotropin-releasing hormone (GnRH) and olfactory neurons migrate together in embryologic development, and disruption of this process causes idiopathic hypogonadotropic hypogonadism (IHH) with anosmia (Kallmann syndrome (KS)). Patients with IHH/KS generally manifest irreversible pubertal delay and subsequent infertility due to deficient pituitary gonadotropins or GnRH. The molecular basis of IHH/KS includes genes that: (1) regulate GnRH and olfactory neuron migration; (2) control the synthesis or secretion of GnRH; (3) disrupt GnRH action upon pituitary gonadotropes, or (4) interfere with pituitary gonadotropin synthesis or secretion. KS patients may also have midline facial defects indicating the diverse developmental functions of genes involved. Most causative genes cause either normosmic IHH or KS except FGFR1, which may cause either phenotype. Recently, several balanced chromosomal translocations have been identified in IHH/KS patients, which could lead to the identification of new disease-producing genes. Although there are two cases reported who have digenic disease, this awaits confirmation in future larger studies. The challenge will be to determine the importance of these genes in the 10-15% of couples with normal puberty who have infertility.     

Auditory change detection by a single neuron in an insect

The detection of novel signals in the auditory scene is an elementary task of any hearing system. In Neoconocephalus katydids, a primary auditory interneuron (TN-1) with broad spectral sensitivity, responded preferentially to rare deviant pulses (7 pulses/s repetition rate) embedded among common standard pulses (140 pulses/s repetition rate). Eliminating inhibitory input did not affect the detection of the deviant pulses. Detection thresholds for deviant pulses increased significantly with increasing amplitude of standard pulses. Responses to deviant pulses occurred when the carrier frequencies of deviant and standard were sufficiently different, both when the deviant had a higher or lower carrier frequency than the standard. Recordings from receptor neurons revealed that TN-1 responses to the deviant pulses did not depend on the population response strength of the receptors, but on the distribution of the receptor cell activity. TN-1 responses to the deviant pulse occurred only when the standard and deviant pulses were transmitted by different groups of receptor cells. TN-1 responses parallel stimulus specific adaptation (SSA) described in mammalian auditory system. The results support the hypothesis that the mechanisms underlying SSA and change-detection are located in the TN-1 dendrite, rather than the receptor cells.