Influence of Active Dendritic Currents on Input-Output Processing in Spinal Motoneurons In Vivo

2003 ◽  
Vol 89 (1) ◽  
pp. 27-39 ◽  
Author(s):  
R. H. Lee ◽  
J. J. Kuo ◽  
M. C. Jiang ◽  
C. J. Heckman

The extensive dendritic tree of the adult spinal motoneuron generates a powerful persistent inward current (PIC). We investigated how this dendritic PIC influenced conversion of synaptic input to rhythmic firing. A linearly increasing, predominantly excitatory synaptic input was generated in triceps ankle extensor motoneurons by slow stretch (duration: 2–10 s) of the Achilles tendon in the decerebrate cat preparation. The firing pattern evoked by stretch was measured by injecting a steady current to depolarize the cell to threshold for firing. The effective synaptic current ( I N, the net synaptic current reaching the soma of the cell) evoked by stretch was measured during voltage clamp. Hyperpolarized holding potentials were used to minimize the activation of the dendritic PIC and thus estimate stretch-evoked I N for a passive dendritic tree ( I N,PASS). Depolarized holding potentials that approximated the average membrane potential during rhythmic firing allowed strong activation of the dendritic PIC and thus resulted in marked enhancement of the total stretch-evoked I N( I N,TOT). The net effect of the dendritic PIC on the generation of rhythmic firing was assessed by plotting stretch-evoked firing (strong PIC activation) versus stretch-evoked I N,PASS (minimal PIC activation). The gain of this input-output function for the neuron (I-ON) was found to be ∼2.7 times as high as for the standard injected frequency current ( F-I) function in low-input conductance neurons. However, about halfway through the stretch, firing rate tended to become constant, resulting in a sharp saturation in I-ON that was not present in F-I. In addition, the gain of I-ONdecreased sharply with increasing input conductance, resulting in much lower stretch-evoked firing rates in high-input conductance cells. All three of these phenomena (high initial gain, saturation, and differences in low- and high-input conductance cells) were also readily apparent in the differences between stretch-evoked I N,TOT and I N, PASS and thus could be accounted for by the activation of the dendritic PIC. As a result, stretch-evoked I N,TOT and F-I provided an accurate prediction of the overall change in stretch-evoked firing. However, in about half of the low-input conductance cells, the rate of rise of firing in response to stretch was not smoothly graded but instead consisted of a rapid surge. Stretch-evoked I N,TOT was always smoothly graded. This suggests that although stretch-evoked I N,TOT can be used to predict the overall change in firing, prediction of the dynamics of firing may be less accurate.

2011 ◽  
Vol 105 (3) ◽  
pp. 1170-1178 ◽  
Author(s):  
Cassie S. Mitchell ◽  
Robert H. Lee

Uncovering how motoneurons utilize their voltage-sensitive conductances to systematically respond to a variety of inputs is paramount to understanding synaptic integration. In this study, we examine the input dynamics and frequency-dependent characteristics of active conductances in motoneurons as viewed from the soma in the decerebrate cat. We evaluated the somatic response of the motoneuron by superimposing a voltage sinus sweep (a sine wave in which frequency increases with time, which is often referred to as a zap or chirp) at a subset of membrane holding potentials during discontinuous, single-electrode, somatic voltage-clamp. Results from both experimental and modeling data indicate that ionic conductances can respond to a wide variety of input dynamics. Notably, it appears that there is a divergence between low input conductance type S and high input conductance type FF motoneurons in their response to input frequency. Type S motoneurons generate a larger response to lower frequency input dynamics (compared with their response to higher frequencies), whereas type FF generate a larger response to higher input frequency dynamics. Functionally, these results may indicate that motoneurons on the lower end of the motor pool (i.e., recruited first) may favor steady inputs, whereas motoneurons at the higher end (i.e., recruited later) may favor input transients in producing action potentials.


1996 ◽  
Vol 76 (3) ◽  
pp. 2107-2110 ◽  
Author(s):  
R. H. Lee ◽  
C. J. Heckman

1. After application of the noradrenergic alpha 1 agonist methoxamine, muscle spindle Ia input evoked bistable firing patterns (i.e., persistent discharges after Ia input ceased) in adult spinal motoneurons in the decerebrate cat preparation. These bistable discharge patterns were compared with the Ia currents generated in voltage-clamp conditions. 2. During voltage clamp at depolarized holding potentials, the Ia effective synaptic current underwent strong amplification. In those cells with strong bistable firing, a prolonged tail current followed the Ia input. Because the voltage clamp held the behavior of somatic conductances constant, these data indicate that voltage-sensitive conductances in the motoneuron dendrites made an important contribution to bistable firing.


2017 ◽  
Author(s):  
Balázs B Ujfalussy ◽  
Máté Lengyel ◽  
Tiago Branco

AbstractDendrites integrate inputs in highly non-linear ways, but it is unclear how these non-linearities contribute to the overall input-output transformation of single neurons. Here, we developed statistically principled methods using a hierarchical cascade of linear-nonlinear subunits (hLN) to model the dynamically evolving somatic response of neurons receiving complex spatio-temporal synaptic input patterns. We used the hLN to predict the membrane potential of a detailed biophysical model of a L2/3 pyramidal cell receiving in vivo-like synaptic input and reproducing in vivo dendritic recordings. We found that more than 90% of the somatic response could be captured by linear integration followed a single global non-linearity. Multiplexing inputs into parallel processing channels could improve prediction accuracy by as much as additional layers of local non-linearities. These results provide a data-driven characterisation of a key building block of cortical circuit computations: dendritic integration and the input-output transformation of single neurons during in vivo-like conditions.


1999 ◽  
Vol 82 (5) ◽  
pp. 2518-2527 ◽  
Author(s):  
R. H. Lee ◽  
C. J. Heckman

Spinal motoneurons can exhibit bistable behavior, which consists of stable self-sustained firing that is initiated by a brief excitatory input and terminated by brief inhibitory input. This bistable behavior is generated by a persistent inward current ( I PIC). In cat motoneurons with low input conductances and slow axonal conduction velocities, I PIC exhibits little decay with time and thus self-sustained firing is long-lasting. In contrast, in cells that have high input conductances and fast conduction velocities, I PIC decays with time, and these cells cannot maintain long duration self-sustained firing. An alternative way to measure bistable behavior is to assess plateau potentials after the action potential has been blocked by intracellular injection of QX-314 to block sodium (Na+) currents. However, QX-314 also blocks calcium (Ca2+) currents and, because I PIC may be generated by a mixture of Ca2+ and Na+ currents, a reduction in amplitude of I PIC was expected. We therefore systematically compared the properties of I PIC in a sample of cells recorded with QX-314 to a control sample of cells without QX-314, which was obtained in a previous study. Single-electrode voltage-clamp techniques were applied in spinal motoneurons in the decerebrate cat preparation following administration of a standardized dose of the noradrenergic α1 agonist methoxamine. In the sample with QX-314, the average value of I PIC was only about half that in the control sample. However, the reduction of I PIC was much greater in cells with slow as compared with fast conduction velocities. Because a substantial portion of I PIC originates in dendritic regions and because conduction velocity covaries with the extent of the dendritic tree, this result suggests that QX-314 may fail to diffuse very far into the dendrites of the largest motoneurons. The analysis of the decay of I PIC and plateau potentials in cells with QX-314 also produced an unexpected result: QX-314 virtually eliminated time-dependent decay in both I PICand plateau potentials. Consequently, I PICbecame equally persistent in high and low input conductance cells. Therefore the decay in I PIC in high input conductance cells in the absence of QX-314 is not due to an intrinsic tendency of the underlying inward current to decay. Instead it is possible that the decay may result from activation of a slow outward current. Overall, these results show that QX-314 has a profound effect on I PIC and thus plateau potentials obtained using QX-314 do not accurately reflect the properties of I PIC in normal cells without QX-314.


2007 ◽  
Vol 97 (3) ◽  
pp. 2148-2158 ◽  
Author(s):  
Nathan P. Cramer ◽  
Ying Li ◽  
Asaf Keller

Using the rat vibrissa system, we provide evidence for a novel mechanism for the generation of movement. Like other central pattern generators (CPGs) that underlie many movements, the rhythm generator for whisking can operate without cortical inputs or sensory feedback. However, unlike conventional mammalian CPGs, vibrissa motoneurons (vMNs) actively participate in the rhythmogenesis by converting tonic serotonergic inputs into the patterned motor output responsible for movement of the vibrissae. We find that, in vitro, a serotonin receptor agonist, α-Me-5HT, facilitates a persistent inward current (PIC) and evokes rhythmic firing in vMNs. Within each motoneuron, increasing the concentration of α-Me-5HT significantly increases the both the magnitude of the PIC and the motoneuron's firing rate. Riluzole, which selectively suppresses the Na+ component of PICs at low concentrations, causes a reduction in both of these phenomena. The magnitude of this reduction is directly correlated with the concentration of riluzole. The joint effects of riluzole on PIC magnitude and firing rate in vMNs suggest that the two are causally related. In vivo we find that the tonic activity of putative serotonergic premotoneurons is positively correlated with the frequency of whisking evoked by cortical stimulation. Taken together, these results support the hypothesized novel mammalian mechanism for movement generation in the vibrissa motor system where vMNs actively participate in the rhythmogenesis in response to tonic drive from serotonergic premotoneurons.


Most of the devices in power system become faulty due to the large content of harmonics present in voltage and current. It is mainly caused by the conduction losses in the system. At first, it is necessary to determine the extent of harmonic present by calculating the total harmonic distortions i.e., root over sum of the integral harmonics divide by fundamental harmonic. Later, identification of type of method for reducing harmonics is essential. In this project we are mainly focusing on two types of PFC bridge boost rectifier to improve the efficiency for low and high input voltage range. It using back to back bridgeless PFC boost rectifier for high input voltage and for low input voltage range, three level bridgeless boost rectifiers respectively. Fast recovery diode instead of normal diodes for better reliability and efficiency is utilized. The end model is obtained by combining two circuits BTBBL (Back to back bridgeless boost PFC) and TLBL (Three level bridgeless boost PFC) to get the FMBL (Flexible mode bridgeless boost PFC). Due to presence of less no of components, conduction losses are less hence less distortion is observed with improved efficiency. A simulation is carried out for all three models using MATLAB Simulink platform. In hardware, TLP250 driver for MOSFET is used and which is interfaced with PIC microcontroller. The hardware results are obtained that validates the simulation results.


2018 ◽  
Author(s):  
Richard Dewell ◽  
Fabrizio Gabbiani

Brains processes information through the coordinated efforts of billions of individual neurons, each encoding a small part of the overall information stream. Central to this is how neurons integrate and transform complex patterns of synaptic inputs. The neuronal membrane impedance sets the gain and timing for synaptic integration, determining a neuron's ability to discriminate between synaptic input patterns. Using single and dual dendritic recordings in vivo, pharmacology, and computational modeling, we characterized the membrane impedance of a collision detection neuron in the grasshopper, Schistocerca americana. We examined how the cellular properties of the lobula giant movement detector (LGMD) neuron are tuned to enable the discrimination of synaptic input patterns key to its role in collision detection. We found that two common active conductances gH and gM, mediated respectively by hyperpolarization-activated cyclic nucleotide gated (HCN) channels and by muscarine sensitive M-type K+ channels, promote broadband integration with high temporal precision over the LGMD's natural range of membrane potentials and synaptic input frequencies. Additionally, we found that the LGMD's branching morphology increased the gain and decreased delays associated with the mapping of synaptic input currents to membrane potential. We investigated whether other branching dendritic morphologies fulfill a similar function and found this to be true for a wide range of morphologies, including those of neocortical pyramidal neurons and cerebellar Purkinje cells. These findings further our understanding of the integration properties of individual neurons by showing the unexpected role played by two widespread active conductances and by dendritic morphology in shaping synaptic integration.


Cell Reports ◽  
2018 ◽  
Vol 24 (13) ◽  
pp. 3455-3465.e5 ◽  
Author(s):  
Leiron Ferrarese ◽  
Jean-Sébastien Jouhanneau ◽  
Michiel W.H. Remme ◽  
Jens Kremkow ◽  
Gergely Katona ◽  
...  

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