Encoder response of isolated frog muscle spindle elicited by pseudorandom noise stimuli

1986 ◽  
Vol 55 (1) ◽  
pp. 13-22 ◽  
Author(s):  
H. Querfurth
Keyword(s):  
Muscle Spindle ◽  
Action Potentials ◽  
Dynamic Range ◽  
Frog Muscle ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Pseudorandom Noise ◽  
Afferent Discharge ◽  
The Mean ◽  
Discharge Patterns

The present experiments investigated the signal transfer in the isolated frog muscle spindle by using pseudorandom noise (PRN) as the analytical probe. In order to guarantee that the random stimulus covered the entire dynamic range of the receptor, PRN stimuli of different intensities were applied around a constant mean length, or PRN stimuli of the same intensity were used while varying the mean length of the spindle. Subthreshold receptor potentials, local responses, and propagated action potentials were recorded simultaneously from the first Ranvier node of the afferent stem fiber, thus providing detailed insight into the spike-initiating process within a sensory receptor. Relevant features of the PRN stimulus were evaluated by a preresponse averaging technique. Up to tau = 2 ms before each action potential the encoder selected a small set of steeply rising stretch transients. A second component of the preresponse stimulus ensemble (tau = 2-5 ms) opposed the overall stretch bias. Since each steeply rising stretch transient evoked a steeply rising receptor potential that guaranteed the critical slope condition of the encoding site, this stimulus profile was most effective in initiating action potentials. The dynamic range of the muscle spindle receptor extended from resting length, L0, to about L0 + 100 microns. At the lower limit (L0) the encoding membrane was depolarized to its firing level and discharged action potentials spontaneously. When random stretches larger than the upper region of the dynamic range were applied, the spindle discharged at the maximum impulse rate and displayed no depolarization block or "overstretch" phenomenon. Random stretches applied within the dynamic range evoked regular discharge patterns that were firmly coupled to the PRN. The afferent discharge rate increased, and the precision of phase-locking improved when the intensity of the PRN stimulus was increased around a constant mean stretch; or the mean prestretch level was raised to higher values while the intensity of the PRN stimulus was kept constant. In the case when the PRN stimulus covered the entire dynamic range, the temporal pattern of the afferent discharge remained constant for at least 10 consecutive sequences of PRN. A spectral analysis of the discharge patterns averaged over several sequences of PRN was employed. At the same stimulus intensity the response spectra displayed low-pass filter characteristics with a 10-dB bandwidth of 300 Hz and a high-frequency slope of -12 dB/oct. Increasing the mean intensity of the PRN stimulus or raising the prestretch level increased the response power.(ABSTRACT TRUNCATED AT 400 WORDS)

Transducer action of isolated frog muscle spindle evoked by pseudorandom noise stimuli

1986 ◽  
Vol 55 (1) ◽  
pp. 1-12 ◽  
Author(s):  
H. Querfurth
Keyword(s):  
Dynamic Response ◽  
Muscle Spindle ◽  
Dynamic Range ◽  
Maximum Amplitude ◽  
Receptor Potential ◽  
Frog Muscle ◽  
Small Shift ◽  
Response Properties ◽  
Pseudorandom Noise ◽  
The Mean

The dynamic response properties of the isolated frog muscle spindle receptor were investigated by recording the receptor potential evoked by pseudorandom noise (PRN) stimuli. The entire dynamic range of the receptor was determined by measuring the sensory response either at different intensities of the PRN stimulus (sigma = 8-30 microns) around a constant mean length or at the same intensity while varying the mean length from resting length L0 up to L0 + 150 microns. The 3-dB bandwidth of the test signal was 130 Hz. Random stimuli often evoked brief receptor potentials with variable size but characteristic shape. This shape contained a fast depolarization transient of the receptor potential during the stretching phase of the stimulus and a slowly decaying repolarization transient during release of stretch. The depolarization transient rose faster in proportion to the increasing amplitude of the receptor potential, so that larger receptor potentials were more phasic in character than smaller ones. The repolarization transient exhibited two segments of different exponential decay: The first brief repolarization phase lasted for 5 ms; its decline (tau = 2-5 ms) was faster for larger receptor potentials. The second slowly decaying repolarization transient was the same for different receptor potential amplitudes (tau = 47 ms). Consequently, the slow repolarization transients of succeeding receptor potentials displayed temporal summation. Since the amplitude and shape of the receptor potential remained constant during repeated sequences of PRN stimuli, this test stimulus was the most appropriate for the investigation of dynamic response properties under stationary conditions. Long-term stimulation caused a small shift of the mean membrane voltage towards hyperpolarizing values. This finding together with the marked "off effect" after termination of the stimulus indicate the action of an electrogenic pumping mechanism. The dynamic range of the muscle spindle receptor extended from resting length L0 up to L0 + 100 microns. Within this range static prestretches placed a bias upon the transducing site and effectively enhanced the amplitude of the receptor potential. Further prestretch beyond the dynamic region kept the receptor potential constant at its maximum amplitude. The receptor potential amplitude distribution was not symmetrical about the mean but was skewed in favor of depolarization values responding to the stretch trajectories of the PRN stimulus. Variation of the operating point by increasing the static prestretch also shifted the mode of the response distribution towards depolarization.(ABSTRACT TRUNCATED AT 400 WORDS)

Action potential patterns of isolated frog muscle spindle in response to sinusoidal stimulation

1985 ◽  
Vol 53 (1) ◽  
pp. 76-88 ◽  
Author(s):  
H. Querfurth
Keyword(s):  
Muscle Spindle ◽  
Action Potentials ◽  
Dynamic Range ◽  
Modulation Depth ◽  
Phase Locking ◽  
Receptor Potential ◽  
Intermediate Frequency ◽  
Frequency Domain Analysis ◽  
Frog Muscle ◽  
Discharge Pattern

Signal transfer in the isolated frog muscle spindle is investigated using the linear frequency domain analysis technique. Sinusoidal stretches of different amplitudes (20-120 micron) and frequencies (0.1-120 Hz) were applied at different levels of static prestretch, ranging from resting length (L0) up to L0 + 400 micron, so that the frequency-response characteristics were measured at different operating points within the dynamic range. The neuronal responses were recorded from the first node of the afferent stem fiber with a modified air-gap technique. By this means, subthreshold receptor potentials, prepotentials preceding the impulse, and the propagated action potentials were recorded simultaneously, thus providing a detailed insight into the encoding process. There is a well-defined dynamic range of receptor responses. At L0, the encoding site is depolarized to its firing level and discharges spontaneous stimulus-independent impulses. The upper limit is given by the saturation of the receptor potential, which keeps the depolarization maximum below the level of sodium inactivation. Therefore a "depolarization block" or "overstretch" does not exist in the muscle spindle; i.e., the receptor retains its ability to encode information over a large range of dynamic and static displacements. Since the dynamic curves of the receptor potential are not symmetrical about their static operating point, the impulse pattern remains modulated throughout the dynamic range, even if small sinusoids are superimposed on a large static prestretch. The afferent discharge pattern is mainly regulated by the modulated AC component of the receptor potential. At low stimulus frequencies (less than 1 Hz) the receptor potential modulates almost linearly about the mean membrane voltage, so that the evoked discharge pattern displays a smooth analog signal, which is close to sinusoidal. Increasing the static prestretch increases both the peak response and the modulation depth of the impulse pattern. In the intermediate frequency range (1-10 Hz), the cycle histogram disintegrates into discrete peaks separated by empty bins, because the nonlinear receptor potential elicites firmly phase-locked action potentials during its fast depolarization transient. Raising the prestretch level improves the precision of phase locking and increases the number of spikes elicited per cycle.(ABSTRACT TRUNCATED AT 400 WORDS)

scholarly journals Wideband Reconfigurable Integrated Low-Pass Filter for 5G Compatible Software Defined Radio Solutions

Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 734
Author(s):  
Karolis Kiela ◽  
Marijan Jurgo ◽  
Vytautas Macaitis ◽  
Romualdas Navickas
Keyword(s):  
Software Defined Radio ◽  
Dynamic Range ◽  
Noise Figure ◽  
Harmonic Distortion ◽  
Cmos Process ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Filter Performance ◽  
Low Pass ◽  
Bandwidth Tuning

This article presents a wideband reconfigurable integrated low-pass filter (LPF) for 5G NR compatible software-defined radio (SDR) solutions. The filter uses Active-RC topology to achieve high linearity performance. Its bandwidth can be tuned from 2.5 MHz to 200 MHz, which corresponds to a tuning ratio of 92.8. The order of the filter can be changed between the 2nd, 4th, or 6th order; it has built-in process, voltage, and temperature (PVT) compensation with a tuning range of ±42%; and power management features for optimization of the filter performance across its entire range of bandwidth tuning. Across its entire order, bandwidth, and power configuration range, the filter achieves in-band input-referred third-order intercept point (IIP3) between 32.7 dBm and 45.8 dBm, spurious free dynamic range (SFDR) between 63.6 dB and 79.5 dB, 1 dB compression point (P1dB) between 9.9 dBm and 14.1 dBm, total harmonic distortion (THD) between −85.6 dB and −64.5 dB, noise figure (NF) between 25.9 dB and 31.8 dB and power dissipation between 1.19 mW and 73.4 mW. The LPF was designed and verified using 65 nm CMOS process; it occupies a 0.429 mm2 area of silicon and uses a 1.2 V supply.

scholarly journals Ladder-Based Synthesis and Design of Low-Frequency Buffer-Based CMOS Filters

Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 2931
Author(s):  
Waldemar Jendernalik ◽  
Jacek Jakusz ◽  
Grzegorz Blakiewicz
Keyword(s):  
Dynamic Range ◽  
Low Voltage ◽  
Supply Voltage ◽  
Low Frequency ◽  
Cmos Technology ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Biomedical Sensors ◽  
Filter Synthesis ◽  
Cascade Method

Buffer-based CMOS filters are maximally simplified circuits containing as few transistors as possible. Their applications, among others, include nano to micro watt biomedical sensors that process physiological signals of frequencies from 0.01 Hz to about 3 kHz. The order of a buffer-based filter is not greater than two. Hence, to obtain higher-order filters, a cascade of second-order filters is constructed. In this paper, a more general method for buffer-based filter synthesis is developed and presented. The method uses RLC ladder prototypes to obtain filters of arbitrary orders. In addition, a set of novel circuit solutions with ultra-low voltage and power are proposed. The introduced circuits were synthesized and simulated using 180-nm CMOS technology of X-FAB. One of the designed circuits is a fourth-order, low-pass filter that features: 100-Hz passband, 0.4-V supply voltage, power consumption of less than 5 nW, and dynamic range above 60 dB. Moreover, the total capacitance of the proposed filter (31 pF) is 25% lower compared to the structure synthesized using a conventional cascade method (40 pF).

scholarly journals A CMOS Low Pass Filter for SoC Lock-in-Based Measurement Devices

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5173 ◽  
Author(s):  
Jorge Pérez-Bailón ◽  
Belén Calvo ◽  
Nicolás Medrano
Keyword(s):  
Dynamic Range ◽  
Current Trend ◽  
Cutoff Frequency ◽  
Oxide Semiconductor ◽  
Constant Current ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Compact Size ◽  
Low Pass ◽  
Lock In

This paper presents a fully integrated Gm–C low pass filter (LPF) based on a current steering Gm reduction-tuning technique, specifically designed to operate as the output stage of a SoC lock-in amplifier. To validate this proposal, a first-order and a second-order single-ended topology were integrated into a 1.8 V to 0.18 µm CMOS (Complementary Metal-Oxide-Semiconductor) process, showing experimentally a tuneable cutoff frequency that spanned five orders of magnitude, from tens of mHz to kHz, with a constant current consumption (below 3 µA/pole), compact size (<0.0140 mm2/pole), and a dynamic range better than 70 dB. Compared to state-of-the-art solutions, the proposed approach exhibited very competitive performances while simultaneously fully satisfying the demanding requirements of on-chip portable measurement systems in terms of highly efficient area and power. This is of special relevance, taking into account the current trend towards multichannel instruments to process sensor arrays, as the total area and power consumption will be proportional to the number of channels.

Electrical Synapses Between AII Amacrine Cells: Dynamic Range and Functional Consequences of Variation in Junctional Conductance

2008 ◽  
Vol 100 (6) ◽  
pp. 3305-3322 ◽  
Author(s):  
Margaret Lin Veruki ◽  
Leif Oltedal ◽  
Espen Hartveit
Keyword(s):  
Dynamic Range ◽  
Amacrine Cells ◽  
Electrical Synapses ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Junctional Conductance ◽  
Coupled Cells ◽  
Functional Consequences ◽  
Aii Amacrine Cells ◽  
Aii Amacrine

AII amacrine cells form a network of electrically coupled interneurons in the mammalian retina and tracer coupling studies suggest that the junctional conductance ( Gj) can be modulated. However, the dynamic range of Gj and the functional consequences of varying Gj over the dynamic range are unknown. Here we use whole cell recordings from pairs of coupled AII amacrine cells in rat retinal slices to provide direct evidence for physiological modulation of Gj, appearing as a time-dependent increase from about 500 pS to a maximum of about 3,000 pS after 30–90 min of recording. The increase occurred in recordings with low- but not high-resistance pipettes, suggesting that it was related to intracellular washout and perturbation of a modulatory system. Computer simulations of a network of electrically coupled cells verified that our recordings were able to detect and quantify changes in Gj over a large range. Dynamic-clamp electrophysiology, with insertion of electrical synapses between AII amacrine cells, allowed us to finely and reversibly control Gj within the same range observed for physiologically coupled cells and to examine the quantitative relationship between Gj and steady-state coupling coefficient, synchronization of subthreshold membrane potential fluctuations, synchronization and transmission of action potentials, and low-pass filter characteristics. The range of Gj values over which signal transmission was modulated depended strongly on the specific functional parameter examined, with the largest range observed for action potential transmission and synchronization, suggesting that the full range of Gj values observed during spontaneous run-up of coupling could represent a physiologically relevant dynamic range.

Noise reduction in linear variable differential transformer data of recoil motion measurement by numerical methods

2006 ◽  
Vol 220 (2) ◽  
pp. 159-166 ◽  
Author(s):  
R M Bhatnagar
Keyword(s):  
Least Square ◽  
Residual Entropy ◽  
Linear Variable Differential Transformer ◽  
Mean Square ◽  
Recoil Velocity ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Least Square Fit ◽  
Richardson’S Extrapolation ◽  
The Mean

The measurement of recoil distance versus time by various methods such as the recoil potentiometer, photo electric transducer, slide wire, accelerometer, revolving drum system, and linear variable differential transformer (LVDT) has been used for gross muzzle brake efficiency measurements and recoil system performance evaluation by the calculation of recoil velocities. For a long recoil-length gun system, a combination of recoil potentiometer and LVDT is used extensively. In order to dispense with the use of recoil potentiometer in the above combination, the article proposes the use of the least-square-fit-based Richardson's extrapolation method and mean square velocity calculation for the accurate determination of free recoil velocity. The mean square velocity calculation is based on Parseval's theorem. The proposed method is based on the comparative evaluation of second- and third-order finite difference method, Richardson's fourth-order method, and the least-square-fit-based Richardson's extrapolation. The least-square-fit-based Richardson's extrapolation gives the lowest value of residual entropy. This is because the maximum likelihood estimators for Gauss probability distribution function and least-square estimators for the coefficients of polynomial representing recoil velocity time curve are coincident. The results of each of the four methods combined with the mean square velocity method were compared, and the least-square-fit-based Richardson's extrapolation was found to be accurate and consistent. The method can be used even when low pass filter is included in the LVDT circuit for stand-alone use.

scholarly journals An Electrically Coupled Network of Skeletal Muscle in Zebrafish Distributes Synaptic Current

2006 ◽  
Vol 128 (1) ◽  
pp. 89-102 ◽  
Author(s):  
Victor M. Luna ◽  
Paul Brehm
Keyword(s):  
Skeletal Muscle ◽  
Patch Clamp ◽  
Action Potentials ◽  
Electrical Coupling ◽  
Slow Muscle ◽  
Synaptic Current ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass ◽  
Muscle Types

Fast and slow skeletal muscle types are readily distinguished in larval zebrafish on the basis of differences in location and orientation. Additionally, both muscle types are compact, rendering them amenable to in vivo patch clamp study of synaptic function. Slow muscle mediates rhythmic swimming, but it does so purely through synaptic drive, as these cells are unable to generate action potentials. Our patch clamp recordings from muscle pairs of zebrafish reveal a network of electrical coupling in slow muscle that allows sharing of synaptic current within and between segmental boundaries of the tail. The synaptic current exhibits slow kinetics (τdecay ∼4 ms), which further facilitates passage through the low pass filter, a consequence of the electrically coupled network. In contrast to slow muscle, fast skeletal muscle generates action potentials to mediate the initial rapid component of the escape response. The combination of very weak electrical coupling and synaptic kinetics (τdecay &lt;1 ms) too fast for the network low pass filter minimizes intercellular sharing of synaptic current in fast muscle. These differences between muscle types provide insights into the physiological role(s) of electrical coupling in skeletal muscle. First, intrasegmental coupling among slow muscle cells allows effective transfer of synaptic currents within tail segments, thereby minimizing differences in synaptic depolarization. Second, a fixed intersegmental delay in synaptic current transit, resulting from the low pass filter properties of the slow muscle network, helps coordinate the rostral–caudal wave of contraction.

scholarly journals 0.5 V Fifth-Order Butterworth Low-Pass Filter Using Multiple-Input OTA for ECG Applications

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7343
Author(s):  
Montree Kumngern ◽  
Nattharinee Aupithak ◽  
Fabian Khateb ◽  
Tomasz Kulej
Keyword(s):  
Power Consumption ◽  
Dynamic Range ◽  
Oxide Semiconductor ◽  
Cmos Process ◽  
Subthreshold Region ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Multiple Input ◽  
Low Pass ◽  
Fifth Order

This paper presents a 0.5 V fifth-order Butterworth low-pass filter based on multiple-input operational transconductance amplifiers (OTA). The filter is designed for electrocardiogram (ECG) acquisition systems and operates in the subthreshold region with nano-watt power consumption. The used multiple-input technique simplifies the overall structure of the OTA and reduces the number of active elements needed to realize the filter. The filter was designed and simulated in the Cadence environment using a 0.18 µm Complementary Metal Oxide Semiconductor (CMOS) process from Taiwan Semiconductor Manufacturing Company (TSMC). Simulation results show that the filter has a bandwidth of 250 Hz, a power consumption of 34.65 nW, a dynamic range of 63.24 dB, attaining a figure-of-merit of 0.0191 pJ. The corner (process, voltage, temperature: PVT) and Monte Carlo (MC) analyses are included to prove the robustness of the filter.

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