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Jun Cheng - One of the best experts on this subject based on the ideXlab platform.

  • generating Cycle flow between dark and light zones with double paddlewheels to improve microalgal growth in a flat plate photo bioreactor
    Bioresource Technology, 2018
    Co-Authors: Jun Cheng, Jianzhong Liu, Junhu Zhou
    Abstract:

    Abstract Double paddlewheels were proposed to generate Cycle flow for increasing horizontal fluid velocity between dark and light zones in a flat plate photo-bioreactor, which strengthened the mass transfer and the mixing effect to improve microalgal growth with 15% CO 2 . Numerical fluid dynamics were used to simulate the Cycle flow field with double paddlewheels. The local flow field measured with particle image velocimetry fitted well with the numerical simulation results. The horizontal fluid velocity in the photo-bioreactor was markedly increased from 5.8 × 10 −5  m/s to 0.45 m/s with the rotation of double paddlewheels, resulting in a decreased dark/light Cycle Period. Therefore, bubble formation time and diameter reduced by 24.4% and 27.4%, respectively. Meanwhile, solution mixing time reduced by 31.3% and mass transfer coefficient increased by 41.2%. The biomass yield of microalgae Nannochloropsis Oceanic increased by 127.1% with double paddlewheels under 15% CO 2 condition.

  • serial lantern shaped draft tube enhanced flashing light effect for improving co 2 fixation with microalgae in a gas lift circumflux column photobioreactor
    Bioresource Technology, 2018
    Co-Authors: Qing Ye, Jun Cheng, Junchen Xu, Ke Li, Junhu Zhou
    Abstract:

    Abstract A novel serial lantern-shaped draft tube (LDT) that generates vortices is proposed to increase radial velocity between dark and light regions for improving CO2 fixation with microalgae in a gas-lift circumflux column (GCC) photobioreactor. Clockwise vortices are generated in the downflow outerloop of the GCC photobioreactor with LDT. Radial velocity was improved from 1.50 to 4.35 × 10−2 m/s, thereby decreased liquid Cycle Period between dark and light regions by 1.9 times. Mixing time decreased by 21%, and mass transfer coefficient increased by 26% with LDT. Liquid radial velocity in the downflow outerloop and mass transfer coefficient in the GCC photobioreactor both first increased and then decreased when single-lantern height was increased. Peak CO2 fixation rate increased from 0.62 to 0.87 g/L/d, microalgal biomass yield increased by 50%. Removal efficiencies of pollutants (chemical oxygen demand, ammonium, tilmicosin, and ethinylestradiol) in wastewater were 62–90% with microalgae growth in GCC photobioreactor with LDT.

  • decrease in light dark Cycle of microalgal cells with computational fluid dynamics simulation to improve microalgal growth in a raceway pond
    Bioresource Technology, 2016
    Co-Authors: Zongbo Yang, Jun Cheng, Jianzhong Liu, Junhu Zhou, Kefa Cen
    Abstract:

    In this study, computational fluid dynamics (CFD) was used to systemically analyze the movement of algae in a vortex flow field produced by up-down chute baffles. The average cell light/dark (L/D) Cycle Period, vertical fluid velocity, fraction of time the algae was resides in light zone and the L/D Cycle Period were investigated under different paddlewheel speeds and microalgal concentrations. Results showed that the L/D Cycle Period decreased but the vertical fluid velocity increased when the up-down chute baffles were used. The L/D Cycle Period decreased by 24% (from 5.1s to 3.9s), and vertical fluid velocity increased by 75% when up-down chute baffles were used with paddlewheel speed of 30r/min. The probability of L/D Cycle Period of 3s increased by 52% from 0.29 to 0.44 with the up-down chute baffles. This led to approximately 22% increase in biomass yield without changing the paddlewheel speed.

  • enhanced solution velocity between dark and light areas with horizontal tubes and triangular prism baffles to improve microalgal growth in a flat panel photo bioreactor
    Bioresource Technology, 2016
    Co-Authors: Jun Cheng
    Abstract:

    Novel horizontal tubes and triangular prism (HTTP) baffles that generate flow vortices were developed to increase solution velocity between dark and light areas and thus improve microalgal growth in a flat-panel photo-bioreactor. Solution velocity, mass-transfer coefficient, and mixing time were measured with a particle-imaging velocimeter, dissolved oxygen probes, and pH probes. The solution mass-transfer coefficient increased by 30% and mixing time decreased by 21% when the HTTP baffles were used. The solution velocity between dark and light areas increased from ∼0.9cm/s to ∼3.5cm/s, resulting in a decreased dark-light Cycle Period to one-fourth. This enhanced flashing light effect with the HTTP baffles dramatically increased microalgae biomass yield by 70% in the flat-panel photo-bioreactor.

  • enhanced flashing light effect with up down chute baffles to improve microalgal growth in a raceway pond
    Bioresource Technology, 2015
    Co-Authors: Jun Cheng, Zongbo Yang, Junhu Zhou, Kefa Cen
    Abstract:

    Abstract Novel up-down chute baffles that sequentially generate clockwise and anticlockwise liquid vortexes were developed to increase vertical liquid velocity between the bottom dark area and the top light area in a raceway pond. The vertical liquid velocity, mixing time, and mass transfer coefficient were measured as functions of paddlewheel speed and air aeration rate by using a particle imaging velocimeter, pH probes, and dissolved oxygen probes. The up-down chute baffles decreased the liquid mixing time and increased the mass transfer coefficient by 41% and 25%, respectively. Besides, the vertical liquid velocity increased from ∼0.5 cm/s to ∼6.1 cm/s. As a result, the dark–light Cycle Period was reduced to 1/12. This enhanced flashing light effect with up-down chute baffles increased biomass yield by 32.6% in the same raceway pond.

Edwin J Reichmann - One of the best experts on this subject based on the ideXlab platform.

  • erratum evidence that a deep meridional flow sets the sunspot Cycle Period apj 589 665 2003
    The Astrophysical Journal, 2004
    Co-Authors: David H. Hathaway, Robert M. Wilson, Dibyendu Nandy, Edwin J Reichmann
    Abstract:

    An error was made in entering the data used in Figure 6. This changes the results concerning the length of the time lag between the variations in the meridional flow speed and those in the Cycle amplitude. The final paragraph on page 667 should read: ‘‘Finally, we study the relationship between the drift velocities and the amplitudes of the hemisphere/Cycles. In Figure 5 we compare the drift velocity at the maximum of the Cycle to the amplitude of that Cycle for that hemisphere. There is a positive (0.5) and significant (95%) correlation between the two. However, an even stronger relationship is found between the drift velocity and the amplitude of the N þ 2 Cycle. The correlation is stronger (0.7) and more significant (99%), as shown in Figure 6. This relationship is suggestive of a ‘‘memory’’ in the solar Cycle, again a property of dynamo models that use meridional circulation. Indeed, the two-Cycle lag is precisely the relationship found by Charbonneau & Dikpati (ApJ, 543, 1027 [2000]). This behavior is, however, more difficult to interpret, and we elaborate on this in the next section. In either case, these correlations only explain part of the variance in Cycle amplitude (25% for the current Cycle and 50% for the N þ 2 Cycle). Obviously, other mechanisms, such as variations in the gradient in the rotation rate, also contribute to the Cycle amplitude variations. Our investigation of possible connections between drift rates and the amplitudes of the N þ 1 and N þ 3 Cycles gives no significant correlations at these alternative time lags.’’ The revised Figure 6 and its caption are given below.

  • evidence that a deep meridional flow sets the sunspot Cycle Period
    The Astrophysical Journal, 2003
    Co-Authors: David H. Hathaway, Robert M. Wilson, Dibyendu Nandy, Edwin J Reichmann
    Abstract:

    Sunspots appear on the Sun in two bands on either side of the equator that drift toward lower latitudes as each sunspot Cycle progresses. We examine the drift of the centroid of the sunspot area toward the equator in each hemisphere from 1874 to 2002 and find that the drift rate slows as the centroid approaches the equator. We compare the drift rate at sunspot Cycle maximum with the Period of each Cycle for each hemisphere and find a highly significant anticorrelation: hemispheres with faster drift rates have shorter Periods. These observations are consistent with a meridional counterflow deep within the Sun as the primary driver of the migration toward the equator and the Period associated with the sunspot Cycle. We also find that the drift rate at maximum is significantly correlated with the amplitude of the following Cycle, a prediction of dynamo models that employ a deep meridional flow toward the equator. Our results indicate an amplitude of about 1.2 m s 1 for the meridional flow velocity at the base of the solar convection zone.

Scott L. Hooper - One of the best experts on this subject based on the ideXlab platform.

  • Behavioral/Systems/Cognitive Lobster (Panulirus interruptus) Pyloric Muscles Express the Motor Patterns of Three Neural Networks, Only One of Which Innervates the Muscles
    2015
    Co-Authors: Jeff B Thuma, Lee G. Morris, Adam L. Weaver, Scott L. Hooper
    Abstract:

    In several systems, including some well studied invertebrate “model ” preparations, rapid, rhythmic inputs drive slow muscles. In this situation muscle contractions can summate temporally between motor neuron bursts, tonically contract, and low-pass filter broad-band input. We have investigated how the muscles innervated by each motor neuron type of the rapid, rhythmic (Cycle Period,1 sec) lobster pyloric network respond when driven by previously recorded in vitro pyloric network activity from intact stomatogastric nervous systems. Under these conditions the much slower gastric mill and cardiac sac networks of the stomatogastric nervous system are also active and modify pyloric activity. All of the muscles show pyloric timed phasic contractions that ride on a sustained tonic contraction; muscle activity can range from being almost completely phasic to almost completely tonic. The modifications of pyloric neuron activity induced by gastric mill (Cycle Period,10 sec) activity result in some pyloric muscles showing prominent, gastric mill-timed, changes in either phasic or tonic contraction amplitude. The strong modification of pyloric neuron activity induced by cardiac sac (Cycle Period,60 sec) activity alters the contractions of all pyloric muscles. These changes are sufficient that for some muscles, in some preparations, the primary muscle output is cardiac sac-timed. This is the first work to examine the motor responses of all pyloric muscle classes to spontaneous stomatogastric activity and shows that the pyloric motor pattern is a complex combination of the activities of three neural networks, although only one (the pyloric) innervates the muscles. Key words: pyloric network; lobster; stomatogastric; motor pattern; muscle; invertebrate; central pattern generator; Panulirus interruptu

  • slow conductances could underlie intrinsic phase maintaining properties of isolated lobster panulirus interruptus pyloric neurons
    The Journal of Neuroscience, 2009
    Co-Authors: Scott L. Hooper, Adam L. Weaver, Einat Buchman, Jeffrey B Thuma, Kevin H Hobbs
    Abstract:

    The rhythmic pyloric network of the lobster stomatogastric system approximately maintains phase (that is, the burst durations and durations between the bursts of its neurons change proportionally) when network Cycle Period is altered by current injection into the network pacemaker (Hooper, 1997a,b). When isolated from the network and driven by rhythmic hyperpolarizing current pulses, the delay to firing after each pulse of at least one network neuron type [pyloric (PY)] varies in a phase-maintaining manner when Cycle Period is varied (Hooper, 1998). These variations require PY neurons to have intrinsic mechanisms that respond to changes in neuron activity on time scales at least as long as 2 s. Slowly activating and deactivating conductances could provide such a mechanism. We tested this possibility by building models containing various slow conductances. This work showed that such conductances could indeed support intrinsic phase maintenance, and we show here results for one such conductance, a slow potassium conductance. These conductances supported phase maintenance because their mean activation level changed, hence altering neuron postinhibition firing delay, when the rhythmic input to the neuron changed. Switching the sign of the dependence of slow-conductance activation and deactivation on membrane potential resulted in neuron delays switching to change in an anti-phase-maintaining manner. These data suggest that slow conductances or similar slow processes such as changes in intracellular Ca 2+ concentration could underlie phase maintenance in pyloric network neurons.

  • lobster panulirus interruptus pyloric muscles express the motor patterns of three neural networks only one of which innervates the muscles
    The Journal of Neuroscience, 2003
    Co-Authors: Jeff B Thuma, Lee G. Morris, Adam L. Weaver, Scott L. Hooper
    Abstract:

    In several systems, including some well studied invertebrate "model" preparations, rapid, rhythmic inputs drive slow muscles. In this situation muscle contractions can summate temporally between motor neuron bursts, tonically contract, and low-pass filter broad-band input. We have investigated how the muscles innervated by each motor neuron type of the rapid, rhythmic (Cycle Period, approximately 1 sec) lobster pyloric network respond when driven by previously recorded in vitro pyloric network activity from intact stomatogastric nervous systems. Under these conditions the much slower gastric mill and cardiac sac networks of the stomatogastric nervous system are also active and modify pyloric activity. All of the muscles show pyloric timed phasic contractions that ride on a sustained tonic contraction; muscle activity can range from being almost completely phasic to almost completely tonic. The modifications of pyloric neuron activity induced by gastric mill (Cycle Period, approximately 10 sec) activity result in some pyloric muscles showing prominent, gastric mill-timed, changes in either phasic or tonic contraction amplitude. The strong modification of pyloric neuron activity induced by cardiac sac (Cycle Period, approximately 60 sec) activity alters the contractions of all pyloric muscles. These changes are sufficient that for some muscles, in some preparations, the primary muscle output is cardiac sac-timed. This is the first work to examine the motor responses of all pyloric muscle classes to spontaneous stomatogastric activity and shows that the pyloric motor pattern is a complex combination of the activities of three neural networks, although only one (the pyloric) innervates the muscles.

  • quantification of cardiac sac network effects on a movement related parameter of pyloric network output in the lobster
    Journal of Neurophysiology, 2002
    Co-Authors: Jeff B Thuma, Scott L. Hooper
    Abstract:

    Cardiac sac network activity (Cycle Period tens of seconds to minutes) has long been known to alter pyloric network activity (Cycle Period approximately 1 s), but these effects have not been quanti...

  • Muscle Response to Changing Neuronal Input in the Lobster(Panulirus Interruptus) Stomatogastric System: Slow Muscle Properties Can Transform Rhythmic Input into Tonic Output
    The Journal of neuroscience : the official journal of the Society for Neuroscience, 1998
    Co-Authors: Lee G. Morris, Scott L. Hooper
    Abstract:

    Slow, non-twitch muscles are widespread in lower vertebrates and invertebrates and are often assumed to be primarily involved in posture or slow motor patterns. However, in several preparations, including some well known invertebrate “model” preparations, slow muscles are driven by rapid, rhythmic inputs. The response of slow muscles to such inputs is little understood. We are investigating this issue with a slow stomatogastric muscle (cpv1b) driven by a relatively rapid, rhythmic neural pattern. A simple model suggests that as Cycle Period decreases, slow muscle contractions show increasing intercontraction temporal summation and at steady state consist of phasic contractions overlying a tonic contracture. We identify five components of these contractions: total, average, tonic, and phasic amplitudes, and percent phasic (phasic amplitude divided by total amplitude). cpv1b muscle contractions induced by spontaneous rhythmic neural input in vitro consist of phasic and tonic components. Nerve stimulation at varying Cycle Periods and constant duty Cycle shows that a tonic component is always present, and at short Periods the muscle transforms rhythmic input into almost completely tonic output. Varying spike frequency, spike number, and Cycle Period show that frequency codes total, average, and tonic amplitudes, number codes phasic amplitude, and Period codes percent phasic. These data suggest that tonic contraction may be a property of slow muscles driven by rapid, rhythmic input, and in these cases it is necessary to identify the various contraction components and their neural coding. Furthermore, the parameters that code these components are interdependent, and control of slow muscle contraction is thus likely complex.

Junhu Zhou - One of the best experts on this subject based on the ideXlab platform.

  • generating Cycle flow between dark and light zones with double paddlewheels to improve microalgal growth in a flat plate photo bioreactor
    Bioresource Technology, 2018
    Co-Authors: Jun Cheng, Jianzhong Liu, Junhu Zhou
    Abstract:

    Abstract Double paddlewheels were proposed to generate Cycle flow for increasing horizontal fluid velocity between dark and light zones in a flat plate photo-bioreactor, which strengthened the mass transfer and the mixing effect to improve microalgal growth with 15% CO 2 . Numerical fluid dynamics were used to simulate the Cycle flow field with double paddlewheels. The local flow field measured with particle image velocimetry fitted well with the numerical simulation results. The horizontal fluid velocity in the photo-bioreactor was markedly increased from 5.8 × 10 −5  m/s to 0.45 m/s with the rotation of double paddlewheels, resulting in a decreased dark/light Cycle Period. Therefore, bubble formation time and diameter reduced by 24.4% and 27.4%, respectively. Meanwhile, solution mixing time reduced by 31.3% and mass transfer coefficient increased by 41.2%. The biomass yield of microalgae Nannochloropsis Oceanic increased by 127.1% with double paddlewheels under 15% CO 2 condition.

  • serial lantern shaped draft tube enhanced flashing light effect for improving co 2 fixation with microalgae in a gas lift circumflux column photobioreactor
    Bioresource Technology, 2018
    Co-Authors: Qing Ye, Jun Cheng, Junchen Xu, Ke Li, Junhu Zhou
    Abstract:

    Abstract A novel serial lantern-shaped draft tube (LDT) that generates vortices is proposed to increase radial velocity between dark and light regions for improving CO2 fixation with microalgae in a gas-lift circumflux column (GCC) photobioreactor. Clockwise vortices are generated in the downflow outerloop of the GCC photobioreactor with LDT. Radial velocity was improved from 1.50 to 4.35 × 10−2 m/s, thereby decreased liquid Cycle Period between dark and light regions by 1.9 times. Mixing time decreased by 21%, and mass transfer coefficient increased by 26% with LDT. Liquid radial velocity in the downflow outerloop and mass transfer coefficient in the GCC photobioreactor both first increased and then decreased when single-lantern height was increased. Peak CO2 fixation rate increased from 0.62 to 0.87 g/L/d, microalgal biomass yield increased by 50%. Removal efficiencies of pollutants (chemical oxygen demand, ammonium, tilmicosin, and ethinylestradiol) in wastewater were 62–90% with microalgae growth in GCC photobioreactor with LDT.

  • decrease in light dark Cycle of microalgal cells with computational fluid dynamics simulation to improve microalgal growth in a raceway pond
    Bioresource Technology, 2016
    Co-Authors: Zongbo Yang, Jun Cheng, Jianzhong Liu, Junhu Zhou, Kefa Cen
    Abstract:

    In this study, computational fluid dynamics (CFD) was used to systemically analyze the movement of algae in a vortex flow field produced by up-down chute baffles. The average cell light/dark (L/D) Cycle Period, vertical fluid velocity, fraction of time the algae was resides in light zone and the L/D Cycle Period were investigated under different paddlewheel speeds and microalgal concentrations. Results showed that the L/D Cycle Period decreased but the vertical fluid velocity increased when the up-down chute baffles were used. The L/D Cycle Period decreased by 24% (from 5.1s to 3.9s), and vertical fluid velocity increased by 75% when up-down chute baffles were used with paddlewheel speed of 30r/min. The probability of L/D Cycle Period of 3s increased by 52% from 0.29 to 0.44 with the up-down chute baffles. This led to approximately 22% increase in biomass yield without changing the paddlewheel speed.

  • enhanced flashing light effect with up down chute baffles to improve microalgal growth in a raceway pond
    Bioresource Technology, 2015
    Co-Authors: Jun Cheng, Zongbo Yang, Junhu Zhou, Kefa Cen
    Abstract:

    Abstract Novel up-down chute baffles that sequentially generate clockwise and anticlockwise liquid vortexes were developed to increase vertical liquid velocity between the bottom dark area and the top light area in a raceway pond. The vertical liquid velocity, mixing time, and mass transfer coefficient were measured as functions of paddlewheel speed and air aeration rate by using a particle imaging velocimeter, pH probes, and dissolved oxygen probes. The up-down chute baffles decreased the liquid mixing time and increased the mass transfer coefficient by 41% and 25%, respectively. Besides, the vertical liquid velocity increased from ∼0.5 cm/s to ∼6.1 cm/s. As a result, the dark–light Cycle Period was reduced to 1/12. This enhanced flashing light effect with up-down chute baffles increased biomass yield by 32.6% in the same raceway pond.

Jeff B Thuma - One of the best experts on this subject based on the ideXlab platform.

  • Behavioral/Systems/Cognitive Lobster (Panulirus interruptus) Pyloric Muscles Express the Motor Patterns of Three Neural Networks, Only One of Which Innervates the Muscles
    2015
    Co-Authors: Jeff B Thuma, Lee G. Morris, Adam L. Weaver, Scott L. Hooper
    Abstract:

    In several systems, including some well studied invertebrate “model ” preparations, rapid, rhythmic inputs drive slow muscles. In this situation muscle contractions can summate temporally between motor neuron bursts, tonically contract, and low-pass filter broad-band input. We have investigated how the muscles innervated by each motor neuron type of the rapid, rhythmic (Cycle Period,1 sec) lobster pyloric network respond when driven by previously recorded in vitro pyloric network activity from intact stomatogastric nervous systems. Under these conditions the much slower gastric mill and cardiac sac networks of the stomatogastric nervous system are also active and modify pyloric activity. All of the muscles show pyloric timed phasic contractions that ride on a sustained tonic contraction; muscle activity can range from being almost completely phasic to almost completely tonic. The modifications of pyloric neuron activity induced by gastric mill (Cycle Period,10 sec) activity result in some pyloric muscles showing prominent, gastric mill-timed, changes in either phasic or tonic contraction amplitude. The strong modification of pyloric neuron activity induced by cardiac sac (Cycle Period,60 sec) activity alters the contractions of all pyloric muscles. These changes are sufficient that for some muscles, in some preparations, the primary muscle output is cardiac sac-timed. This is the first work to examine the motor responses of all pyloric muscle classes to spontaneous stomatogastric activity and shows that the pyloric motor pattern is a complex combination of the activities of three neural networks, although only one (the pyloric) innervates the muscles. Key words: pyloric network; lobster; stomatogastric; motor pattern; muscle; invertebrate; central pattern generator; Panulirus interruptu

  • lobster panulirus interruptus pyloric muscles express the motor patterns of three neural networks only one of which innervates the muscles
    The Journal of Neuroscience, 2003
    Co-Authors: Jeff B Thuma, Lee G. Morris, Adam L. Weaver, Scott L. Hooper
    Abstract:

    In several systems, including some well studied invertebrate "model" preparations, rapid, rhythmic inputs drive slow muscles. In this situation muscle contractions can summate temporally between motor neuron bursts, tonically contract, and low-pass filter broad-band input. We have investigated how the muscles innervated by each motor neuron type of the rapid, rhythmic (Cycle Period, approximately 1 sec) lobster pyloric network respond when driven by previously recorded in vitro pyloric network activity from intact stomatogastric nervous systems. Under these conditions the much slower gastric mill and cardiac sac networks of the stomatogastric nervous system are also active and modify pyloric activity. All of the muscles show pyloric timed phasic contractions that ride on a sustained tonic contraction; muscle activity can range from being almost completely phasic to almost completely tonic. The modifications of pyloric neuron activity induced by gastric mill (Cycle Period, approximately 10 sec) activity result in some pyloric muscles showing prominent, gastric mill-timed, changes in either phasic or tonic contraction amplitude. The strong modification of pyloric neuron activity induced by cardiac sac (Cycle Period, approximately 60 sec) activity alters the contractions of all pyloric muscles. These changes are sufficient that for some muscles, in some preparations, the primary muscle output is cardiac sac-timed. This is the first work to examine the motor responses of all pyloric muscle classes to spontaneous stomatogastric activity and shows that the pyloric motor pattern is a complex combination of the activities of three neural networks, although only one (the pyloric) innervates the muscles.

  • Quantification of cardiac sac network effects on a movement-related parameter of pyloric network output in the lobster
    2003
    Co-Authors: Jeff B Thuma, L. Hooper, Jeff B
    Abstract:

    network effects on a movement-related parameter of pyloric network output in the lobster. J Neurophysiol 89: 745–753, 2003; 10.1152/jn.00631.2002. Cardiac sac network activity (Cycle Period tens of seconds to minutes) has long been known to alter pyloric network activity (Cycle Period approximately 1 s), but these effects have not been quantified. Some pyloric muscles extract cardiac sac timed variations in pyloric motor neuron firing, and consequently produce cardiac sac timed movements even though no cardiac sac neurons innervate them. Determining pyloric behavior therefore re-quires detailed description of cardiac sac effects on pyloric neural output. Pyloric muscle activity correlates well with motor neuron overall spike frequency (OSF, number of spikes per burst divided by Cycle Period). We therefore quantified the effects of cardiac sac activity on the OSF of all pyloric neurons in the lobster, Panulirus interruptus. The ventricular dilator (VD) neuron had a biphasic re-sponse, with its OSF first increasing and then decreasing during cardiac sac bursts. Lateral pyloric (LP) neuron OSF decreased during cardiac sac activity. The pyloric (PY) neurons had two responses, with OSF either decreasing or increasing just after the beginning of cardiac sac activity. The pyloric dilator (PD) neurons had a triphasic response, with OSF increasing slightly at the beginning of cardiac sac activity, decreasing during the cardiac sac burst, and strongly increasing after cardiac sac activity ended. The inferior cardiac (IC) neuron had a biphasic response, with OSF decreasing at the beginning of cardiac sac activity and strongly increasing when cardiac sac activity ceased. These data provide the quantitative description of cardiac sac effects on pyloric activity necessary to predict pyloric movement from pylo-ric neural output

  • quantification of cardiac sac network effects on a movement related parameter of pyloric network output in the lobster
    Journal of Neurophysiology, 2002
    Co-Authors: Jeff B Thuma, Scott L. Hooper
    Abstract:

    Cardiac sac network activity (Cycle Period tens of seconds to minutes) has long been known to alter pyloric network activity (Cycle Period approximately 1 s), but these effects have not been quanti...