Control of tumbling during the locust jump.

Locust can jump precisely to a target, yet they can also tumble during the trajectory. We propose two mechanisms that would allow the locust to control tumbling during the jump. The first is that prior to the jump, locusts adjust the pitch of their body to move the center of mass closer to the intended thrust vector. The second is that contraction of the dorsolongitudinal muscles during the jump will produce torques that counter the torque produced by thrust. We found that locusts increased their take-off angle as the initial body pitch increased, and that little tumbling occurred for jumps that observed this relationship. Simulations of locust jumping demonstrated that a pitch versus take-off angle relationship that minimized tumbling in simulated jumps was similar to the relationship observed in live locusts. Locusts were strongly biased to pitch head-upward, and performed dorsiflexions far more often than ventral flexions. The direction and magnitude of tumbling could be controlled in simulations by adjusting the tension in the dorsolongitudinal muscles. These mechanisms allowed the simulations to match the data from the live animals. Control of tumbling was also found to influence the control of jump elevation. The bias to pitch head-upwards may have an evolutionary advantage when evading a predator and so make control of tumbling important for the locust.

AnimatLab: a 3D graphics environment for neuromechanical simulations.

The nervous systems of animals evolved to exert dynamic control of behavior in response to the needs of the animal and changing signals from the environment. To understand the mechanisms of dynamic control requires a means of predicting how individual neural and body elements will interact to produce the performance of the entire system. AnimatLab is a software tool that provides an approach to this problem through computer simulation. AnimatLab enables a computational model of an animal's body to be constructed from simple building blocks, situated in a virtual 3D world subject to the laws of physics, and controlled by the activity of a multicellular, multicompartment neural circuit. Sensor receptors on the body surface and inside the body respond to external and internal signals and then excite central neurons, while motor neurons activate Hill muscle models that span the joints and generate movement. AnimatLab provides a common neuromechanical simulation environment in which to construct and test models of any skeletal animal, vertebrate or invertebrate. The use of AnimatLab is demonstrated in a neuromechanical simulation of human arm flexion and the myotactic and contact-withdrawal reflexes.

Electrical coupling synchronises spinal motoneuron activity during swimming in hatchling Xenopus tadpoles.

The role of electrical coupling between neurons in the swimming rhythm generator of Xenopus embryos has been studied using pharmacological blockade of gap junctions. A conspicuous effect of 18beta-glycyrrhetinic acid (18beta-GA) and carbenoxolone, which have been shown to block electrical coupling in this preparation, was to increase the duration of ventral root bursts throughout the spinal cord during swimming. The left-right coordination, the swimming frequency and the duration of swimming episodes were not affected by concentrations of 18beta-GA which significantly increased burst durations. However, the longitudinal coupling was affected such that 18beta-GA led to a significant correlation between rostrocaudal delays and cycle periods, which is usually only present in older larval animals. Patch clamp recordings from spinal motoneurons tested whether gap junction blockers affect the spike timing and/or firing pattern of motoneurons during fictive swimming. In the presence of 18beta-GA motoneurons continued to fire a single, but broader action potential in each cycle of swimming, and the timing of their spikes relative to the ventral root burst became more variable. 18beta-GA had no detectable effect on the resting membrane potential of motoneurons, but led to a significant increase in input resistance, consistent with the block of gap junctions. This effect did not result in increased firing during swimming, despite the fact that multiple spikes can occur in response to current injection. Applications of 18beta-GA at larval stage 42 had no discernible effect on locomotion. The results, which suggest that electrical coupling primarily functions to synchronize activity in synergistic motoneurons during embryo swimming, are discussed in the context of motor system development.

Nitric oxide modulation of the electrically excitable skin of Xenopus laevis frog tadpoles.

Nitric oxide (NO) is a highly diffusible signalling molecule with widespread effects on the integrative electrical properties of a variety of neuronal and muscle cells. We have explored the effects of NO on the cardiac-like impulse generated by skin cells of the hatchling Xenopus tadpole. Skin cell impulses propagate from cell to cell via gap junctions and form an unusual sensory system, which triggers escape behaviour at early stages of amphibian development. We show that the NO donor S-nitroso-N-acetylpenicillamine (SNAP) increases the duration of the skin impulse and slows the rate of impulse propagation across the skin, and also produces a significant depolarization of the membrane potential of skin cells. Each of these effects of SNAP is significantly reversed by the NO scavenger, C-PTIO. Possible sources of NO have been investigated using both NADPH-diaphorase histochemistry and nNOS immunocytochemistry to label the enzyme nitric oxide synthase (NOS), and DAF-2 to label NO itself. In each case a punctate distribution of skin cells is labelled, indicating that the endogenous production of NO may regulate the properties of the skin impulse.

DataView: A Tutorial Tool for Data Analysis. Template-based Spike Sorting and Frequency Analysis.

DataView is a Windows program for viewing and analyzing digital data derived from analog signals using A/D acquisition systems. It is primarily designed for research neuroscientists, but its low (or zero) cost makes it a suitable tool for giving students hands-on experience of analysis techniques. It is supplied with many examples of pre-recorded data and also has facilities to allow tutors to use their own - or indeed their students' - experimental results as the dataset for analysis. This article illustrates the use of DataView with a brief tutorial on template-based spike sorting and frequency analysis. The DataView manual contains detailed instructions and sample datasets for a wide range of other analytical and data-manipulation techniques.