A versatile all-channel stimulator for electrode arrays, with real-time control

Over the last few decades, technology to record through ever increasing numbers of electrodes has become available to electrophysiologists. For the study of distributed neural processing, however, the ability to stimulate through equal numbers of electrodes, and thus to attain bidirectional communication, is of paramount importance. Here, we present a stimulation system for multi-electrode arrays which interfaces with existing commercial recording hardware, and allows stimulation through any electrode in the array, with rapid switching between channels. The system is controlled through real-time Linux, making it extremely flexible: stimulation sequences can be constructed on-the-fly, and arbitrary stimulus waveforms can be used if desired. A key feature of this design is that it can be readily and inexpensively reproduced in other labs, since it interfaces to standard PC parallel ports and uses only off-the-shelf components. Moreover, adaptation for use with in vivo multi-electrode probes would be straightforward. In combination with our freely available data-acquisition software, MeaBench, this system can provide feedback stimulation in response to recorded action potentials within 15 ms

Persistent dynamic attractors in activity patterns of cultured neuronal networks

Three remarkable features of the nervous system—complex spatiotemporal patterns, oscillations, and persistent activity—are fundamental to such diverse functions as stereotypical motor behavior, working memory, and awareness. Here we report that cultured cortical networks spontaneously generate a hierarchical structure of periodic activity with a strongly stereotyped population-wide spatiotemporal structure demonstrating all three fundamental properties in a recurring pattern. During these "superbursts," the firing sequence of the culture periodically converges to a dynamic attractor orbit. Precursors of oscillations and persistent activity have previously been reported as intrinsic properties of the neurons. However, complex spatiotemporal patterns that are coordinated in a large population of neurons and persist over several hours—and thus are capable of representing and preserving information—cannot be explained by known oscillatory properties of isolated neurons. Instead, the complexity of the observed spatiotemporal patterns implies large-scale self-organization of neurons interacting in a precise temporal order even in vitro, in cultures usually considered to have random connectivity

Modelling of heat emitters embedded within third order lumped parameter building envelope model

A dynamic modelling approach for heat emitters embedded within an existing third order lumped parameter building envelope model is reported in this work. The model has been found to provide more accurate results with negligible expense of computational time compared to a conventional quasi-dynamic model. The dynamic model also is preferred over the quasi-dynamic model as it allows for modelling emitters with high thermal capacity such as under-floor heating. Recommendation for this approach is justified through a series of analyses and comparative tests for various circuit options, timesteps and control volumes

Shear Wave EMAT Thickness Measurements of Low Carbon Steel at 450˚C without Cooling

Ensuring reliability of components operating at high temperature, such as pipelines and boilers, within a variety of industries is of importance in the asset management process, and is implemented via regular inspections and condition monitoring. Performing online inspections without the need for plant shutdown is highly desirable. Development of portable or permanently installed high temperature ultrasonic sensors without sample surface preparation remains a key challenge. There are examples of high temperature piezoelectric sensors operating without cooling, but these usually require welding or brazing. Actively cooled electromagnetic acoustic transducers (EMATs) have previously been used for thickness measurements and defect detection to over 1000 ˚C. High temperature EMAT operation requires active cooling for permanent magnet EMATs [1] or a large electromagnet [2], limiting their use in some industrial settings. Low carbon steel pipelines operating at elevated temperatures often develop a magnetostrictive oxide surface coating (magnetite), which greatly improves EMAT efficiency below the Curie point of the magnetite (~560 ˚C), and we are able to take advantage of this if we can indefinitely operate an EMAT at elevated temperature. In this work, a high temperature shear wave EMAT utilizing a proprietary high field, high Curie point, permanent magnet has been developed to generate ultrasonic thickness measurements on magnetite coated steel at temperatures up to 450 ˚C, without active cooling. Exploiting the high efficiency possible on magnetite coated surfaces, relatively high signal-to-noise ratios, in the region of 25 dB for single shot data, have been measured at 450 ˚C using this technique, despite increased ultrasound attenuation and reduced magnet field strength at elevated temperatures

The 2011 February superoutburst of the dwarf nova SDSS J112003.40+663632.4

We report unfiltered photometry of SDSS J112003.40+663632.4 during the 2011 February outburst which revealed the presence of superhumps with peak-to-peak amplitude of up to 0.22 magnitudes showing this to be an SU UMa type dwarf nova. The outburst amplitude was 5.4 magnitudes above mean quiescence and it lasted at least 12 days. The mean superhump period during the plateau phase was Psh = 0.07057(19) d.Comment: Accepted for publication in the Journal of the British Astronomical Association. 12 pages, 5 figure

MeaBench: A toolset for multi-electrode data acquisition and on-line analysis

We present a software suite, MeaBench, for data acquisition and online analysis of multi-electrode recordings, especially from micro-electrode arrays. Besides controlling data acquisition hardware, MeaBench includes algorithms for real-time stimulation artifact suppression and spike detection, as well as programs for online display of voltage traces from 60 electrodes and continuously updated spike raster plots. MeaBench features real-time output streaming, allowing easy integration with stimulator systems. We have been able to generate stimulation sequences in response to live neuronal activity with less than 20 ms lag time. MeaBench is open-source software, and is available for free public download at http://www.its.caltech.edu/~pinelab/wagenaar/meabench.html