About: Universal Audio is a based out in . It is known for research contribution in the topics: Bioamplifier & Software. The organization has 4 authors who have published 4 publications receiving 1 citations.
TL;DR: Piphys as discussed by the authors is an inexpensive open source neurophysiological recording platform that consists of both hardware and software, which is easily accessed and controlled via a standard web interface through Internet of Things (IoT) protocols.
Abstract: Objective Neural activity represents a functional readout of neurons that is increasingly important to monitor in a wide range of experiments. Extracellular recordings have emerged as a powerful technique for measuring neural activity because these methods do not lead to the destruction or degradation of the cells being measured. Current approaches to electrophysiology have a low throughput of experiments due to manual supervision and expensive equipment. This bottleneck limits broader inferences that can be achieved with numerous long-term recorded samples. Approach We developed Piphys, an inexpensive open source neurophysiological recording platform that consists of both hardware and software. It is easily accessed and controlled via a standard web interface through Internet of Things (IoT) protocols. Main results We used a Raspberry Pi as the primary processing device along with an Intan bioamplifier. We designed a hardware expansion circuit board and software to enable voltage sampling and user interaction. This standalone system was validated with primary human neurons, showing reliability in collecting neural activity in near real-time. Significance The hardware modules and cloud software allow for remote control of neural recording experiments as well as horizontal scalability, enabling long-term observations of development, organization, and neural activity at scale.
TL;DR: Piphys as mentioned in this paper is an inexpensive open source neurophysiological recording platform that consists of both hardware and software, which is easily accessed and controlled via a standard web interface through Internet of Things (IoT) protocols.
Abstract: Objective Neural activity represents a functional readout of neurons that is increasingly important to monitor in a wide range of experiments. Extracellular recordings have emerged as a powerful technique for measuring neural activity because these methods do not lead to the destruction or degradation of the cells being measured. Current approaches to electrophysiology have a low throughput of experiments due to manual supervision and expensive equipment. This bottleneck limits broader inferences that can be achieved with numerous long-term recorded samples. Approach We developed Piphys, an inexpensive open source neurophysiological recording platform that consists of both hardware and software. It is easily accessed and controlled via a standard web interface through Internet of Things (IoT) protocols. Main Results We used a Raspberry Pi as the primary processing device and Intan bioamplifier. We designed a hardware expansion circuit board and software to enable voltage sampling and user interaction. This standalone system was validated with primary human neurons, showing reliability in collecting real-time neural activity. Significance The hardware modules and cloud software allow for remote control of neural recording experiments as well as horizontal scalability, enabling long-term observations of development, organization, and neural activity at scale.
TL;DR: In this paper, the propagation of energy through a mechanical spring is simulated using dispersive waveguides, wherein left-going and right-going waves are separately processed, and the effects of dispersion and attenuation commuted to the waveguide ends.
Abstract: The present invention relates to audio signal processing, and more particularly to methods and apparatuses for emulating and controlling various features of mechanical spring reverberation in a digital audio processing system. According to certain aspects of the invention, such an emulation is performed so as to enhance or alter the characteristics of a digitally stored or processed audio signal in substantially the same manner as a mechanical spring reverberation system. In one example embodiment, the propagation of energy through a mechanical spring is simulated using dispersive waveguides, wherein left-going and right-going waves are separately processed, and the effects of dispersion and attenuation commuted to the waveguide ends. According to additional aspects, many spring reverberators contain spring elements arranged in parallel, with no coupling between springs. Accordingly, in another embodiment of the present invention, such reverberators are modeled using a set of waveguide structures, arranged in parallel, and tuned to simulate the dispersion and attenuation of the torsional propagation modes of each of the individual spring elements. According to further aspects, reverberators occasionally have spring elements comprised of spring segments connected in series. Accordingly, in yet another embodiment of the invention, such arrangements are emulated using dispersive waveguide structures with scattering junctions between modeled spring segments. According to still other embodiments of the invention, both longitudinal and torsional waves are simulated so as to produce a widening over time of successive arrivals at the simulated pick-up, to thereby account for the difference in propagation speed between the torsional and longitudinal modes.
TL;DR: In this paper, a device, system, and method for modeling microphones and a microphone sound-isolation baffle that can be used with microphone modeling is presented, which can account for the effects of a microphone modeled with a microphone SIS baffle and reduce unwanted audio coloration.
Abstract: A device, system, and method for modeling microphones and a microphone sound-isolation baffle that can be used with microphone modeling The microphone modeling device, system, and method, can account for the effects of a microphone modeled with a microphone sound-isolation baffle and reduce unwanted audio coloration The microphone model can work with single-capsule and dual-capsule microphones with the dual-capsule modeling able to achieve greater off-axis rejection and reduced off-axis coloration The microphone modeling microphone sound-isolation baffle can attach to a specific reference microphone used for microphone modeling The microphone sound-isolation baffle can be designed so the filter only attaches at a predetermined distance and at a predetermined rotational angle with respect to the microphone