A central goal of systems neuroscience is to simultaneously measure the activities of all achievable neurons in the brain at millisecond resolution in freely moving animals. This paper describes a protocol converter which is part of a measurement acquisition system for multichannel real time recording of brain signals. In practice, in such techniques, a primary consideration of reliability leads to great necessity towards increasing the sampling rate of these signals while simultaneously increasing the resolution of A/D conversion to 24 bits or even to the unprecedented 32 bits per sample. In fact, this was the guiding principle for our team in the present study. By increasing the temporal and amplitude resolution, it is supposed that we get enabled to discover or recognize and identify new signal components which have previously been masked at a "low" temporal and amplitude resolution, and these new signal components, in the future, are likely to contribute to a deeper understanding of the workings of the brain.
When speaking about high speed transfer, generally one thinks of 1-10 Gbps throughput. At the same time in case of a low performance device, 10-20 Mibps is also considered as high speed. The present case discusses the MOD5270 Ethernet module by Netburner Inc. for the 147,5 MHz processor of which it was a challenge to achieve this speed. The plan was to achieve 48 Mibps, however, according to the manufacturer this device is capable of reaching only about half of this speed. This fact was proven over TCP, so only the UDP was able to fulfill the given requirements. In that case the task was to recover the lost packets, therefore our own protocol was developed.
In computer networks data flows can often reach transfer rates of several Gigabits per second. On the other hand most embedded systems have additional criteria -power consumption, size, low cost, generated heat -which usually means that even a flow rate of several Megabits per second is difficult to reach. This paper reports on the development of an automated embedded system for data transfers of up to 47Mib/s using two customized embedded 68k/Coldfire RISC microprocessors.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.