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An open-source realtime computational platform (short WIP paper)
- Source :
- LCTES
- Publication Year :
- 2018
- Publisher :
- ACM, 2018.
-
Abstract
- Systems neuroscience studies involving in-vivo models often require realtime data processing. In these studies, many events must be monitored and processed quickly, including behavior of the subject (e.g., movement of a limb) or features of neural data (e.g., a neuron transmitting an action potential). Unfortunately, most realtime platforms are proprietary, require specific architectures, or are limited to low-level programming languages. Here we present a hardware-independent, open-source realtime computation platform that supports high-level programming. The resulting platform, LiCoRICE, can process on order 10e10 bits/sec of network data at 1 ms ticks with 18.2 µs jitter. It connects to various inputs and outputs (e.g., DIO, Ethernet, database logging, and analog line in/out) and minimizes reliance on custom device drivers by leveraging peripheral support via the Linux kernel. Its modular architecture supports model-based design for rapid prototyping with C and Python/Cython and can perform numerical operations via BLAS/LAPACK-optimized NumPy that is statically compiled via Numba’s pycc. LiCoRICE is not only suitable for systems neuroscience research, but also for applications requiring closed-loop realtime data processing from robotics and control systems to interactive applications and quantitative financial trading.
- Subjects :
- Rapid prototyping
business.industry
Computer science
NumPy
0206 medical engineering
Robotics
Linux kernel
02 engineering and technology
Python (programming language)
020601 biomedical engineering
03 medical and health sciences
0302 clinical medicine
Embedded system
Artificial intelligence
business
computer
030217 neurology & neurosurgery
computer.programming_language
Jitter
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 19th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems
- Accession number :
- edsair.doi...........be1c66fe1801e8e19c05acca96b4647b