DocumentCode :
3421886
Title :
A digital methodology integrating experimental and theoretical neuroscience
Author :
Snider, R.K. ; Lukes, A.J. ; Zhu, Y. ; Miller, J.P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Montana State Univ., Bozeman, MT, USA
fYear :
2003
fDate :
20-22 March 2003
Firstpage :
376
Lastpage :
379
Abstract :
A digital methodology integrating experimental and theoretical neuroscience is being developed by the creation of a reconfigurable on-line modeling platform (ROMP). The platform will perform real-time analysis of multi-channel data streams for data-driven neural simulations and modeling. The computational architecture is a distributed real-time system of modular design consisting of computational nodes that contain a floating-point digital signal processor (DSP) and a field programmable gate array (FPGA). Configuring the system as a multi-dimensional mesh will allow it to scale in order to process an arbitrary number of real-time data streams. The platform will be used to aid the discovery process where neural encoding schemes through which sensory information is represented and transmitted within a nervous system will be uncovered. The system will enable real-time decoding of neural information streams and it will allow neuronal models to be inserted in simple nervous systems. Allowing experimental perturbation of neural signals while in transit between peripheral and central processing stages will provide an unprecedented degree of interactive control in the analysis of neural function, and could lead to major insights into the biological basis of neural computation.
Keywords :
field programmable gate arrays; floating point arithmetic; neural nets; neurophysiology; FPGA; computational architecture; data-driven neural simulations; distributed real-time system; field programmable gate array; floating-point digital signal processor; modular design; multi-channel data streams; neural computation; neural encoding; neural modeling; neuroscience; real-time analysis; real-time data streams; real-time decoding; reconfigurable computing; reconfigurable on-line modeling platform; Analytical models; Computational modeling; Computer architecture; Data analysis; Distributed computing; Field programmable gate arrays; Nervous system; Neuroscience; Performance analysis; Real time systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Engineering, 2003. Conference Proceedings. First International IEEE EMBS Conference on
Print_ISBN :
0-7803-7579-3
Type :
conf
DOI :
10.1109/CNE.2003.1196839
Filename :
1196839
Link To Document :
بازگشت