Algorithms for real-time prediction in neural systems

被引：0
|
作者：
Stanley, GB [1 ]
机构：
[1] Harvard Univ, Div Engn & Appl Sci, Cambridge, MA 02138 USA
来源：
PROCEEDINGS OF THE 22ND ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4 | 2000年 / 22卷
关键词：
neural systems; prediction; real-time;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
A variety of off-line techniques have been developed for the identification of neural system dynamics. These techniques have provided a tremendous amount of insight into the function of a number of sensory systems. However, as the promise of engineered interfaces for the central nervous system grows, there is an increasing need for real-time algorithms for prediction and control in neural systems. This paper describes a recursive algorithm for the real-time prediction of neural activity from the sensory stimulus, which is a critical step towards the development of intelligent interfaces for the nervous system.
引用
收藏
页码：1431 / 1431
页数：1
相关论文
共 50 条
  • [1] Scheduling algorithms for multiprocessor real-time systems
    Zhang, LC
    Huang, JW
    Zheng, Y
    [J]. ICICS - PROCEEDINGS OF 1997 INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATIONS AND SIGNAL PROCESSING, VOLS 1-3: THEME: TRENDS IN INFORMATION SYSTEMS ENGINEERING AND WIRELESS MULTIMEDIA COMMUNICATIONS, 1997, : 1470 - 1474
  • [2] A Survey on Scheduling Algorithms in Real-Time Systems
    Hantom, Wafa
    Aldweesh, Alanoud
    Alzaher, Reem
    Atta-ur-Rahman
    [J]. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2022, 22 (04): : 686 - 690
  • [3] Classification of scheduling algorithms for real-time systems
    Khloudova, MV
    [J]. INTERNATIONAL WORKSHOP ON NONDESTRUCTIVE TESTING AND COMPUTER SIMULATIONS IN SCIENCE AND ENGINEERING, 1999, 3687 : 228 - 231
  • [4] Scheduling algorithms for real-time agent systems
    Lin, KJ
    Peng, CS
    [J]. SIXTH INTERNATIONAL WORKSHOP ON RESEARCH ISSUES IN DATA ENGINEERING, PROCEEDINGS: INTEROPERABILITY OF NONTRADITIONAL DATABASE SYSTEMS, 1996, : 32 - 41
  • [5] Scheduling algorithms for parallel real-time systems
    Zhang, LC
    Huang, JW
    Zheng, Y
    [J]. 1997 IEEE PACIFIC RIM CONFERENCE ON COMMUNICATIONS, COMPUTERS AND SIGNAL PROCESSING, VOLS 1 AND 2: PACRIM 10 YEARS - 1987-1997, 1997, : 968 - 971
  • [6] Algorithms for dependable hard real-time systems
    Puschner, P
    [J]. EIGHTH IEEE INTERNATIONAL WORKSHOP ON OBJECT-ORIENTED REAL-TIME DEPENDABLE SYSTEMS, PROCEEDINGS, 2003, : 26 - 31
  • [7] REAL-TIME IMPLEMENTATION OF PREDICTION ALGORITHMS FOR AN INDUSTRIAL APPLICATION
    CATCHPOLE, JL
    SARHADI, M
    [J]. CA-DSP 89, VOLS 1 AND 2: 1989 INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE AND DIGITAL SIGNAL PROCESSING, 1989, : 120 - 125
  • [8] Designing Neural Networks for Real-Time Systems
    Pearce, Hammond
    Yang, Xin
    Roop, Partha S.
    Katzef, Marc
    Strom, Torur Biskopsto
    [J]. IEEE EMBEDDED SYSTEMS LETTERS, 2021, 13 (03) : 94 - 97
  • [9] Real-Time Stock Prediction using Neural Network
    Shakya, Abin
    Pokhrel, Anuj
    Bhattarai, Ashuta
    Sitikhu, Pinky
    Shakya, Subarna
    [J]. PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE CONFLUENCE 2018 ON CLOUD COMPUTING, DATA SCIENCE AND ENGINEERING, 2018, : 71 - 74
  • [10] A Reconfigurable Architecture for Real-Time Prediction of Neural Activity
    Li, Will X. Y.
    Cheung, Ray C. C.
    Chan, Rosa H. M.
    Song, Dong
    Berger, Theodore W.
    [J]. 2013 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2013, : 1869 - 1872
12345