Exponential hebbian on-line learning implemented in FPGAs

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1112 LNCS, Issue , 1996, Pages 767-772

  Rossmann, M ^a   Jost, T ^a   Goser, K ^a   Bohlmeier A ^b   Manteuffel, G ^c  

^a TU DORTMUND UNIVERSITY   (Germany)

^b UNIVERSITY OF BREMEN   (Germany)

^c LEIBNIZ INSTITUTE FOR FARM ANIMAL BIOLOGY FBN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); LOW PASS FILTERS; NEURAL NETWORKS; LEARNING ALGORITHMS;

DATA FLOW; FPGA DEVICES; HEBBIAN; HEBBIAN LEARNING; LINEAR SOLUTION; ON-LINE ADAPTATION; ONLINE LEARNING; TIME CONSTANTS; LOW-PASS FILTERING;

E-LEARNING;

EID: 84902136898     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-61510-5_129     Document Type: Conference Paper

References (5)

1. Hebb, D. O., The organization of behaviour, J. Wiley, New York, 1949.
2. Rossmann et. al., Implementation of a Biologically Inspired Neuron Model in FPGA, Proc. of MieroNeuro'96, Lausanne, pp 322-330, 1996.
3. Btihlmeier, A., Analog Neural Networks in Autonomous Systems, PhD thesis, Universitát Bremen, Germany, forthcoming.
4. Kimble, G., Garmeey, N., Principles of General Psychology, Ronald Press, New York, 3. ed., 1968.
5. Tietze, U., Sehenk, Ch., Halbleiter-Schaltungstechnik, Springer Verlag, Berlin, Heidelberg, New York, 9. ed., 1991.