Computational Biology and Machine Learning

Publications

Research Areas (all - type sorted, all - area sorted)Publication Type
BNBiological and Complex Networks   BSBiostatistics
CBComputational Biology   CNComputational Neuroscience
ITInformation Theory   MLMachine Learning
MCMC Methods   CIComputational Intelligence
JJournal Article
CConference Article
BBook
BEBook (Ed.)
BCBook Chapter
PEProceedings (Ed.)
PAProceedings (Ass. Ed.)
TThesis
TRTechnical Report
Selected Publications in: BN CB CN ML MC CI
2006
J   1. Frank Emmert-Streib
A Heterosynaptic Learning Rule for Neural Networks
International Journal of Modern Physics C, 17(10), 1501-1520.
BN CB CN ML    CI
J   2. Frank Emmert-Streib
Influence of the neural network topology on the learning dynamics
Neurocomputing, 69(10-12), 1179--1182.
BN CB CN         
C   3. Frank Emmert-Streib
A Novel Stochastic Learning Rule for Neural Networks
Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, Lecture Notes in Computer Science (LNCS), Jun Wang and Zhang Yi and Jacek M. Zurada and Bao-Liang Lu and Hujun Yin (Eds.), Springer, 414--423.
BN CB CN ML    CI
2005
J   4. Frank Emmert-Streib
Active Learning in Recurrent Neural Networks Facilitated by an Hebb-like Learning Rule with Memory
Neural Information Processing - Letters and Reviews, 9(2), 31-40.
BN CB CN ML    CI
J   5. Frank Emmert-Streib
Self-organized annealing in laterally inhibited neural networks shows power law decay
Neural Information Processing - Letters and Reviews, 7(1), 29-38.
BN CB CN ML      
C   6. Frank Emmert-Streib
A neurobiologically motivated model for self-organized learning
MICAI 2005: Advances in Artificial Intelligence, Lecture Notes in Computes Science (LNCS), Lecture Notes in Artificial Intelligence, Alexander Gelbukh and Hugo Terashima (Eds.), Springer, 3789, 415-424.
   CB CN ML MC   
C   7. Frank Emmert-Streib
Self-Reinforcement Learning: A neurobiologically motivated Model
Annual Conference on Artificial & Computational Intelligence for Decision, Control and Automation in Engineering and Industrial Applications - International Conference on Machine Intelligence (ACIDCA-ICMI), 335-342.
   CB CN ML MC   
2004
B   8. Frank Emmert-Streib
Aktive Computation in offenen Systemen. Lerndynamiken in biologischen Systemen: Vom Netzwerk zum Organismus
Mensch & Buch Verlag, Berlin.
BN CB CN ML MC CI
2003
T   9. Frank Emmert-Streib
Aktive Computation in offenen Systemen. Lerndynamiken in biologischen Systemen: Vom Netzwerk zum Organismus
Ph.D. Thesis - Theoretical Physics, Universität Bremen (Germany).
BN CB CN ML MC CI
2001
J   10. Jens R. Otterpohl and Frank Emmert-Streib and Klaus Pawelzik
A constrained HMM-based approach to the estimation of perceptual switching dynamics in Pigeons
Neurocomputing, 38-40, 1495-1501.
   CB CN ML      
2000
J   11. Jens R. Otterpohl and John D. Haynes and Frank Emmert-Streib and G. Vetter and Klaus Pawelzik
Extracting the Dynamics of Perceptual Switching from Noisy Behaviour: An Application of Hidden Markov Modeling to Pecking Data from Pigeons
Journal of Physiology (Paris), 94(5-6), 555-567.
   CB CN ML      
1999
C   12. J. Michael Herrmann and Frank Emmert-Streib and Klaus Pawelzik
Autonomous robots and neuroethology: Emergence of behavior from a sense of curiosity
Experiments with the Mini-Robot Khepera, Proceedings of the 1st Int. Khepera Workshop, U. Rüückert A. Löffler, F. Mondada (Eds.), HNI-Verlagsschriftenreihe, 64, 89-98.
   CB CN ML MC   
Frank Emmert-Streib

Last modified: July 25 2007