Spikes that count: Rethinking spikiness in neurally embedded systems

Neurocomputing

Volumn 58-60, Issue , 2004, Pages 303-311

  Saggie, Keren ^a   Keinan, Alon ^a   Ruppin, Eytan ^a  

^a TEL AVIV UNIVERSITY   (Israel)

Author keywords

Counting; Evolutionary computation; Neurocontroller analysis; Spiking

Indexed keywords

AGENTS; COMPUTER SIMULATION; DYNAMICS; EMBEDDED SYSTEMS; FUNCTIONAL ASSESSMENT;

CONTROL MECHANISM; SPIKINESS; SPIKY NEURAL NETWORKS;

NEURAL NETWORKS;

ALGORITHM; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER MEMORY; CONTROLLED STUDY; INFORMATION PROCESSING; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MOTONEURON; PRIORITY JOURNAL; TASK PERFORMANCE;

EID: 2542451081     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2004.01.060     Document Type: Article

References (12)

1. Aharonov R. Segev L. Meilijson I. Ruppin E. Localization of function via lesion analysis Neural Comput. 15 4 2003 885-913
2. Aharonov-Barki R. Beker T. Ruppin E. Emergence of memory-driven command neurons in evolved artificial agents Neural Comput. 13 3 2001 691-716
3. Bugmann G. Biologically plausible neural computation Biosystems 40 1997 11-19
4. D. Floreano, C. Mattiussi, Evolution of spiking neural controllers for autonomous vision-based robots, in: Evolutionary Robotics IV, Springer, Berlin, 2001.
5. Hartwell L.H. Hopfield J.J. Leibler S. Murray A.W. From molecular to modular cell biology Nature 402 6761 1999 C47-C52
6. A. Keinan, C. Hilgetag, I. Meilijson, E. Ruppin, Causal localization of neural function: the Shapley value method, in: Twelfth Annual Computational Neuroscience Meeting (CNS*2003), Neurocomputing, this issue.
7. A. Keinan, B. Sandbank, C.C. Hilgetag, I. Meilijson, E. Ruppin, Fair attribution of functional contribution in artificial and biological networks, Neural Comput., to appear.
8. Maass W. Networks of spiking neurons: the third generation of neural network models Neural Networks 10 1997 1656-1671
9. Maass W. Ruf B. On computation with pulses Inform. Comput. 148 2 1999 202-218
10. Mitchell M. An introduction to genetic algorithms 1996 MIT Press Cambridge, MA
11. Di Paolo E.A. Spike-timing dependent plasticity for evolved robot control: neural noise, synchronization and robustness Adapt. Behav. 10 3/4 2003
12. Ruppin E. Evolutionary autonomous agents: a neuroscience perspective Nat. Rev. Neurosci. 3 2002 132-141