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Tesi etd-06062011-095647


Thesis type
Tesi di laurea specialistica
Author
FESTA, DYLAN
email address
DarkSnail@gmail.com
URN
etd-06062011-095647
Title
Chaos Characterization of Pulse-Coupled Neural Networks in Balanced State
Struttura
SCIENZE MATEMATICHE, FISICHE E NATURALI
Corso di studi
SCIENZE FISICHE
Commissione
relatore Prof. Fronzoni, Leone
Parole chiave
  • Lyapunov vectors
  • Lyapunov exponents
  • ergodic theory
  • balanced state
  • Neural networks
Data inizio appello
22/06/2011;
Consultabilità
completa
Riassunto analitico
In the present work the formalism of Ergodic theory, used for the statistical study of complex,<br>nonlinear dynamical systems of N ≫ 1 dimensions in general, is applied to the time evolution<br>of large-scale pulse-coupled neural networks in the so-called balanced state. The aim is to<br>measure the ergodic properties of such systems, consider how they are related to the network<br>parameters, and finally characterize dynamically the participation of individual network nodes<br>(the “neurons”) in the collective dynamics.
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