Spiking neural networks
In this thesis, spiking neural networks are studied in two contexts -- one in a functional role where the network is trained with reinforcement learning, and second in a descriptive context studying the emergent self-organised criticality (SOC) property of the network. Recent advances in neural net...
Main Author: | Σούρμπης, Χρήστος |
---|---|
Other Authors: | Σκόδρας, Αθανάσιος |
Format: | Thesis |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://hdl.handle.net/10889/11632 |
Similar Items
-
Βαθιά νευρωνικά δίκτυα
by: Αλεξανδρή, Κωνσταντίνα
Published: (2019) -
Σύγκριση μεθόδων εκπαίδευσης τεχνητών νευρωνικών δικτύων
by: Σταθοπούλου, Δήμητρα
Published: (2011) -
Νευρωνικά δίκτυα: αρχιτεκτονική και εφαρμογές
by: Γεωργάνα, Αθηνά
Published: (2008) -
Νέοι αλγόριθμοι εκπαίδευσης τεχνητών νευρωνικών δικτύων
by: Μαγουλάς, Γεώργιος
Published: (2009) -
Implementation and evaluation of a virtual computer game agent with neural networks
by: Κοντοθανάσης, Ιωάννης
Published: (2022)