Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits

• Κύριος συγγραφέας: Florescu, Dorian (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Springer Theses, Recognizing Outstanding Ph.D. Research,
• Θέματα: Engineering.; Neurosciences.; System theory.; Neural networks (Computer science).; Electronic circuits.; Signal, Image and Speech Processing.; Mathematical Models of Cognitive Processes and Neural Networks.; Systems Theory, Control.; Circuits and Systems.

This work is motivated by the ongoing open question of how information in the outside world is represented and processed by the brain. Consequently, several novel methods are developed. A new mathematical formulation is proposed for the encoding and decoding of analog signals using integrate-and-fir...

Πίνακας περιεχομένων:

• Nomenclature
• Acronyms
• 1 Introduction
• 2 Time Encoding and Decoding in Bandlimited and Shift-Invariant Spaces
• 3 A Novel Framework for Reconstructing Bandlimited Signals Encoded by Integrate and-Fire Neurons
• 4 A Novel Reconstruction Framework in Shift-Invariant Spaces for Signals Encoded with Integrate-and-Fire Neurons
• 5 A New Approach to the Identification of Sensory Processing Circuits Based on Spiking Neuron Data
• 6 A New Method for Implementing Linear Filters in the Spike Domain
• 7 Conclusions and Future Work
• Bibliography.