Könyv Maximum a Posteriori Models for Cortical Modeling Cornelius Weber

Maximum a Posteriori Models for Cortical Modeling

Feature Detectors, Topography and Modularity

Szerző: Cornelius Weber
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Kiadói készleten rendelésre
Küldés 17-27 napon belül
17 649 Ft
This thesis shows in a top-down modeling approach that unsupervised learning rules of neural network...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2008
oldal
112
EAN
9783836496988
ISBN
3836496984
Enbook ID
07012878
Súly
159
Méretek
152 x 229 x 6

Teljes leírás

This thesis shows in a top-down modeling approach that unsupervised learning rules of neural networks can account for the development of cortical neural connections.§Sections 1, Introduction, and 2, The Cortex, comprise biological foundations about the cortex: its areas and their mutual connectivity, cell layers and the mechanisms which govern the development of neural connections. These data supply the goal of modeling as well as the motivation for the methods which are used. Sections 3, Theory, and 4, Models, describe the theory and how to derive models from it. Section 5 presents Results, and section 6, a Discussion.§In this work it is demonstrated that using a sparsely coded Boltzmann machine, neurons emerge which have localized and orientation selective receptive fields like those observed in primary visual cortex. Another highlight is the demonstration of a high adaptability of model structures to the environment. Either parallelly or hierarchically organized modules will arise as an appropriate adaptation to the organization of the training data set.

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