Computer Simulation

Mihai Alexandru Petrovici's Form Versus Function: Theory and Models for Neuronal PDF

By Mihai Alexandru Petrovici

ISBN-10: 3319395513

ISBN-13: 9783319395517

This thesis addresses probably the most basic demanding situations for contemporary technology: how can the mind as a community of neurons approach details, how can it create and shop inner types of our international, and the way can it infer conclusions from ambiguous information? the writer addresses those questions with the rigorous language of arithmetic and theoretical physics, an process that calls for a excessive measure of abstraction to move result of rainy lab biology to formal models.
The thesis starts off with an in-depth description of the state of the art in theoretical neuroscience, which it accordingly makes use of as a foundation to increase numerous new and unique principles. in the course of the textual content, the writer connects the shape and serve as of neuronal networks. this is often performed with the intention to in attaining practical functionality of organic brains through moving their shape to man made electronics substrates, an strategy often called neuromorphic computing. the most obvious element that this move can by no means be ideal yet unavoidably ends up in functionality changes is substantiated and explored in detail.
The writer additionally introduces a singular interpretation of the firing task of neurons. He proposes a probabilistic interpretation of this job and exhibits via formal derivations that stochastic neurons can pattern from internally saved chance distributions. this is often corroborated by way of the author’s fresh findings, which verify that organic good points just like the excessive conductance kingdom of networks let this mechanism. the writer is going directly to express that neural sampling may be applied on man made neuromorphic circuits, paving the best way for destiny functions in computer studying and cognitive computing, for instance as energy-efficient implementations of deep studying networks.
The thesis deals an important source for rookies to the sector and an notion for scientists operating in theoretical neuroscience and the way forward for computing.

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Form Versus Function: Theory and Models for Neuronal Substrates (Springer Theses) by Mihai Alexandru Petrovici

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