On The Construction Of Artificial Brains
by Ulrich Ramacher /
2010 / English / PDF
36.6 MB Download
This book presents a first generation of artificial brains, using
vision as sample application. An object recognition system is
built, using neurons and synapses as exclusive building elements.
The system contains a feature pyramid with 8 orientations and 5
resolution levels for 1000 objects and networks for binding of
features into objects. This vision system can recognize objects
robustly in the presence of changes in illumination, deformation,
distance and pose (as long as object components remain visible).
This book presents a first generation of artificial brains, using
vision as sample application. An object recognition system is
built, using neurons and synapses as exclusive building elements.
The system contains a feature pyramid with 8 orientations and 5
resolution levels for 1000 objects and networks for binding of
features into objects. This vision system can recognize objects
robustly in the presence of changes in illumination, deformation,
distance and pose (as long as object components remain visible).
The neuro-synaptic network owes its functional power to the
introduction of rapidly modifiable dynamic synapses. These give a
network greater pattern recognition capabilities than are
achievable with fixed connections. The spatio-temporal
correlation structure of patterns is captured by a single
synaptic differential equation in a universal way. The
correlation can appear as synchronous neural firing, which
signals the presence of a feature in a robust way, or binds
features into objects.
The neuro-synaptic network owes its functional power to the
introduction of rapidly modifiable dynamic synapses. These give a
network greater pattern recognition capabilities than are
achievable with fixed connections. The spatio-temporal
correlation structure of patterns is captured by a single
synaptic differential equation in a universal way. The
correlation can appear as synchronous neural firing, which
signals the presence of a feature in a robust way, or binds
features into objects.
Although in this book we can present only a first generation
artificial brain and believe many more generations will have to
follow to reach the full power of the human brain, we
nevertheless see a new era of computation on the horizon. There
were times when computers, with their precision, reliability and
blinding speed, were considered to be as superior to the wet
matter of our brain as a jet plane is to a sparrow. These times
seem to be over, given the fact that digital systems inspired by
formal logic and controlled algorithmically - today's computers -
are hitting a complexity crisis. A paradigm change is in the air:
from the externally organised to the self-organised computer, of
which the results described in this book may give an inkling.
Although in this book we can present only a first generation
artificial brain and believe many more generations will have to
follow to reach the full power of the human brain, we
nevertheless see a new era of computation on the horizon. There
were times when computers, with their precision, reliability and
blinding speed, were considered to be as superior to the wet
matter of our brain as a jet plane is to a sparrow. These times
seem to be over, given the fact that digital systems inspired by
formal logic and controlled algorithmically - today's computers -
are hitting a complexity crisis. A paradigm change is in the air:
from the externally organised to the self-organised computer, of
which the results described in this book may give an inkling.