By A. de Callataÿ
How does the brain paintings? How is info saved within the mind? How does the psychological international hook up with the actual global? The hybrid approach constructed during this publication exhibits a significantly new view at the mind. in short, during this version reminiscence continues to be everlasting by means of altering the homeostasis rebuilding the neuronal organelles. those adjustments are nearly abstracted as all-or-none operations. hence the computer-like neural structures turn into believable organic versions. This illustrated ebook exhibits how synthetic animals with such brains study invariant tools of habit keep watch over from their repeated activities. those robots could make judgements in any conditions and cause through analogy at any time when possible.
This new and increased version encompasses a prologue exploring the issues that have stopped the advance of absolutely fledged mind types. The reasons of those deadlocks are indexed as power misconceptions approximately mind ideas, neural networks, worried structures, robotics, programming and selection common sense
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Extra resources for Natural and Artificial Intelligence. Misconceptions About Brains and Neural Networks
Example text
Which definition of capacity should we choose? T h e keywords n o t included in the question are riot modified by noise in most implementations. , when the response is n o t modified, whatever the data in a category (an input cable). Noise is n o t the same as irrelevant data. A misconception is to interpret uncertain data as rand o m while inferences may show that some categories are irrelevant. Redundancy improves reliability when noise is present, b u t does n o t reduce the errors caused by a wrong generator of data.
Figure P I 8 shows how a binary code is transformed into a g r a n d m o t h e r code a n d inversely (one bit O n in a p a t t e r n ) . T h e transformation of a pattern of i n d e p e n d e n t data by a single neural layer into a code of two activated cells is similar to recognition by two g r a n d m o t h e r neural groups (figure P I 7 ) . Can we build recognizers transforming coded data into o t h e r coded data? T h e simplest theoretical case is a transformation of a pattern with Prologue P60 ^ ~d a U H U- cJ A " » *— ^ — ^ ç With n o n - r e d u n d a n t code and dense patterns, there is n o way to reduce the n u m b e r of closed synapses. Figure P I 7 shows that the parallel groups can cluster a pattern in several different correlated categories in which most of the information of the original pattern can be preserved. Those NNs are g r a n d m o t h e r red u n d a n t systems. T h e study of the above NN diagrams leads to the following conclusions: • A pattern without any active wire cannot be processed. • T h e state of the u n c o n n e c t e d wires is irrelevant.