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121 Libet concluded from this that the subjective experience was occurring before the neural events which bought it about.

122 We will follow the later development of the brain and neural tube in Chapter 8.

123 Neural systems are inherently analog and parallel in nature; electronic systems have been digital.

124 The extent of cell death varied between embryos and between the two sides of the neural tube in individual embryos.

125 Impulses are generated as a result of neural dysfunction and do not follow classic pain pathways.

126 If a neural network system is good at recall functions only, then it is necessary to impose constraints and limitations.

127 Image Processing Imaging applications for neural networks seem to be a natural fit.

128 A February 1989 Fortune article reported that Ford, for example, was using neural nets to spot faulty paint finishes.

129 Research in theory and computation encompasses quantum field theories of elementary particles, neural networks and quantum chromodynamics.

130 The first step each time is to decide how to represent your information for presentation to the neural network.

131 In all three instances, neural nets were being used to make routine decisions that otherwise would have required human intervention.

132 Pairs of inputs and outputs are applied to the neural network.

133 However, this application will illustrate in detail other techniques you can adopt in developing an application-specific neural network.

134 Existing Applications Most of the applications currently on the neural network scene are prototypes or research projects.

135 Appropriate Tasks Sometimes, tasks appropriate for neural networks are ones humans know how to do.

136 Current work in neural networks is examining ways to reduce the size of the training set required.

137 Hoiographic Implementations One of the most promising devices for implementing neural networks may be holograms.Sentence dictionary

138 It is unlikely that these deficits are due to loss of a neural mechanism dedicated to brightness discrimination.

139 Next we prepare the data for presentation to the neural network software development program.

140 These next applications deal with everyday occurrences, and neural networks are playing a part in each of them.

141 Neural networks can produce very good answers, though not necessarily optimum solutions, in remarkably short times.

142 This in turn may result in clinically observed pathologies of neural regulation.

143 We know from reading the literature that there are many ways to implement a neural network.

144 Theoretical arguments also indicate that multicellular neural systems can enter domains of chaotic behavior.

145 Embedded Neural Networks A neural network embedded in an expert system has many advantages.

146 Neural networks can use all the hints you can provide.

147 Two general categories are used in describing neural network organization.

148 From neural imaging, doctors could see the inside of her head being taken over by cancer.

149 Many neural network paradigms have evolved over the past decade.

150 However, most neural networks are not user-friendly and require considerable input data preparation and output data interpretation.