fixed typos in neural nets thanks to Ricardo Colome

book/a_neural/backpropagation.tex

@@ -32,7 +32,7 @@ \subsection{Inspiration}
 % What is the system or process that motivated the development of a technique?
 Feed-forward neural networks are inspired by the information processing of one or more neural cells (called a neuron). 
 % Which features of the motivating system are relevant to a technique?
-A neuron accepts input signals via its axon, which pass the electrical signal down to the cell body. The dendrites carry the signal out to synapses, which are the connections of a cell's dendrites to other cell's axons. In a synapse, the electrical activity is converted into molecular activity (neurotransmitter molecules crossing the synaptic cleft and binding with receptors). The molecular binding develops an electrical signal which is passed onto the connected cells axon.
+A neuron accepts input signals via its dendrites, which pass the electrical signal down to the cell body. The axon carry the signal out to synapses, which are the connections of a cell's axon to other cell's dendrites. In a synapse, the electrical activity is converted into molecular activity (neurotransmitter molecules crossing the synaptic cleft and binding with receptors). The molecular binding develops an electrical signal which is passed onto the connected cells dendrites.
 % backprop 
 The Back-propagation algorithm is a training regime for multi-layer feed forward neural networks and is not directly inspired by the learning processes of the biological system.
 

book/a_neural/perceptron.tex

@@ -31,7 +31,7 @@ \subsection{Inspiration}
 % What is the system or process that motivated the development of a technique?
 The Perceptron is inspired by the information processing of a single neural cell (called a neuron). 
 % Which features of the motivating system are relevant to a technique?
-A neuron accepts input signals via its axon, which pass the electrical signal down to the cell body. The dendrites carry the signal out to synapses, which are the connections of a cell's dendrites to other cell's axons. In a synapse, the electrical activity is converted into molecular activity (neurotransmitter molecules crossing the synaptic cleft and binding with receptors). The molecular binding develops an electrical signal which is passed onto the connected cells axon.
+A neuron accepts input signals via its dendrites, which pass the electrical signal down to the cell body. The axon carry the signal out to synapses, which are the connections of a cell's axon to other cell's dendrites. In a synapse, the electrical activity is converted into molecular activity (neurotransmitter molecules crossing the synaptic cleft and binding with receptors). The molecular binding develops an electrical signal which is passed onto the connected cells dendrites.
 
 % Metaphor: Explanation via analogy
 % The metaphor is a description of the technique in the context of the inspiring system or a different suitable system. The features of the technique are made apparent through an analogous description of the features of the inspiring system. The explanation through analogy is not expected to be literal scientific truth, rather the method is used as an allegorical communication tool. The inspiring system is not explicitly described, this is the role of the ‘inspiration’ element, which represents a loose dependency for this element. The explanation is textual and uses the nomenclature of the metaphorical system.

book/b_errata.tex

@@ -8,9 +8,12 @@ \chapter*{Errata\markboth{Errata}{}}
 \section*{Revision 2}
 \begin{small}
 
-\begin{description}
-	\item[page 43--47] Typo's of Multi-Restart. Thanks to Stephan Williams.
-\end{description}
+	\begin{description}
+		\item[page 43--47] Typo's of Multi-Restart. Thanks to Stephan Williams.
+		\item[page 307] Confusion of the role of dendrites and axons for a neuron. Thanks to Ricardo Colome.
+		\item[page 311] Confusion of the role of dendrites and axons for a neuron. Thanks to Ricardo Colome.
+		\item[page 316] Confusion of the role of dendrites and axons for a neuron. Thanks to Ricardo Colome.
+	\end{description}
 
 \end{small}
 

book/c_neural.tex

@@ -20,7 +20,7 @@ \section{Overview}
 % biological
 \subsection{Biological Neural Networks}
 A Biological Neural Network refers to the information processing elements of the nervous system, organized as a collection of neural cells, called neurons, that are interconnected in networks and interact with each other using electrochemical signals.
-A biological neuron is generally comprised of an axon which provides the input signals and is connected to other neurons via synapses. The neuron reacts to input signals and may produce an output signal on its output connection called the dendrites.
+A biological neuron is generally comprised of dendrites which provide the input signals to the cell. The neuron reacts to input signals and may produce an output signal on its output connection called the axon which is connected to the dendrites of other neurons via synapses.
 
 The study of biological neural networks falls within the domain of neuroscience which is a branch of biology concerned with the nervous system. 
 Neuroanatomy is a subject that is concerned with the the structure and function of groups of neural networks both with regard to parts of the brain and the structures that lead from and to the brain from the rest of the body.