You are presented with multiple paper abstracts, alongside the associated literature review and chapter titles. Given the provided information, you are going to do a literature review. Please generate a coherent literature review that synthesizes the content, draws connections between different works, highlights major findings, and identifies any gaps in the existing research.

Literature Review Title: A survey of signal processing algorithms in brain?computer interfaces based on electrical brain signals 
Chapter Title:  Neural networks 
1. Abstract of Cited Paper (BIB001):  The ability to record, in real-time, the activity of hundreds of cortical neurons gives the ability to selectively study the function of clusters of cortical neurons in Brain Machine Interface (BMI) experiments. We have demonstrated using a recursive multilayer perceptron (RMLP) that using the appropriate signal processing theory in a well-chosen parsimonious model, we can develop constructs that agree with basic physiological modeling of neural control. By looking through the trained model, we have found interesting relationships between the neuronal firing and the movement. The RMLP allows us to continuously study the relationship between neural activity and behavior without the active interference of the experimenter. The findings presented in this study offer an opportunity for the neuroscience community to compare the cortical interactions as constructed by the RMLP to what is known about motor neurophysiology.

Literature Review:
Recurrent MLP neural  BIB001 BIB002 use threshold detectors as the feature classifier or as part of the feature classification scheme (27%), linear discriminant (either LDA or FLD) classifiers (26%), those that show continuous feedback of the extracted features (16%), and those that use support vector machines (SVM) (11%). 27% of the neural-network-based classifiers are based on the multi-layer perceptrons (MLP) neural network and 39% are based on learning-vector-quantization (LVQ) classification scheme. During our analysis of the literature, a number of salient points about the signal processing methods emerged. We think that some of these points are worth sharing with the BCI research community. In the following sections we summarize some of them. Note that these observations are based on comments made by the researchers in their published papers and are also based on the trends in the literature; they do not cover all the methods reported in the literature.