1. A micro-control neuroprosthetic device for predicting and controlling epileptic neuronal activity, comprising: a detection system that detects and collects electrophysiological information comprising action potentials of single or ensembles of neurons in a neural structure, wherein the neural structure is selected from the group consisting of the limbic system, hippocampus, entorhinal cortex, CA1, CA2, CA3, dentate, and hippocampal commissure; a bandpass filter that filters the detected and collected electrophysiological information to select electrophysiological information having a frequency between 300 Hz and 6 kHz; an analysis system that evaluates the filtered electrophysiological information and performs a real-time extraction of neuron firing features and from the extracted features determines when electrical stimulus intervention is required; a stimulation intervention system that provides electrical stimulus output signals having a desired stimulation frequency and stimulation intensity directly to the neural structure being monitored and in which abnormal neuronal activity is detected; and wherein the analysis system further analyzes collected electrophysiological information following electrical stimulus intervention to assess the short-term effects of the stimulation intervention and to provide outputs to maintain or modify such stimulation intervention.