Difference between revisions of "Encrypted code: Ephaptic transmission"

The term 'Cognitive Neural Network' abbreviated to 'CNN' is a dynamic cognitive intellectual process of the clinician who interrogates the network for self-training. The 'CNN' is not a 'Machine Learning' because while the latter must be trained by the clinician, with statistical and prediction adjustments, the 'CNN' trains the clinician or rather directs the clinician to the diagnosis while always being questioned following a logical human, hence the term 'cognitive'. As demonstrated, the definition of 'Emasticatory spasm' in our patient Mary Poppins was not a clinically simple process, however, considering the themes presented in the previous chapters of Masticationpedia we have at least three supporting elements available: a vision of 'Quantum Probability' of physical-chemical phenomena in complex biological systems which will be discussed extensively in the specific chapters; a more formal and less vague language than the natural language which directs the diagnostic analysis to the first input node of the 'CNN' through the '<math>\tau</math> Coherence Demarcator' described in the chapter '[[1° Clinical case: Hemimasticatory spasm - en|1st Clinical case: Hemimasticatory spasm]]'; the 'CNN' process which, being managed and guided exclusively by the clinician, becomes an essential means for the definitive diagnosis. The 'CNN', in fact, is the result of a profound cognitive process that is performed on each step of the analysis in which the clinician weighs his intuitions, clarifies his doubts, evaluates the reports, considers the contexts and advances step by step confronting the result of the answer coming from the database which in our case is Pubmed and which substantially represents the current level of basic knowledge <math>KB_t</math> at the time of the query and <math>KB_c</math> in the broader specialist contexts.