Brain Computer Model
We propose a model of the mind from the IT perspective as well as the architecture of a computer possible for this purpose. Details: General operation: think, feel and react to stimuli. States of wakefulness and sleep How it affects the environment as well as different mental illness Phenomenon of consciousness in a neural network, each neuron responds with its own specific output to a stimulus, and together, the overall response is resulting vector of responses of each neuron. All answers come together in a “bus master” from which go to the Short-Term Memory (STM) and then to Long Term Memory (LTM), as will be explained. Samsung can provide more clarity in the matter. The MCP is responsible for intelligence, reasoning and consciousness. Is an element with depth, with the MCP surface (closely connected with the main bus) more variable, and the deeper, constant lies there probably also the identification of “me.” The MLP on the other hand is responsible for individual personality. for knowledge. The MLP is divided into anterior and posterior, and is organized by environments or qualia. On waking, external sensors subsystems leave their information on the bus, and the operating system of the brain takes that information passes to the MCP, it looks in the MLP-MLP previously stored in the anterior-and relocates on the bus.
In dream state, external sensors remain very active, and performs the backup process via the bus and MCP, the information of the MLP front to back, organizing and not sequentially, but according to their environments. In a model with this architecture, the phenomenon of consciousness inevitably occurs: the MCP being intimately connected to that bus, and have a minimal persistence of several seconds, it is inevitable that their contents, overall, is also accused of the same like any other and seek in the MLP and feedback at the same bus. The appearance on the bus for this “package of state” that represents the overall contents of the MCP, and search in the MLP produces consciousness, that is, the feeling of seeing and analyzing the present moment. According to the model, reactions can occur not only on the basis of reason, but also emotional and intuitive, since the basis of its operation are the settings that relate to the information stored in LTM, and the environments are created simply as a common factor neurons that respond, in whatever form are the information contained therein. Examples of performance degradation due to diseases associated to a model element: Hardware: coma, loss of consciousness, schizophrenia, amnesia, Alzheimer’s, Parkinson’s, etc …
Software: sleeplessness, neurosis, nervousness, stress, etc … Other behaviors that the model predicts: an explanation of dreams, inability to remember them on waking, nightmares, dej-vu’s, there may be errors, changes in the brain with age, perception of time … Finally, this also includes references to some working currently are developing computer models to emulate the mind, with different architectures and different degrees of success. Conclusion: C on the current state of technology, can not yet tested the effectiveness of such a model. However, if so, the response to the current controversy over whether or not the brain can be emulated by a computer system, would be “yes, with the right architecture.”