Computational Nanotechnology

The huge potential of Nano biotechnology is found on the capacity to deal with complex hierarchically organize systems from the macro scale to the Nano scale, it demands novel theoretical proceed towards and the competence of generating models, able to explain the dynamics at such a scale. Geometric and analytical proceed towards appear to be very favourable in all scientific areas, including the study of brain processes. Deep comprehension and flexible cause a change in the inner brain parameters, in order to mimic the outer transformation by the appropriate use of sensors and effectors. The basic mathematical aspects can be decorated with the use of a toy model related to Network Resistors with Adaptive Memory. Learning experiences manufacture a chain action of signalling among neurons in some areas of the brain, with the modification of neuron connections in particular brain areas, resulting in reorganization. Research on brain plasticity and circuitry also indicates that the brain is always learning, in both formal and informal contexts.

  • Computational modelling
  • Nanospectra biosciences
  • Nanospectra
  • DNA computation

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