Mimicking the switching property of cyclic enzyme systems in metabolic pathways, we have proposed a different type of molecular switching device (post-synaptic neuron) whose mechanism can be represented by a threshold-logic function capable of storing short-term memory. We have named this system "biochemical-neuron" and have already developed the board-leveled analog circuit. In the present study, building the integrated artificial neural network system composed of biochemical-neurons, we have investigated the relationship between network responses and time-variant excited stimuli to the network, especially focusing on the examination of some neurophysiological experiments such as "selective elimination of synapses" and "associative long-term depression". Furthermore we shall discuss the information processing where the time-variant external analog signals are received and transduced to impulse signals.
All Science Journal Classification (ASJC) codes
- Statistical and Nonlinear Physics
- Mathematical Physics
- Condensed Matter Physics
- Applied Mathematics