ABSTRACT
In order to attract more investigatoIS, we will illustrate these major advances as follows: (1) the new discovery of Synapsin IIb by Greengard et al. [Han91] at the;Rockefeller University that made possible a controlled study of synapse formations and memory effects in live neural networks in Fig.5; (2) the underlying microtubule assembly for the nonlinear axon growth unveiled experimentally and theoretically by Kirschner et al. [Rein91, Tana91] at Univ. of San Francisco, that made feasible to trace the growth cone in Fig. 6; (3) usage of the advanced optoelectronic imaging in vitro techniques as shown Fig. 1, and in situ measurement techniques in Fig.3 [Courtesy of Torimitsu & Kawana]. Thus, based on the neural network viewpoint, given the knowledge of both the input (through the linear and distributed dendritic memory trees) and the output (of the nonlinear axon growth cones), one can in principle apply the electronic chip technology to complete the input-output statistics and measure the collective behavior in a controlled manner.
