  Although materials and processes are different from biological cells', brain
mimicries led to tremendous achievements in massively parallel information
processing via neuromorphic engineering. Inexistent in electronics, we describe
how to emulate dendritic morphogenesis by electropolymerization in water,
aiming in operando material modification for hardware learning. The systematic
study of applied voltage-pulse parameters details on tuning independently
morphological aspects of micrometric dendrites': as fractal number, branching
degree, asymmetry, density or length. Time-lapse image processing of their
growth shows the spatial features to be dynamically-dependent and expand
distinctively before and after forming a conductive bridging of two
electrochemically grown dendrites. Circuit-element analysis and electrochemical
impedance spectroscopy confirms their morphological control to occur in
temporal windows where the growth kinetics can be finely perturbed by the input
signal frequency and duty cycle. By the emulation of one of the most
preponderant mechanisms responsible for brain's long-term memory, its
implementation in the vicinity of sensing arrays, neural probes or biochips
shall greatly optimize computational costs and recognition performances
required to classify high-dimensional patterns from complex aqueous
environments.
