In the quest to change the way we envision computing, the ability to create connections in between computing nodes on demand offers the very exciting possibility to explore bottom-up strategies when it comes to thinking the design of electronic devices a nd circuits. Recently, the growth of conductive polymer fibers via electropolymerization (most notably poly(3,4-ethylenedioxythiophene) doped with poly(styrenesulfonate), abbreviated as PEDOT:PSS) was employed in the realm of neuromorphic hardware, first as a way to tune the resistance of a connection, and then to perform computing tasks, such as biosignal classification trough reservoir computing, thus establishing the advantages of the method. In this work, we propose to demonstrate that electropolyme rization is a useful tool for the creation of sensors that are able to realize computing tasks in an aqueous environment. By taking advantage of the morphology of the fibers, we show that PEDOT:PSS dendrites can discriminate between different types of vo ltage pulses emitted in their vicinity by a local gate electrode, thus performing in materio classification. In addition, we discuss the growth of networks of polymer fibers on 2D substrates. The ability to create structures that cover several microelect rodes allows us to study the behavior of the whole system instead of a single dendrite. Complex interactions through iono-electronic coupling arise when several fibers are interconnected. These mechanisms (e.g. self- / inter-gating, ionic relaxation,...) offer new possibilities for computing signals and could potentially open the way for new applications.