  Interconnectivity, fault tolerance, and dynamic evolution of the circuitry
are long sought-after objectives of bio-inspired engineering. Here, we propose
dendritic transistors composed of organic semiconductors as building blocks for
neuromorphic computing. These devices, owning to their voltage-triggered growth
and resemblance to neural structures, respond to action potentials to achieve
complex brain-like features, such as Pavlovian learning, pattern recognition,
and spike-timing-dependent plasticity. The dynamic formation of the connections
is reminiscent of a biological learning mechanism known as synaptogenesis, and
it is carried out by an electrochemical reaction that we name field-directed
polymerization. We employ it to dendritic connections and, by modulating the
growth parameters, control material properties such as the resistance and the
time constants relevant for plasticity. We believe these results will inspire
further research towards the complex integration of polymerized synapses for
brain-inspired computing.
