An organic synaptic circuit: toward flexible and biocompatible organic neuromorphic processing

Abstract In the nervous system synapses play a critical role in computation. neuromorphic systems, biologically inspired hardware implementations of spiking neural networks, electronic synaptic circuits pass signals between silicon neurons by integrating pre-synaptic voltage pulses and converting them into post-synaptic currents, which are scaled weight parameter. The overwhelming majority systems implemented using inorganic, mainly silicon, technology. As such, they physically rigid, require expensive fabrication equipment high temperatures, limited to small-area fabrication, difficult interface with biological tissue. Organic electronics based on properties carbon-based molecules polymers offer benefits including physical flexibility, low cost, temperature, large-area as well biocompatibility, all unavailable inorganic electronics. Here, we demonstrate an organic differential-pair integrator circuit, realistic synapse model, flexible complementary is shown convert input spikes output current traces time scales. We characterize circuit’s responses various parameters, gain weighting voltages, time-constant, capacitance, circuit response due inputs different frequencies. Time constants comparable those processing real-world sensory such speech, or bio-signals measured from body. For even slower signals, e.g., behavioral scales, excess two seconds, while plausible achieved deploying smaller capacitors. measure present custom-made simulations, good agreement behavior.