AbstractWhether quantum-mechanical effects play a functional role in warm, wet neural tissue remains oneof the most contested questions in biophysics. We report five computational experiments that systematically investigate the hypothesis that quantum phenomena—tunnelling delays, nuclear-spin coherence,and environment-assisted quantum transport (ENAQT)—can enhance neural computation.Using spiking-network simulations (BRIAN2), open-quantum-system dynamics (QuTiP), and echostate networks (ESN), we find: (i) quantum-tunnelling synaptic delays increase the coefficient of variationof inter-spike intervals by 44% and the Fano factor by 89% compared to classical fixed delays; (ii) 31Pnuclear-spin coherence in a Posner-molecule model survives 346 µs at body temperature (310 K); (iii) a4-site ion-channel model exhibits an ENAQT peak at γ ≈ 1145 cm−1(continuous-model optimum; nearestsampled point 1061 cm−1) with a 6.7× enhancement over the coherent limit; (iv) quantum-distributednoise preserves reservoir memory capacity (MC) better than Gaussian noise at high amplitudes; and(v) when the ENAQT transport efficiency P4 is used as the synaptic release probability in an ESN,the MC peak coincides with the ENAQT peak across the sampled dephasing sweep, demonstrating thatquantum-enhanced molecular transport directly translates into quantum-enhanced network computation.These results establish a quantitative bridge between sub-molecular quantum effects and network-levelcomputational capacity, and generate falsifiable predictions for future wet-lab organoid experiments.