Universal Nonlinear Spiking Neural P Systems with Delays and Weights on Synapses

<div>A module for consecutive ADD-SUB instruction <span class="nowrap"><svg height="12.5794pt" id="M688" style="vertical-align:-3.29107pt" version="1.1" viewbox="-0.0498162 -9.28833 140.773 12.5794" width="140.773pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M238 681C243 705 239 712 230 712C217 712 156 682 75 674L70 648H105C148 648 153 641 144 598L39 110C18 11 35 -12 55 -12C90 -12 166 36 221 103L205 125C174 93 130 65 118 65C112 65 108 68 114 96L238 681Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,3.172,3.132)"><path d="M158 548H390L417 615L410 623H122L83 318C105 326 143 337 185 337C296 337 350 275 350 188C350 116 308 42 225 42C164 42 122 74 100 93C90 101 82 99 72 92C60 82 51 68 50 59C48 46 52 38 66 24C82 9 125 -12 172 -12C225 -11 292 15 346 59C408 108 437 166 437 226C437 309 371 397 242 397C214 397 170 382 133 369L158 548Z"></path></g><g transform="matrix(.013,0,0,-0.013,11.75,0)"><path 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Computational Intelligence and Neuroscience

fig14

Figure 14

Figure 14: Universal Nonlinear Spiking Neural P Systems with Delays and Weights on Synapses 