A Model for Evolutionary Structural Plasticity and Synchronization of a Network of Neurons

<div>Index’s values <svg height="11.5564pt" id="M223" style="vertical-align:-2.26807pt" version="1.1" viewbox="-0.0498162 -9.28833 21.878 11.5564" width="21.878pt" 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="M597 536C514 627 443 676 315 676S72 616 72 475C72 255 443 260 443 129C443 65 375 30 319 30C204 30 143 77 70 158L35 130C115 36 196 -14 323 -14C443 -14 591 45 591 186C591 411 213 394 213 548C213 599 275 632 319 632C433 632 498 583 567 501L597 536ZM464 63C481 84 487 112 487 139C487 304 116 279 116 487C116 536 144 587 188 610L189 608C177 585 169 561 169 534C169 360 547 365 547 186C547 131 513 87 466 62L464 63Z"></path></g><g transform="matrix(.013,0,0,-0.013,8.268,0)"><path d="M300 -147C201 -63 143 98 143 270S200 602 300 686L282 710C136 610 70 450 70 271V270C70 89 136 -72 282 -170L300 -147Z"></path></g><g transform="matrix(.013,0,0,-0.013,12.766,0)"><path d="M324 430H196L233 583L223 592L145 529L120 430H54L29 396L31 388H111L56 126C33 15 54 -12 77 -12C137 -12 214 57 250 95L233 119C208 92 155 59 138 59C126 59 120 70 131 125L186 390L298 394L324 430Z"></path></g><g transform="matrix(.013,0,0,-0.013,17.199,0)"><path d="M275 270C275 450 212 609 64 710L45 686C145 604 203 442 203 270S147 -63 45 -147L64 -170C213 -68 275 89 275 270Z"></path></g></svg> of the probable neuron communities formed in the functional network over time. The graphs show through the index’s positive values <svg height="11.5564pt" id="M224" style="vertical-align:-2.26807pt" version="1.1" viewbox="-0.0498162 -9.28833 21.878 11.5564" width="21.878pt" 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="M597 536C514 627 443 676 315 676S72 616 72 475C72 255 443 260 443 129C443 65 375 30 319 30C204 30 143 77 70 158L35 130C115 36 196 -14 323 -14C443 -14 591 45 591 186C591 411 213 394 213 548C213 599 275 632 319 632C433 632 498 583 567 501L597 536ZM464 63C481 84 487 112 487 139C487 304 116 279 116 487C116 536 144 587 188 610L189 608C177 585 169 561 169 534C169 360 547 365 547 186C547 131 513 87 466 62L464 63Z"></path></g><g transform="matrix(.013,0,0,-0.013,8.268,0)"><path d="M300 -147C201 -63 143 98 143 270S200 602 300 686L282 710C136 610 70 450 70 271V270C70 89 136 -72 282 -170L300 -147Z"></path></g><g transform="matrix(.013,0,0,-0.013,12.766,0)"><path d="M324 430H196L233 583L223 592L145 529L120 430H54L29 396L31 388H111L56 126C33 15 54 -12 77 -12C137 -12 214 57 250 95L233 119C208 92 155 59 138 59C126 59 120 70 131 125L186 390L298 394L324 430Z"></path></g><g transform="matrix(.013,0,0,-0.013,17.199,0)"><path d="M275 270C275 450 212 609 64 710L45 686C145 604 203 442 203 270S147 -63 45 -147L64 -170C213 -68 275 89 275 270Z"></path></g></svg> how the neural behaviors between neurons of the same community are more similar than others which not belong to the same community Figure <a href="../fig5/">5</a>.</div>

Computational and Mathematical Methods in Medicine

fig7

Figure 7

Figure 7: A Model for Evolutionary Structural Plasticity and Synchronization of a Network of Neurons 