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Author : Paul Miller Pages : 408 pages Publisher : Mit Press Language : ISBN-10 : 0262038250 ISBN-13 : 9780262038 256

An Introductory Course in Computational Neuroscience A text boo k for stu den ts wit h limi ted bac kgr oun d in mat he


mat ics and co mp ute r cod ing, em pha sizi ng co mp ute r tut oria ls tha t gui de rea der s in pro duc ing mo del s of neu ral beh avi or. Thi s intr odu


ctor y text tea che s stu den ts to und erst and , sim ulat e, and ana lyze the co mpl ex beh avi ors of indi vid ual neu ron s and brai n circ uits . It is buil


t aro und co mp ute r tut oria ls tha t gui de stu den ts in pro duc ing mo del s of neu ral beh avi or, wit h the ass oci ate d Mat lab cod e free ly


ava ilab le onli ne. Fro m the se mo del s stu den ts lear n ho w indi vid ual neu ron s fun ctio n and ho w, wh en con nec ted, neu ron s coo per ate


in a circ uit. The boo k de mo nstr ate s thr oug h sim ulat ed mo del s ho w osci llati ons , mul tist abil ity, pos tsti mul us reb oun ds, and cha os can


aris e wit hin eith er sin gle neu ron s or circ uits , and it exp lore s thei r role s in the brai n.T he boo k first pre sen ts ess enti al bac kgr oun d in neu ros


cie nce , phy sics , mat he mat ics, and Mat lab, wit h exp lan atio ns illus trat ed by ma ny exa mpl e pro ble ms. Sub seq uen t cha pte rs cov er the neu


ron and spi ke pro duc tion ; sin gle spi ke trai ns and the und erly ing cog niti ve pro ces ses ; con duc tan cebas ed mo del s; the sim ulat ion of syn apti


c con nec tion s; firin grat e mo del s of larg escal e circ uit ope rati on; dyn ami cal sys tem s and thei r co mp one nts ; syn apti c pla stici ty; and


tec hni que s for ana lysi s of neu ron pop ulat ion dat ase ts, incl udi ng prin cip al co mp one nts ana lysi s, hid den Mar kov mo deli ng, and Bay esia n dec odi


ng. Acc essi ble to und erg rad uat es in life scie nce s wit h limi ted bac kgr oun d in mat he mat ics and co mp ute r cod ing, the boo k can be use d in a


"flip ped " or "inv ert ed" tea chi ng app roa ch, wit h clas s tim e dev ote d to han dson wor k on the co mp ute r tut oria ls. It can als o be a res


our ce for gra dua te stu den ts in the life scie nce s wh o wis h to gai n co mp utin g skill s and a dee per kno wle dge of neu ral fun ctio n and neu


ral circ uits . An Introductory Course in Computational Neuroscience Get Now https://madbooksxyz.blogspot.com/?book=0262038250

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An Introductory Course in Computational Neuroscience  

An Introductory Course in Computational Neuroscience Get Now https://madbooksxyz.blogspot.com/?book=0262038250

An Introductory Course in Computational Neuroscience  

An Introductory Course in Computational Neuroscience Get Now https://madbooksxyz.blogspot.com/?book=0262038250

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