import{_ as m,a as f}from"../../../js/StoreList-B3WX8xhg.js";import{d as _,cG as g,cD as h,cH as S,cF as V,cE as b,o as w,n as x,w as o,a as e,N as a,z as r,L as B,e as t,cs as k,f as n,B as s,Q as D,g as N,i as l,ct as C,cu as P,cv as j,M as v,J as T}from"../../../js/index-Jv7TaKWs.js";import"../../../js/ImportDialog-B7DrvLkQ.js";const L=""+new URL("../../../img/norse-logo-CchGHwP5.png",import.meta.url).href,I=_({__name:"Home",setup(y){const i=g(),d=h(),c=S(),u=V(),p=b();return(E,H)=>(w(),x(T,null,{default:o(()=>[e(v,null,{default:o(()=>[e(a,{md:"6"},{default:o(()=>[e(r,null,{default:o(()=>[e(B,{src:t(L),alt:"norse-logo",class:"ma-2 mx-10"},null,8,["src"]),e(k,null,{default:o(()=>[n(" Deep learning with spiking neural networks in PyTorch ")]),_:1}),e(s,null,{default:o(()=>[n(" Norse aims to exploit the advantages of bio-inspired neural components, which are sparse and event-driven - a fundamental difference from artificial neural networks. Norse expands PyTorch with primitives for bio-inspired neural components, bringing you two advantages: a modern and proven infrastructure based on PyTorch and deep learning-compatible spiking neural network components. ")]),_:1})]),_:1}),e(r,{class:"mt-2"},{default:o(()=>[e(D,null,{default:o(()=>[n("References")]),_:1}),e(s,null,{default:o(()=>[e(N,null,{default:o(()=>[e(l,{"append-icon":"mdi:mdi-open-in-new",href:"https://norse.github.io/norse","prepend-icon":"mdi:mdi-github",target:"_blank"},{default:o(()=>[n(" https://github.com/norse ")]),_:1}),e(l,{"append-icon":"mdi:mdi-open-in-new",href:"https://norse.github.io/norse","prepend-icon":"mdi:mdi-book-open",target:"_blank"},{default:o(()=>[n(" https://norse.github.io/norse ")]),_:1})]),_:1})]),_:1})]),_:1})]),_:1}),e(a,{md:"6"},{default:o(()=>[e(C,{variant:"accordion"},{default:o(()=>[e(P,{title:"Backend settings"},{default:o(()=>[e(j,null,{default:o(()=>[e(m,{store:t(p)},null,8,["store"])]),_:1})]),_:1})]),_:1}),e(f,{modelDBStore:t(i),modelStore:t(d),projectStore:t(u),projectDBStore:t(c),simulator:"norse"},null,8,["modelDBStore","modelStore","projectStore","projectDBStore"])]),_:1})]),_:1})]),_:1}))}});export{I as default};
