SPIRA v2: entropy-patch tokenization + hierarchical dopamine-gated spiking cortex + hippocampal one-shot memory with replay consolidation
032a961 verified | import type { Metadata } from "next"; | |
| import { Geist, Geist_Mono } from "next/font/google"; | |
| import "./globals.css"; | |
| import { Toaster } from "@/components/ui/toaster"; | |
| const geistSans = Geist({ | |
| variable: "--font-geist-sans", | |
| subsets: ["latin"], | |
| }); | |
| const geistMono = Geist_Mono({ | |
| variable: "--font-geist-mono", | |
| subsets: ["latin"], | |
| }); | |
| export const metadata: Metadata = { | |
| title: "SPIRA — Spiking Plastic Recurrent Architecture", | |
| description: | |
| "A CPU-only sequence-learning system outside the transformer/BPE paradigm: entropy-patch tokenization, reward-modulated spiking plasticity, and one-shot hippocampal memory.", | |
| keywords: ["SPIRA", "spiking neural networks", "neuromorphic", "tokenization", "one-shot learning", "CPU AI"], | |
| authors: [{ name: "SPIRA Research" }], | |
| icons: { | |
| icon: "https://z-cdn.chatglm.cn/z-ai/static/logo.svg", | |
| }, | |
| openGraph: { | |
| title: "SPIRA — Spiking Plastic Recurrent Architecture", | |
| description: "Entropy patches, reward-modulated plasticity, one-shot memory. No GPU cluster required.", | |
| siteName: "SPIRA", | |
| type: "website", | |
| }, | |
| }; | |
| export default function RootLayout({ | |
| children, | |
| }: Readonly<{ | |
| children: React.ReactNode; | |
| }>) { | |
| return ( | |
| <html lang="en" suppressHydrationWarning> | |
| <body | |
| className={`${geistSans.variable} ${geistMono.variable} antialiased bg-background text-foreground`} | |
| > | |
| {children} | |
| <Toaster /> | |
| </body> | |
| </html> | |
| ); | |
| } | |