Skip to content
  • Tentang IOS
  • Join Us
  • Hubungi Kami
  • Organisasi Mitra
  • Akun Anda
  • Keluar
  • Masuk
  • Bahasa Indonesia
    • Bahasa Indonesia
    • English
Lanjutan
  • Cari
  • Learning real-world stimuli by...
  • Daftar Isi
  • Koleksi Nasional
  • Sitasi Cantuman
  • Kirim via Email
  • Ekspor Cantuman
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Favorit
Cover Image

Learning real-world stimuli by single-spike coding and tempotron rule

Tersimpan di:
Main Authors: Huajin Tang,, Tang, H., Yu, Q., Qiang Yu,, Tan, K. C.
Format: Proceeding Journal
Terbitan: , 2012
Online Access: https://zenodo.org/record/1273117
  • Lokasi
  • Deskripsi
  • Daftar Isi
  • Preview
  • Tampilan Petugas
Daftar Isi:
  • n/a

Lihat Juga

  • Pattern recognition computation in a spiking neural network with temporal encoding and learning
    oleh: Qiang Yu,, et al.
    Terbitan: (2012)
  • Likelihood Based Learning Rule for Temporal Coding In Recurrent Spiking Neural Networks
    oleh: Paolo Muratore, et al.
    Terbitan: (2020)
  • Characterizations of Ordered Semigroups by (∈,∈ ∨q)-Fuzzy Ideals
    oleh: Jian Tang
    Terbitan: (2012)
  • Reliable Reference Genes for Gene Expression Assessment in Tendon-Derived Cells under Inflammatory and Pro-Fibrotic/Healing Stimuli
    oleh: Ragni Enrico, et al.
    Terbitan: (2019)
  • Reference implementation for the algorithms presented in "An Atomistic Fingerprint Algorithm for Learning Ab Initio Molecular Force Fields"
    oleh: Tang, Yu-Hang
    Terbitan: (2017)

Opsi Pencarian

  • Sejarah Pencarian
  • Pencarian Lanjut

Temukan Lebih Banyak

  • Penelusuran Katalog
  • Penelusuran Alfabetis

Butuh Bantuan?

  • Tips Pencarian
  • Admin
  • Hubungi Kami
© 2025 Perpustakaan Nasional Republik Indonesia
Loading...