Analysis of Spiking Dynamics and Network Morphology in a Dopamine-Reward Pavlovian Learning Spiking Neural Network

被引：0
|
作者：
Jeong, In Hoi [1 ]
Lee, Kyoung Jin [1 ]
机构：
[1] Korea Univ, Dept Phys, Seoul, South Korea
来源：
JOURNAL OF COMPUTATIONAL NEUROSCIENCE | 2024年 / 52卷
关键词：
D O I：
暂无
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
P111
引用
收藏
页码：S78 / S79
页数：2
相关论文
共 50 条
  • [41] Network of evolvable neural units can learn synaptic learning rules and spiking dynamics
    Paul Bertens
    Seong-Whan Lee
    Nature Machine Intelligence, 2020, 2 : 791 - 799
  • [42] Covert attention with a spiking neural network
    Chevallier, Sylvain
    Tarroux, Philippe
    COMPUTER VISION SYSTEMS, PROCEEDINGS, 2008, 5008 : 56 - 65
  • [43] Reusable Spiking Neural Network Architecture
    Sai, Pavan G.
    Kailath, Binsu J.
    2020 11TH IEEE ANNUAL UBIQUITOUS COMPUTING, ELECTRONICS & MOBILE COMMUNICATION CONFERENCE (UEMCON), 2020, : 614 - 620
  • [44] Spiking Neural Network Pressure Sensor
    Markiewicz, Michal
    Brzozowski, Ireneusz
    Janusz, Szymon
    NEURAL COMPUTATION, 2024, 36 (11) : 2299 - 2321
  • [45] A Scratchpad Spiking Neural Network Accelerator
    Karakchi, Rasha
    2024 IEEE 3RD INTERNATIONAL CONFERENCE ON COMPUTING AND MACHINE INTELLIGENCE, ICMI 2024, 2024,
  • [46] Overview of Spiking Neural Network Learning Approaches and Their Computational Complexities
    Pietrzak, Pawel
    Szczesny, Szymon
    Huderek, Damian
    Przyborowski, Lukasz
    SENSORS, 2023, 23 (06)
  • [47] Bifurcation analysis of the dynamics of interacting subnetworks of a spiking network
    Fereshteh Lagzi
    Fatihcan M. Atay
    Stefan Rotter
    Scientific Reports, 9
  • [48] A Fast Learning Algorithm of Self-Learning Spiking Neural Network
    Bodyanskiy, Yevgeniy
    Dolotov, Artem
    Pliss, Iryna
    Malyar, Mykola
    PROCEEDINGS OF THE 2016 IEEE FIRST INTERNATIONAL CONFERENCE ON DATA STREAM MINING & PROCESSING (DSMP), 2016, : 104 - 107
  • [49] Spiking Neural Network Actor–Critic Reinforcement Learning with Temporal Coding and Reward-Modulated Plasticity
    D. S. Vlasov
    R. B. Rybka
    A. V. Serenko
    A. G. Sboev
    Moscow University Physics Bulletin, 2024, 79 (Suppl 2) : S944 - S952
  • [50] A High Learning Capability Probabilistic Spiking Neural Network Chip
    Hsieh, Hung-Yi
    Li, Pin-Yi
    Yang, Cheng-Han
    Tang, Kea-Tiong
    2018 INTERNATIONAL SYMPOSIUM ON VLSI DESIGN, AUTOMATION AND TEST (VLSI-DAT), 2018,
12345