Logical Resonance in Izhikevich Neuron

被引:0
|
作者
Yucedag, Vedat Burak [1 ]
Dalkiran, Ilker [1 ]
Ahmadi, Arash [2 ]
机构
[1] Erciyes Univ, Dept Elect & Elect Engn, Ahmet El Biruni St, TR-38030 Kayseri, Turkiye
[2] Carleton Univ, Dept Elect Engn, 1125 Colonel By Dr, Ottawa, ON K1S 5B6, Canada
关键词
STOCHASTIC RESONANCE; SYNCHRONIZATION; MODEL;
D O I
10.5755/j02.eie.38220
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposes a new logic element model based on an Izhikevich (IZ) neuron and neural system that emulates two- and three-state logic behaviours. In a noise-free environment, with a periodic current of suitable amplitude and frequency, the IZ system is capable of performing logical AND and OR operations. Initially, a single IZ neuron demonstrates membrane dynamics in response to an input signal generated by combining two-state logic currents below the threshold. Subsequently, an IZ neural system model is introduced to enhance the reliability and resilience of the system. This model is characterised by electrical coupling with fast conduction and chemical coupling with a more adaptable structure. Each logic input independently influences each neuron within the system. Additionally, it has been observed that the reliability of the logic element is influenced by changes in synaptic strength, with a neural system lacking sufficient synaptic strength failing to generate logical output. Furthermore, the system displays a three-state logic behaviour under suitable forcing periodicity, thus enhancing the power efficiency of the logic element. The proposed IZ neuron and neural system are expected to significantly impact the development of brain-inspired logic elements.
引用
收藏
页码:11 / 18
页数:8
相关论文
共 50 条
  • [41] A two-variable silicon neuron circuit based on the Izhikevich model
    Mizoguchi, Nobuyuki
    Nagamatsu, Yuji
    Aihara, Kazuyuki
    Kohno, Takashi
    PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 16TH '11), 2011, : 338 - 341
  • [42] A Comparative Study on Determining Nonlinear Function Parameters of the Izhikevich Neuron Model
    Korkmaz, Nimet
    Ozturk, Ismail
    Kalinli, Adem
    Kilic, Recai
    JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2018, 27 (10)
  • [43] Posit and floating-point based Izhikevich neuron: A Comparison of arithmetic
    Fernandez-Hart, T.
    Knight, James C.
    Kalganova, T.
    NEUROCOMPUTING, 2024, 597
  • [44] Analysis of spatially extended excitable Izhikevich neuron model near instability
    Mondal, Arnab
    Mondal, Argha
    Sharma, Sanjeev Kumar
    Upadhyay, Ranjit Kumar
    NONLINEAR DYNAMICS, 2021, 105 (04) : 3515 - 3527
  • [45] Non-periodic responses of the Izhikevich neuron model to periodic inputs
    Tsukamoto, Yota
    Tsushima, Honami
    Ikeguchi, Tohru
    IEICE NONLINEAR THEORY AND ITS APPLICATIONS, 2022, 13 (02): : 367 - 372
  • [46] Towards Deterministic and Stochastic Computations with the Izhikevich Spiking-Neuron Model
    Hasani, Ramin M.
    Wang, Guodong
    Grosu, Radu
    ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2017, PT II, 2017, 10306 : 392 - 402
  • [47] A two-variable silicon neuron circuit based on the Izhikevich model
    Mizoguchi, Nobuyuki
    Nagamatsu, Yuji
    Aihara, Kazuyuki
    Kohno, Takashi
    ARTIFICIAL LIFE AND ROBOTICS, 2011, 16 (03) : 383 - 388
  • [48] Nonlinear Time Series Analysis of Spike Data of Izhikevich Neuron Model
    Uwate, Yoko
    Nishio, Yoshifumi
    Obien, Marie Engelene J.
    Frey, Urs
    2020 17TH INTERNATIONAL SOC DESIGN CONFERENCE (ISOCC 2020), 2020, : 203 - 204
  • [49] A Low Power Hardware Implementation of Izhikevich Neuron using Stochastic Computing
    Ismal, Aya A.
    Shaheen, Zeinab A.
    Rashad, Osama
    Salama, Khaled N.
    Mostafa, Hassan
    2018 30TH INTERNATIONAL CONFERENCE ON MICROELECTRONICS (ICM), 2018, : 315 - 318
  • [50] A Novel Coupled Memristive Izhikevich Neuron Model and Its Complex Dynamics
    Jia, Fengling
    He, Peiyan
    Yang, Lixin
    MATHEMATICS, 2024, 12 (14)