Arş. Gör. AHMET YASİN BARAN

Yayın Ağı

Makaleler 10

1. Memristive Wilson–Cowan Neuron Models: Innovative Conceptual Framework and Programmable Analog and Digital Implementations

BARAN A. Y., Randrianantenaina J. L., Korkmaz N., KILIÇ R.

International Journal of Circuit Theory and Applications , cilt.54, sa.7, ss.3852-3864, 2026 (SCI-Expanded, Scopus)

2. Performance comparison of memristive spiking neural networks composed of different neural structures through image restoration problem

BARAN A. Y., Abdalla O., Korkmaz N., KILIÇ R.

Chaos, Solitons and Fractals , cilt.208, 2026 (SCI-Expanded, Scopus)

3. Neurocomputing capability evaluation of FHN model-based MSNN architectures with different window functions through the XOR problem

BARAN A. Y., Abdalla O., Öztürk İ., Korkmaz N., KILIÇ R.

Engineering Science and Technology, an International Journal , cilt.73, 2026 (SCI-Expanded, Scopus)

4. Design and FPAA simulation of multi-scroll attractors in a memristor-based Hopfield neural network

Randrianantenaina J. L., BARAN A. Y., Korkmaz N., KILIÇ R.

Chaos, Solitons and Fractals , cilt.201, 2025 (SCI-Expanded, Scopus)

5. Exploring The Izhikevich Neuron Model for Robust Signal Encoding and Reconstruction

Abdalla O., Randrıanantenaına J. L., Baran A. Y., Kılıç R.

Kayseri Üniversitesi Mühendislik ve Fen Bilimleri Dergisi , cilt.1, sa.1, ss.7-11, 2025 (Hakemli Dergi)

6. Investigation of Synchronization Control of the Memristive/Resistive-Coupled Neural Network with Noise Effect

Abdalla O., BARAN A. Y., KORKMAZ N., KILIÇ R.

INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS , cilt.34, 2024 (SCI-Expanded, Scopus)

7. A New Nonlinear Ion Drift Model of Memristor Element and its Versatile Analog Reconfigurable Realizations

Randrianantenaina J. L., Baran A. Y., KORKMAZ N., KILIÇ R.

JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS , cilt.33, sa.06, 2024 (SCI-Expanded, Scopus)

8. Functional emulator designs for a memristor model with programmable analog and digital platforms

Randrianantenaina J. L., BARAN A. Y., KORKMAZ N., KILIÇ R.

JOURNAL OF COMPUTATIONAL ELECTRONICS , cilt.22, sa.1, ss.519-530, 2023 (SCI-Expanded, Scopus)

9. Tukey pencere fonksiyonu ile tasarlanan memristör elemanının FPAA tabanlı gerçekleştirimi

Randrıanantenaına J. L., Baran A. Y., Korkmaz N., Kılıç R.

Erciyes Üniversitesi Fen Bilimleri Enstitüsü Dergisi , cilt.38, sa.3, ss.525-535, 2022 (TRDizin)

10. On addressing the similarities between STDP concept and synaptic/ memristive coupled neurons by realizing of the memristive synapse based HR neurons

BARAN A. Y., KORKMAZ N., Ozturk I., KILIÇ R.

ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH , cilt.32, 2022 (SCI-Expanded, Scopus)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 5

1. FPAA Platform Realization of Memristor Based on Blackman Window Function Coupled with the FHN Neuron Model

Randrıanantenaına J. L., Abdalla O., Baran A. Y., Korkmaz N., Kılıç R.

VII. International Turkic World Congress on Science and Engineering, Priştine, Kosova, 13 Kasım - 15 Aralık 2025, ss.798-807, (Tam Metin Bildiri)

2. Design of a Fitzhugh-Nagumo neuron model based spiking neural network and its application for the XOR pattern recognition task

Abdalla O., BARAN A. Y., KORKMAZ N., KILIÇ R.

VI. International Turkic World Congress on Science and Engineering, Baku, Azerbaycan, 19 - 21 Eylül 2024, (Tam Metin Bildiri)

3. FPAA-based implementation of a memristor element defined by the Hanning window function

Randrianantenaina J. L., Baran A. Y., Korkmaz N., Kılıç R.

V. INTERNATIONAL TURKIC WORLD CONGRESS ON SCIENCE AND ENGINEERING, Bishkek, Kırgızistan, 15 - 17 Eylül 2023, ss.139-147, (Tam Metin Bildiri)

4. Prodromakis pencere fonksiyonu ile tasarlanan memristör elemanının FPGA tabanlı gerçekleştirimi

Baran A. Y., Randrianantenaina J. L., Korkmaz N., Kılıç R.

IV. İnternational Turkic World Congress on Science and Engineering (TURK-COSE 2022), Niğde, Türkiye, 23 - 24 Haziran 2022, ss.1-6, (Tam Metin Bildiri)

5. Coupling the FitzHugh-Nagumo Neuron Model with Memristive Synapse Structure in Neuromorphic Systems Nöromorfik Sistemlerde FitzHugh-Nagumo Nöron Modelinin Memristif Sinaps Yapisi ile Kuplajlanmasi

BARAN A. Y., Korkmaz N., KILIÇ R.

2021 Innovations in Intelligent Systems and Applications Conference, ASYU 2021, Elazığ, Türkiye, 6 - 08 Ekim 2021, (Tam Metin Bildiri)

Metrikler

Arş. Gör. AHMET YASİN BARAN

Yayınlar & Eserler

1. Memristive Wilson–Cowan Neuron Models: Innovative Conceptual Framework and Programmable Analog and Digital Implementations

2. Performance comparison of memristive spiking neural networks composed of different neural structures through image restoration problem

3. Neurocomputing capability evaluation of FHN model-based MSNN architectures with different window functions through the XOR problem

4. Design and FPAA simulation of multi-scroll attractors in a memristor-based Hopfield neural network

5. Exploring The Izhikevich Neuron Model for Robust Signal Encoding and Reconstruction

6. Investigation of Synchronization Control of the Memristive/Resistive-Coupled Neural Network with Noise Effect

7. A New Nonlinear Ion Drift Model of Memristor Element and its Versatile Analog Reconfigurable Realizations

8. Functional emulator designs for a memristor model with programmable analog and digital platforms

9. Tukey pencere fonksiyonu ile tasarlanan memristör elemanının FPAA tabanlı gerçekleştirimi

10. On addressing the similarities between STDP concept and synaptic/ memristive coupled neurons by realizing of the memristive synapse based HR neurons

1. FPAA Platform Realization of Memristor Based on Blackman Window Function Coupled with the FHN Neuron Model

2. Design of a Fitzhugh-Nagumo neuron model based spiking neural network and its application for the XOR pattern recognition task

3. FPAA-based implementation of a memristor element defined by the Hanning window function

4. Prodromakis pencere fonksiyonu ile tasarlanan memristör elemanının FPGA tabanlı gerçekleştirimi

5. Coupling the FitzHugh-Nagumo Neuron Model with Memristive Synapse Structure in Neuromorphic Systems Nöromorfik Sistemlerde FitzHugh-Nagumo Nöron Modelinin Memristif Sinaps Yapisi ile Kuplajlanmasi

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Yayın (Scopus)

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H-İndeks (Scopus)

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