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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 10

Issue Published : 115

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Paper Title: Real-Time Visual and Auditory Brain Process Center Analysis Using EEG and Deep Learning
Authors Name: Aakash SG , Raghul K , Ramya R
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IJRTI_202083
Published Paper Id: IJRTI2504115
Published In: Volume 10 Issue 4, April-2025
DOI:
Abstract: This paper presents a novel approach to real-time decoding of visual and auditory brain signals using electroencephalography (EEG) data and advanced deep learning models. With the integration of transformer-based models for visual stimuli and a hybrid DALL-E/RNN architecture for auditory stimuli, we address current challenges in decoding accuracy and processing speed. The proposed method demonstrates improved signal fidelity and decoding efficiency, facilitating applications in neuro prosthetics, cognitive neuroscience, and assistive technology. Results indicate a significant performance enhancement over conventional GAN-based models. This work provides a foundational step toward efficient and scalable brain-computer interfaces capable of processing multi-modal brain signals in real time.
Keywords: Real-time decoding, Brain signals, Electroencephalography (EEG), Deep learning, Visual stimuli, Auditory stimuli, Cognitive neuroscience, GAN-based models
Cite Article: "Real-Time Visual and Auditory Brain Process Center Analysis Using EEG and Deep Learning", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b120-b123, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504115.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2504115
Registration ID:202083
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: b120-b123
Country: Chennai, Tamil Nadu, India
Research Area: Science & Technology
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504115
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504115
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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