default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFrontiers in Computational Neuroscience, Volume 19
Volume 19, 2025
- Chenglong Zou
, Shounak Roychowdhury, Saim Rasheed, Raza Ali:
Editorial: Computer vision and image synthesis for neurological applications. - Lijuan Yang, Qiumei Dong, Da Lin, Chunfang Tian, Xinliang Lü:
MUNet: a novel framework for accurate brain tumor segmentation combining UNet and mamba networks. - Parsa Khalafi, Soroush Morsali, Sana Hamidi, Hamidreza Ashayeri, Navid Sobhi, Siamak Pedrammehr, Ali Jafarizadeh:
Artificial intelligence in stroke risk assessment and management via retinal imaging. - Jiayi Zheng, Yaping Wan, Xin Yang, Hua Zhong, Minghua Du, Gang Wang:
Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection. - Hafza Ayesha Siddiqa, Muhammad Farrukh Qureshi, Arsalan Khurshid, Yan Xu, Laishuan Wang, Saadullah Farooq Abbasi, Chen Chen, Wei Chen:
EEG electrode setup optimization using feature extraction techniques for neonatal sleep state classification. - Janet M. Baker, Peter Cariani:
Time-domain brain: temporal mechanisms for brain functions using time-delay nets, holographic processes, radio communications, and emergent oscillatory sequences. - Ye Yuan, Xi Chen, Jian Liu:
Editorial: Brain-inspired intelligence: the deep integration of brain science and artificial intelligence. - Deepika Koundal, Jussi Tohka:
Editorial: Computational intelligence for signal and image processing, volume II. - Jiakang Liu, Kai Li, Shuwu Li, Shangjun Liu, Chen Wang, Shouqiang Huang, Yuting Tu, Bo Wang, Pengpeng Zhang, Yuntian Luo, Guanqun Sun, Tong Chen:
A new method for identifying and evaluating depressive disorders in young people based on cognitive neurocomputing: an exploratory study. - Gabriela Krumm, Vanessa Arán Filippetti, Magaly Catanzariti, Diego M. Mateos:
Exploring the neural basis of creativity: EEG analysis of power spectrum and functional connectivity during creative tasks in school-aged children. - Lei Han:
AD-Diff: enhancing Alzheimer's disease prediction accuracy through multimodal fusion. - Stephen A. Wells, Paul G. Morris, Joseph D. Taylor, Alain Nogaret:
Estimation of ionic currents and compensation mechanisms from recursive piecewise assimilation of electrophysiological data. - Kehan Lang, Jianwei Fang, Guangyao Su:
NeuroFusionNet: cross-modal modeling from brain activity to visual understanding. - Darren J. Edwards:
Further N-Frame networking dynamics of conscious observer-self agents via a functional contextual interface: predictive coding, double-slit quantum mechanical experiment, and decision-making fallacy modeling as applied to the measurement problem in humans and AI. - Muhammad Umair, Jawad Ahmad, Nada Alasbali, Oumaima Saidani, Muhammad Hanif, Aizaz Ahmad Khattak, Muhammad Shahbaz Khan:
Decentralized EEG-based detection of major depressive disorder via transformer architectures and split learning. - Jihun Kim, Jee Hang Lee:
Prefrontal meta-control incorporating mental simulation enhances the adaptivity of reinforcement learning agents in dynamic environments. - Arij Daou, Hyunsu Lee:
Editorial: Hippocampal function and reinforcement learning. - Jing Jiang, You Li:
TourismNeuro xLSTM: neuro-inspired xLSTM for rural tourism planning and innovation. - Dominik Krenzer, Martin Bogdan:
Reinforced liquid state machines - new training strategies for spiking neural networks based on reinforcements. - Yuchen Yang, Xiaojuan Sun:
Regulation of sharp wave-ripples by cholecystokinin-expressing interneurons and parvalbumin-expressing basket cells in the hippocampal CA3 region. - Giulia Moreni, Licheng Zou, Cyriel M. A. Pennartz, Jorge F. Mejías:
Synaptic plasticity facilitates oscillations in a V1 cortical column model with multiple interneuron types. - Liduo Yin, Morgen Vandergiessen, Vinoth Kumar, Benjamin Conacher, Po-Chien Haku Chao, Michelle Theus, Erik Johnson, Kylene Kehn-Hall, Xiaowei Wu, Hehuang Xie:
Machine learning identifies genes linked to neurological disorders induced by equine encephalitis viruses, traumatic brain injuries, and organophosphorus nerve agents. - Abdoul Jalil Djiberou Mahamadou, Emma A. Rodrigues, Vasily A. Vakorin, Violaine Antoine, Sylvain Moreno:
Interpretable machine learning for precision cognitive aging. - Elena Pastorelli, Alper Yegenoglu, Nicole Kolodziej, Willem Wybo, Francesco Simula, Sandra Diaz-Pier, Johan Frederik Storm, Pier Stanislao Paolucci:
Simplified two-compartment neuron with calcium dynamics capturing brain-state specific apical-amplification, -isolation and -drive. - Joël Küchler, Katarina Vulic, Haotian Yao, Christian Valmaggia, Stephan J. Ihle, Sean Weaver, János Vörös:
Engineered biological neuronal networks as basic logic operators. - Jayani Hewavitharana, Kathleen Steinhofel, Karl Peter Giese, Carolina Moretti Ierardi, Amida Anand:
Computational analysis of learning in young and ageing brains. - Zhizhong Xing, Zhijun Meng, Gengfeng Zheng, Guolan Ma, Lin Yang, Xiaojun Guo, Li Tan, Yuanqiu Jiang, Huidong Wu:
Intelligent rehabilitation in an aging population: empowering human-machine interaction for hand function rehabilitation through 3D deep learning and point cloud. - Ashish Sharma, Akshat Saxena, Mradul Agrawal, Kunal Kishor, Deepti Kaushik, Prateek Jain, Arvind R. Yadav, Manob Jyoti Saikia:
iSeizdiag: toward the framework development of epileptic seizure detection for healthcare. - Shuwu Li, Kai Li, Jiakang Liu, Shouqiang Huang, Chen Wang, Yuting Tu, Bo Wang, Pengpeng Zhang, Yuntian Luo, Yanli Zhang, Tong Chen:
A new method for community-based intelligent screening of early Alzheimer's disease populations based on digital biomarkers of the writing process. - Mustafa Zeki, Tamer Dag:
Reductionist modeling of calcium-dependent dynamics in recurrent neural networks. - Nojod M. Alotaibi, Areej M. Alhothali, Manar S. Ali:
Multi-atlas ensemble graph neural network model for major depressive disorder detection using functional MRI data. - Aoshuang Ye, Dong Xu, Yichao Li, Jiawei Du, Zhiwei Wu, Junjie Tang:
Neuromorphic energy economics: toward biologically inspired and sustainable power market design. - Fawad Khan, Syed Yaseen Shah, Jawad Ahmad, Alanoud Al Mazroa, Adnan Zahid, Muhammed Ilyas, Qammer Hussain Abbasi, Syed Aziz Shah:
Generalizing location-centric variations to enhance contactless human activity recognition. - Xi Luo, Diana C. El Assal, Yanjun Liu, Samira Ranjbar, Ronan M. T. Fleming:
Constraint-based modeling of bioenergetic differences between synaptic and non-synaptic components of dopaminergic neurons in Parkinson's disease. - Lubna Kiran, Asim Zeb, Qazi Nida ur Rehman, Taj Rahman, Muhammad Shehzad Khan, Shafiq Ahmad, Muhammad Irfan Uddin, Muhammad Naeem, Shamsul Huda, Haitham A. Mahmoud:
Corrigendum: An enhanced pattern detection and segmentation of brain tumors in MRI images using deep learning technique. - Fatima Asiri, Wajdan Al Malwi, Tamara Zhukabayeva, Ibtehal Nafea, Abdullah Aziz, Nadhmi A. Gazem, Abdullah Qayyum:
Enhancing medical image privacy in IoT with bit-plane level encryption using chaotic map. - Pegah Ramezani, Achim Schilling, Patrick Krauss:
Analysis of argument structure constructions in a deep recurrent language model. - Shaohua Zhang, Yan Feng, Ruzhen Chen, Song Huang, Qianchu Wang:
CNN-BiLSTM and DC-IGN fusion model and piecewise exponential attenuation optimization: an innovative approach to improve EEG emotion recognition performance. - Bin Li, Tianyi Zheng, Reo Otsuki, Masato Sugino, Kenta Shimba, Kiyoshi Kotani:
Neural oscillation in low-rank SNNs: bridging network dynamics and cognitive function. - Fufeng Wang, Zihe Luo, Wei Lv, Xiaolin Zhu:
DTCNet: finger flexion decoding with three-dimensional ECoG data. - Xiangze Teng, Xiang Li, Benzheng Wei:
ModFus-PD: synergizing cross-modal attention and contrastive learning for enhanced multimodal diagnosis of Parkinson's disease. - Birger Johansson, Trond A. Tjøstheim, Christian Balkenius:
System-level brain modeling. - Ziyi Huang, Lei Wang:
The role of IP3 receptors and SERCA pumps in restoring working memory under amyloid β induced Alzheimer's disease: a modeling study. - Henrique Oyama, Takazumi Matsumoto, Jun Tani:
Modeling autonomous shifts between focus state and mind-wandering using a predictive-coding-inspired variational recurrent neural network. - James Humble:
Resource-dependent heterosynaptic spike-timing-dependent plasticity in recurrent networks with and without synaptic degeneration. - Roseline Nyange, Hemachandran Kannan, Channabasava Chola, Saurabh Singh, Jaejeung Kim, Anil Audumbar Pise:
Analytical computation for segmentation and classification of lumbar vertebral fractures. - Peter Cariani, Janet M. Baker:
Survey of temporal coding of sensory information.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-08-17 21:09 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
