Improving the Diagnosis of COVID-19 by using a combination of Deep Learning Models von I. Zabbah, K. Layeghi, Reza Ebrahimpour

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Interpersonal alignment of neural evidence accumulation to social exchange of confidence von Esmaily, Jamal, Zabbah, Sajjad, Ebrahimpour, Reza, Bahrami, Bahador

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A temporal hierarchical feedforward model explains both the time and the accuracy of object recognition von Heidari-Gorji, Hamed, Ebrahimpour, Reza, Zabbah, Sajjad

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Resolving the neural mechanism of core object recognition in space and time: A computational approach von Sadeghnejad, Naser, Ezoji, Mehdi, Ebrahimpour, Reza, Zabbah, Sajjad

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A fully spiking coupled model of a deep neural network and a recurrent attractor explains dynamics of decision making in an object recognition task von Sadeghnejad, Naser, Ezoji, Mehdi, Ebrahimpour, Reza, Qodosi, Mohamad, Zabbah, Sajjad

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Inherent Importance of Early Visual Features in Attraction of Human Attention von Zabbah, Sajjad, Zabbah, Iman, Ebrahimpour, Reza, Eghdam, Reza

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The syllables of human movement under threat von Hernandez, Ulises Daniel Serratos, Brookes, Jack, Hall, Samson, Sporrer, Juliana K., Zabbah, Sajjad, Bach, Dominik R.

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Movement tracking and action classification for human behaviour under threat in virtual reality von Hernandez, Ulises Daniel Serratos, Brookes, Jack, Hall, Samson, Sporrer, Juliana K., Zabbah, Sajjad, Bach, Dominik R.

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Sequence-dependent sensitivity explains the accuracy of decisions when cues are separated with a gap von Tohidi-Moghaddam, Maryam, Zabbah, Sajjad, Olianezhad, Farzaneh, Ebrahimpour, Reza

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Biomechanical constraints on escape from threat in virtual reality: Preliminary findings von Hutabarat, Yonatan, Kornemann, Lukas, Hernandez, Ulises Daniel Serratos, Sporrer, Juliana K., Brookes, Jack, Hall, Samson, Zabbah, Sajjad, Bach, Dominik R.

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Residual Information of Previous Decision Affects Evidence Accumulation in Current Decision von Olianezhad, Farzaneh, Zabbah, Sajjad, Tohidi-Moghaddam, Maryam, Ebrahimpour, Reza

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Sequence-dependent sensitivity explains the accuracy of decisions when cues are separated with a gap von Tohidi-Moghaddam, Maryam, Zabbah, Sajjad, Olianezhad, Farzaneh, Ebrahimpour, Reza

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Improving deep learning in arrhythmia Detection: The application of modular quality and quantity controllers in data augmentation von Usef Khosravi Khaliran, Mohammad, Zabbah, Iman, Faraji, Mehrbod, Ebrahimpour, Reza

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Functional sophistication in human escape von Sporrer, Juliana K., Brookes, Jack, Hall, Samson, Zabbah, Sajjad, Serratos Hernandez, Ulises Daniel, Bach, Dominik R.

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Improving the Diagnosis of Arrhythmia using a Combination of Neural Networks in a Hierarchical Way von Atena Abidi, zahra Heydaran Daroogheh Amnyieh, Hanieh Jamahmoodi, Setare Salarniya, Iman Zabbah

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The impact of the lateral geniculate nucleus and corticogeniculate interactions on efficient coding and higher-order visual object processing von Zabbah, Sajjad, Rajaei, Karim, Mirzaei, Amin, Ebrahimpour, Reza, Khaligh-Razavi, Seyed-Mahdi

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Diagnosis of Coronary Heart Disease using Mixture of Experts Method von Majid Hassanzadeh, Iman Zabbah, Kamran Layeghi

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Predicting the human reaction time based on natural image statistics in a rapid categorization task von Mirzaei, Amin, Khaligh-Razavi, Seyed-Mahdi, Ghodrati, Masoud, Zabbah, Sajjad, Ebrahimpour, Reza

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Modeling Breast Cancer Using Data Mining Methods von Parvaneh Dehghan, Maedeh Mogharabi, Iman Zabbah, Kamran Layeghi, Ali Maroosi

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Comparison of Data Mining Algorithms\' Efficiency in Thyroid Disease Diagnosis von Mohsen Rezaei, Nazanin Zahra Jafari, Hossein Ghaffarian, Masoud Khosravi Farmad3, Iman Zabbah, Parvaneh Dehghan

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