“Papers of School of Cognitive Sciences”
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A neural geometry approach comprehensively explains apparently conflicting models of visual perceptual learning,
Nature Human Behaviour 9(2025), [abstract]
2. S. Hashemirad, M. Abbaszadeh and A. Ghazizadeh,
Prefrontal cortex temporally multiplexes slow and fast dynamics in value learning and memory,
Nature Communications 16(2025), [abstract]
3. M. Daliri and Et. al,
Neuron-type-specific Contributions to Dynamic Coding during Flexible Sensorimotor Decisions in Frontoparietal Cortex,
Journal of Cognitive Neuroscience 37(2025), [abstract]
4. P. Payedar-Ardakani, Y. Gorji-Mahlabani, A. Ghanbaran and R. Ebrahimpour,
The impact of changes in daylight illuminance levels on architectural experiences in office environments using virtual reality and electroencephalogram,
Journal of Building Engineering 96(2025), [abstract]
5. M. Golmohamadian, M. Faraji, F. Fallah, F. Sharifizadeh and R. Ebrahimpour,
Flexibility in choosing decision policies in gathering discrete evidence over time,
Plos One (2025), [abstract]
6. M. Hatami, F. Yaghmaee and R. Ebrahimpour,
Improving Alzheimerâs disease classification using novel rewards in deep reinforcement learning,
Biomedical Signal Processing and Control 100(2025), [abstract]
7. H. Yazdani, A. Bosaghzadeh, R. Ebrahimpour and F. Dornaika,
A Computationalâ??Cognitive Model of Audio-Visual Attention in Dynamic Environments,
Big Data and Cognitive Computing 9(2025), [abstract]
8. P. Payedar-Ardakani , Y. Gorji-Mahlabani, A. Ghanbaran and R. Ebrahimpour,
Daylight illuminance levels, user preferences, and cognitive performance in office environments: Exploring an optimal illuminance range using virtual reality,
Building and Environment 258(2025), [abstract]
9. P. Payedar-Ardakani, Y. Gorji-Mahlabani, A. Ghanbaran and R. Ebrahimpour,
Improving deep learning in arrhythmia Detection: The application of modular quality and quantity controllers in data augmentation,
Biomedical Signal Processing and Control 91(2025), [abstract]
10. L. Yahyaie, R. Ebrahimpour and A. Koochari ,
Pupil Size Variations Reveal Information About Hierarchical Decision-Making Processes,
Cognitive Computation (2025), [abstract]
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