Cognitive neuroscience lab
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The Department of Cognitive Neuroscience at the University of Tabriz is equipped with advanced research laboratories that support interdisciplinary education, cutting-edge research, and technological innovation in cognitive neuroscience. Our facilities provide state-of-the-art infrastructure for investigating brain function, cognition, behavior, and neurotechnology through human and animal studies.
The Department currently comprises three major research laboratories:
Neural Cognition and Brain Dynamics Laboratory
The Neural Cognition and Brain Dynamics Laboratory investigates the neural mechanisms underlying cognition and behavior using advanced electrophysiological and neurophysiological techniques. The laboratory focuses on the temporal dynamics of brain activity and neural communication during cognitive processes.
Research activities include:
- Electroencephalography (EEG) /Event-Related Potentials (ERP)
- Local Field Potential (LFP) Recording
- Animal EEG
- Stereotaxic Neurosurgery
- Behavioral Neuroscience
- Decision-Making Models
- Social Neuroscience
- Neural Oscillations
- Brain Connectivity Analysis
The laboratory is equipped with modern EEG/ERP and LFP recording systems, cognitive assessment tools, and advanced software for brain signal acquisition and analysis.
Virtual Cognition Laboratory
The Virtual Cognition Laboratory provides immersive experimental environments for investigating cognition, perception, behavior, and human interaction using virtual reality technologies.
The laboratory integrates Virtual Reality with cognitive neuroscience methods to create ecologically valid experimental paradigms for studying complex cognitive functions.
Research areas include:
- Virtual Reality (VR)
- Immersive Neuroscience
- Eye Tracking
- Spatial Navigation
- Human–Computer Interaction
- Embodied Cognition
- Cognitive Rehabilitation
The laboratory enables the simultaneous integration of Virtual Reality with Eye Tracking, EEG/ERP, and non-invasive brain stimulation techniques.
Computational Cognition Laboratory
The Computational Cognition Laboratory focuses on computational approaches to understanding brain function through advanced data analysis, mathematical modeling, and artificial intelligence.
Research activities include:
- Computational Neuroscience
- Artificial Intelligence
- Machine Learning
- Brain Signal Processing
- Computational Modeling
- Brain Network Analysis
- Neural Decoding
- Brain–Computer Interfaces (BCI)
- Neuroinformatics
The laboratory provides computational tools for analyzing electrophysiological, behavioral, and multimodal neuroscience data.
Neuromodulation Unit
The Department also operates a dedicated Neuromodulation Unit for investigating causal brain–behavior relationships using non-invasive brain stimulation technologies.
Available techniques include:
- Transcranial Magnetic Stimulation (TMS)
- Transcranial Direct Current Stimulation (tDCS)
- Transcranial Alternating Current Stimulation (tACS)
- Transcranial Random Noise Stimulation (tRNS)
Research applications include:
- Neuroplasticity
- Cognitive Enhancement
- Cognitive Rehabilitation
- Motor Learning
- Clinical Neuroscience
- Brain Stimulation Research
Research Infrastructure
The Department integrates a comprehensive range of neuroscience technologies, including:
- Electroencephalography (EEG)
- Event-Related Potentials (ERP)
- Eye Tracking
- Virtual Reality (VR)
- Transcranial Magnetic Stimulation (TMS)
- Transcranial Electrical Stimulation (tDCS, tACS, tRNS)
- Animal Electrophysiology (LFP)
- Cognitive Assessment
- Computational Neuroscience
- Artificial Intelligence
- Brain Signal Analysis
Research Vision
The laboratories of the Department of Cognitive Neuroscience are committed to advancing interdisciplinary research that bridges neuroscience, psychology, medicine, engineering, computer science, and artificial intelligence. Through innovative research, international collaboration, and state-of-the-art technologies, the Department aims to contribute to a deeper understanding of brain function and to the development of evidence-based approaches for improving cognitive health and quality of life.