Affiliated Faculty

We are proud to be affiliated with the faculty members listed below and welcome any faculty member or graduate student at Tel Aviv University to be affiliated with the Alfredo Federico Strauss Center and the Human MRI Unit. 

 

 

 

 

Prof. Yaniv Assaf

Department of Neurobiology, Faculty of Life Sciences and Sagol School of Neuroscience

 

 

 

We study structural brain plasticity and connectivity, and developing tools to measure microstructural brain properties.

 


 

 

 

Prof. Galit Yovel

School of Psychological Sciences, Faculty of Social Sciences and Sagol School of Neuroscience

 

 

 

We study the cognitive and neural mechanisms of person recognition. We use neuroimaging methods to examine the roles faces, bodies, voices and biological motion play in the generation of the multi-modal, dynamic representation of a person.

 


 

 

 

 

Prof. Daphna Joel

School of Psychological Sciences , Faculty of Social Sciences and Sagol School of Neuroscience 

 

 

 

We aim to characterize the effects of sexual assault on the adult brain. To this end, we assess the macro and micro-structure of participants’ grey and white matter, as well as their spontaneous brain activity during rest.

 


 

 

 

 

Prof. Lilach Shalev Mevorach

School of Education, Faculty of Humanities and Sagol School of Neuroscience

 

 

 

We study neuropsychology of attention and Attention Deficit Hyperactivity Disorder (ADHD) using functional MRI, diffusion MRI and EEG.

 


 

 

 

 

Dr. Dino Levy

School of Management and Sagol School of Neuroscience 

 

 

 

 

We use interdisciplinary approach (advanced behavioral methods, functional MRI, EEG, GSR and eye tracking) to study the effects of context and internal state on decision-making and on value representation in the brain.

 


 

 

 

 

Dr. Tom Shonberg

Department of Neurobiology, Faculty of Life Sciences and Sagol School of Neuroscience

 

 

 

We focus on the neural basis of behavioral change using the combination of novel behavioral manipulations, eye tracking, physiological measures and functional MRI.

 


 

 

 

 

Prof. Roy Mukamel

School of Psychological Sciences, Faculty of Social Sciences and Sagol School of Neuroscience

 

 

 

We study the brain circuits underlying integration and association of perceptual cues with the appropriate motor actions through imitation and observational learning using multiple methods such as fMRI, EEG and intra-cranial EEG.

 


 

 

 

 

Prof. Yair Bar Haim

School of Psychological Sciences, Faculty of Social Sciences and Sagol School of Neuroscience

 

 

 

Our research focus is on anxiety and stress related disorders (role of cognitive biases in the etiology and maintenance of anxiety disorders) using diffusion MRI.

 


 

 

 

 

Dr. Noam Ben-Eliezer

Depertment of Biomedical Engineering, The Iby and Aldar Fleischman Faculty of Engineering

 
 
 

 

Our research resides on the interface between the development of novel methodologies for non-invasive MRI, and their application for studying tissues’ structure and function in biology and medicine.

 



 

 

 

Dr. Debbie Rand

Department of Occupational Therapy, Stanley Steyer School of Health Professions, Sackler Faculty of Medicine 

 

 

 

Our research focuses on achieving a better understanding of the factors hindering and facilitating recovery post-stroke. We have developed interventions aimed to improve the motor recovery and executive functions deficits of these individuals, in order to enhance function in daily living.

 


 

 

 

Dr. Sigal Portnoy

Department of Occupational Therapy, Stanley Steyer School of Health Professions, Sackler Faculty of Medicine 

 
 
 

 

 We study motor mechanisms and rehabilitation strategies. 

 



 

 

 

Prop. Navah Ratzon

Department of Occupational Therapy, Stanley Steyer School of Health Professions, Sackler Faculty of Medicine 

 

 

Our research 

 



 

 

 

Dr. Ido Tavor

Department of Anatomy, Sackler Faculty of Medicine

 

 

 

We study the relations between brain structure, function and behavior by predicting variability in brain activity and human behavior from brain anatomy and connectivity measurements 

 



 

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