Galit got her PhD at the University of Chicago under the supervision of Jerre Levy and Ken Paller. She then continued for a post-doc position in the laboratory of Nancy Kanwisher at MIT. In 2005 she joined Tel Aviv University where she set up her lab to study the cognitive and neural basis of person recognition.deep learning algorithms in order to develop computational models of human face recognition.
Naphtali was a student in the Lautman interdisciplinary program for outstanding students and got an MA degree in Psychobiology. In his PhD dissertation he revealed a subset of facial features that are critical for human face recognition and examined the representations of these features in deep learning algorithms. He is intersted in the similarities and differences between the mechanisms of face recognition in humans and deep learning algorithms in order to develop computational models of human face recognition.
Nitzan obtained his BSc in Computer Science and Cognitive and Brain Sciences from the Hebrew University, followed by his MA in Cognitive and Brain Sciences at the Hebrew University. His PhD dissertation focused on exploring the distinctive characteristics of individuals’ gaze behavior. Currently, he is engaged in research that investigates the connection between visual experiences and cognitive abilities by
combining behavioral measures and deep neural networks.
Rotem obtained her BSc in Biology and Psychology with an emphasis on neuroscience from Tel Aviv University, followed by MSc and PhD in Brain Sciences from the Weizmann Institute of Science. Her dissertation focused on exploring the neural mechanisms of internally and externally-driven cognitive states. Currently, she is engaged in investigating relational coding mechanisms in visual and mathematical tasks.
Adva completed her MSc at the Sagol School of Neuroscience and she is also our former lab manager and programmer. She completed her undergraduate studies in computer science and psychology with an emphasis on neuroscience. She is interested in the differences between the representation generated in perception and memory and the contributions of visual and semantic information to these representations.
Idan is a PhD student at the Sagol School of Neuroscience and the center for AI and Data Science. He is using visual and language deep learning algorithms to model the representation of images and natural movies in the human mind.
Maayan got her BA in psychology and musicology at the Hebrew University and her MA in social psychology at Tel Aviv University. Her research is focused on face generalization – the ability to recognize faces in various contexts. She is mostly interested in the influence of social motivation and construal levels on this ability.
Argaman got her MA in the interdisciplinary psychology for excellence program at Tel Aviv University, and her PhD is a full collaboration with Dr Yaara Yeshurun of SOCON in the wild lab. Her research focuses on how dynamic facial expressions are affected by who you spend time with in social interactions.
Shiri is studying for her MSc at the Sagol School of Neuroscience in the Neural Computation & Brain Modeling track. She obtained her BSc in Biomedical Engineering and Biology with emphasis on Neuroscience at Tel Aviv University. She is interested in using visual-language deep neural networks as a tool to analyze social information in natural movies.
Lior is an MA student in the cognition program. For his thesis, he examines the contribution of perceptual and semantic information in individual-based category learning. He completed his B.Sc in Computer Engineering at Ben Gurion University and since he has been working in the hi-tech industry. Lior is interested in understanding the psychology behind technology and its influence on our lives.
Itay is currently studying for his MSc at the Sagol School of Neuroscience in the Neural Computation & Brain Modeling track. He obtained his BA in Psychology and Economics in Tel Aviv University. In the lab, Itay is interested in the use of neural networks as a tool for deeper understanding brain mechanisms.
Alon is a student in the school of Electrical Engineering. He is interested in developing an algorithm that can detect social interactions from video.
Anat got her B.A in Tel Aviv University in Psychology and the interdisciplinary program in Humanities, and is currently studying for an MSc in Sagol School of Neuroscience in the Neural Computation & Brain Modeling track. She is researching the role of abstract language in our mental representation of faces using deep neural network models.
Noga is a research assistant in our lab. She is been working with Nitzan on behavioral experiments that examine the dynamics of mental representations during real-life concept learning. She is an undergraduate student in Psychology and Managment at Tel Aviv University.
Yaara was a post-doc in the lab and worked on effects of clutter on the representation of objects in object category selective cortex. She was a post doctoral fellow in the laboratory of John Duncan in Cambridge, UK. She is currently a faculty member in the department of Neuroengineering at Bar Ilan University. Erez lab.
Libi got her BSc in Math and Physics and her MA in Cognitive Sciences at the Hebrew University. She started her PhD in the lab in 2015 and is interested in the neural representation of multiple objects and the interaction between objects and scenes.
Linoy completed her undergrad studies in the psychology & biology with emphasis on neuroscience prestigious undergraduate program at Tel Aviv University. She completed her MSc studies in the Sagol school of Neuroscience. She has been exploring the factors that make us so good in recognizing familiar faces by assessing the effect of perceptual and conceptual information on face recognition.
Noa completed her undergraduate studies in Biology and Philosophy as part of the program of consciousness studies. She completed her MSc in the Sagol School of Neuroscience. As part of her PhD Noa is researching the role of motion in person recognition using behavioral, EEG, fMRI and virtual reality tools.
Boaz was and will always be the first graduate student in the lab. He is currently a post-doctoral fellow in the laboratory of Bob Knight at UC Berkeley. He was a student in the direct PhD BCN (Behavioral Cognitive Neuroscience) program. For his PhD thesis he embarked on the challenging simultaneous ERP-fMRI and TMS-EEG recording to investigate the relationship between ERP and fMRI face-selective neural markers.
Talli completed her PhD in the direct PhD Neuroscience program. She has worked in our lab as a research assistant for two years during her undergraduate studies. For her PhD she ran a series of elegant studies that examined the cognitive and neural basis of human body processing with behavioral, fMRI and TMS. She was a post-doc in Marius Peelen’s lab. She is currently working as a principal Imaging Scientist at GrayMatters. She is also a talented musician.
Vadim has completed his PhD in 2012. He has been using fMRI to study the representation of faces in the occipital-temporal cortex. He is currently studying the neural basis of consciousness as a post-doctoral fellow under the supervision of Geraint Rees at UCL and Moshe Bar at Bar Ilan University. He is a faculty member in the Gonda Center of Bar Ilan Universtiy.
Sharon got a BA degree in Computational Neuroscience at Brandeis University and an MA degree in computer sciences at the Weizmann Institute. Her PhD examined the role of various types of configural information in face perception. She is a staff scientist at MIT in the laboratory of Pawan Sinha.
Michal completed her BSc in Psychology and Biology with emphasis in neuroscience and an MA degree in Psychobiology in four years in the direct MA track of the neuroscience program. She is starting her PhD in the Sagol School of Neuroscience and will be working on the representation of dynamic and static images in the occipital-temporal visual cortex. Michal is a staff scientist in the laboratory of Ido Tavor in the School of Medicine.
Mandy is currently studying for her MSc at the Sagol School of Neuroscience in the Neural Computation & Brain Modeling course.
She obtained her BSc in Computer Science and Psychology at Tel Aviv University. She is interested in similarities and differences between the representation and recognition of faces in humans and deep neural networks.
Tal is studying towards an Msc degree at the Sagol school of Neuroscience. She completed her BA degree in Cognition and Psychology, focusing on Neurosciences at Ben-Gurion University. Her research tries to account for the differences in performance humans show for familiar and unfamiliar faces
Dema is student in the direct MA track in the brain and cognition program. For her MA thesis she is using fMRI to examine whether face-selective brain areas are sensitive to the subset of features that were found to be useful for face recognition in behavioural experiments.
Mariana is a MA student in Clinical Psychology. Her research deals with the contribution of several nonverbal communication paths to the recognition of personality traits and affective status.
Maya is student in the direct MA track in the brain and cognition program. For her MA thesis she is working on an fMRI study that examines the representation of conceptual and perceptual information in face areas for familiar and unfamiliar faces.
Michal is student in the direct MA track in the brain and cognition program. Michal is interested in the role of conceptual and perceptual information in recognition of faces from other races.
Shirley got a BA degree in Behavioral Sciences at Ben-Gurion University. For her thesis she has examined the effect of inference (e.g. trait, gender) on the representation that we generate for faces.
Adi Shlomi got an MA in the Psychobiology program. She is about to start her PhD studies at Bar Ilan University. Adi has been employing the eye tracking system to examine how pupil size interacts with object recognition.
Elinor completed a PhD under the supervision of Danny Algom and Yaacov Trope. During the last year of her PhD she ran a series
of fMRi studies that examined whether distance is represented in the object and scene selective areas. She then moved to a post-doc at NYU with Trope and now is a post-doc at Harvard with Josh Greene.
Sarit got her BSc in cognitive sciences and math at the Hebrew University. In our lab she worked on her MA thesis, which attempted to extract single trial ERPs for data collected simultaneously with fMRI. Sarit was a graduate student at NYU in the laboratory of Marissa Caruso and a post doc at Harvard Medical School in the Kreiman lab. She is currently a faculty member in the faculty of Education at Haifa
University.
Tamar got a BSc in Biology and Psychology at Tel Aviv University. She started working in our lab as an undergraduate helping Boaz collecting EEG-fMRI data simultaneously. For her MA thesis in Psychobiology she examined the correlations?between EEG and fMRI signals for faces, bodies and words.
Tatiana worked in our lab during her MA studies in Psychobiology. In a series of behavioral studies she examined why the body inversion effect disappears for headless bodies. She is currently a PhD student under the supervision of Matti Mintz.
Eyal completed his MA in Cognitive Psychology in 2013. He has developed original analysis tools to examine effects of stimulus, task and individual differences on eye tracking?patterns. His findings show remarkable stability of eye tracking patterns within individuals across sessions that have?taken place 18 months apart.
Idan is currently a graduate student at MIT in the BCS program. Here, he was a student in the interdisciplinary program for excellent students. For his thesis he has examined a face space account for invariant representation of face identity.
Keren was an MA student in the Cognitive area. Her thesis examined the role of passive and active experience with faces on the other race effect. For that she developed a recognition test with newborn faces. Her data showed that massive but passive exposure to newborn faces (neonatology nurses) does not improve face reconition wheres a 3 day of individuation training does improve face recognition.
Michal is Med School student and completing her M.Sc in neurobiology. For her thesis Michal is studying the effect of experience on face recognition using behavioral, eye tracking and EEG. Michal has been working in the lab also during her undergraduate studies as a research assistant.
Jonathan was our lab manager and programmer in 2010-2013. He completed his MSc degree in the Sagol School of Neuroscience. His work showed that face areas that are sensitive to dynamic facial information are also selective to human voices.
Yuval got her M.Sc. at the Sagol School of Neuroscience in the cognitive neuroscience program. She completed her BA in psychology at Tel Aviv University. She is interested in cognitive tendencies and biases in face recognition. Yuval is our lab manager.
Inbal is pursuing her undergraduate degree in computer science and psychology with emphasis in neuroscience. She was our lab manager.
Ron is our lab manager and gifted programmer, and has a BSc in computer science.
Gali is an undergraduate student in computer science and psychology with emphasis on neuroscience at Sagol school of Neuroscience. She was a web developer in our lab.
Itai is a research assistant in the lab. He has been working with Noa on behavioral and EEG experiments that examine the role of motion in face-body and face-voice integration. He is currently conducting a study that examines the role of variability in the representation of familiar faces.
Merav has joined our lab to work on her research project during her 3rd year in the neuroscience undergraduate program. She has now completed her studies and stayed in our lab as a research assistant working on studies that examine face body and face voice interactions.
Chen completed a B.Sc. degree in the Psychology-Biology Neuroscience track with honors in 2010. He joined the lab in?the summer of 2009 to aid with data analysis of simultaneously collected EEG-fMRI data and is the creator of gyfMRI SPM analysis tool.