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Roxana Zeraati

Address: Max-Planck-Ring 8
72076 Tübingen
E-Mail: roxana.zeraati

 

Picture of Zeraati, Roxana

Roxana Zeraati

Position: Master student  Unit: Logothetis

I am a Master student of Neural Information Processing at the Graduate Training Centre of Neuroscience, International Max Planck Research School for Cognitive and Systems Neuroscience and now I am doing my Master thesis in "Neuronal self-organization and optimality" group under the supervision of Dr. Anna Levina.


Previously, I did my lab rotation project on " Modeling the Sharp-wave-ripple sequences with the Hawkes process" under the supervision of Dr. Michel Besserve.

Modeling Sharp-wave-ripple sequences with the Hawkes process (Lab Rotation Project)

Oct 2017 – Jan 2018

Supervisor : Dr. Michel Besserve, Max Planck Institue for Biological Cybernetics, Max Planck Institute for Intelligent Systems

Project abstract:

During slow-wave sleep, replay of newly encoded memories in the hippocampus co-occur with characteristic network patterns known as Sharp-wave-ripple (SPW-R) complexes. SPW-Rs can be detected by their signatures in local field potentials (LFP). It is believed that SPW-Rs are involved in memory consolidation, so understanding their dynamics may help us to understand the memory consolidation process. In this study we used Hawkes processes to model SPW-R sequences in LFPs recorded from anesthetized Macaque monkeys. An Expectation-Maximization (EM) algorithm was used to fit the Hawkes model on the data. First, by running this algorithm on synthetic data with known ground truth, we showed that with the EM algorithm we can estimate parameters close to the their true value; then we applied the method on experimental data. By using latent variables provided from the EM, we labeled SPW-Rs to differentiate the ones most likely triggered by some external input (immigrants) from the ones most likely triggered by previous SPW-Rs in the sequence (offsprings). We showed that offsprings have higher peak-to-peak amplitude in their sharp-waves and higher average frequency power in different frequency bands. Our results suggests that each immigrant may trigger subsequent more powerful offsprings through some recurrent interactions in the hippocampus or between the hippocampus and medial entorhinal cortex in order to enhance the process of memory consolidation.

A cognitive model for acute pain propagation using Cellular Automata (BSc thesis)

Jan 2014 – Jan 2015

Supervisor : Dr. Saeed Setayeshi, Amirkabir University of Technology (Tehran Polytechnic)

Project abstract:

Pain is an unpleasant sensory and emotional experience which warns about actual or potential tissue damage. Most of the studies for modelling pain have considered sensory aspects of pain; however there are some evidence suggesting a dichotomy between perception and sensation.

To model both sensory and cognitive aspects of pain we need to consider brain as a complex system. Here, we used cellular automata and Sugarscape model to model the perceived pattern of pain in the region where pain stimulation occurred, and simulations were done with NetLogo. In our model, we assumed a 2D space representing the perceived pain pattern in higher brain areas. We used results from previous models quantifying pain signal at the spinal cord level as an initial state randomly distributed between the agents of Sugarscape. Agents were representative of pain input signal and patches were representative of pain perceived places.

Our results showed that initial setups of agents for similar sugar distributions converged to similar patterns of pain meaning that the distribution of sugar which can be assumed as cognitive factors involving in pain perception can affect how a same pain signal is perceived in different ways.

Education:

M.Sc. in Neural Information Processing, Graduate Training Center of Neuroscience, Tübingen, Germany (2016 - present)

B.Sc. in Physics, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran (2011-2015)

B.Sc. in Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran (2011-2016)

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Articles (3):

Coletta S, Zeraati R, Nasr K, Preston-Ferrer P and Burgalossi A (May-2018) Interspike Interval Analysis and Spikelets in Presubicular Head-Direction Cells Journal of Neurophysiology Epub ahead.
Diamantaki M, Coletta S, Nasr K, Zeraati R, Laturnus S, Berens P, Preston-Ferrer P and Burgalossi A (April-2018) Manipulating Hippocampal Place Cell Activity by Single-Cell Stimulation in Freely Moving Mice Cell Reports 23(1) 32-38.
Bakouie F, Pishnamazi M, Zeraati R and Gharibzadeh S (August-2017) Scale-freeness of dominant and piecemeal perceptions during binocular rivalry Cognitive Neurodynamics 11(4) 319-326.

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Last updated: Monday, 22.05.2017