PhD and MSc Theses

PhD and MSc Theses, since 1988

Advisor PROF. Ron Meir
Advisor’s Email
Advisor’s Home-Site
No of theses 54
Department Electrical and Computer Engineering
Department Web Site
Student’s Name Graduation Year Degree Abstracts Research Name
Epstein Baruch 2020 PhD Abstracts Learning and Prior Knowledge about Structure: Theroy and Applications
Harel Yuval 2019 PhD Abstracts Optimal Encoding of Dynamic Stimuli in Sensory Neural Populations
Soudry Daniel 2013 PhD Abstracts Neurons: from Biophysics to Functionality
Wallach Avner 2012 PhD Abstracts The Response Clamp: A Control Based Approach for the Study of Neural Systems; Method and Applications
Di Castro Dotan 2011 PhD Abstracts Aspects of Actor Critic Learning: Theory and Experiments
Peleg Dori 2008 PhD Abstracts Effective Optimization Procedures for Machine Learning Based on Data-Dependent Error Bounds
Trainin Ehud 2012 PhD Abstracts The Joint Action of Biomechanical and Neural Control in Determining Motor Behavior: A Computational Study
Karniel Amir 2000 PhD Learning Motor Control of Redundant Systems
Kanter Ayelet 2008 MSc Abstracts The Impact of Synaptic Depression on Up-Down States in Neural Networks :Dynamical Systems’ Persprctive
Sandhaus Haggit 2003 MSc Abstracts Locating Activity Regions in the Brain Using Methods of Source Separation
Michlin Maria 1996 MSc Recognition of Handwritten Digits Via Neural Networks
Peleg Amit 2022 MSc Abstracts Meta Learning in Linear Bandits
Shimkin Izchak 2022 MSc Abstracts Exploration in Model-Based Reinforcement Learning with Stochastic Dynamics
Peer Oren 2022 MSc Abstracts Using Ensembles for Reducing the Estimation Bias in Q-Learning Algorithms
Silbak Jumana 2021 MSc Abstracts Geometric Analysis of the Dynamic Connectivity of Biological and Artifical Neural Networks
Linial Ori 2020 MSc Abstracts Generative ODE Modeling with Known Unknowns
Raveh Or 2020 MSc Abstracts Learning and Communication in a Multi-Agent Setup
Harosh Omri 2019 MSc Abstracts Exploration in Continuous Domains using Pseudo-Counts
Avinu Maya 2019 MSc Abstracts Analyzing Neuronal Signals using Geometric Methods
Arad Eran 2019 MSc Abstracts Comparative Research of Algorithms for the Contextual Bandits Problem
Abassi Ahmad Zaid 2018 MSc Abstracts Lower-Dimensional Representation: Compression, Faithfulness and Relevance
Eizner Yehoshua 2018 MSc Abstracts Reinforcement Learning as an Organizing Principle for Biological Navigation
Yaacoby Eyal 2017 MSc Abstracts Efficient Exploration for the Bandit Multiclass Problem
Hazan Alon 2017 MSc Abstracts Learning an Attention Model Artificial in an Visual System
Horon Reuven 2016 MSc Abstracts Reverse Engineering of Recurrent Neural Networks – 3 test cases
Katz Shahar 2015 MSc Abstracts A Bayesian View of Spontaneous Neural Activity as an Internal Representation of the Environment – a Neural Network Model
Dordek Yedidyah 2015 MSc Abstracts From Place-Cells to Grid-cells: A Trip between Dimensions
Even-Chen Nir 2014 MSc Abstracts Intrinsic Modeling of Repetitive Time Series with Applicarion for Analysis of Event-Related Potentials
Zananiri Rani 2013 MSc Abstracts Optimal Encoding in Sensory Systems
Tamar Aviv 2011 MSc Abstracts Integrating Partial Model Knowledge in Model Free RL Algorithms
Avner Orly 2010 MSc Abstracts Spike Train Decoding of Analog Signals with a Biologically Inspired Encoding Scheme
Yaeli Eran Steve 2010 MSc Abstracts Optimal Neural Encoding – Mathematical Foundations and Biological Implications
Volkinshtein Dmitry 2009 MSc Abstracts On the Existence and Feasibility of a Forward Model in Motor Control
Litichever Gil 2009 MSc Abstracts Multi Model Bayesian Reinforcement Learning
Bobrowski Omer 2008 MSc Abstracts Real Time Spike Train Decoding by Neural Networks
Aizenshtark Boaz 2007 MSc Abstracts On the Performance of Echo State Networks
Di Castro Dotan 2007 MSc Abstracts Population Behavior of Neuronal Networks
Baras Dorit 2006 MSc Abstracts Direct Policy Search in Reinforcement Learning and Synaptic Plasticity in Biological Neural Networks
Zingman Igor 2006 MSc Abstracts Analysis and Classification of Tissue Section Images
Desyatnikov Ilya 2005 MSc Abstracts Error Correcting Codes and Performance Bounds for Multi- Category Classification
Lebanony Eyal 2005 MSc Abstracts Time Series Modeling using Bayesian Networks
Benjo Shimon 2004 MSc Abstracts Performance Analysis for Mixture Classifiers using Local Methods
Azran Arik 2004 MSc Abstracts Data Dependent Risk Bounds and Algorithms for Hierarchical Mixture of Experts Classifiers
Rudyk Eduard 2003 MSc Abstracts On Role of Recurrent Inhibition in Low-Level Motor Control
Kisler Rachel 2003 MSc Abstracts Spatial-Spectral Sampling Technique for Color Images
Leifman George 2003 MSc Abstracts Determining the Similarity of Three-Dimensional Objects using Relevance Feedback
Weltsch-Cohen Yariv 2002 MSc Abstracts AGC Models for Signal Processing in the Primary Visual Cortex
Guttman Omri 2001 MSc Classification Using Projections onto a Single Dimension
Ben David Shay 1999 MSc Time Series Modeling Using Mixtures of Experts
Bar-Sella Ran 1997 MSc Aspects of Finite Codebook Vector Quantizer Design Assessment
Pisarevski Felix 1996 MSc Comparative Study on Non Linear Time Series Prediction Methods
Wirsansky Eyal 1996 MSc Creating Modular Neural Networks Using Genetic Algorithms
Zeevi Assaf 1996 MSc Mixture Based Functional Estimation
Shimron Efrat 2009 MSc Abstracts A Model for “What” and “Where” Information in the Cortex