1 |
|
Silbak Jumana |
2021 |
MSc |
Abstracts
|
Geometric Analysis of the Dynamic Connectivity of Biological and Artifical Neural Networks |
2 |
|
Linial Ori |
2020 |
MSc |
Abstracts
|
Generative ODE Modeling with Known Unknowns |
3 |
|
Raveh Or |
2020 |
MSc |
Abstracts
|
Learning and Communication in a Multi-Agent Setup |
4 |
|
Epstein Baruch |
2020 |
PhD |
Abstracts
|
Learning and Prior Knowledge about Structure: Theroy and Applications |
5 |
|
Arad Eran |
2019 |
MSc |
Abstracts
|
Comparative Research of Algorithms for the Contextual Bandits Problem |
6 |
|
Harosh Omri |
2019 |
MSc |
Abstracts
|
Exploration in Continuous Domains using Pseudo-Counts |
7 |
|
Avinu Maya |
2019 |
MSc |
Abstracts
|
Analyzing Neuronal Signals using Geometric Methods |
8 |
|
Harel Yuval |
2019 |
PhD |
Abstracts
|
Optimal Encoding of Dynamic Stimuli in Sensory Neural Populations |
9 |
|
Abassi Ahmad Zaid |
2018 |
MSc |
Abstracts
|
Lower-Dimensional Representation: Compression, Faithfulness and Relevance |
10 |
|
Eizner Yehoshua |
2018 |
MSc |
Abstracts
|
Reinforcement Learning as an Organizing Principle for Biological Navigation |
11 |
|
Hazan Alon |
2017 |
MSc |
Abstracts
|
Learning an Attention Model Artificial in an Visual System |
12 |
|
Yaacoby Eyal |
2017 |
MSc |
Abstracts
|
Efficient Exploration for the Bandit Multiclass Problem |
13 |
|
Horon Reuven |
2016 |
MSc |
Abstracts
|
Reverse Engineering of Recurrent Neural Networks - 3 test cases |
14 |
|
Dordek Yedidyah |
2015 |
MSc |
Abstracts
|
From Place-Cells to Grid-cells: A Trip between Dimensions |
15 |
|
Katz Shahar |
2015 |
MSc |
Abstracts
|
A Bayesian View of Spontaneous Neural Activity as an Internal Representation of the Environment - a Neural Network Model |
16 |
|
Even-Chen Nir |
2014 |
MSc |
Abstracts
|
Intrinsic Modeling of Repetitive Time Series with Applicarion for Analysis of Event-Related Potentials |
17 |
|
Zananiri Rani |
2013 |
MSc |
Abstracts
|
Optimal Encoding in Sensory Systems |
18 |
|
Soudry Daniel |
2013 |
PhD |
Abstracts
|
Neurons: from Biophysics to Functionality |
19 |
|
Wallach Avner |
2012 |
PhD |
Abstracts
|
The Response Clamp: A Control Based Approach for the Study of Neural Systems; Method and Applications |
20 |
|
Trainin Ehud |
2012 |
PhD |
Abstracts
|
The Joint Action of Biomechanical and Neural Control in Determining Motor Behavior: A Computational Study |
21 |
|
Tamar Aviv |
2011 |
MSc |
Abstracts
|
Integrating Partial Model Knowledge in Model Free RL Algorithms |
22 |
|
Di Castro Dotan |
2011 |
PhD |
Abstracts
|
Aspects of Actor Critic Learning: Theory and Experiments |
23 |
|
Avner Orly |
2010 |
MSc |
Abstracts
|
Spike Train Decoding of Analog Signals with a Biologically Inspired Encoding Scheme |
24 |
|
Yaeli Eran Steve |
2010 |
MSc |
Abstracts
|
Optimal Neural Encoding - Mathematical Foundations and Biological Implications |
25 |
|
Litichever Gil |
2009 |
MSc |
Abstracts
|
Multi Model Bayesian Reinforcement Learning |
26 |
|
Shimron Efrat |
2009 |
MSc |
Abstracts
|
A Model for "What" and "Where" Information in the Cortex |
27 |
|
Volkinshtein Dmitry |
2009 |
MSc |
Abstracts
|
On the Existence and Feasibility of a Forward Model in Motor Control |
28 |
|
Kanter Ayelet |
2008 |
MSc |
Abstracts
|
The Impact of Synaptic Depression on Up-Down States in Neural Networks :Dynamical Systems' Persprctive |
29 |
|
Bobrowski Omer |
2008 |
MSc |
Abstracts
|
Real Time Spike Train Decoding by Neural Networks |
30 |
|
Peleg Dori |
2008 |
PhD |
Abstracts
|
Effective Optimization Procedures for Machine Learning Based on Data-Dependent Error Bounds |
31 |
|
Di Castro Dotan |
2007 |
MSc |
Abstracts
|
Population Behavior of Neuronal Networks |
32 |
|
Aizenshtark Boaz |
2007 |
MSc |
Abstracts
|
On the Performance of Echo State Networks |
33 |
|
Baras Dorit |
2006 |
MSc |
Abstracts
|
Direct Policy Search in Reinforcement Learning and Synaptic Plasticity in Biological Neural Networks |
34 |
|
Zingman Igor |
2006 |
MSc |
Abstracts
|
Analysis and Classification of Tissue Section Images |
35 |
|
Desyatnikov Ilya |
2005 |
MSc |
Abstracts
|
Error Correcting Codes and Performance Bounds for Multi- Category Classification |
36 |
|
Lebanony Eyal |
2005 |
MSc |
Abstracts
|
Time Series Modeling using Bayesian Networks |
37 |
|
Benjo Shimon |
2004 |
MSc |
Abstracts
|
Performance Analysis for Mixture Classifiers using Local Methods |
38 |
|
Azran Arik |
2004 |
MSc |
Abstracts
|
Data Dependent Risk Bounds and Algorithms for Hierarchical Mixture of Experts Classifiers |
39 |
|
Leifman George |
2003 |
MSc |
Abstracts
|
Determining the Similarity of Three-Dimensional Objects using Relevance Feedback |
40 |
|
Rudyk Eduard |
2003 |
MSc |
Abstracts
|
On Role of Recurrent Inhibition in Low-Level Motor Control |
41 |
|
Sandhaus Haggit |
2003 |
MSc |
Abstracts
|
Locating Activity Regions in the Brain Using Methods of Source Separation |
42 |
|
Kisler Rachel |
2003 |
MSc |
Abstracts
|
Spatial-Spectral Sampling Technique for Color Images |
43 |
|
Weltsch-Cohen Yariv |
2002 |
MSc |
Abstracts
|
AGC Models for Signal Processing in the Primary Visual Cortex |
44 |
|
Guttman Omri |
2001 |
MSc |
|
Classification Using Projections onto a Single Dimension |
45 |
|
Karniel Amir |
2000 |
PhD |
|
Learning Motor Control of Redundant Systems |
46 |
|
Ben David Shay |
1999 |
MSc |
|
Time Series Modeling Using Mixtures of Experts |
47 |
|
Bar-Sella Ran |
1997 |
MSc |
|
Aspects of Finite Codebook Vector Quantizer Design Assessment |
48 |
|
Michlin Maria |
1996 |
MSc |
|
Recognition of Handwritten Digits Via Neural Networks |
49 |
|
Pisarevski Felix |
1996 |
MSc |
|
Comparative Study on Non Linear Time Series Prediction Methods |
50 |
|
Zeevi Assaf |
1996 |
MSc |
|
Mixture Based Functional Estimation |
51 |
|
Wirsansky Eyal |
1996 |
MSc |
|
Creating Modular Neural Networks Using Genetic Algorithms |