Shteingart's AC Page

My name is Hanan Shteingart and I am currently working on my PhD in the interdisciplinary computational neuroscience center (ICNC) at the Hebrew university (HUJI). I am interested in too many things, but usually have no time to work on them (or any, if to be precise). This is my first academic site and I hope that it will encapsulate the different things I come across on the go…

My current supervisor is Dr. Loewenstein (I spelled it right!).

Currently my interests are:

• Reinforcement learning (RL) as decision making models in humans
• Time Perception (ADHD)
• Neural codes
• Signal processing and communication

You are welcome to contact me at: CHANANSH (at) GMAIL (dot) COM

Publications

• PONTINE NUCLEUS AUDIO STIMULI DETECTION & MODELING FOR BRAIN MACHINE INTERFACE REHABILITATION OF CONDITIONAL LEARNING / Hanan Shteingart, Aryeh Taub, Hagit Messer.
  Statistical Signal Processing, 2009. SSP ‘09. IEEE/SP 15th Workshop on (pdf).
• Statistical Properties of Synchonous Burst Event Sequence Analysis in Cultured Nerual Networks – Master Thesis, 2008.(pdf)
• Synchronous Burst Sequence Analysis in Quadruple Cultured Neuronal Network [In preparation]This paper question whether or not SBE sequence in coupled cultured neural network express time dependency (memory). Using the RSS method, we first show that the first-order statistics of the sequence shows bounded-power-law type behavior. Later, using Markov-chain order estimation techniques as well as chi-square tests we look at the higher dimensional statistics to learn about the time dependency of the SBE set occurrence.
• A Novel Technique for Coupled Network SBE Clustering and Analysis (RSS) – [In preparation]This paper will describe a new technique for the clustering and analysis of spontaneous burst event in cultured coupled network. Although these networks are recorded using dozens of electrodes, it is shown that vast reduction of data can be carried with minor effect on SBE clustering. This method therefore enables us clustering many more SBE sequence than before and therefore study the long term time series characteristics of the network.
• Evolvable Hardware:Genetic Search in a Physical Realm. Physica A 326 (2003) 265 – 285.  (pdf) I worked on this research with Nadav Raichman during my B.Sc. at Tel-Aviv Univeristy. Although I’m not mentioned as a co-writer, I was mentioned in the acknowledgement paragraph (served in the IDF at that time). I’ve worked for about a year on the research and development of the system’s analog hardware, the software driver to the FPGA, the visualization software (shown on the left) and on the genetic algorithm itself in C. Those enabled writing this paper.

Education

• For one year, I was working on a a PhD  under prof. Hagit Messer Yaron on the detection of in-vivo brain signal for the ReNaChip project. In this project I was supervising five E.E. B.Sc. students. The project’s aim is: “rehabilitation of a discrete motor learning function by a prosthetic chip“. I’ve written a paper on the subject:

• My M.Sc. (cum laude) was under the supervision on prof. Eshel Ben Jacob on “Synchronous Burst Sequence Analysis in Quadruple Cultured Neuronal Network” (Full Thesis). I’ve got grade of 99 on this work, and 94 average in my M.Sc. courses.

• I have finished my  undergraduate studies in physics (cum laude, 93) and E.E. (magna cum laude, 96) in TAU.

Army Service

After serving in the IDF army for six years (2001-2007) as a signal processing team leader, I am back in the academia.

* I don't write @ and "." to avoid spam...