Introduction
This document is a brief introduction to the Master’s Thesis for Engineering students at Temple. Disclaimer: This document is incomplete! You are ultimately responsible for making sure you meet all the thesis criteria. If something important has been missed, please feel free to edit this document yourself, or to email Dr. Obeid (iobeid@temple.edu) with the [...]
Articles by Category
Master’s Thesis Information
Neural Simulator Resources
The Society for Neuroscience (SfN) Neuroscience Database Gateway (NDG) provides extensive access to experimental data databases, knowledge bases, software tools for neuroscience, bioinformatics resources, providers of research materials, and
all neuroscience databases.1
Databases
SenseLab
The SenseLab Project (hosted by Yale University) is a long term effort to build integrated, multidisciplinary models of neurons and neural systems, using the olfactory [...]
NEURON Simulator Programming Guide
This programming guide is intended to be a primer for novices attempting to run the NEURON simulator. Complete programming references, tutorials, and other documentation may be found on the author’s site.
Getting Started
NEURON may be downloaded from http://www.neuron.yale.edu/neuron/install/install.html for Linux, MSWin (95 and up), and Mac OS X 10.4. NIL is running NEURON within the [...]
Scholarship & Grant Opportunities
Scholarships & Fellowships:
DoD SMART – App was due 12/17/07
NDSEG – App due 1/7/08
Graduate Assistance in Areas of National Need (GAANN) – Not accepting apps for fiscal 2008
National Research Service Awards for Individual Predoctoral Fellows
Grants
NIH R21 for Exploratory Innovations in Biomedical Computational Science and Technology
NIH R21 for Neurotechnology Research, Development, and Enhancement
NIH [...]
Sharif Abed
Education
MetEast High School- 12th Grade Student.
Research Interests
Computer Programming
Artificial Intelligence
Computer Simulations of Real-World Mechanics
Nanofiber Electrode
Fiber based electrode for intercortical recordings
Background
Neurons form the fundamental information processing units of human brain. They communicate amongst themselves through an action potential resulting from electro-chemical activities. Essentially, axons of transmitting neurons move closer to the dendrites of receiving neurons for a shot of ion release. This action creates an electric potential of around +40mV [...]
Karthikeyan’s Profile
Karthikeyan Balasubramanian,
Doctoral Student,
Neural Instrumentation Lab,
Temple University.
==========================================================================
Academic Profile
M.Tech, Indian Institute of Technology – Delhi, 2004
B.Tech, Bharathidasan University – Trichy, 2002
Diploma, Institute of Textile Technology – Chennai, 1999
Current Research
Fiber based electrodes for intercortical recordings
One of the key components of BMIs (Brain Machine Interfaces) are a suitable electrode. The present research is to develop a [...]
John Mountney
Education
MS Electrical Engineering – Temple University 2007
BS Computer Engineering – Temple University 2004
Research Interests
Adaptive signal processing
Parallel signal processing algorithm developement
Signal processing architectures utilizing Progammable Gate Arrays
Societies
Eta Kappa Nu
Multiply Tuned Neurons
Introduction
The goal of this project is to determine what tuning curves look like for neurons that are simultaneously tuned to multiple stimuli. We are using pre-existing data in which monkeys had to focus on two different visual cues at the same time. The neurons recorded in this study are in the pre-frontal cortex and were [...]
Spike Detection
Background
A Brain Machine Interface is a connection between a brain and a device which enables neural signals (spikes) to direct an external activity. Its purpose is to restore movement and control for people with damaged sensory and motor functions. In order to arrive at a practical implementation of a BMI, the way the brain encodes [...]
Sitemap
Pages: 1 2 PagesContact UsHelpHomeLab PersonnelMiscellaneousProjects
PostsCategory: Bioengineering Reading GroupAmazing Brain Related VideosBlogs Worth ReadingBMI Breakthrough (1)Brain Controlled ToysBrain DamageDeep Brain Stimulation (9)Emotiv – Brain Controlled Video GamesFunctional Electrical Stimulation Society 2007High Tech TeachingKuiken ArmMatlab Coding TipsNY Times Article – Prosthetic Arms that Listen to the BrainPain MedicationsRadiosurgery & Gamma Knife (2)Senior Design Team 2008Spinal Cord [...]
VanGo Installation
Preparing to install
The following steps were only tested on Ubuntu 6.06 Desktop edition. I highly recommend you Ubuntu 6.06 Desktop edition for trouble free installation.
Create a directory
$HOME
mkdir cvs
cd cvs
mkdir downloads
Download Tinyos and EmStar
EmStar
cvs -d :pserver:anoncvs@cvs.cens.ucla.edu:/home/cvs/cvsroot login
password: anoncvs
cvs -z9 -d :pserver:anoncvs@cvs.cens.ucla.edu:/home/cvs/cvsroot co emstar
TinyOS
cvs -d:pserver:anonymous@tinyos.cvs.sourceforge.net:/cvsroot/tinyos login
cvs -z3 -d:pserver:anonymous@tinyos.cvs.sourceforge.net:/cvsroot/tinyos co tinyos-1.x
Java
cd download
sudo apt-get install elinks [...]
VanGo
Software
Small-form-factor, low-power wireless sensors – motes – are convenient to deploy, but lack the bandwidth to capture and transmit raw high-frequency data, such as human voices or neural signals, in real time. Local filtering can help, but the right filter settings depend on changing ambient conditions and network effects such as congestion, which makes them [...]
Nilantha Aluthgedara
Education
B.S., Electrical & Computer Engineering, Temple University, 2005-Present
Research Experience
June 2007 – Present, Temple Neural Instrumentation Lab
Societies
IEEE
NSBE
ACM
Projects
VanGo : Capturing High-Frequency Phenomena Using a Bandwidth-Limited Sensor Network
Learn Like A Human: Hierarchical Temporal Memory
Research
VanGo Documents
About Nadia…
NADIA BARAKAT
Research Assistant
Email: naaadia@temple.edu
Research Interests
Neural spike detection methods and systems
Analog and mixed-signal integrated circuit design
Low-power integrated electronics for prosthetic devices
Education
M.S. (Master of Science in BioEngineering), Temple Univ. Graduation date: May 2008
B.S. (Bachelor of Science in Electrical Engineering), Temple Univ.: 2002-2006
Work Experience
Research Assistant, Temple Univ. Philadelphia, PA 2007 – present
Internship 2, Siemens Medical Solutions USA, Inc. [...]
Dr. Iyad Obeid
Iyad Obeid, PhD
Assistant Professor
Department of Electrical and Computer Engineering
Office: Room 703
Phone: 215-204-9033
Email: iobeid@temple.edu
Research Interests
Brain Machine Interfaces (BMIs) are an emerging technology whose purpose is to allow volitional neural control of prosthetic devices. Advances in this area, although impressive, are limited by the general requirement that subjects be tethered to bulky recording hardware that severely [...]
Literature Search Tools
Note that for most journals, you can sign up for the Table of Contents to be emailed to you for free when a new issue comes out.
Web of Science : Must be on a campus network to use this link.
Pubmed : The standard for searching medical research
IEEE Transactions in Biomedical Engineering
IEEE Neural Systems and Rehabilitation [...]
Closed-Loop BMI Model
Background
Brain Machine Interfaces (BMIs) are an emerging technology whose purpose is to allow amputees and spinal cord injury patients to control a prosthetic limb using signals from the brain. One particular area of BMI research uses signals from ensembles of individual neurons that are recorded using densely packed arrays of cortical electrodes. Because [...]
| S | M | T | W | T | F | S |
|---|---|---|---|---|---|---|
| « Feb | ||||||
| 1 | 2 | 3 | ||||
| 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| 11 | 12 | 13 | 14 | 15 | 16 | 17 |
| 18 | 19 | 20 | 21 | 22 | 23 | 24 |
| 25 | 26 | 27 | 28 | 29 | 30 | 31 |
Categories
Recent Entries
- NY Times Article – Prosthetic Arms that Listen to the Brain
- Emotiv – Brain Controlled Video Games
- High Tech Teaching
- Brain Controlled Toys
- Matlab Coding Tips
- Spinal Cord Stimulation
- Brain Damage
- BMI Breakthrough
- Sitemap
