From dongxu@sciences.sdsu.edu  Wed Nov  1 23:57:17 2006
From: dongxu@sciences.sdsu.edu (Dong Xu)
Date: Wed, 1 Nov 2006 15:57:17 -0800
Subject: [compsci] Reminder: CSRC Colloquium - WHICH MODEL TO USE FOR CORTICAL SPIKING NEURONS?
Message-ID: <14da35910611011557j2950ed3fkb5d97c124d14a68a@mail.gmail.com>

Title:   WHICH MODEL TO USE FOR CORTICAL SPIKING NEURONS?

Date:           November 3, 2006
Time:           3:00 PM
Location:      GMCS 214

Speaker:

Eugene Izhikevich
The Neurosciences Institute
San Diego, CA

Abstract:

We discuss the biological plausibility and computational
efficiency of some of the most useful models of spiking and bursting
neurons. We compare their applicability to large-scale simulations of
cortical neural networks.

Eugene Izhikevich is a Senior Fellow in Theoretical Neurobiology at The
Neurosciences Institute in San Diego, CA. He has published 2 books and tens
of papers on neuronal dynamics. Eugene is an editor-in-chief of
Encyclopedia of Computational Neuroscience hosted by
http://www.scholarpedia.org - the free peer-reviewed encyclopedia.

Host: Diana Verzi

For future events, please visit our web site at:
 http://www.csrc.sdsu.edu/csrc/events/colloquium/

 *******************************************
Dong Xu
PhD Student
Computational Science Program
San Diego State University
Phone: 619-594-2710
Email: dongxu@sciences.sdsu.edu

From dongxu@sciences.sdsu.edu  Mon Nov  6 23:52:04 2006
From: dongxu@sciences.sdsu.edu (Dong Xu)
Date: Mon, 6 Nov 2006 15:52:04 -0800
Subject: [compsci] Colloquium Cancelled on Friday, November 10
Message-ID: <14da35910611061552n8203de5ufef757e6f8046f0b@mail.gmail.com>

Dear Compsci folks,

There will be no colloquium this Friday because of the "Veteran's
Day". The scheduled talk will be moved to a later date.

Regards,

Dong Xu

From dongxu@sciences.sdsu.edu  Sat Nov 11 20:57:50 2006
From: dongxu@sciences.sdsu.edu (Dong Xu)
Date: Sat, 11 Nov 2006 12:57:50 -0800
Subject: [compsci] CSRC Colloquium - THE OTHER "PHASE" OF MRI
Message-ID: <14da35910611111257r7b0f48acqdaad79d00dbe74d0@mail.gmail.com>

Title:   THE OTHER "PHASE" OF MRI

Date:           November 17, 2006
Time:           3:00 PM
Location:      GMCS 214

Speaker:

Shantanu Sinha
Department of Radiological Science
University of California, San Diego

Abstract:

MR imaging has become one of the most powerful diagnostic tools
available to modern medicine, using only the conventional contrast
mechanisms of T1, T2 and Proton-Density weightings. With the recent
amazing advances in both hardware and software of MR imaging, we have
now routine access to several other contrast mechanisms that were till
now the subject of only esoteric research. We will talk about several
applications of such mechanisms, most of them based on "Phase" images,
the other orthogonal component of the signal that is typically ignored
in preference to the "Magnitude" component. Applications will include
Temperature-Sensitive Imaging in Interventional MRI, Flow
Visualization in brain aneurysms, kinematics of atrophic muscles,
diffusion imaging in the breast, prostate and diffusion tractography
of leg muscles.

Host: Faramarz Valafar

For future events, please visit our web site at:
 http://www.csrc.sdsu.edu/csrc/events/colloquium/

 *******************************************
Dong Xu
PhD Student
Computational Science Program
San Diego State University
Phone: 619-594-2710
Email: dongxu@sciences.sdsu.edu

From dongxu@sciences.sdsu.edu  Wed Nov 15 19:05:32 2006
From: dongxu@sciences.sdsu.edu (Dong Xu)
Date: Wed, 15 Nov 2006 11:05:32 -0800
Subject: [compsci] Reminder: CSRC Colloquium on Friday -- THE OTHER "PHASE" OF MRI
Message-ID: <14da35910611151105o54b10976o1ea593fcbd17fd13@mail.gmail.com>

Title:   THE OTHER "PHASE" OF MRI

Date:           November 17, 2006
Time:           3:00 PM
Location:      GMCS 214

Speaker:

Shantanu Sinha
Department of Radiological Science
University of California, San Diego

Abstract:

MR imaging has become one of the most powerful diagnostic tools
available to modern medicine, using only the conventional contrast
mechanisms of T1, T2 and Proton-Density weightings. With the recent
amazing advances in both hardware and software of MR imaging, we have
now routine access to several other contrast mechanisms that were till
now the subject of only esoteric research. We will talk about several
applications of such mechanisms, most of them based on "Phase" images,
the other orthogonal component of the signal that is typically ignored
in preference to the "Magnitude" component. Applications will include
Temperature-Sensitive Imaging in Interventional MRI, Flow
Visualization in brain aneurysms, kinematics of atrophic muscles,
diffusion imaging in the breast, prostate and diffusion tractography
of leg muscles.

Host: Faramarz Valafar

For future events, please visit our web site at:
 http://www.csrc.sdsu.edu/csrc/events/colloquium/

 *******************************************
Dong Xu
PhD Student
Computational Science Program
San Diego State University
Phone: 619-594-2710
Email: dongxu@sciences.sdsu.edu

From dongxu@sciences.sdsu.edu  Thu Nov 16 17:50:52 2006
From: dongxu@sciences.sdsu.edu (Dong Xu)
Date: Thu, 16 Nov 2006 09:50:52 -0800
Subject: [compsci] MS Thesis Defense on Tuesday, November 21 -- False Alarm Suppression Using Probability Hypothesis Density Filtering for a Collision Detection System
Message-ID: <14da35910611160950t60819772na18b2b85bf71547a@mail.gmail.com>

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Title: False Alarm Suppression Using Probability Hypothesis Density
Filtering for a Collision Detection System

Shawn J. Strange
Computational Science Research Center
San Diego State University

Tuesday, November 21, 2006
10:00 am
Life Sciences Building
LS 244

Abstract:

This thesis defense presents a Sequential Monte Carlo (SMC)
Probability Hypothesis Density (PHD) algorithm for tracking a time
varying number objects in the presence of false alarms. The SMC
implements the PHD filtering recursions by propagating a weighted
cloud of one million hypotheses, or particles, to provide an efficient
approximation to the posterior of the PHD distribution. Each
hypothesis is a Monte Carlo sample that consists of state information
about a potential object. In this thesis, a pertinent application of
the SMC PHD filter is demonstrated to track a variable number of
objects in an automotive collision detection system, estimating both
the number and locations of objects in the field of view, in the
presence of high levels of false alarms. The automotive collision
detection system consists of a set of radars, distributed along the
front bumper of the vehicle, with pairs of the sensors measuring
bistatic range and range rate. The angular resolution of the
surveillance region can be extremely large for this type of system
creating extreme challenges for standard tracking algorithms.
Simulated tracking results are obtained for an extremely large number
of false alarms, with an average of 1 false track reported from every
1000 false alarms input per scan. Object locations were accurately
estimated, with approximately less than 0.6~m error in for all cases,
and less than 2~m/s speed error. The speed of execution of the current
implementation enables a thorough quantitative analysis via averaged
results over hundreds of Monte Carlo iterations. Although not
real-time for this particular application, all the most
computationally intensive steps in the processing are embarrassingly
parallelizable, enabling the use of the algorithm for general
tracking.

Chair: Robert Mellors

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