[4eyes] Practice Talk for Thesis Defense

[D H]

Hi,

Many thanks to those who came for my prolonged (and exhausting) practice
talk! Especially John and Adam - I really appreciate all your feedback.

If you couldn't make the practice talk, there will be the defense
presentation on Oct. 3rd at 12pm. I'll see you then.

Thanks again, and have a nice weekend.

Regards,
Dianna

On Fri, Sep 22, 2017 at 2:00 PM, John O'Donovan <jodmail at gmail.com> wrote:

> Hi All,
>  Reminder!  Dianna's talk is starting now in 2003 Elings.  We could do
> with some more people here!!
>
> Thanks!
> -John
>
> On 19 September 2017 at 10:29, Matthew Turk <mturk at ucsb.edu> wrote:
>
>> We will not have a lab meeting this week, so it would be nice if many of
>> you would give Dianna feedback on her practice talk during the regular lab
>> meeting time. You can also learn something about the use of fMRI, EEG, and
>> machine learning in neuroscience!
>>
>>
>>
>>                 Matthew
>>
>>
>>
>> *From:* Ilab-users [mailto:ilab-users-bounces at lists.cs.ucsb.edu] *On
>> Behalf Of *Dianna Han
>> *Sent:* Tuesday, September 19, 2017 10:18 AM
>> *To:* ilab-users at lists.cs.ucsb.edu
>> *Subject:* Re: [4eyes] Practice Talk for Thesis Defense
>>
>>
>>
>> Hi everyone,
>>
>>
>>
>> Thank you for replying to my previous emails despite the unfortunate
>> issue with my email account!
>>
>>
>>
>> We have reserved 2-3:30pm on Sep. 22nd (Friday) at 2003 Elings (the
>> regular lab meeting time & location). Everyone is welcome, and light
>> refreshments will be provided. I look forward to your feedback.
>>
>>
>>
>> Regards,
>>
>> Dianna
>>
>>
>>
>>
>>
>> On Fri, Sep 15, 2017 at 12:57 PM, Dianna Han <dianna.han at gmail.com>
>> wrote:
>>
>> Hi everyone,
>>
>>
>>
>> I'm so sorry for the inconvenience - something is wrong with my cs email
>> account.
>>
>>
>>
>> Please reply to my gmail account here if you are interested in my
>> practice talk. Thanks!
>>
>>
>>
>> Best,
>>
>> Dianna
>>
>>
>>
>> ---------- Forwarded message ---------
>> From: Dianna Han <dianna at cs.ucsb.edu>
>> Date: Fri, Sep 15, 2017 at 11:45 AM
>> Subject: Practice Talk for Thesis Defense
>> To: <ilab-users at lists.cs.ucsb.edu>
>>
>>
>>
>> Hi everyone,
>>
>>
>>
>> I have my defense scheduled on Tuesday, Oct. 3rd. I'm hoping to have a
>> practice talk for the lab members next week before the formal presentation.
>> I've attached the abstract of my thesis below; if you are interested,
>> please let me know what time you prefer - I'm thinking about 9/20
>> (Thursday) or 9/21 (Friday), most likely a time in the early afternoon. I
>> really appreciate your help and look forward to your feedback on the talk.
>>
>>
>>
>> Thank you!
>>
>>
>>
>> Regards,
>>
>> Dianna
>>
>>
>>
>> ------------
>>
>> Abstract:
>>
>>
>>
>> Recent technology has provided many tools and methods that allow
>> researchers to look further into the blackbox of human minds. These include
>> electroencephalogram (EEG), magnetoencephalography (MEG), positron emission
>> tomography (PET), and magnetic resonance imaging (MRI), among which EEG and
>> functional MRI (fMRI), two non-invasive techniques, dominate the field.
>> These two major instruments have enabled researchers to identify latent
>> neural processes and decode certain important cognitive states. Following
>> the recent advances in neuroimaging technology that enable the concurrent
>> recording of EEG and fMRI, much effort has been made to integrate these two
>> modalities in order to leverage their complementary powers, or identify and
>> characterize the underlying mechanism of neurovascular coupling. Numerous
>> controlled experiments have been carefully designed and carried out, and
>> large volumes of data have been recorded. Multiple statistical methods,
>> including machine learning, have been applied to interpret these data, or
>> to mine the corpus of information they create.
>>
>>
>>
>> In this dissertation, we continue in this line of study, and propose
>> methods built upon advanced statistical tools: HMM- and RNN-based methods
>> for modeling and classifying cognitive states, and a temporal extension of
>> canonical correlation analysis (CCA) for identifying temporal correlations
>> between different modalities. We chose to tackle the complicated problem of
>> decoding neural processes through two very different experimental data
>> sets. In one study, fMRI data were collected when subjects were exposed to
>> video/audio cues to induce craving of cigarettes; in the other study, both
>> EEG and fMRI data were collected simultaneously when subjects were
>> presented with visual stimuli in a spatial working memory task. Dynamic
>> models that capture the temporal patterns in the data and exploratory
>> methods that reveal the underlying relationship between modalities were
>> designed and tested over the data sets. The findings and reflections of
>> these studies are described here. Our work is one step closer to the goal
>> of unlocking the secrets of human minds.
>>
>>
>>
>>
>>
>>
>>
>> _______________________________________________
>> Ilab-users mailing list
>> Ilab-users at lists.cs.ucsb.edu
>> https://lists.cs.ucsb.edu/mailman/listinfo/ilab-users
>>
>
>
>
> --
> John O'Donovan
> Department of Computer Science
> University of California, Santa Barbara, CA 93106-5110
>
> email: jod at cs.ucsb.edu
> phone: (805)451-9342 <(805)%20451-9342>
> web: http://cs.ucsb.edu/~jod
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.cs.ucsb.edu/pipermail/ilab-users/attachments/20170922/3973449f/attachment-0001.html>