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METHOD:PUBLISH
X-ORIGINAL-URL:https://trendscenter.org
X-WR-CALDESC:Events for TReNDS
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20180101T000000
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END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20200422
DTEND;VALUE=DATE:20200630
DTSTAMP:20200423T014418Z
CREATED:20200422T012502Z
LAST-MODIFIED:20200423T014418Z
UID:4291-1587513600-1593475199@trendscenter.org
SUMMARY:TReNDS Neuroimaging Competition
DESCRIPTION:In this competition\, you will predict multiple assessments plus age from multimodal brain MRI features. You will be working from existing results from other data scientists\, doing the important work of validating the utility of multimodal features in a normative population of unaffected subjects. Due to the complexity of the brain and differences between scanners\, generalized approaches will be essential to effectively propel multimodal neuroimaging research forward.\nThe dataset consists of unbiased multimodal neuroimaging features from nearly 12K unaffected subjects and their associated age and assessment values (using 50/50 train/test split to minimize the test set prediction error). The competition will be hosted with Kaggle in a joint collaborative effort by OHBM\, the IEEE SPS Data Science Initiative\, and the IEEE Challenges and Data Collections Program.\nInterested teams and participants will be considered for presenting/publishing their methods in a peer reviewed venue at the discretion of the competition evaluation committee. Special attention will be given to submissions achieving good prediction on the data subset coming from a second scanner\, with the goal of encouraging methods unbiased by site/scanner effects.\nWe hope to stir interest and bring together non-imagers and imagers alike towards this common goal\, pushing the envelope to assess the limits of current predictive technologies and gauge the clinical usefulness of neuroimaging features for personalized treatment.\nJoin the Competition: https://www.kaggle.com/c/trends-assessment-prediction/\nUse our hashtag to post your updates on social media: #TReNDSComp2020\n\n\nStart Date: April 22nd\, 2020\n\nStart date: April 21st\, 2020\n\nEnd date (preliminary private leaderboard revealed): June 29th\, 2020\n\nCode and leaderboard result verification (winners announced): July 26th\, 2020\n\nPrizes\n\n1st Place – $12\,000\n\n2nd Place – $8\,000\n\n3rd Place – $5\,000\nSponsored by \n         \n\n\n \n\n\n\n\n 
URL:https://trendscenter.org/event/trends-neuroimaging-competition/
CATEGORIES:Networking & Outreach,Scientific Meetings and Lectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200313T140000
DTEND;TZID=UTC:20200313T150000
DTSTAMP:20200304T182734Z
CREATED:20200304T182734Z
LAST-MODIFIED:20200304T182734Z
UID:4162-1584108000-1584111600@trendscenter.org
SUMMARY:Neuroimaging Series: Eva Dyer
DESCRIPTION:“Comparing high-dimensional neural recordings across time\, space\, and behavior”\n\nWith advances in experimental methods in neuroscience\, datasets are becoming increasingly high dimensional\, both with measurements from larger brain volumes and over longer periods. However\, with more data\, more neurons\, and more points in time\, come more problems. In this talk\, I will highlight several strategies for distilling complex and high-dimensional neural datasets into more interpretable and simplified low-dimensional formats. Once data are embedded in a low-dimensional space\, I will show how their shape and geometry can then be leveraged to align the low-dimensional structures present\, even across different datasets that may live in different domains (e.g.\, neural activity and movement). Alignment thus provides a way to bring many neural datasets together to both understand common computational primitives across brains and learn signatures of disease.\n\nEva Dyer is an Assistant Professor in the Coulter Department of Biomedical Engineering at the Georgia Institute of Technology and Emory University. Dr. Dyer works at the intersection of neuroscience and machine learning\, developing computational approaches to interpret complex neuroscience datasets\, and designing new machine intelligence architectures inspired by the organization of biological brains. Dr. Dyer completed all of her degrees in Electrical & Computer Engineering\, obtaining a Ph.D. and M.S. from Rice University\, and a B.S. from the University of Miami. She is the recipient of an NSF CISE Research Initiation Initiative Award\, a Sloan Fellowship in Neuroscience\, and is a current Allen Institute for Brain Science Next Generation Leader.
URL:https://trendscenter.org/event/neuroimaging-series-eva-dyer/
LOCATION:TReNDS Center\, 55 Park Place\, Atlanta\, GA\, 30303\, United States
CATEGORIES:Scientific Meetings and Lectures
ATTACH;FMTTYPE=image/jpeg:https://trendscenter.org/wp-content/uploads/2019/10/neuroimaging_series.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200228T150000
DTEND;TZID=UTC:20200228T160000
DTSTAMP:20200217T173321Z
CREATED:20200210T172109Z
LAST-MODIFIED:20200217T173321Z
UID:4154-1582902000-1582905600@trendscenter.org
SUMMARY:Neuroimaging Series: Mukesh Dhamala
DESCRIPTION:TReNDS Center Neuroimaging Series\n\nBrain network activity function and dysfunction\n\nMukesh Dhamala\, PhD | Associate Professor of Physics & Astronomy at Georgia State University\n\nUnderstanding neurocognitive computations both during brain function and dysfunction requires not just identifying the brain regions involved but also determining how brain activity flows among them. In this lecture\, I will discuss Granger causality methods for resolving network activity flow and describe our findings of network activity in perceptual decision-making processes and epileptic seizures.\n\nWebex information:\n\nFriday\, Feb 28\, 2020 3:00 pm | 1 hour | (UTC-05:00) Eastern Time (US & Canada)\n\nMeeting number: 739 244 827\n\nPassword: nKRMRySZ754\n\nhttps://gsumeetings.webex.com/gsumeetings/j.php?MTID=mb52a9a7a14b884d3c9d9666585188d3f\n\nJoin by video system\n\nDial 739244827@gsumeetings.webex.com\n\nYou can also dial 173.243.2.68 and enter your meeting number.\n\nJoin by phone\n\n+1-415-655-0002 US Toll\n\n+1-415-655-0002 US Toll\n\nAccess code: 739 244 827\n\nView event flyer
URL:https://trendscenter.org/event/neuroimaging-series-mukesh-dhamala/
CATEGORIES:Scientific Meetings and Lectures
ATTACH;FMTTYPE=image/jpeg:https://trendscenter.org/wp-content/uploads/2019/10/neuroimaging_series.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191213T140000
DTEND;TZID=UTC:20191213T150000
DTSTAMP:20191209T193054Z
CREATED:20191008T150924Z
LAST-MODIFIED:20191209T193054Z
UID:4043-1576245600-1576249200@trendscenter.org
SUMMARY:Neuroimaging Series: Jeff Malins
DESCRIPTION:Jeff Malins\, Assistant Professor\, Psychology\, GSU\n\nNeural activation variability as an index of plasticity and learning\n\nAn emerging field of cognitive neuroscience contends that quantifying intra-individual variation in brain activity across trials can give important insights into brain dynamics. In this talk\, I will present several studies employing task-fMRI to evaluate the relationship between trial-by-trial neural activation variability and reading development in children. After discussing some recent results\, I will focus on methodological considerations and future directions for this line of work.\n\nMeeting Information\n\nFriday\, Dec 13\, 2019 2:00 pm | 1 hour | (UTC-05:00) Eastern Time (US & Canada)\n\nMeeting number: 733 556 061\n\nPassword: AsdBBTk2\n\nMeeting link: https://gsumeetings.webex.com/gsumeetings/j.php?MTID=m1edd81f96bff236f81b7cd2506087d12\n\n \n\nMore ways to join\n\nJoin by video system\n\nDial 733556061@gsumeetings.webex.com\n\nYou can also dial 173.243.2.68 and enter your meeting number.\n\n \n\nJoin by phone\n\n+1-415-655-0002 US Toll\n\n+1-415-655-0002 US Toll\n\nAccess code: 733 556 061
URL:https://trendscenter.org/event/neuroimaging-series-jeff-malins/
LOCATION:TReNDS Center\, 55 Park Place\, Atlanta\, GA\, 30303\, United States
CATEGORIES:Scientific Meetings and Lectures
ATTACH;FMTTYPE=image/jpeg:https://trendscenter.org/wp-content/uploads/2019/10/neuroimaging_series.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191206T120000
DTEND;TZID=UTC:20191206T130000
DTSTAMP:20191024T024808Z
CREATED:20191024T024757Z
LAST-MODIFIED:20191024T024808Z
UID:4081-1575633600-1575637200@trendscenter.org
SUMMARY:Tammie Bezinger: Brains & Behavior distinguished lecture series
DESCRIPTION:As part of the B&B distinguished lecture series\, Tammie Bezinger\, PhD will give a talk entitled “Integrating structural and molecular imaging in dementia imaging”.
URL:https://trendscenter.org/event/tammie-bezinger-brains-behavior-distinguished-lecture-series/
LOCATION:Petit Science Center\, 145 Piedmont Ave SE\, Atlanta\, GA\, 30303\, United States
CATEGORIES:Scientific Meetings and Lectures
ATTACH;FMTTYPE=image/jpeg:https://trendscenter.org/wp-content/uploads/2019/10/BBlogo.jpg
ORGANIZER;CN="Brains & Behavior":MAILTO:eweaver1@gsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191122T140000
DTEND;TZID=UTC:20191122T150000
DTSTAMP:20191121T155335Z
CREATED:20191008T150755Z
LAST-MODIFIED:20191121T155335Z
UID:4041-1574431200-1574434800@trendscenter.org
SUMMARY:Neuroimaging Series: Ying Guo
DESCRIPTION:Ying Guo\, Director\, Emory Center for Biomedical Imaging Statistics (CBIS)\, Emory\n\nStatistical methods for helping improve reliability of brain network analysis\n\nNetwork-oriented analyses have become increasingly important in neuroimaging studies to advance understanding of neural circuitry among healthy brains and also to investigate disease-related network differences. These analyses often encounter challenges including low signal-to-noise ratio in neuroimaging data\, high between-subject heterogeneity in brain networks and network variations across conditions. In this talk\, we present new statistical methods to help improve the reliability in brain network analysis. The proposed methods tackle the aforementioned challenges by joint network learning using brain images obtained on the same subjects under different conditions\, by multimodality integrative network modeling that incorporates anatomical structure in constructing brain functional networks\, and by developing novel statistical tests to more accurately detect network differences between subpopulations.\n\nWebex information: https://gsumeetings.webex.com/gsumeetings/j.php?MTID=m85f5f0d535c2d0e514253f3aa4ec626b\n\nMeeting code: 739 520 259
URL:https://trendscenter.org/event/neuroimaging-series-ying-guo/
LOCATION:TReNDS Center\, 55 Park Place\, Atlanta\, GA\, 30303\, United States
CATEGORIES:Scientific Meetings and Lectures
ATTACH;FMTTYPE=image/jpeg:https://trendscenter.org/wp-content/uploads/2019/10/neuroimaging_series.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20191113
DTEND;VALUE=DATE:20191116
DTSTAMP:20191008T144916Z
CREATED:20191008T144846Z
LAST-MODIFIED:20191008T144916Z
UID:4030-1573603200-1573862399@trendscenter.org
SUMMARY:BrainHack ATL
DESCRIPTION:Brainhack ATL is a neuroscience hackathon focused on bringing together students\, researchers\, non-academic industry professionals\, and neuroscientists from a variety of fields and expertise to explore the multiple applications of neuroimaging tools from a cross-disciplinary perspective. BrainHack ATL is part of a larger initiative with this same goal that holds simultaneous events all over the world (Brainhack Global 2019). 
URL:https://trendscenter.org/event/brainhack-atl/
LOCATION:TReNDS Center\, 55 Park Place\, Atlanta\, GA\, 30303\, United States
CATEGORIES:Educational Courses,Scientific Meetings and Lectures
ATTACH;FMTTYPE=image/jpeg:https://trendscenter.org/wp-content/uploads/2019/10/brainhack.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191108T140000
DTEND;TZID=UTC:20191108T150000
DTSTAMP:20191101T210435Z
CREATED:20191008T150624Z
LAST-MODIFIED:20191101T210435Z
UID:4038-1573221600-1573225200@trendscenter.org
SUMMARY:Neuroimaging Series: Chethan Pandarinath
DESCRIPTION:Chethan Pandarinath\, Assistant Professor\, Biomedical Engineering\, Georgia Institute of Technology\n\nTitle:\nUncovering single-trial neural population dynamics with deep learning\n\nAbstract:\nNeuroscience is experiencing a revolution in which simultaneous recording of thousands of neurons is revealing population dynamics that are not apparent from single-neuron responses. This structure is typically extracted from data averaged across many trials\, but deeper understanding requires studying phenomena detected in single trials\, which is challenging due to incomplete sampling of the neural population\, trial-to-trial variability\, and fluctuations in action potential timing. We introduce latent factor analysis via dynamical systems (LFADS)\, a deep learning method to infer latent dynamics from single-trial neural spiking data. When applied to a variety of macaque and human motor cortical datasets\, LFADS accurately predicts observed behavioral variables\, extracts precise firing rate estimates of neural dynamics on single trials\, infers perturbations to those dynamics that correlate with behavioral choices\, and combines data from non-overlapping record- ing sessions spanning months to improve inference of underlying dynamics.\n\nPaper:\nInferring single-trial neural population dynamics using sequential auto-encoders. Nature Methods\, 2018.\ndoi: http://doi.org/10.1038/s41592-018-0109-9\nfree access: https://rdcu.be/6Wji \n\n\nWebex information:\nhttps://gsumeetings.webex.com/gsumeetings/j.php?MTID=m35821f4ba101205ba886945814d45cde\n\n 
URL:https://trendscenter.org/event/chethan-pandarinath/
LOCATION:TReNDS Center\, 55 Park Place\, Atlanta\, GA\, 30303\, United States
CATEGORIES:Scientific Meetings and Lectures
ATTACH;FMTTYPE=image/jpeg:https://trendscenter.org/wp-content/uploads/2019/10/neuroimaging_series.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191108T120000
DTEND;TZID=UTC:20191108T130000
DTSTAMP:20191024T022132Z
CREATED:20191024T022011Z
LAST-MODIFIED:20191024T022132Z
UID:4075-1573214400-1573218000@trendscenter.org
SUMMARY:Leah Krubitzer: B&B distinguished lecture series
DESCRIPTION:As part of the brains and behavior distinguished lecture series\, Leah Krubitzer\, PhD\, joins us from UC Davis to give a talk entitled “Combinatorial Creatures:  Cortical plasticity within and across lifetimes”.
URL:https://trendscenter.org/event/bb-distinguished-lecture-series/
LOCATION:Petit Science Center\, 145 Piedmont Ave SE\, Atlanta\, GA\, 30303\, United States
CATEGORIES:Scientific Meetings and Lectures
ATTACH;FMTTYPE=image/jpeg:https://trendscenter.org/wp-content/uploads/2019/10/BBlogo.jpg
ORGANIZER;CN="Brains & Behavior":MAILTO:eweaver1@gsu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191018T140000
DTEND;TZID=UTC:20191018T150000
DTSTAMP:20191014T145442Z
CREATED:20191008T150344Z
LAST-MODIFIED:20191014T145442Z
UID:4035-1571407200-1571410800@trendscenter.org
SUMMARY:Sergey Plis: AI and the brain
DESCRIPTION:TReNDS Neuroimaging Series\nOur very own Sergey Plis will be speaking about AI and the brain.\n\nInformation-rich multimodal and multisubject brain imaging datasets facilitate understanding brain function and dysfunction but they are extremely complex. Automatic knowledge discovery from these data could distill their complexity to self-evident information. This talk covers our use and development of deep learning for this task: knowledge discovery in neuroimaging. I will explain why deeper models work better on our data\, show how we can use them to discover information about populations of subjects\, demonstrate how these models pay attention to structure and function\, what they learn about brain dynamics\, how they can beat state of the art neuroimaging tools at their game and more.
URL:https://trendscenter.org/event/sergey-plis-ai-and-the-brain/
LOCATION:TReNDS Center\, 55 Park Place\, Atlanta\, GA\, 30303\, United States
CATEGORIES:Scientific Meetings and Lectures
ATTACH;FMTTYPE=image/jpeg:https://trendscenter.org/wp-content/uploads/2019/10/neuroimaging_series.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191004T083000
DTEND;TZID=UTC:20191004T120000
DTSTAMP:20190924T135730Z
CREATED:20190704T041910Z
LAST-MODIFIED:20190924T135730Z
UID:3432-1570177800-1570190400@trendscenter.org
SUMMARY:TReNDS Grand Opening
DESCRIPTION:Join us for the a “predictive neuroscience” themed Grand Opening as we celebrate the newly founded TReNDS center and the opportunities it will bring the neuroimaging and scientific community-at-large. There will be mingling\, an address by our visionary director and founder\, Vince Calhoun\, and data-blitz talks.\n\nView event flyer\n\n 
URL:https://trendscenter.org/event/trends-grand-opening/
LOCATION:TReNDS Center\, 55 Park Place\, Atlanta\, GA\, 30303\, United States
CATEGORIES:Grand Opening,Networking & Outreach,Scientific Meetings and Lectures
ATTACH;FMTTYPE=image/jpeg:https://trendscenter.org/wp-content/uploads/2019/07/openhouse-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190913T140000
DTEND;TZID=UTC:20190913T150000
DTSTAMP:20190822T143208Z
CREATED:20190704T040614Z
LAST-MODIFIED:20190822T143208Z
UID:3426-1568383200-1568386800@trendscenter.org
SUMMARY:Neuroimaging group orientation
DESCRIPTION:Join us for a quick intro to TReNDS and the neuroimaging research community in Atlanta.
URL:https://trendscenter.org/event/neuroimaging-group-orientation/
LOCATION:TReNDS Center\, 55 Park Place\, Atlanta\, GA\, 30303\, United States
CATEGORIES:Networking & Outreach,Scientific Meetings and Lectures
ATTACH;FMTTYPE=image/jpeg:https://trendscenter.org/wp-content/uploads/2019/07/network_pic.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190830T140000
DTEND;TZID=UTC:20190830T150000
DTSTAMP:20190830T135435Z
CREATED:20190830T135435Z
LAST-MODIFIED:20190830T135435Z
UID:3863-1567173600-1567177200@trendscenter.org
SUMMARY:TReNDy Talks: Sergey Plis
DESCRIPTION:Join us for a talk given by our very own Sergey Plis.
URL:https://trendscenter.org/event/trendy-talks-sergey-plis/
LOCATION:TReNDS Center\, 55 Park Place\, Atlanta\, GA\, 30303\, United States
CATEGORIES:Scientific Meetings and Lectures
ATTACH;FMTTYPE=image/jpeg:https://trendscenter.org/wp-content/uploads/2019/08/Sergey_Plis-e1591500342651.jpg
END:VEVENT
END:VCALENDAR