Hi,
I’m Stacy, (currently a PhD Candidate) conducting Neuroimaging research in a joint project between the Thomas Jefferson Comprehensive Epilepsy Center and Drexel University School of Biomedical Engineering and Sciences. My work is focused on using resting state fMRI imagery in refractory patients. I am biologist/anatomist by training, been in industry for >20 years and have decided to go back and get a PhD conducting research of my own choosing. My only regret is that I wished I had access to these tools and techniques earlier in my career. This stuff is soooo cool!
Look forward to connecting with you on this new journey.
I’m an Undergraduate pursuing CSE(Hons) at Lovely Professional University. I’m a machine learning student and also fond of learning new and amazing things about the brain and its functionalities.
I’m interested in asking questions and guidance to follow up my interest in neuroscience as a beginner in this field.
I am happy to connect with people.
I’m studying a part-time PhD at Goldsmiths College, University of London, researching prediction of dementia using Machine Learning, including Deep Learning. My background is working as a Data Scientist and software developer, including Python. I’m quite new to the area of neuroscience but am already fascinated!
Hi everyone, I am Lukman Ismail
I am a PhD student at University of Angers, France. I am interested in ML application in fmri image processing. I use Python, Matlab and any other Language (if my work demands it). I am new here and I wish to learn something from everyone in Functional brain network image processing and other important ML techniques.
I am happy to share, collaborate and learn with people who linke to invent and solve problems.
I am Owen Morgan, a PhD student at Cornell University. My interests include methods for studying conscious perception, and how the motor system contributes to cognition and motivation. I was first trained on matlab, but am learning to use fmriprep for upcoming projects. I am excited to join this community, and to continue learning best practices for open and reproducible neuroimaging!
Hello Everyone, I’m Jason Schneiderman PhD I’m the new Scientific Operations Director for the CMU-Pitt Brain Imaging Data Generation & Education (BRIDGE) Center https://www.bridge-center.org/ and a member of the teaching faculty in the Carnegie Mellon Neuroscience Institute https://www.cmu.edu/ni/
My career as a neuroscientist and behavioral scientist has taken my research everywhere from a hospital at the height of the COVID Pandemic to the International Space Station and the South Pole. I’m excited to join this diverse and active group of researchers.
Jason Schneiderman, PhD (he/him)
Scientific Operations Director
CMU-Pitt BRIDGE Center
150B Mellon Institute
Carnegie Mellon University
Pittsburgh, PA 15213
My name is Jeff Roszell and I am an Undergraduate Software / Biomedical Engineering student at University of Calgary who has been involved in multiple machine learning projects. I am currently studying data generalizability in multi-center data for my undergraduate research thesis and plan on furthering my research in a similar area next year when I move into my MSc in Biomedical Engineering. I am still new to some of the imaging standards, preprocessing pipelines, and learning models used in imaging, so I joined this arena as another means to valuable information and guidance.
Hi everyone,
I’m Carina, a cognitive science student from Vienna and I am currently writing my master thesis. I am trying to research the resting state connectivity patterns of different subnuclei in the amygdala. I started to work into nilearn and nypipe for my analysis.
I expect that this forum is great source of information for me. Looking forward to connecting with you and learning from you people!
Hi everyone!
I am Ophélie Martinie. I am currently doing my PhD in Canada at Laval University (Québec). I am working on neuroimaging in children with cerebral palsy. I am particularly interesting in diffusion neuroimaging on corticocerebellar circuits. I learned FSL by myself but I recently had to use Tractoflow for my analysis.
I am here to have any useful advice which could help me to acquire knowledge in neuroimaging and to process my data.
Hi Everyone
I am Pouya Rabiei, PhD student at university of toronto and interested in (chronic) pain and brain.
I am working with conn toolbox for analysing some functional connectivity.
I have done preprocessing with fmriprep and exported my data to the conn.
I have some missing data and need to allow missing data, but I cannot find the option. would you let me know the direction of the option (allow missing data) if you know that?
I am Ioannis Valasakis and I am current PhD student in King’s College London in the Institute of Psychiatry, Psychology and Neuroscience as well as the Biomedical Engineering and Imaging (that was long, phew)
I am doing research in Code Neuro Lab with Dr Dafnis Batella and Dr Maria Deprez, looking into neonatal brains and how (and if) one can predict autism spectrum disorder (ASD) phenotypes using functional MRI
I am new in the field although I do have experience in software and hardware engineer as I worked professionally in the industry for quite some years! I am big for open source (and free software, GPL-wise) and I hope that I can share my experience and learn from everybody here.
My current issue is that even though the ABIDE I dataset pretends it’s BIDS-compatible, it really isn’t. So, I am looking into finding ways to process it using fmriprep If anyone has some experience or an insight feel free to show where my mistake is
Hi everyone!
I am Katrien, a recent experimental psychology graduate student of the University of Ghent (Belgium) and currently performing a research internship at the Neuroscience Research Institue in Lyon (France). I will be applying for a PhD doing research about potential neural markers for learning disorders (dyslexia/dyscalculia)! I love coding, statistics, and would live to re-think our educational system to be more ‘brain-friendly’
Hi everyone, I am Rucha Kasture, a 2nd year student pursuing B.Tech. in Information Technology. I am a front end developer and my tech stack includes HTML, CSS, JavaScript, React.js, Bootstrap, and Git. I am aiming for GSoC 2022 and want to contribute to INCF. It would be great if someone could guide me for the same. Hoping to learn a lot.
Hi Rucha,
I am happy to hear you are interested in GSoC!
We will apply to be a mentoring organization again in 2022, the application opens in February and we will know sometime in March if we are approved. We aim to have our 2022 Project Ideas List up in late January; I do not yet know which projects and mentors will join us next year. I would advise you to keep an eye on our GSoC page (or our Twitter account) for an announcement when the list goes live. When the list is final, we will also post all project idea descriptions here on Neurostars, under the GSoC category.
If you want to get an idea of previous projects, please go to the GSOC 2021 archive page here: https://summerofcode.withgoogle.com/archive/2021/organizations/6330511550578688 where you can view both our 2021 project ideas list and the resulting projects. Each project idea will have a few skill tags, so you can search for projects that fit your profile and see if you find anything particularly interesting.
Hi everyone! My name is Hweeling Lee, and I’m a cognitive neuroscientist. I’m currently learning how to use the decoding toolbox (TDT), which is the main reason why I came across this mailing list. At present, I’m searching through the QnAs for TDT and possibly will have some questions of my own at the later stage! Wishing everyone here a Merry Christmas and happy new year.
@Rucha_Kasture given your skill set, have you may want to contribute to NiiVue. Given your experience with React, it might be great to develop a React UI for the component. The home page provides a minimal React wrapper. A great contribution would be a React UI that exposed the functionality of the main project, similar to the VueJS UI demo.
NiiVue is the future of the FSL user interface, and the BrainLife, AFNI and OpenNeuro teams have already contributed. Our hope would be to provide users with a familiar domain-specific interface regardless of the tools they use. Feel free to message me if you have any questions (or contact us on Github).
