I am primarily interested in a brain machine interface that helps translate intentions into motor behaviours, especially in situations where motivation is an issue (like Parkinson’s disease, major depression). This will possibly provide an edge over traditional deep brain stimulation approaches. This endeavour also means that I am on the quest to elucidate brain circuitry responsible for the cost-benefit decision making and the planning of motor sequences. I have started this process in rats.
To quantify cost-benefit calculations and find biomarkers for stimulation, I have turned to modelling and am here to learn about different approaches I could take as well meet people who face similar modelling challenges.
Hi all,
I am Megha Maria Jacob, an undergraduate student at Indian institute of Science Education and Research (IISER) ,Tirupati majoring in biology.
My areas of interest are axonal growth, neural network formation , epileptogenesis etc.
I am new to this field of computational neuroscience so I am really excited to explore this field more!!!
I am a Ph.D. student at the Indian Institute of Technology, BHU, Varanasi, and investigating in the field of Computational Neuroscience and Neuro-imaging. I am trying to find the anatomical and functional basis of the various perceptual experiences in the human brain using neuroimaging and different computational approaches. Before joining doctoral research, I taught electronics and image processing at engineering colleges.
My name is Ziling Wang, is a graduate from Harbin Engineering University. I am going to Shanghai Jiao Tong University for postgraduate study. I worked on the statistical inferences about the causality of neuronal signals. I am looking forward to communicating with you and learning from you all.
Thank you!
I’m Arthur! I finished my MSc in Neuroscience last year at NTNU in Trondheim, Norway, where my focus was on rodent neuroanatomy, the development of atlas resources, and quantification of interneurons. I am currently applying for PhDs and research assistantships, and fascinated by the potential of electrophysiological tools to unravel mechanisms the brain uses to understand its surroundings. My main motivation to enter the course is to improve my computational side to further develop as a scientist, and to share my existing Neuroscience knowledge. I look forward to to get to know you and learn a ton with you all.
Hi everyone, I’m Jiushu Xie, a faculty member at the School of Psychology, Nanjing Normal University, Nanjing, China.
I’m interested in social neuroscience, such as theory of mind, autism, perspective taking, egocentrism, social interaction, and social perception. I use behavioral experiments, EEG/ERP, and fMRI to test these areas.
I’m very glad to join this community and work with you together.
Hello everyone! I’m Aneesh Chawla.
I am an electronics undergrad from India. I’m new to neuroscience,while at the same time I find it really interesting especially computational part of neuroscience and hope to have a great time learning for the next two weeks. Hope the same for you all too!
I’ve experience in Deep Learning and hope to find a bridge between the two topics.
Cheers!
Hello everyone,
Here Glasgow/Helsinki Electrophysiology represent. I’m Marco Fuscà, postdoc, lurking mostly as an observer. This’ll be the same post in /introduce-yourself/ and /who-is-here-introduce-yourself/ (but not /new-students-introduce-yourselves/, that’s for interactive podded people I think).
Mostly I’m writing to thank the organizers for this opportunity. Looking forward to this too.
I’m looking for a post doc position (preferably in the UK! :)) [after this Covid-19 mess is over…] so if you hear about an interesting opportunity, or know a wonderful mentor in the field, please do contact me!
i’m excited to be a part of this community, looking forward to learn with and from you!
Hi, I’m Monika from Cambridge, UK. I just started my second year as a postdoc in the control group of the Engineering Department. Our group studies the brain from a control perspective. My main focus is on memory consolidation mechanisms. It’s great to be here and I am looking forward to starting tomorrow!
Hi there, I’m Alma.
I’m on the observer track, doing a Master’s degree in clinical linguistics and looking forward to learning a lot about programming and modelling in neuroscience.
Hi, I’m Junyan Sun, a medical student from China, it’s really nice to get to know you all. I’m doing MRI imaging research of Parkinson’s disease, aiming to find the objective and accurate biomarkers to diagnose Parkinson’s disease and the prodromal of neurodegenerative disorders. So I want to learn the processing of functional and structural images through this forum, including some processing commands. Thanks
Hi everyone!
I’m Haoyu Hu, a sophomore majoring in Psychology from China. I am still learning psychology-related expertise and I have a great interest in cognitive neuroscience. I hope I can learn more through this valuable opportunity!
Thank you!
Hi All !
Avinash here…currently pursuing my PhD from Indian Institute of Technology Hyderabad ,India. I’m interested in understanding human control and coordination from computational neuroscience perspective. Very happy to join this beautiful community…would be very happy to interact with you all and learn from you all!
Hello everyone , I’m Kristina and I will soon start my PhD in the area of Parkinson’s and MSA research. For this purpose I want to learn more about computational neuroscience. I’m looking forward to learn a lot here and to get to know you guys
Hey all! I’m Alessandro, research fellow from the MRC-CBU, Cambridge, UK. I’m interested in combining neuroimaging (MEG/MRI), computational approaches and psychophysics to further understand changes in action-decision making emerging at the inception of Parkinson’s disease.
Hey everyone!
I’m Shrivas Chaterji, and I’m doing a Master’s in Biological Sciences at BITS, Pilani, India.
I’ve always been curious about why we behave the way we do in varied contexts, and neuroscience, especially through research in decision-making, learning, and memory has the potential to provide fundamental answers to a multitude of behavioural sciences questions across academia, making it the perfect avenue for future research.
With so much in this field dependent on data acquisition and processing, I think a rigorous background in statistics and computational neuroscience is essential for any domain in neuroscience, and I look forward to learning these tools with, and from, all of you!