this is Mehrnaz, I am very excited about being a part of this great community, I am currently a medical student with enthusiasm about cognitive related topics especially working memory and decision making
I am curious about Obsessive-compulsive disorder and autism.
It’s quite an old dream of mine to work in computational neuroscience and I am very excited and eager to start the journey by the great NMA and the community.
Thank you all
My name is Fahimeh and I am phd student of cognitive neuroscience in university of Tabriz in Iran. My background was computer engineering and I worked on brain connectivity and now my thesis is related to time perception in clinical aspect in particular
I am Avani, I am an undergraduate researcher in Centre for Visual Information and Technology, IIIT Hyderabad. I am pursuing my Bachelors honours and Masters in Computer Science. My research interests span around Deep Reinforcement Learning and Computer Vision. I am excited to start off with this summer school. I have always been passionate about working in Neuroscience since it links closely to our understanding of human brain as well as contributes directly in RL. For information about my projects/current work please visit https://www.linkedin.com/in/avani17101-gupta/ https://github.com/avani17101
I am Priya. Currently, waiting for my PhD viva-voce to get scheduled and get done with it. I have a background in genetics and picked up Python and R programming to help myself with my PhD work. I am interested in understanding the concepts of computational modeling, flux-balance analysis and biophysical modeling. In my thesis, simulated and analyzed the effect of interactions between schizophrenia susceptibility genes on regulation of neurodevelopment. I am happy to share my knowledge as well look forward to learn from others.
I am Reem. I am new here, currently finished my first year in university (METU) psychology major program; aiming to specialize in neuro-psychology and neurosciences! Hope to meet many people of bright minds and share the knowledge together. <3
I am Vivian Atuadu. A PhD student from the University of Nigeria. My research area is on affective disorders. I an glad to be in your midst and I look forward to learning more abou computational neuroscience.
I am Mei Qiu. A Ph.D. student from the Purdue School of IUPUI. My research area is on computer vision, traffic flow estimation, and transfer learning. I obtained a master’s degree in Cognitive Neuroscience from the Key Laboratory of Cognitive Neuroscience and Learning at Beijing Normal University. I am glad to be in your midst and I look forward to learning more about computational neuroscience, finding some new ideas for my research, and to getting some cooperators for later research and work.
I’m Abdulsalam, a masters student at the University of ilorin, Nigeria. I am new here
I am interested in general neuroscience and also neuroinfomatics.
I hope to learn a lot from y’all, thanks.
I am a full-time associate professor in the area of Cognitive and Behavioral Sciences at the School of Psychology, UNAM, México, and an active member of the Cognitive Robotics Lab at the CInC-UAEM, México. My research focuses on perceptual optimization processes such as sensory attenuation and sensory enhancement, the computational modeling of perception, and cognition under the predictive processing framework, as well as the study of prediction error dynamics as a self-regulating mechanism.
Looking forward to learn from you all and have interesting discussions!
Do you know any good papers about visual recognition of faces among other objects? (esp w fmri data?)
Hi everyone, my name is Harkirat and I am a Ph.D. candidate at the University of Washington. I am interested in mathematical methods (including machine learning) that can point towards brain regional volume and thickness characteristics of specific subgroups in Alzheimer’s disease, using cross-sectional and longitudinal data.
I found out about Neuromatch Academy only a couple of days ago! I will be joining in as an observer. I am amazed to see this wonderful program bringing so many people together, making quality education in computational neuroscience available worldwide, free of cost. I can only imagine the amount of hard work that must have gone into bringing this program into existence. Thank you! And looking forward to learning.
Hii everyone, I am Mahima, I have completed my btech in Electrical and Electronics Engineering from NITK, India this year. It was pretty uncertain the way I had to bid goodbye to 4yrs journey, I am here to be part of the discussion, to know more about computational neuroscience and its input into psychology and cognitive NS, I have priorly worked on Alzheimer’s and Retinal Fundus Image data set in NINS Lab at National Brain Research Center, India.
I’m Marius and helped create the notebooks for W1D2. I only now signed up for neurostars…
I live in Toronto where I work on motor adaptation and on visual perception as research associate in two labs. Follow me on Twitter: @BMtHart, ask me anything here.
Have fun at NMA and all the best to all of you!
I am Aleksandra (she/her)– applied mathematician, work as Data Scientist. I finished Complex Systems Modelling M.Sc. at King’s College London. Two biggest research projects I had performed were about detection of abnormality in time series signal (EEG epileptiform modelling and telecommunication cloud metrix monitoring).
I am interested in reseach translation of brain activity to creating ML tools, therefore looking for PhD position in computational neuroscience.
I live in UK, from Uzbekistan. On my spare time I do photography, skiing and practice meditation.
My twitter @hainyx
I’m DongHyun Yoon, a senior undergrad student in KAIST, majoring Math and EE.
My major interest is causality - from the nature of causality itself to the fundamental principles/framework/algorithms to make inference.
But I have a vast range of interest in general - spanning from bayesian brain theory/predictive coding/active inference, embodied cognition, consciousness, emergence and acquisition of language, semantics, to inductive bias/regularization/oracle property in stat/ML, disentangled representation learning in DL, algorithmic information theory, information geometry, physics of information, dynamical systems theory, etc…
And I also love to talk about philosophy of science/mind/language!
I also have a work experience as a data scientist, machine learning engineer in a Finance AI startup.
Looking forward to meet you all and stimulate each other!
I am Fei-Yang Huang, a PhD student in University of Cambridge with Prof. Wolfram Schultz, working in primate neurophysiology. I am a medical doctor by training and was working in deep brain stimulation (DBS) in patients with Parkinson’s disease. Currently, I am investigating reward processing and neuronal mechanisms of decision making in primate brain. We combine single neuron recordings in monkeys to study the computational principles in the brain. Happy to join the big family and share ideas and discussions in neuroscience and beyond.
Feel free to contact:
Hello! My name is Erin, and I’m a senior at Hamilton College.
This past spring, I was studying abroad at Eberhard Karls University in Tuebingen, Germany, where I was planning on working in a lab studying the neurobiology of vocal communication in finches. I have also done past work with corvids, and I love working with animals. I’m super interested in cognition, communication, and olfactory cues.
Looking forward to connecting with you all!
Hello to all of you I am Danilo Tetesi student of Cognitive Neuroscience in La Sapienza (Rome).
Actually I am doing the Erasmus experience in the University of Tuebingen with courses of the Graduate Training School of Neuroscience. When I will come back in Rome I will start the Advanced School of Artificial Intelligence.
If you want to contact me this is my LinkedIn profile https://www.linkedin.com/in/danilo-tetesi
Hi everyone, I’m Juliana!
I’m a PhD candidate in Behavioral & Systems Neuroscience at University of California, Berkeley studying decision-making and choice behavior across development, specifically using genetic mouse models of autism spectrum disorder. I hope to deepen my understanding of statistical and computational methods (specifically bayesian perspectives on RL and DDMs) that I can use to model behavioral tasks and perform analyses on fiber photometry data. I’m pretty passionate about science policy and would love to link up with anyone who is already involved in policy or would like to know how!