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isiklab.org
We are looking for a passionate and dedicated postdoctoral researcher to work on individual differences in plasticity in blindness. The SAMP lab explores brain organization and experience-dependent plasticity by studying people born blind, deaf, or without hands, using behavioral and fMRI
We are seeking out ideas for future Generative Adversarial Collaborations at CCN!
Which challenges and controversies would you like to see discussed, and who should be involved? Let us know your ideas, even if you are not planning to submit a GAC.
https://app.fillout.com/t/eAAUdbJ3S7us
Of course, if you *would* like to submit a GAC, you can find more info here:
https://2023.ccneuro.org/gac.php
We are excited to announce that submissions for Cognitive Computational Neuroscience (CCN) 2023 are now open! The submission deadline for Abstracts, Generative Adversarial Collaborations (GACs), and Keynote&Tutorials will be **31 March 2023** (earlier than previous years!).
Abstract submission will be in the form of 2-page papers. More information can be found in our Author Kit https://2023.ccneuro.org/papers/author_kit.php. To submit a paper, visit https://2023.ccneuro.org/papers.php.
Generative Adversarial Collaborations (GACs) provide an extended workshop format to discuss the latest challenges and controversies in Cognitive Computational Neuroscience. For further details of the format, and to submit your GAC, visit https://2023.ccneuro.org/gac.php.
Keynotes with Tutorials (K+Ts) give a unique opportunity to deliver a keynote on your lab’s work, backed up by an extended tutorial (typically led by your labs postdocs/graduate students) to give a chance to work with the code, data and models behind your talk. To submit your K+T proposal, visit https://2023.ccneuro.org/keynotes_tutorials.php.
Registration for CCN 2023 is now open and can be completed here:
https://www.oxforduniversitystores.co.uk/conferences-and-events/experimental-psychology/events/computational-cognitive-neuroscience-society-meeting-2023
For the most up-to-date information including reminders about deadlines join our mailing list (https://mail.securecms.com/mailman/listinfo/ccneuro-announce) and also follow us here on Mastodon or Twitter.
Are you also excited and/or want to learn more about the new opportunities #ANNs provide to ask #why questions of #minds and #brains?
Check out our new #review #paper with the amazing Meenakshi Khosla and @NancyKanwisher in @TrendsNeuro
https://www.cell.com/trends/neurosciences/fulltext/S0166-2236(22)00262-4
#neuralnetworks #optimization #organization #auditory #visual #system
We are excited to announce that Cognitive Computational Neuroscience (CCN) 2023 will take place this year in Oxford from August 24 - 27, 2023. The conference will take place at the Examination Schools – more information can be found here:
www.venues.ox.ac.uk/our-venues/examination-schools/.
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Confirmed speakers for this year's CCN include Stan Dehaene, Helen Barron, Cate Hartley, Jay McClelland and Tim Kietzmann [email protected]
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We also want to note that the paper submission period will be earlier this year than in previous years: abstract submissions will open end of January, and will close March 31.
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For the most up-to-date information about CCN 2023, including reminders about deadlines, join our mailing list (https://mail.securecms.com/mailman/listinfo/ccneuro-announce) and also follow us here on Twitter (https://twitter.com/CogCompNeuro) or Mastodon (https://mastodon.social/@CogCompNeuro@qoto.org)
Please boost!!
After sufficient lurking, here is my #introduction
I’m a #computational #cognitive #neuroscientist and asst. prof. at JHU Cog Sci studying social vision. Our lab uses a combination of human behavior, neuroimaging and computational modeling to understanding how humans can so effortlessly extract rich social information from the visual world around them.
Our recent work relies heavily on naturalistic neuroimaging and state of the art modeling (such as graph neural networks and disentangled representation learning). You can learn more/find papers on our website: isiklab.org