cvnlab
@cvnlabComputational visual neuroscience lab (PI: Kendrick Kay). At the intersection of cognitive neuroscience, fMRI methods, and computational neuroscience.
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🚨 We need your help! 🚨 Tell us your experience with the Natural Scenes Dataset (NSD) and other current large-scale datasets, and what you'd like to see in future datasets! You can voice your (honest) opinions in our online anonymous survey: umn.qualtrics.com/jfe/form/SV_6f…
Pumped to share this work from my PhD, “A single computational objective drives specialization of streams in visual cortex”, just in time for the holidays! With the all star team @eshedmargalit , @cvnlab , @dyamins & @kalatwt 🔗:biorxiv.org/content/10.110… 🧵: 1/n…
1/ Excited to share a new NeuroAI preprint: “What can 1.8 billion regressions tell us about the pressures shaping high-level visual representation in brains and machines?” Led by Colin Conwell, with @_jacobprince_, @cvnlab, and @grez72 biorxiv.org/content/10.110…
@cvnlab is looking to hire postdoc(s) in cognitive/visual/computational/systems neuroscience. More info at cvnlab.net/jobad.html
There is much discussion about capabilities of GPT models. But how accurate are such models as models of language processing in the 🧠? Here, we demonstrate that GPT is accurate enough to noninvasively drive and suppress 🧠activity in the language network of new individuals. 1/
Latest lab work in @NeuroCellPress We review tasks, how tasks affect activity in the visual system, and call for incorporation of tasks into stimulus-computable models. w/ @rndenison @DLBarack @MichaelJArcaro @katebonnen doi.org/10.1016/j.neur…
You can now watch videos of all main stage sessions from #ccneuro22 at 2022.ccneuro.org/program.php! Hope that you enjoy reliving this year's conference - and stay tuned for announcements about next year's conference soon. #ccneuro23 is coming...
Latest lab work in @NeuroImage_EiC by @ofgulban We release high-quality mesoscopic (0.35-mm) anatomical measurements in the living human brain. Clear laminar and vascular features. May help us better understand the nature of fMRI signals. doi.org/10.1016/j.neur…
Latest lab work in @NatureComms We leverage the large-scale Natural Scenes Dataset and encoding models to obtain unbiased estimates of voxel-level orientation tuning. Results demonstrate coarse-scale orientation preferences in V1. w/ @zviroth @elimerriam nature.com/articles/s4146…
We've posted this working draft on OSF arguing for the need of further validation of layer-specific fMRI as an accurate and robust marker of neural activity, but we are still refining the text. We welcome comments from the community.
New layer-fMRI preprint by @elimerriam and @cvnlab It is an opinion piece criticizing the current practices, assumptions, and scientific stance of layer-fMRI as a research field. doi.org/10.31219/osf.i…
I’m pleased to share a pre-print about activity in the visual word form area! @jdyeatman, @cvnlab and I found that words evoke larger responses when task-relevant than when ignored, but the opposite happens for non-letter shapes. biorxiv.org/content/10.110… (1/2)
Preprint! How does the brain make sense of the world? Using a variety of converging analyses and recurrent DNN modeling of large-scale 7T data, we propose that the visual system computes rich semantic scene descriptions, rather than category labels only.🧵 arxiv.org/abs/2209.11737
Latest lab work in #JNeurosci. A detailed look at variation of BOLD fMRI signal strength within individual brains, and whether this is a good proxy for local neural activity. w/ @JanKurzawski Jon Winawer @ofgulban jneurosci.org/content/42/38/…
Excited to share our new preprint! "Re-expression of CA1 and entorhinal activity patterns preserves temporal context memory at long timescales" w/ the amazing @sarahdubrow @hulacon @KuhlLab and many others from the NSD crew @cvnlab biorxiv.org/cgi/content/sh…
Latest lab work in @PLOSONE Denoising methods come with risks. A reminder of the classic bias-variance tradeoff, and to acknowledge, study, and consider bias. journals.plos.org/plosone/articl…
You can now read our latest work on bioRxiv: Color-biased regions in the ventral visual pathway are food-selective @sussexvisionlab @ColourSussex @cvnlab biorxiv.org/content/10.110…
Get higher SNR in single-trial fMRI. We show substantial impact on downstream analyses. Pre-print: biorxiv.org/content/10.110…. Toolbox (Matlab and Python): glmsingle.org. Led by @_jacobprince_ and w/ @IanCharest @JanKurzawski @JohnAPyles @TarrLab
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