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Rudy van den Brink
@
rudyvdbrink
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Postdoc at UKE hamburg in the @donner_lab
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Tweetovi
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Pratim
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Osobe koje vas prate
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| Rudy van den Brink proslijedio/la je tweet | ||
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Niklas Wilming
@NWilming
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18 h |
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New preprint about choice predictive feedforward/back signals in V1 (biorxiv.org/content/10.110…). Joint work with an amazing group of people: @neuromurphy, Florent Meyniel and Tobias Donner. And of course @donner_lab!
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Rudy van den Brink
@rudyvdbrink
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4. velj |
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Thanks a lot!
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KDesender
@KobeDesender
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4. velj |
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Hurray! The Confidence Database is officially out now! Great initiative by @DobyRahnev. Curious to see what this will bring :) twitter.com/DobyRahnev/sta…
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bioRxiv Neuroscience
@biorxiv_neursci
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1. velj |
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Temporal expectation hastens sensory encoding but does not affect evidence quality biorxiv.org/cgi/content/sh… #biorxiv_neursci
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Rudy van den Brink
@rudyvdbrink
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3. velj |
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Our findings thus highlight how temporal predictions optimize our interaction with unfolding sensory events: by reducing sensory encoding time. Thanks to @k_tsetsos for helpful comments, and @AvHStiftung and @ERC_Research for funding! (10/10)
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Rudy van den Brink
@rudyvdbrink
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3. velj |
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Where might fluctuations in sensory encoding originate? Anticipatory alpha power was modulated by expectations, and tracked both response-time and CPP onset. This may reflect fluctuations in top-down signaling in accordance with expectations about target onset (9/10) pic.twitter.com/fo5VHWxhiO
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Rudy van den Brink
@rudyvdbrink
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3. velj |
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These results strongly support an account in which temporal expectation enhances task performance specifically by shortening the time needed for sensory encoding, and not by affecting the decision process (besides its onset) (8/10)
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Rudy van den Brink
@rudyvdbrink
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3. velj |
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Again supporting account 1, at the single-trial level, temporal expectation reduced onset, but did not affect slope. Difficulty did affect slope, as expected (so results are not just due to a difference in sensitivity between slope/onset). (7/10) pic.twitter.com/KQ5axzx4Ne
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Rudy van den Brink
@rudyvdbrink
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3. velj |
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We then looked at an EEG marker of evidence accumulation during decision making tasks: the CPP. Its onset and slope showed expected scaling with RT (faster onset and steeper slope for fast responses). We could then examine the effect of expectation on CPP onset and slope (6/10) pic.twitter.com/XtKdh3d7xC
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Rudy van den Brink
@rudyvdbrink
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3. velj |
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When we applied the drift diffusion model to the behavioral data, we found evidence for account 1: non-decision time (Ter) was reduced when people expected a target. Drift rate (v) was affected by task difficulty (as predicted), but not by expectation. (5/10) pic.twitter.com/YoGndSW4ZB
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Rudy van den Brink
@rudyvdbrink
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3. velj |
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We manipulated expectation about the onset of a dim visual target using the temporal cueing paradigm: when an auditory cue validly signaled target onset after a short delay, people responded faster compared to when the cue invalidly signaled a long delay (4/10) pic.twitter.com/6YCBjdS3rM
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Rudy van den Brink
@rudyvdbrink
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3. velj |
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Previous work has arrived at different conclusions about account 1 versus 2, potentially due to systematic discrepancies between conclusions based on sequential-sampling models and neural signatures of decision formation. Here, we thus used both approaches. (3/10)
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Rudy van den Brink
@rudyvdbrink
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3. velj |
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Temporal expectation could enhance perception though (1) expedited sensory evidence encoding, or (2) an increase in the quality of sensory evidence (the latter is equivalent to the mean accumulation rate under most computational frameworks for decision-making). (2/10)
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Rudy van den Brink
@rudyvdbrink
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3. velj |
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New #preprint out on @biorxiv! \w @neuromurphy, @kobedesender, Nicole de Ru & Sander Nieuwenhuis, we show that temporal expectation enhances perception by speeding up the the decision process onset without affecting its evolution! #tweeprint below (1/10) bit.ly/2vL0ovX
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Donner Lab
@donner_lab
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31. sij |
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Interested in decision-making, evidence accumulation, normative or circuit models, oscillations, cortical hierarchy, feedback, or brainstem arousal systems? Check out our new paper on @biorxivpreprint (biorxiv.org/content/10.110…)! Led by @neuromurphy, summary below. (1/11)
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Rudy van den Brink
@rudyvdbrink
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31. sij |
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Excellent work by @neuromurphy! twitter.com/neuromurphy/st…
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Rudy van den Brink
@rudyvdbrink
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31. sij |
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Highly recommended! twitter.com/ZSjoerds/statu…
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Alex Naka
@gottapatchemall
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26. sij |
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This looks pretty interesting
Neurons in Visual Cortex are Driven by Feedback Projections when their Feedforward Sensory Input is Missing
biorxiv.org/content/10.110… pic.twitter.com/8p59hN9h8O
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Jess Cardin
@jess_cardin
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22. sij |
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Nice review by @mjhigley and Anita Disney (not on Twitter?) this week in @JNeurosci on the diversity of scales of cortical cholinergic signaling! We're thinking a lot about this topic lately in the lab.
jneurosci.org/content/40/4/7…
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Anne Urai
@AnneEUrai
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20. sij |
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I'm very proud and excited to present to you: a team science approach to reproducibly studying decision-making!
doi.org/10.1101/2020.0…
Want to know what it's been like to work on this?
Behind-the-scenes 🧵👇
1/many twitter.com/IntlBrainLab/s…
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