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#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)http://bit.ly/2vL0ovXPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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)Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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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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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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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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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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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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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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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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 proslijedio/la je Tweet
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 (https://www.biorxiv.org/content/10.1101/2020.01.29.924795v1 …)! Led by@neuromurphy, summary below. (1/11)Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Rudy van den Brink proslijedio/la je Tweet
This looks pretty interesting Neurons in Visual Cortex are Driven by Feedback Projections when their Feedforward Sensory Input is Missing https://www.biorxiv.org/content/10.1101/2020.01.24.919142v1 …pic.twitter.com/8p59hN9h8O
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Rudy van den Brink proslijedio/la je Tweet
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.https://www.jneurosci.org/content/40/4/720 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Rudy van den Brink proslijedio/la je Tweet
I'm very proud and excited to present to you: a team science approach to reproducibly studying decision-making! https://doi.org/10.1101/2020.01.17.909838 … Want to know what it's been like to work on this? Behind-the-scenes

1/manyhttps://twitter.com/IntlBrainLab/status/1218585772812570624 …
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Rudy van den Brink proslijedio/la je Tweet
#Psilocybin induces time-dependent changes in#brain connectivity: Our new paper is online! With@AnticevicLab@johndmurrayhttps://www.biologicalpsychiatryjournal.com/article/S0006-3223(20)30005-6/fulltext …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Rudy van den Brink proslijedio/la je Tweet
Our paper “Dissociated neuronal phase- and amplitude-coupling patterns in the human brain” finally accepted in
@NeuroImage_EiC ... we compare amplitude and phase-coupling patterns and establish dissociations between both couplings modes@siegullhttps://www.sciencedirect.com/science/article/pii/S1053811920300252 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Rudy van den Brink proslijedio/la je Tweet
What are the mechanisms that modulate gain in the
#cortex? Check out this latest Review by@kt_ferguson and@jess_cardin https://go.nature.com/36BoZ3V pic.twitter.com/SJwjK7BJxQ
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Rudy van den Brink proslijedio/la je Tweet
Mechanisms underlying gain modulation in the cortex https://www.nature.com/articles/s41583-019-0253-y …pic.twitter.com/OMB3RNwCVh
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"A standardized and reproducible method to measure decision-making in mice"