Associate Professor at Federal University of ABC (UFABC) - Brazil
Researcher at the Timing and Cognition Lab
http://neuro.ufabc.edu.br/timing
Interested in time, timing, and in pretty much every time-related thing
Andre Cravo
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We also found that people continuously update their internal reference, both trial by trial and block by block. These shifts are captured by an Internal Reference Model with dual learning rates, and they are directly reflected in the decoded neural signals. 6/8
On a side note, this study took a long time to come together. Between data collection and submission, there was a pandemic, families growing, authors changing jobs, and the painful loss of Mark Stokes, a collaborator in the early stages of this project. It is great to finally see it out. 8/8
Duration and decision are encoded along separable neural dimensions. Duration info peaks before the interval ends, and categorical decision signals dominate afterward. 5/8
These models make (somewhat) similar behavioral predictions but differ in what neural activity should look like across durations. Threshold models predict the same neural trajectory regardless of duration. Rate models predict that activity rescales in time 3/8
Do brains track time by accumulating at a fixed rate and comparing against a threshold (like Scalar Expectancy Theory), or by adjusting the rate of accumulation to match the expected duration (like TopDDM)? 2/8
Paper with @mateuspsi.bsky.social , Peter Claessens, and @nick-myers.bsky.social. This was also presented last year in @timingresforum.bsky.social 7/8
The problem is that nearly all EEG studies confound duration with the decision about duration, making it hard to tell which pattern you're actually seeing. Our orthogonal design lets us tease these apart. 4/8
