Tim Gastrell @tgastrell.bsky.social · 17/04/20265/n Inverted encoding models showed strong effects of motion coherence on representational fidelity during stimulus observation which carried over into the response period (top). Priors also enhanced stimulus representation (bottom), but only in the response period once the stimulus was gone! 🤯 100
Tim Gastrell @tgastrell.bsky.social · 17/04/20263/n Estimation behaviour followed the textbook Bayesian pattern: Responses were biased towards expected motion directions and the magnitude of bias scaled with the relative precision of the stimulus and the prior. (panel C) Weak stimulus + strong informative prior = biggest bias. 110
Tim Gastrell @tgastrell.bsky.social · 17/04/20262/n Participants made continuous decisions about the direction of a dot-motion stimulus with varying levels of coherence. We manipulated prior expectation by sampling the target directions from von Mises distributions whose location and concentration parameters varied each block. 110
Tim Gastrell @tgastrell.bsky.social · 20/06/2025Excited to be presenting behavioral and modeling work looking at perceptual decision making under uncertainty with recently learned priors at the EPC/APCV joint meeting today at UNSW, Sydney! Catch me at 2:45pm in Gallery 1! @expsyanz.bsky.social #epc2025 061
Tim Gastrell @tgastrell.bsky.social · 04/06/2025New paper @ JOV! With Matt Oxner, Frank Schumann and David Carmel. 🧠 Perception of ambiguous motion is shaped by recent visual experience - but does this differ across the visual field? Yes! Full open access paper here (Gastrell et al., 2025, Journal of Vision): 🔗 doi.org/10.1167/jov.... 🧵 122
Tim Gastrell @tgastrell.bsky.social · 30/11/2024An absolute pleasure to present some new data at ACNS 2024 in (mostly) sunny Newcastle. Here we showed that human observers judgements of simple motion stimuli broadly follow precision-weighted inference principles. @acnsau.bsky.social 090