Daniel Toledano @toledanodaniel7.bsky.social

still bound to previous responses, suggesting they were encoded. Check it out: doi.org/10.1037/xhp000… @APA_Journals 2/2

🚨 🚨 🚨 Some irrelevant features of a previous target guide attention during search, but others don't. Are they not encoded, or do they not guide attention? In our new paper (with @NitzM98 & Dominique Lamy), we show that features that didn't guide attention, were... 1/2

Check out the paper here 👇 doi.org/10.1037/xlm000… #Visualsearch, #Attention, #Sequantialeffects, #Intertrialpriming @APA_Journals 8/

These results suggest that we need to modify the current view of the bias towards the previous target location. Crucially, it suggests that this bias isn't maladaptive in dynamic environments, as long as we know what we are about to do next. 7/

🚨Proud to share our new paper in JEP:LMC (w/ Dominique Lamy)🚨 Attention is strongly biased towards recently selected locations, but while current theories assume this bias is inflexible, we show that it is actually flexible, but proactive. A🧵: 1/

Check it out here: dx.doi.org/10.4324/978100… #attention #CognitiveScience #neuroscience 3/3

The key questions we address: 1) How are the different factors that influence priority maps organized? 2) How do priority maps evolve dynamically over time? 3) How does temporal attention integrate with spatial priority? We also review how this concept has emerged 2/3

🚨🚨 Very proud that our new chapter (w/ Aniruddha Ramgir & Dominique Lamy) on priority maps is out! Many view this concept as fundamental in explaining how we attend. However, we argue that several critical questions remain unanswered. 1/3

#ISCOP is always fun. Thanks to everyone who dropped by!

When science meets TikTok: ⁦@ItayYaron⁩ presents his cool work on the richness of perception at #ISCOP

Signing a PDF

1/🧠WHY do humans learn outcome-irrelevant information? Glad to share our NeurIPS behavioral ML workshop paper exploring the potential benefit of learning the value of outcome-irrelevant action features during decision-making, a behavior that surprisingly may aid in adapting to unexpected changes. Here’s what we found! 👇 @shaharnitzan

Here is a link to NotebookLM: notebooklm.google And the link to the paper: tandfonline.com/doi/full/10.10…

🤯 I just fed my recent paper to #NotebookLM and it auto-generated a 7-minute podcast about it! It's sometimes inaccurate, misses key points, and can get over-dramatic🤣 Still very impressive! Check out 2 minutes of the output:

Finally, I want to thank @ks_c and her colleagues for publishing this database, which enabled this publication. This is a great #OpenScience initiative, and I hope it inspires others to do the same. 6/6

📊And there are many more interesting findings in the paper - we also review and re-analyze the spatial profile of the previous target location, its response-based component, and the extent to which its influence is context-dependent. 5/6

🚨New paper 🚨 Why do we attend to previous target locations even when these cannot predict current target locations? We revisit this phenomenon by reviewing previous literature and re-analyzing a large-scale database, finding several novel insights: doi.org/10.1080/135062… 🧵