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Online Now: Rhythmic sampling of decision alternatives through attention
1mo
Recent work by Siems et al. shows that the brain rhythmically samples competing alternatives through covert spatial attention. This challenges continuous models of decision-making and suggests that evaluation is temporally structured by oscillatory dynamics, with attention determining when alternatives are accessed rather than reflecting changes in their representations.
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Rhythmic sampling of decision alternatives through attention
Trends in Cognitive Sciences
Rare and excellent PhD opportunity!!!
15d
Konstantinos Tsetsos
Can you predict the winners of the world cup and beat AI and the experts? Play against friends & colleagues and win the leaderboard! This fun research project is run by Trinity College Dublin & University College London (UCL) Learn more: forecast2026.com @ktsetsos.bsky.social @uclpals.bsky.social
11h
TCD School of Psychology
The actual screen of death
After each match, your forecasts are scored and you can see where you stand on the live leaderboard relative to AI, the crowd and football experts. You can also create your own leaderboard to compare yourself with friends or colleagues. Usernames are anonymous, so feel free to be bold.
For each match, you split 100 points across: 🏠 Home win
🤝 Draw
✈️ Away win So it is not just about picking the winner. It’s about expressing how likely you think each outcome is.
Forecast2026 leaderboards and stats are looking slick! The experts take the opening round: Mexico 2–0 South Africa. I didn’t give Mexico enough credit. I’ll be back. 🫡 #Forecast2026 #WorldCup2026
Dip in and out across the tournament as there is no obligation to forecast every match. Help us test whether human judgement can outperform AI, and uncover more about the strengths and blind spots behind both human and machine predictions. Join Forecast 2026: forecast2026.com
1mo
⚽ Can humans beat AI at forecasting the World Cup? @rezlescu.bsky.social and I are launching Forecast 2026, a live research study comparing real-life, real-time human predictions about World Cup matches with those of AI models. Join our study at: forecast2026.com