The whole ERC team as well as our close collaborators from the CO3 research lab will present at the 27th annual meeting of the Association for the Science of Consciousness in Tokyo.
Don’t hesitate to stop by and say hi!
Wednesday (3.07.24)
10:00 – 11:00:
Poster Session 1 (Ito International Research Center)
- P-1-2 Krzysztof Dołęga — Cleaning up the Perceptual Spill: Phenomenal Overflow in Light of Predictive Coding Models of Cortical Function
- P-1-51 Ivan Ivanchei, Inès Mentec & Axel Cleeremans — Evaluation in early visual processing – evidence from deep neural networks
14:00 – 16:00:
Concurrent Session 1: Unconscious Processing (Gallery 1)
- Pietro Amerio & Axel Cleeremans — Using 2AFC tasks to measure awareness free of criterion bias
Concurrent Session 1: Time and Temporal Perception (Ito Hall)
- Francois R. Foerster & Axel Cleeremans — Temporal resolution of vision varies across the visual field
16:00 – 17:00:
Poster Session 2 (Ito International Research Center)
- P-2-25 Anastassia Loukianov, Laurène Vuillaume, Emilie Caspar & AxelCleeremans — Placebo-suggestion modulates conflict resolution but not visual perception of unambiguous stimuli
Thursday (4.07.24)
10:00 – 11:00:
Poster Session 3 (Ito International Research Center)
- P-3-16 Lena Lange, Eleni Panagoulas & Arno Villringer — Tactile detection and localisation in the greyzone of perception
11:00 – 13:00:
Unconscious Affect and Motivation Symposium (Ito Hall)
- Axel Cleeremans — Introductory Remarks
- Léa Moncoucy & Krzysztof Dołęga — What do we mean by unconscious affect?
- Piotr Winkielman — New insights into how affect can drive behavior, judgments, and physiology without being subjectively felt
- Lina Skora — Adaptively conscious: Learning and engaging motivated behaviour relies on conscious access
- Colin Klein & Andrew Barron — Homeostatic sensations and the Phenomenal Interface Theory
Friday (5.07.24)
14:00 – 16:00:
Concurrent Session 5: Emotion (Conference Room)
- Inès Mentec, Ivan Ivanchei & Axel Cleeremans — Exploring the Role of Valence in Conscious Perception: Insights from Similarity Judgments and Deep Learning Models