Anne Zonneveld
@annewzonneveld.bsky.social
PhD student video-AI and human cognition, HAVA lab @UvA_Amsterdam | MSc Brain and Cognitive Sciences @UvA_Amsterdam
Interests: cognitive computational neuroscience, neuroAI, visual perception
Interests: cognitive computational neuroscience, neuroAI, visual perception
4/ Additionally, we find state space models show superior alignment to intermediate posterior activity through mid-level action features, in which self-supervised pretraining is also beneficial.
October 31, 2025 at 1:03 PM
4/ Additionally, we find state space models show superior alignment to intermediate posterior activity through mid-level action features, in which self-supervised pretraining is also beneficial.
2/ We find responses in posterior electrodes, after initial alignment to hierarchical static object processing, best align to mid-level temporally-integrative representations of actions and closely match the unfolding video content. 🎥
October 31, 2025 at 1:03 PM
2/ We find responses in posterior electrodes, after initial alignment to hierarchical static object processing, best align to mid-level temporally-integrative representations of actions and closely match the unfolding video content. 🎥
1/ To do so, we propose Cross-Temporal Representational Similarity Analysis (CT-RSA) 📈💡, which matches the best time-unfolded model features to dynamically evolving brain responses, revealing novel insights on how continuous visual input is integrated in the brain.
October 31, 2025 at 1:03 PM
1/ To do so, we propose Cross-Temporal Representational Similarity Analysis (CT-RSA) 📈💡, which matches the best time-unfolded model features to dynamically evolving brain responses, revealing novel insights on how continuous visual input is integrated in the brain.
4/ Additionally, we find state space models show superior alignment to intermediate posterior activity through mid-level action features, in which self-supervised pretraining is also beneficial.
October 30, 2025 at 3:53 PM
4/ Additionally, we find state space models show superior alignment to intermediate posterior activity through mid-level action features, in which self-supervised pretraining is also beneficial.
2/ We find responses in posterior electrodes, after initial alignment to hierarchical static object processing, best align to mid-level representations of temporally-integrative actions and closely match the unfolding video content. 🎥
October 30, 2025 at 3:53 PM
2/ We find responses in posterior electrodes, after initial alignment to hierarchical static object processing, best align to mid-level representations of temporally-integrative actions and closely match the unfolding video content. 🎥
1/ To do so we propose Cross-Temporal Representational Similarity Analysis (CT-RSA) 📈💡, which matches the best time-unfolded model features to dynamically evolving brain responses, revealing novel insights on how continuous visual input is integrated in the brain.
October 30, 2025 at 3:53 PM
1/ To do so we propose Cross-Temporal Representational Similarity Analysis (CT-RSA) 📈💡, which matches the best time-unfolded model features to dynamically evolving brain responses, revealing novel insights on how continuous visual input is integrated in the brain.