@inproceedings{bib_Seei_2025, AUTHOR = {Prajneya Kumar, Eshika Khandelwal, Makarand Tapaswi, Vishnu Sreekumar}, TITLE = {Seeing Eye to AI Comparing Human Gaze and Model Attention in Video Memorability}, BOOKTITLE = {Winter Conference on Applications of Computer Vision}. YEAR = {2025}}

Understanding what makes a video memorable has important applications in advertising or education technology. Towards this goal, we investigate spatio-temporal attention mechanisms underlying video memorability. Different from previous works that fuse multiple features, we adopt a simple CNN+Transformer architecture that enables analysis of spatio-temporal attention while matching state-of-the-art (SoTA) performance on video memorability prediction. We compare model attention against human gaze fixations collected through a small-scale eye-tracking study where humans perform the video memory task. We uncover the following insights: (i) Quantitative saliency metrics show that our model, trained only to predict a memorability score, exhibits similar spatial attention patterns to human gaze, especially for more memorable videos. (ii) The model assigns greater importance to initial frames in a video, mimicking human attention patterns. (iii) Panoptic segmentation reveals that both (model and humans) assign a greater share of attention to things and less attention to stuff as compared to their occurrence probability.

@inproceedings{bib_Is_m_2024, AUTHOR = {Vishnu Sreekumar}, TITLE = {Is memory affected in the long run following SARS-CoV-2 infection}, BOOKTITLE = {Peer Community in Registered Reports}. YEAR = {2024}}

SARS-CoV-2, the virus responsible for the Covid-19 pandemic, has been shown to have an impact on cognitive function, but the specific aspects of cognition that are affected remain unclear. In this Registered Report, we present a study aimed at further understanding the effects of SARS-CoV-2 on cognition, focusing especially on memory function, and to examine whether vaccination offers protection against long term cognitive symptoms of Covid-19. To this end, we will aim to replicate previous findings showing an effect of Covid-19 on memory, and will extend these findings by examining whether the effect varies as a function of memory type (item vs. associative) and stimulus type (verbal vs. pictorial). Moreover, we will compare cognitive functioning amongst vaccinated and unvaccinated individuals to explore the role of vaccination status in cognitive symptoms associated with Long Covid. Overall, the study will provide valuable insights into effects of SARS-CoV-2 infection on cognitive functions, and whether (and how) these are moderated by vaccination status. Comprehensive understanding of these aspects can inform and guideline public attitudes and policies related to Covid-19 and vaccination.

@inproceedings{bib_Towa_2024, AUTHOR = {R Pooja, Pritha Ghosh, Vishnu Sreekumar}, TITLE = {Towards an ecologically valid naturalistic cognitive neuroscience of memory and event cognition}, BOOKTITLE = {Neuropsychologia}. YEAR = {2024}}

The landscape of human memory and event cognition research has witnessed a transformative journey toward the use of naturalistic contexts and tasks. In this review, we track this progression from abrupt, artificial stimuli used in extensively controlled laboratory experiments to more naturalistic tasks and stimuli that present a more faithful representation of the real world. We argue that in order to improve ecological validity, naturalistic study designs must consider the complexity of the cognitive phenomenon being studied. Then, we review the current state of “naturalistic” event segmentation studies and critically assess frequently employed movie stimuli. We evaluate recently developed tools like lifelogging and other extended reality technologies to help address the challenges we identified with existing naturalistic approaches. We conclude by offering some guidelines that can be used to design ecologically valid cognitive neuroscience studies of memory and event cognition.

@inproceedings{bib_From_2024, AUTHOR = {Kumar Neelabh, Vishnu Sreekumar}, TITLE = {From Sound To Meaning In The Auditory Cortex: A Neuronal Representation And Classification Analysis}, BOOKTITLE = {Annual Conference of the International Speech Communication Association}. YEAR = {2024}}

The neural mechanisms underlying the comprehension of meaningful sounds are yet to be fully understood. While previous research has shown that the auditory cortex can classify auditory stimuli into distinct semantic categories, the specific contributions of the primary (A1) and the secondary auditory cortex (A2) to this process are not well understood. We used songbirds as a model species, and analyzed their neural responses as they listened to their entire vocal repertoire ((sim )10 types of vocalizations). We first demonstrate that the distances between the call types in the neural representation spaces of A1 and A2 are correlated with their respective distances in the acoustic feature space. Then, we show that while the neural activity in both A1 and A2 is equally informative of the acoustic category of the vocalizations, A2 is significantly more informative of the semantic category of those vocalizations. Additionally, we show that the semantic categories are more separated in A2. These findings suggest that as the incoming signal moves downstream within the auditory cortex, its acoustic information is preserved, whereas its semantic information is enhanced.