Publications
Journals
- Sarkar, A., Dipani, A., Leodori, G., Popa, T., Kassavetis, P., Hallett, M., Thirugnanasambandam, N. (2022). Inter-Individual Variability in Motor Output Is Driven by Recruitment Gain in the Corticospinal Tract Rather Than Motor Threshold. Brain Sciences, 12(10), 1401
- t Hart, B., …, Dipani, A., … et al. (2022). Neuromatch Academy: a 3-week, online summer school in computational neuroscience. Journal of Open Source Education, 5(49), 118
Conferences
- Hu S.X., Arefin M.R., Nguyen V.-N., Dipani, A., Pitkow X., Tolias A.S. (2021). AvaTr: One-Shot Speaker Extraction with Transformers, Proc. Interspeech 2021, 3510-3514
Presentations
Talks
- Dipani, A., Jaing, H., Kwon, M. (2023). Local texture manipulation further illuminates the intrinsic difference between CNNs and human vision, Vision Sciences Society Meeting (VSS) 2023
Posters
- Kwon, M., Dipani, A. (2023). Mr. Chips Jr. : A transformer-based computational model to study eye movements during reading, Vision Sciences Society Meeting (VSS) 2023
- Dipani, A., Lakshminarayanan, R., Leodori, G., Popa, T., Kassavetis, P., Hallett, M., Thirugnanasambandam, N. (2022). An interpretable machine learning model to predict motor surround inhibition, International Congress of Clinical Neurophysiology (ICCN) 2022
- Sarkar, A., Dipani, A., Leodori, G., Popa, T., Kassavetis, P., Hallett, M., Thirugnanasambandam, N. (2022). Inter-individual variability in motor output is driven by recruitment gain rather than motor threshold, International Congress of Clinical Neurophysiology (ICCN) 2022
- Akshi, Kalra K., Choudhary Y., Dipani, A., Bhattacharjee A., Urai A.E. (2020) Classifying fMRI data for context-dependent and context-independent language tasks, Bernstein Conference 2020
- Avisha, Singh A., Bhatnagar H., Dipani, A., Bhattacharjee A., Seethapathi N. (2020) Shared neural activity patterns between facial expression and shape recognition, Neuromatch Conference 3.0
Workshops
- Dipani, A., Iyer, G., Baths, V. (2020) Recognizing Music Mood and Theme Using Convolutional Neural Networks and Attention, MediaEval Workshop 2020