| Deep cross-modal audio-visual generation L Chen, S Srivastava, Z Duan, C Xu Proceedings of the on Thematic Workshops of ACM Multimedia 2017, 349-357, 2017 | 246 | 2017 |
| Deep learning–based scene simplification for bionic vision N Han, S Srivastava, A Xu, D Klein, M Beyeler Proceedings of the Augmented Humans International Conference 2021, 45-54, 2021 | 51 | 2021 |
| Emergent human-like covert attention in feedforward convolutional neural networks S Srivastava, WY Wang, MP Eckstein Current Biology 34 (3), 579-593. e12, 2024 | 6* | 2024 |
| Conclusions about neural network to brain alignment are profoundly impacted by the similarity measure A Soni, S Srivastava, K Kording, M Khosla bioRxiv, 2024.08. 07.607035, 2024 | 5 | 2024 |
| Neuronal population statistics, computations, and mechanisms of a feedforward convolutional neural network that learns to covertly attend S Srivastava, WY Wang, MP Eckstein bioRxiv, 2023.09. 17.558171, 2023 | 2 | 2023 |
| Statistical characterization of a convolutional neural network which learns global context during search S Srivastava, M Eckstein Journal of Vision 22 (14), 4466-4466, 2022 | 2 | 2022 |
| Evaluating Representational Similarity Measures from the Lens of Functional Correspondence Y Bo, A Soni, S Srivastava, M Khosla arXiv preprint arXiv:2411.14633, 2024 | 1 | 2024 |
| Enhancing simulated prosthetic vision with deep learning–based scene simplification strategies A Xu, N Han, S Srivastava, D Klein, M Beyeler Journal of Vision 21 (9), 2308-2308, 2021 | 1 | 2021 |
| Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts C Kapoor, S Srivastava, M Khosla arXiv preprint arXiv:2502.18710, 2025 | | 2025 |
| Comparing Convolutional Neural Networks to Traditional Models of Covert Attention During Visual Search AK Soni, S Srivastava, MP Eckstein Journal of Vision 24 (10), 1497-1497, 2024 | | 2024 |
| Mechanisms of a Convolutional Neural Network that Learns to Covertly Attend S Srivastava, MP Eckstein Journal of Vision 24 (10), 1312-1312, 2024 | | 2024 |
| The Effect of Attention on Contrast Response Functions in Convolutional Neural Networks S Srivastava, MP Eckstein Conference on Cognitive Computational Neuroscience (CCN), 2024 | | 2024 |
| Bridging Neurons and Behavior in a Convolutional Neural Network with Emergent Human-like Covert Attention S Srivastava, WY Wang, MP Eckstein bioRxiv, 2024 | | 2024 |
| The Emergence of Human-like Covert Visual Attention in Convolutional Neural Networks S Srivastava UC Santa Barbara, 2024 | | 2024 |
| Statistical Characterization of Attention Effects on the Contrast Tuning Functions Of Neuronal Populations of a Convolutional Neural Network S Srivastava, MP Eckstein Journal of Vision 23 (9), 5941-5941, 2023 | | 2023 |
| Lower Search Efficiency for Conjunction vs. Feature Search for Convolutional Neural Networks AK Soni, S Srivastava, MP Eckstein Journal of Vision 23 (9), 5193-5193, 2023 | | 2023 |
| A Feed-Forward Convolutional Neural Network Learns to Covertly Attend like Humans to Cues and Context S Srivastava, MP Eckstein PERCEPTION 50 (1_ SUPPL), 15-16, 2021 | | 2021 |
| Neuronal Population Tuning Statistics to Target and Cues for a feed-Forward Convolutional Neural Network that Learns to Covertly Attend S Srivastava, MP Eckstein Journal of Vision 21 (9), 2885, 2021 | | 2021 |
| A Feedforward Convolutional Neural Network Learns from Images to Covertly Attend to Contextual Cues Like Human and Bayesian Ideal Observers S Srivastava, WY Wang, MP Eckstein Available at SSRN 4472734, 2021 | | 2021 |
Miguel EcksteinProfessor of Psychological and Brain Sciences, University of California, Santa BarbaraПодтвержден адрес электронной почты в домене psych.ucsb.edu