| The nature of the animacy organization in human ventral temporal cortex S Thorat, D Proklova, MV Peelen eLife 8, e47142, 2019 | 55 | 2019 |
| Implementing a reverse dictionary, based on word definitions, using a node-graph architecture S Thorat, V Choudhari International Conference on Computational Linguistics (COLING), 2797-2806, 2016 | 36 | 2016 |
| Category-orthogonal object features guide information processing in recurrent neural networks trained for object categorization S Thorat*, G Aldegheri*, TC Kietzmann Shared Visual Representations in Human & Machine Intelligence (SVRHM), NeurIPS, 2021 | 17 | 2021 |
| Body shape as a visual feature: Evidence from spatially-global attentional modulation in human visual cortex S Thorat, MV Peelen NeuroImage 255, 119207, 2022 | 12 | 2022 |
| Modulation of early visual processing alleviates capacity limits in solving multiple tasks S Thorat*, G Aldegheri*, MAJ van Gerven, MV Peelen Conference on Cognitive Computational Neuroscience (CCN), 226-229, 2019 | 6 | 2019 |
| The functional role of cue-driven feature-based feedback in object recognition S Thorat, M van Gerven, M Peelen Conference on Cognitive Computational Neuroscience (CCN), 1-4, 2018 | 6 | 2018 |
| Searching near and far: The attentional template incorporates viewing distance. S Gayet, E Battistoni, S Thorat, MV Peelen Journal of Experimental Psychology: Human Perception and Performance 50 (2), 216, 2024 | 5 | 2024 |
| Statistical learning of distractor co-occurrences facilitates visual search S Thorat, GL Quek, MV Peelen Journal of Vision 22 (10), 2-2, 2022 | 5 | 2022 |
| [B.Tech. thesis] Quadcopter flight control using modular spiking neural networks S Thorat Indian Institute of Technology, Bombay, Mumbai, 2015 | 4* | 2015 |
| Diagnosing Catastrophe: Large parts of accuracy loss in continual learning can be accounted for by readout misalignment D Anthes, S Thorat, P Konig, TC Kietzmann Conference on Cognitive Computational Neuroscience (CCN), 748-751, 2023 | 2 | 2023 |
| Predicting cued and oddball visual search performance from fMRI, MEG, and DNN neural representational similarity LC Yeh, S Thorat, MV Peelen Journal of Neuroscience 44 (12), 2024 | 1 | 2024 |
| Computational characterization of the role of an attention schema in controlling visuospatial attention L Piefke, A Doerig, T Kietzmann, S Thorat Proceedings of the Annual Meeting of the Cognitive Science Society, 46, 2024 | 1 | 2024 |
| Characterising representation dynamics in recurrent neural networks for object recognition S Thorat, A Doerig, TC Kietzmann Conference on Cognitive Computational Neuroscience (CCN), 645-647, 2023 | 1 | 2023 |
| [M.Sc. thesis] Using Convolutional Neural Networks to measure the contribution of visual features to the representation of object animacy in the brain S Thorat Center for Mind/Brain Sciences, University of Trento, 2019 | 1* | 2019 |
| Arithmetic computing via rate coding in neural circuits with spike-triggered adaptive synapses S Thorat, B Rajendran International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 1 | 2015 |
| Trainees’ perspectives and recommendations for catalyzing the next generation of NeuroAI researchers AI Luppi, J Achterberg, S Schmidgall, IP Bilgin, P Herholz, M Sprang, ... Nature communications 15 (1), 9152, 2024 | | 2024 |
| CorText: large language models for cross-modal transformations from visually evoked brain responses to text captions. V Bosch, D Gutlin, A Doerig, D Anthes, S Thorat, P Konig, TC Kietzmann Conference on Cognitive Computational Neuroscience (CCN), 2024 | | 2024 |
| Contrasting computational models of task-dependent readout from the ventral visual stream JJD Singer, RM Cichy*, TC Kietzmann*, S Thorat* Conference on Cognitive Computational Neuroscience (CCN), 2024 | | 2024 |
| Continual learning in artificial neural networks as a computational framework for understanding representational drift in neuroscience D Anthes, S Thorat, P Konig, TC Kietzmann Conference on Cognitive Computational Neuroscience (CCN), 2024 | | 2024 |
| Keep Moving: identifying task-relevant subspaces to maximise plasticity for newly learned tasks D Anthes*, S Thorat*, P König, TC Kietzmann 3rd Conference on Lifelong Learning Agents (CoLLAs), 2024 | | 2024 |
Marius PeelenDonders Institute for Brain, Cognition and BehaviourVerified email at donders.ru.nl
