Sushrut Thorat
Sushrut Thorat
Institute of Cognitive Science, Osnabrück University
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Citata da
Citata da
The nature of the animacy organization in human ventral temporal cortex
S Thorat, D Proklova, MV Peelen
eLife 8, e47142, 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
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
Body shape as a visual feature: Evidence from spatially-global attentional modulation in human visual cortex
S Thorat, MV Peelen
NeuroImage 255, 119207, 2022
Statistical learning of distractor co-occurrences facilitates visual search
S Thorat, GL Quek, MV Peelen
Journal of Vision 22 (10), 2-2, 2022
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
[Bachelors thesis] Quadcopter flight control using modular spiking neural networks
SR Thorat
Department of Physics, Indian Institute of Technology, Bombay, 2015
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
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
[Masters 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 (CIMeC), University of Trento, 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
Predicting cued and oddball visual search performance from fMRI, MEG, and DNN neural representational similarity
LC Yeh, S Thorat, MV Peelen
Journal of Neuroscience, 2024
Computational characterization of the role of an attention schema in controlling visuospatial attention
L Piefke, A Doerig, T Kietzmann, S Thorat
arXiv preprint arXiv:2402.01056, 2024
Balancing stability and plasticity in continual learning: the readout-decomposition of activation change (RDAC) framework
D Anthes*, S Thorat*, P König, TC Kietzmann
arXiv preprint arXiv:2310.04741, 2023
Searching near and far: the attentional template incorporates viewing distance
S Gayet, E Battistoni, S Thorat, M Peelen
PsyArXiv, 2023
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
[Doctoral thesis] Smart search: Investigations into human visual search in structured environments
SR Thorat
Donders Institute for Brain, Cognition and Behaviour, Radboud University, 2022
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