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Sugandha Sharma
Sugandha Sharma
Brain and Cognitive Sciences, MIT
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Content addressable memory without catastrophic forgetting by heteroassociation with a fixed scaffold
S Sharma, S Chandra, I Fiete
International Conference on Machine Learning, 19658-19682, 2022
182022
Large-scale cognitive model design using the Nengo neural simulator
S Sharma, S Aubin, C Eliasmith
Biologically Inspired Cognitive Architectures 17, 86-100, 2016
182016
A Spiking Neural Bayesian Model of Life Span Inference
S Sharma, AR Voelker, C Eliasmith
39th Annual Conference of the Cognitive Science Society, 2017
82017
Map Induction: Compositional spatial submap learning for efficient exploration in novel environments
S Sharma, A Curtis, M Kryven, J Tenenbaum, I Fiete
International Conference for Learning Representations (ICLR), 2022
42022
Fragmented spatial maps from surprisal: State abstraction and efficient planning
M Klukas, S Sharma, YL Du, T Lozano-Perez, L Kaelbling, I Fiete
bioRxiv, 2021.10. 29.466499, 2021
32021
Efficient Inference in Structured Spaces
H Sanders, M Wilson, M Klukas, S Sharma, I Fiete
Cell 183 (5), 1147-1148, 2020
32020
Neural plausibility of Bayesian inference
S Sharma
University of Waterloo, 2018
32018
High-capacity flexible hippocampal associative and episodic memory enabled by prestructured''spatial''representations
S *Chandra, S *Sharma, R Chaudhuri, I Fiete
bioRxiv, 2023.11. 28.568960, 2023
22023
A Neural Model of Context Dependent Decision Making in the Prefrontal Cortex
S Sharma, BJ Komer, TC Stewart, C Eliasmith
38th Annual Meeting of the Cognitive Science Society, 1122--1127, 2016
22016
Toward Human-AI Alignment in Large-Scale Multi-Player Games
S Sharma, G Davidson, K Khetarpal, A Kanervisto, U Arora, K Hofmann, ...
arXiv preprint arXiv:2402.03575, 2024
2024
Efficient exploration of spatial environments through Map Induction using adaptable compositional map representations
S Sharma, A Curtis, M Kryven, J Tenenbaum, I Fiete
Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022
2022
How is scene recognition in a convolutional network related to that in the human visual system?
S Sharma, B Tripp
Artificial Neural Networks and Machine Learning – ICANN 2016 9886, 280-287, 2016
2016
MODULAR NETWORKS WITH RANDOM PROJECTIONS FOR HIGH-CAPACITY ASSOCIATIVE PATTERN AND SE-QUENCE MEMORY
S Sharma, S Chandra, R Chaudhuri, M Klukas, I Fiete
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Articles 1–13