Accounting for sensitivity of latent learning to behavioral statistics with successor representations
Menezes, M., Zeng, X., &
Cheng, S.PLOS Computational Biology,
22(3), e1014131
@article{MenezesZengCheng2026,
author = {Menezes, Matheus and Zeng, Xiangshuai and Cheng, Sen},
title = {Accounting for sensitivity of latent learning to behavioral statistics with successor representations},
journal = {PLOS Computational Biology},
volume = {22},
number = {3},
pages = {e1014131},
month = {March},
year = {2026},
doi = {10.1371/journal.pcbi.1014131},
}
2025
A taxonomy of spatial navigation in mammals: Insights from computational modeling
Vijayabaskaran, S.,
Zeng, X.,
Ghazinouri, B.,
Wiskott, L., &
Cheng, S.Neuroscience & Biobehavioral Reviews,
176, 106282
@article{VijayabaskaranZengGhazinouriEtAl2025,
author = {Vijayabaskaran, Sandhiya and Zeng, Xiangshuai and Ghazinouri, Behnam and Wiskott, Laurenz and Cheng, Sen},
title = {A taxonomy of spatial navigation in mammals: Insights from computational modeling},
journal = {Neuroscience & Biobehavioral Reviews},
volume = {176},
pages = {106282},
month = {July },
year = {2025},
doi = {10.1016/j.neubiorev.2025.106282},
}
Vijayabaskaran, S.,
Zeng, X.,
Ghazinouri, B.,
Wiskott, L., &
Cheng, S.. (2025). A taxonomy of spatial navigation in mammals: Insights from computational modeling.
Neuroscience & Biobehavioral Reviews,
176, 106282.
http://doi.org/10.1016/j.neubiorev.2025.106282
2023
CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning
Diekmann, N.,
Vijayabaskaran, S.,
Zeng, X.,
Kappel, D., Menezes, M. C., &
Cheng, S.Frontiers in Neuroinformatics,
17
@article{DiekmannVijayabaskaranZengEtAl2023,
author = {Diekmann, Nicolas and Vijayabaskaran, Sandhiya and Zeng, Xiangshuai and Kappel, David and Menezes, Matheus Chaves and Cheng, Sen},
title = {CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning},
journal = {Frontiers in Neuroinformatics},
volume = {17},
month = {March},
year = {2023},
doi = {10.3389/fninf.2023.1134405},
}
Diekmann, N.,
Vijayabaskaran, S.,
Zeng, X.,
Kappel, D., Menezes, M. C., &
Cheng, S.. (2023). CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning.
Frontiers in Neuroinformatics,
17.
http://doi.org/10.3389/fninf.2023.1134405
Modeling the function of episodic memory in spatial learning
Zeng, X.,
Diekmann, N.,
Wiskott, L., &
Cheng, S.Frontiers in Psychology,
14
@article{ZengDiekmannWiskottEtAl2023,
author = {Zeng, Xiangshuai and Diekmann, Nicolas and Wiskott, Laurenz and Cheng, Sen},
title = {Modeling the function of episodic memory in spatial learning},
journal = {Frontiers in Psychology},
volume = {14},
year = {2023},
doi = {10.3389/fpsyg.2023.1160648},
}
There is still great uncertainty as to what episodic memory is and what function it might serve. Within the research unit FOR 2812, we are working on an interdisciplinary framework for episodic memory.
The Institut für Neuroinformatik (INI) is a research unit of the Faculties of Computer Science and Medicine at the Ruhr-Universität Bochum. Its scientific goal is to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory and effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental psychology and neurophysiology as well as machine learning, neural artificial intelligence, computer vision, and robotics.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany
Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210
