Gido Van De Ven, D.Phil.
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Gido Van De Ven, D.Phil.
Postdoctoral Associate
Positions
- Postdoctoral Associate
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Neuroscience Department
Center for Neuroscience and Artificial Intelligence
Baylor College of Medicine
Houston, TX US
- Visiting Researcher
-
Department of Engineering
Computational and Biological Learning Lab
University of Cambridge
Cambridge, United Kingdom
Addresses
- BCM (Office)
-
Smith Medical Research Bldg
Room: BCMS-S553
Houston, TX 77030
United States
Andreas Tolias Lab
- University of Cambridge (Office)
-
Computational and Biological Learning Lab
Trumpington Street
Cambridge, TX CB2 1PZ
United States
CBL
Education
- PhD from University of Oxford
- 09/2017 - Oxford, UK
- Neuroscience
- MSc from University of Oxford
- 09/2012 - Oxford, UK
- Neuroscience
- MA from University of California, Berkeley
- 05/2011 - Berkeley, CA US
- Statistics
- BSc from Erasmus University
- 08/2008 - Rotterdam, the Netherlands
- Econometrics
Professional Statement
In my research, I aim to use insights and intuitions from neuroscience to make the behavior of deep neural networks more human-like. In particular, I am interested in the problem of continual learning, and generative models are my principal tool to address this problem. Previously, for my doctoral research, I used optogenetics and electrophysiological recordings in mice to study the role of replay in memory consolidation in the brain.Websites
Selected Publications
- van de Ven GM, Li Z, Tolias AS "Class-Incremental Learning with Generative Classifiers." CVPR Workshop Proceedings. 2021:3611-3620.
- van de Ven GM, Siegelmann HT, Tolias AS "Brain-inspired replay for continual learning with artificial neural networks." Nat Commun. 2020;11:4069.
- van de Ven GM, Tolias AS "Three scenarios for continual learning." arXiv preprint. 2019:arXiv:1904.07734.
- van de Ven GM, Trouche S, McNamara CG, Allen K, Dupret D "Hippocampal Offline Reactivation Consolidates Recently Formed Cell Assembly Patterns during Sharp Wave-Ripples." Neuron. 2016 Dec 7;92(5):968-974. Pubmed PMID: 27840002
- van de Ven GM, Tolias AS "Generative replay with feedback connections as a general strategy for continual learning." arXiv preprint. 2018:arXiv:1809.10635.
- Lopes-dos-Santos V, van de Ven GM, Morley A, Trouche S, Campo-Urriza N, Dupret D "Parsing Hippocampal Theta Oscillations by Nested Spectral Components during Spatial Exploration and Memory-Guided Behavior." Neuron. 2018 Nov 21;100(4):940-952.e7. Pubmed PMID: 30344040
- Trouche S, Perestenko PV, van de Ven GM, Bratley CT, McNamara CG, Campo-Urriza N, Black SL, Reijmers LG, Dupret D "Recoding a cocaine-place memory engram to a neutral engram in the hippocampus." Nat Neurosci. 2016 Apr;19(4):564-567. Pubmed PMID: 26900924
- Möttönen R, van de Ven GM, Watkins KE "Attention fine-tunes auditory-motor processing of speech sounds." J Neurosci. 2014 Mar 12;34(11):4064-4069. Pubmed PMID: 24623783
Funding
- IBRO-ISN Research Fellowship (10/16/2017 - 10/15/2018) International Brain Research Organization (IBRO)
- Lifelong Learning Machines (L2M) Program - #HR0011-18-2-0025 (03/01/2018 - 11/30/2021) Grant funding from Defense Advanced Research Projects Agency (DARPA)
- Collaborative grant with labs at NYU and Columbia University.
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