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Alexei A. Koulakov
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2020 – today
- 2023
- [c4]Sergey Shuvaev, Evgeny Amelchenko, Dmitry A. Smagin, Natalia N. Kudryavtseva, Grigori Enikolopov, Alexei A. Koulakov:
A normative theory of social conflict. NeurIPS 2023 - 2022
- [i4]Anthony Zador, Blake A. Richards, Bence Ölveczky, Sean Escola, Yoshua Bengio, Kwabena Boahen, Matthew M. Botvinick, Dmitri B. Chklovskii, Anne Churchland, Claudia Clopath, James DiCarlo, Surya Ganguli, Jeff Hawkins, Konrad P. Körding, Alexei A. Koulakov, Yann LeCun, Timothy P. Lillicrap, Adam H. Marblestone, Bruno A. Olshausen, Alexandre Pouget, Cristina Savin, Terrence J. Sejnowski, Eero P. Simoncelli, Sara A. Solla, David Sussillo, Andreas S. Tolias, Doris Tsao:
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. CoRR abs/2210.08340 (2022) - 2020
- [c3]Sergey Shuvaev, Sarah Starosta, Duda Kvitsiani, Ádám Kepecs, Alexei A. Koulakov:
R-learning in actor-critic model offers a biologically relevant mechanism for sequential decision-making. NeurIPS 2020
2010 – 2019
- 2019
- [j7]Daniel R. Kepple, Hamza Giaffar, Dmitry Rinberg, Alexei A. Koulakov:
Deconstructing Odorant Identity via Primacy in Dual Networks. Neural Comput. 31(4) (2019) - [c2]Ngoc B. Tran, Daniel R. Kepple, Sergey Shuvaev, Alexei A. Koulakov:
DeepNose: Using artificial neural networks to represent the space of odorants. ICML 2019: 6305-6314 - [i3]Sergey A. Shuvaev, Ngoc B. Tran, Marcus Stephenson-Jones, Bo Li, Alexei A. Koulakov:
Neural networks with motivation. CoRR abs/1906.09528 (2019) - 2017
- [c1]Daniel R. Kepple, Hamza Giaffar, Dima Rinberg, Alexei A. Koulakov:
Primacy coding in dual olfactory networks. ACSSC 2017: 587-592 - [i2]Sergey Shuvaev, Hamza Giaffar, Alexei A. Koulakov:
Representations of Sound in Deep Learning of Audio Features from Music. CoRR abs/1712.02898 (2017) - 2014
- [j6]Honi Sanders, Brian E. Kolterman, Roman Shusterman, Dmitry Rinberg, Alexei A. Koulakov, John Lisman:
A network that performs brute-force conversion of a temporal sequence to a spatial pattern: relevance to odor recognition. Frontiers Comput. Neurosci. 8: 108 (2014)
2000 – 2009
- 2008
- [j5]Maxim Nikitchenko, Alexei A. Koulakov:
Neural Integrator: A Sandpile Model. Neural Comput. 20(10): 2379-2417 (2008) - 2006
- [j4]Alexei A. Koulakov, Dmitry Rinberg, Dmitry N. Tsigankov:
How to find decision makers in neural networks. Biol. Cybern. 94(1): 86-88 (2006) - [j3]Dmitry N. Tsigankov, Alexei A. Koulakov:
A unifying model for activity-dependent and activity-independent mechanisms predicts complete structure of topographic maps in ephrin-A deficient mice. J. Comput. Neurosci. 21(1): 101-114 (2006) - 2005
- [j2]Alexei A. Koulakov, Dmitry Rinberg, Dmitry N. Tsigankov:
How to Find Decision Makers in Neural Networks. Biol. Cybern. 93(6): 447-462 (2005) - 2002
- [j1]Alexei A. Koulakov, Dmitri B. Chklovskii:
Direction of motion maps in the visual cortex: a wire length minimization approach. Neurocomputing 44-46: 489-494 (2002)
1990 – 1999
- 1999
- [i1]Dmitri B. Chklovskii, Alexei A. Koulakov:
Ocular dominance patterns in mammalian visual cortex: A wire length minimization approach. CoRR cond-mat/9906206 (1999)
Coauthor Index
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