Alexei A. Koulakov

According to our database, Alexei A. Koulakov authored at least 15 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The primacy model and the structure of olfactory space.

Hamza Giaffar, Sergey Shuvaev, Dmitry Rinberg, Alexei A. Koulakov

PLoS Comput. Biol., 2024

2023

A normative theory of social conflict.

Sergey Shuvaev, Evgeny Amelchenko, Dmitry A. Smagin, Natalia N. Kudryavtseva, Grigori Enikolopov, Alexei A. Koulakov

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution.

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

CoRR, 2022

2020

R-learning in actor-critic model offers a biologically relevant mechanism for sequential decision-making.

Sergey Shuvaev, Sarah Starosta, Duda Kvitsiani, Ádám Kepecs, Alexei A. Koulakov

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Deconstructing Odorant Identity via Primacy in Dual Networks.

Daniel R. Kepple, Hamza Giaffar, Dmitry Rinberg, Alexei A. Koulakov

Neural Comput., 2019

Neural networks with motivation.

Sergey A. Shuvaev, Ngoc B. Tran, Marcus Stephenson-Jones, Bo Li, Alexei A. Koulakov

CoRR, 2019

DeepNose: Using artificial neural networks to represent the space of odorants.

Ngoc B. Tran, Daniel R. Kepple, Sergey Shuvaev, Alexei A. Koulakov

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

Representations of Sound in Deep Learning of Audio Features from Music.

Sergey Shuvaev, Hamza Giaffar, Alexei A. Koulakov

CoRR, 2017

Primacy coding in dual olfactory networks.

Daniel R. Kepple, Hamza Giaffar, Dima Rinberg, Alexei A. Koulakov

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2014

A network that performs brute-force conversion of a temporal sequence to a spatial pattern: relevance to odor recognition.

Honi Sanders, Brian E. Kolterman, Roman Shusterman, Dmitry Rinberg, Alexei A. Koulakov, John Lisman

Frontiers Comput. Neurosci., 2014

2008

Neural Integrator: A Sandpile Model.

Maxim Nikitchenko, Alexei A. Koulakov

Neural Comput., 2008

2006

A unifying model for activity-dependent and activity-independent mechanisms predicts complete structure of topographic maps in ephrin-A deficient mice.

Dmitry N. Tsigankov, Alexei A. Koulakov

J. Comput. Neurosci., 2006

2005

How to Find Decision Makers in Neural Networks.

Alexei A. Koulakov, Dmitry Rinberg, Dmitry N. Tsigankov

Biol. Cybern., 2005

2002

Direction of motion maps in the visual cortex: a wire length minimization approach.

Alexei A. Koulakov, Dmitri B. Chklovskii

Neurocomputing, 2002

1999

Ocular dominance patterns in mammalian visual cortex: A wire length minimization approach

Dmitri B. Chklovskii, Alexei A. Koulakov

CoRR, 1999