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Years

  • 2019

Authors

  • Avataradmin
  • AlexAlex
  • BatuhanBatuhan
  • Hamza GiaffarHamza Giaffar
  • Sergey ShuvaevSergey Shuvaev
  • Tumi TranTumi Tran

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  • October 2019

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Using the language of physics, mathematics, and machine learning to understand the brain

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Highlights

October 18, 2019

Neural networks that “smell”

When I took Chemistry class in college, we learned to infer properties of a chemical by looking at its...

by Tumi Tran
comment 1
October 18, 2019

The primacy model and the structure of olfactory space

Understanding sensory processing relies on establishing a consistent relationship between the stimulus space, its neural representation, and perceptual quality....

by Hamza Giaffar
comments 0
October 18, 2019

Connectome Cloning: A Theoretical Framework of Self-Assembly for Neural Networks

We recently published a paper on connectome cloning! In this post, I do a quick breakdown on what we...

by Batuhan
comments 0
October 4, 2019

Newsday article about Florin Albeanu

Newsday just published an article featuring our collaborator, Florin Albeanu. The article mentioned our collaborative paper that we published...

by Alex
comments 0

News

Come see us at SFN meeting in Chicago

by Alex

Our presentations: Poster: October 20, 2019, 1:00 PM 113.10. Pseudo-4D visualization and analysis of cell division and migration in the whole brain A. LAZUTKIN, S. SHUVAEV, R. KIRYANOV, I. DORONIN, K. ANOKHIN, A. KOULAKOV, G. ENIKOLOPOV; Poster: October 21, 2019, 1:00 PM: 325.24. Probing the neuronal circuitry of social hierarchy E. M. AMELCHENKO, D. SMAGIN, S. SHUVAEV, K. UMADEVI VENKATARAJU, P. OSTEN, N. KUDRYAVTSEVA,...

October 4, 2019
comments 0
Collaboration, Conference, News

Newsday article about Florin Albeanu

by Alex

Newsday just published an article featuring our collaborator, Florin Albeanu. The article mentioned our collaborative paper that we published this year in Nature Neuroscience. It is awesome to recognize that people in your community appreciate your research. Also very awesome were the Jordan angles, the mathematical formalism that we used in the paper. Who knew that technique developed in the XIXth century by Marie...

October 4, 2019
comments 0
Collaboration, Computational neuroscience, Data science, Highlights, Mathematics, Media, News, Olfaction, Papers

DeepNose at ICML

by Alex

Craig Smith, an award-winning New York Times correspondent, hosts a podcast called Eye On AI in which he interviews coolest ppl about AI news. Imagine my surprise when, at the ICML (International Conference on Machine Learning) in June this year, he asked me to sit down and talk about our sense of smell and how we might solve it using ML! Here’s the result....

October 3, 2019
comments 0
Algorithms, Deep learning, Highlights, Media, News, Olfaction

Behind the Scenes

Archives

  • October 2019 (14)

Categories

Algorithms Collaboration Computational neuroscience Conference Connectomics Data science Deep learning Highlights Mathematics Media Neural development Neuroinformatics News Olfaction Opinion Papers People Physics Positions Reinforcement learning Research Topic Science Theory Uncategorized

Neurotheory Lab calendar

Research topics

Algorithms, Collaboration, Deep learning, Reinforcement learning, Research Topic, Theory

Reinforcement learning

Reinforcement learning (RL) is the area of machine learning and artificial intelligence which deals with the strategies that rational agents can employ while navigating in an environment to maximize...

October 8, 2019
comments 0
Algorithms, Collaboration, Computational neuroscience, Connectomics, Data science, Neural development, Neuroinformatics, Research Topic

Connectomics

The connections between neurons determine the computations performed by a neural network. In both biological and artificial neural networks, connections are established and tuned by experience and learning. Connections...

October 8, 2019
comments 0
Algorithms, Computational neuroscience, Data science, Deep learning, Opinion, Reinforcement learning, Research Topic, Theory

The structure of the smelliverse

Olfaction is the final frontier of our senses, the one that remains mysterious to us. Despite extensive available data, fundamental questions about the sense of smell remain unresolved. Unlike...

October 7, 2019
comments 0
Computational neuroscience, Connectomics, Deep learning, Neural development, Research Topic, Theory

Computational principles of neural development

Human brain has the capacity to store about 45 years of visual experience [1]. Yet, our brain is formed during neural development based on about 1GB of information contained...

October 7, 2019
comments 0

Recent papers

DeepNose: Using artificial neural networks to represent the space of odorants
Tran, Ngoc, Kepple, Daniel, Shuvaev, Sergey and Koulakov, Alexei, Proceedings of the 36th International Conference on Machine Learning, (2019) v. 97, p. 6305--6314.

Neural networks with motivation
Shuvaev, Sergey A., Tran, Ngoc B., Stephenson-Jones, Marcus, Li, Bo and Koulakov, Alexei A., preprint:arXiv, (2019) v. https://arxiv.org/abs/1906.09528.

Network cloning using DNA barcodes
Shuvaev, S. A., Baserdem, B., Zador, A. M. and Koulakov, A. A., Proceedings of the National Academy of Sciences of the United States of America, (2019) v. 116, p. 9610-9615.

Deconstructing Odorant Identity via Primacy in Dual Networks
Kepple, D. R., Giaffar, H., Rinberg, D. and Koulakov, A. A., Neural Computation, (2019) v. 31, p. 710-737.

Mosaic representations of odors in the input and output layers of the mouse olfactory bulb
Chae, H., Kepple, D. R., Bast, W. G., Murthy, V. N., Koulakov, A. A. and Albeanu, D. F., Nature Neuroscience, (2019) v. 22, p. 1306-+.

Funding

Quote of the day

“Good walkers leave no tracks, good speakers make no errors, good mathematicians need no computers, good wardens have no need for bolts and locks for no one can get by them. Good binders can dispense with rope and cord, yet none can unloose their hold.”

Laozi

Contact

Cold Spring Harbor Laboratory

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1 Bungtown Road

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koulakov@cshl.edu

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