Alex Koulakov
@alexkoulakov.bsky.social
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Excited to announce our new study in which we convert mouse neural responses into natural language (English) descriptions of odorants. Comments, suggestions are highly appreciated as always:
www.biorxiv.org/content/10.6...
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https://www.biorxiv.org/content/10.64898/2026.03.04.709650v1
20 days ago
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my talk at a physics workshop about genomic bottleneck (a work with
@tonyzador.bsky.social
and Sergey Shuvaev). any comments on the (half-joking) triple inheritance theory are much appreciated:
m.youtube.com/watch?v=Z-zD...
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From Neurons to Newtons
YouTube video by Alexei Koulakov
https://m.youtube.com/watch?v=Z-zDHT3Cd9c
about 1 year ago
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my talk about deep learning in olfaction at NAISys 2024 is posted on yoitube:
www.youtube.com/watch?v=RRo5...
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My talk at NAISys 2024 conference at CSHL.
YouTube video by Alexei Koulakov
https://www.youtube.com/watch?v=RRo5Z6inTF8
about 1 year ago
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reposted by
Alex Koulakov
The Transmitter
over 1 year ago
A background in physics, and his own curiosity, have helped Dmitry Rinberg tackle the complexities of the neuroscience of smell. More on Rinberg sniffing out the mysteries of olfaction. By Lina Zeldovich
www.thetransmitter.org/olfaction/sn...
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Our DeepNose paper is in arxiv. In it, we present an equivariant CNN which can predict human olfactory perception based on molecular shapes, including mixtures. Comments/suggestions are very welcome.
arxiv.org/abs/2412.08747
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DeepNose: An Equivariant Convolutional Neural Network Predictive Of Human Olfactory Percepts
The olfactory system employs responses of an ensemble of odorant receptors (ORs) to sense molecules and to generate olfactory percepts. Here we hypothesized that ORs can be viewed as 3D spatial filter...
https://arxiv.org/abs/2412.08747
over 1 year ago
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neurips meeting is very exciting! heres an image that summarizes my thoughts
over 1 year ago
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80% of people think they respond to emails better than average
over 1 year ago
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