Computational Neuroscientist at Cold Spring Harbor Lab
Joined July 2012
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Exited to share our study where we find that encoding principles of cognitive variables are similar to those of sensory variables. biorxiv.org/content/10.1101/…
Cognitive processes are elusive: each decision takes a unique path observed only in spikes of heterogeneous neurons. In a new preprint, we trace decisions spike-by-spike to uncover the dynamics and geometry of the neural population code for choice.
biorxiv.org/content/10.1101/…
Mikhail Genkin retweeted
“Like a group of skiers descending a mountain, each [neuron] prefers a slightly different path, but all are shaped by the same slope,” says @Princeton’s @EngelTatiana on her lab’s new @Nature study of how the brain makes decisions.
📰: pni.princeton.edu/news/2025/…
ALT Wooden puzzle of human brain, with the following text overlaid: "All for one: How diverse brain cells reach a decision together"
Mikhail Genkin retweeted
Out today in @Nature: we show that individual neurons have diverse tuning to a decision variable computed by the entire population, revealing a unifying geometric principle for the encoding of sensory and dynamic cognitive variables.
nature.com/articles/s41586-0…
Mikhail Genkin retweeted
A unifying perspective on neural manifolds and circuits for cognition — a Perspective by Christopher Langdon, Mikhail Genkin & Tatiana A. Engel
@chrismlangdon @MGENK @EngelTatiana
go.nature.com/3GHKOCV
Mikhail Genkin retweeted
What approach can explain the link between the brain and behavior? Shall we focus on neural circuits or manifolds? With @chrismlangdon & @MGENK, we provide a unifying perspective on manifolds and circuits, just out in @NatRevNeurosci: nature.com/articles/s41583-0…. #tweeprint 👇
Mikhail Genkin retweeted
In decision-making tasks excitatory and inhibitory neurons show selectively for an upcoming choice. @EngelTatiana, @anne_churchland, and I explore the effects of inhibitory choice selectivity in decision making circuits using mean-field and RNN models. biorxiv.org/content/10.1101/…
Mikhail Genkin retweeted
Excited to share our bioRxiv preprint with @EngelTatiana.
Cortical neurons show mixed selectivity for multiple task variables. We develop a latent circuit model for inferring interpretable circuit mechanisms from heterogeneous neural responses.
biorxiv.org/content/10.1101/…
Mikhail Genkin retweeted
What advantages can neuro-inspired ANN architectures have for motor control / robotics?
We translate C. elegans locomotion circuits into an ANN model controlling a simulated Swimmer agent.
arxiv.org/abs/2201.05242
github.com/nikhilxb/ncap
w/ @TonyZador, @EngelTatiana
Mikhail Genkin retweeted
Out today in @NatureComms the work led by @YanliangShi. We show that cortical state dynamics and selective attention define the spatial pattern of noise correlations. Many thanks to @SteinmetzNeuro, Tirin Moore, and @boahen_k for the great collaboration.
nature.com/articles/s41467-0…
Mikhail Genkin retweeted
Excited to see this work with @MGENK and @owenkhughes out in @NatureComms today.
The paper is open access: nature.com/articles/s41467-0…
The code + tutorials are available on GitHub: github.com/engellab/neuralfl…
New work with @MGENK and @owenkhughes: Learning non-stationary Langevin dynamics from stochastic observations of latent trajectories. Inference of non-stationary latent dynamics from spikes, applied to models of decision-related neural activity.
arxiv.org/abs/2012.14944
Our study on learning Langevin dynamics from noisy observations of non-stationary systems is published in Nat Commun. Our method infers the dynamics underlying decision-making from spiking activity.
Paper: nature.com/articles/s41467-0…. Python package: github.com/engellab/neuralfl…
Tomorrow, Sep. 24, 11am - 2 pm at @CogCompNeuro, @EngelTatiana will talk about flexible computational framework for modeling neural population dynamics during decision-making, and I will give a tutorial on our python package neuralflow: github.com/engellab/neuralfl….
Mikhail Genkin retweeted
Join us tomorrow Sep 24 11am-2pm ET for the virtual @CogCompNeuro Keynote & Tutorial. I will talk about flexible models of neural population dynamics and decision making, and @MGENK will give a tutorial on our software package github.com/engellab/neuralfl….
2021.ccneuro.org/event.php?e…
Mikhail Genkin retweeted
After the rough year of separation and isolation, everyone was looking forward to traveling to see our families. All Russians working in the US on a visa cannot do it. If they leave the US, they won’t be able to come back. Our parents cannot come either. No visas = more isolation
Today I will be talking about the flexible identification of decision-making dynamics from heterogeneous neural responses. Check out my talk at 2:20 pm. @CosyneMeeting.
Excited to share our arXiv preprint with @owenkhughes and @EngelTatiana. We develop a framework for inferring non-stationary Langevin dynamics from stochastic observations and test it on spike data generated from decision-making models.
Link: arxiv.org/abs/2012.14944
We present a framework for learning non-stationary Langevin dynamics from stochastic observations. Our framework accounts for the non-equilibrium initial and final states of the system and for the possibility that the system's dynamics can control the duration of observations.
