Nina Kudryashova

Nina Kudryashova

Research Associate

School of Informatics, University of Edinburgh

Biography

I am currently a Research Associate at the School of Informatics, University of Edinburgh. I will start my own research group in mid 2024. I work in the field of NeuroAI: an intersection between studies of natural and artificial intelligence.

Drawing on my interdisciplinary background, I view intelligence as fundamentally linked to predictive processing and dynamic interaction with the environment. I am also interested in applying my research to understanding the mechanisms underlying autism spectrum disorders, and enabling effective decoding of movement for developing prosthetic devices and human-machine interfaces.

Interests
  • Latent neural population dynamics
  • Motor control: movement planning and correction
  • Predictive processing in neural populations
Education
  • PhD in Biophysics, 2018

    University of Ghent

  • MSc in Applied Mathematics and Physics, 2015

    Moscow Institute of Physics and Technology (MIPT)

  • BSc in Applied Mathematics and Physics, 2013

    Moscow Institute of Physics and Technology (MIPT)

Experience

 
 
 
 
 
School of Informatics, University of Edinburgh
A new exciting job
School of Informatics, University of Edinburgh
July 2024 – Present Edinburgh
TBA
 
 
 
 
 
School of Informatics, University of Edinburgh
Research Associate
School of Informatics, University of Edinburgh
January 2024 – June 2024 Edinburgh
Group of Prof Matthias Hennig. I work on aligning neural responses in motor cortical areas to behavioral output of animals performing reaching movements (collaboration with Prof Miller, Northwestern and Prof Duguid, UoE). Our Behavior-aligned neural dynamics (BAND) model achieved the highest performance in behavior reconstruction on a major public benchmark in this field: the Neural Latents Benchmark.
 
 
 
 
 
Centre for Discovery Brain Sciences, University of Edinburgh
Postdoctoral Researcher
Centre for Discovery Brain Sciences, University of Edinburgh
September 2022 – December 2023 Edinburgh, UK

Laboratory of Prof Nathalie Rochefort. I analysed large-scale neuronal recordings in awake behaving mice and:

  • Revealed communication between multiple simultaneously recorded brain areas and identified the information that was being communicated (ongoing project).
  • Compared attention to movie presentation in neurotypical and autism spectrum disorder (ASD) mouse models.
  • Decoded the predicted locations of the mouse navigating in a familiar environment in the dark (my analysis helped secure 5-year funding for an experimental neuroscience postdoc).’
 
 
 
 
 
School of Informatics, University of Edinburgh
Research Associate
School of Informatics, University of Edinburgh
March 2019 – August 2022 Edinburgh
Group of Dr Arno Onken. Developed Copula-GP package(GitHub, PyPI), applied to the visual cortex recordings from mice engaged in a navigational task in a virtual reality environment.

Recent Publications

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(2023). Ctrl-TNDM: Decoding feedback-driven movement corrections from motor cortex neurons. Computational and Systems Neuroscience (Cosyne) 2023.

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(2023). Weak behavior supervision for latent dynamics is all you need. Bernstein Conference 2023.

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(2022). Can the Insect Path Integration Memory be a Bump Attractor?. bioRxiv.

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(2022). Identification of electrical rotational activity in noisy cardiac tissue recordings using a deep neural network. Europace.

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(2022). Parametric Copula-GP model for analyzing multidimensional neuronal and behavioral relationships. PLoS computational biology.

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Contact

My preferred way of communication is work slack / email.