Event
Exploring Representational Drift in Mouse Visual Cortex withDimensionality Reduction Analysis
About
A thesis presentation on how neural representations in mouse visual cortex change over time, using dimensionality reduction methods to find structure in complex neural data.
What to expect
The thesis develops and applies dimensionality reduction approaches to show how neural representations change over time.
Findings from mouse visual cortex show that representational drift is not random but depends on sensory experience.
- Visualization methods can be strongly affected by noise
- Distance-of-distance (DoD) transformation reduces distortion
- Representations change faster with repeated same-class stimuli
- Firing rates and temporal patterns change in different ways
- Chronic two-photon imaging platform tracks activity across weeks
FAQ
How do I register?
Registration goes through the Radboud University agenda page: ru.nl
Who organizes it?
Donders Centre for Neuroscience
Donders Institute for Brain, Cognition and Behaviour
Faculty of Science
What is the topic?
The thesis uses dimensionality reduction to study how neural representations in mouse visual cortex change over time, and links neural plasticity to principles of learning.
Getting there
Radboud Universiteit, Houtlaan 4, 6525 XZ Nijmegen, Gelderland, NL
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