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Catalin C. Mitelut, PhD, JD

 

Welcome to my website. I am a postdoctoral researcher in statistics and neuroscience at Columbia University in NYC, previously a phd student in neuroscience at the University of British Columbia in Vancouver and a visiting scientist at the Allen Institute for Brain Science in Seattle.

Research Interests

My primary research interest is to investigate the neural content and dynamics of self-initiated movements with a focus on algorithm and model development. Self-initiated movements form the basis of volitional acts and are related to millennia-old debates about free will and have now become a topic of scientific investigation thanks largely to novel experimental neuroscience recording methods.

I carry out research in multiple areas including developing processing tools for large-scale neuronal datasets and recording neural activity from behaving mice:

  • spike sorting tool development for processing large-scale neural recordings (including testing of novel methods using GPU and parallelizable CPU modules)
  • development of simulated ground truth datasets for algorithm assessment (www.spikesortingtest.com)
  • biophysical detailed network modelling (www.openneuron.com/videos/)
  • extracellular electrophysiology in cortex (experiment and data analysis)
  • widefield optical imaging (experiment and data analysis)
  • behavioural video machine learning clasiffication and correlation with neural recordings

 

Collaborations

I am always interested in collaborations with other reseachers especially in these areas:

  • GPU and CPU parallelization methods for online data processing
  • machine learning tools for improved data-processing
  • cortical network models and simulated voltage and optical recording┬ádatasets
  • simultaneous ephys and ophys recordings in freely moving animals

 

Thanks for visiting.