Marius Pachitariu
University College London
Gower Street
London WC1E 6BT, UK
Email: marius10p [at] gmail [dot] com
About me
I will start a laboratory at HHMI Janelia in Fall, 2017!
I am now still at UCL, a postdoctoral researcher with Kenneth Harris and Matteo Carandini. I specialize in large-scale neural recordings,
and have built [Kilosort] and [Suite2p], state-of-the-art processing pipelines for spike sorting and Calcium imaging. I do my own experiments
and have figured out a way to record ~10,000 cells with standard two-photon microscopy, which I use to study the structure and function of the neural manifold of responses
in the primary visual cortex of mice.
For an updated list of publications please see my [CV] or my [google scholar].
At Gatsby, I have worked with Maneesh Sahani
on probabilistic models of sequential data (video, text and spike trains)
based on recurrent neural networks. I had previously completed a
mathematics undergraduate degree at Princeton University.
Research interests (*not updated*)
- recurrent neural networks
- natural scene/video statistics
- statistical models of spike trains and decoding for BCI
- statistical language modelling
Talks (*not updated*)
Learning visual motion in recurrent neural networks
Redwoood Center for Theoretical Neuroscience, Berkeley University
[video]
[slides]
Publications (*not updated*)
Recurrent linear models of simultaneously-recorded neural populations
Marius Pachitariu, Biljana Petreska and Maneesh Sahani
Advances in Neural Information Processing Systems 26 (NIPS 2013)
[pdf]
[supplemental]
Extracting regions of interest from biological images with convolutional sparse block coding
Marius Pachitariu, Adam Packer, Noah Pettitt, Henry Dagleish, Michael Hausser and Maneesh Sahani
Advances in Neural Information Processing Systems 26 (NIPS 2013)
[pdf]
[supplemental]
Regularization and nonlinearities for neural language models: when are they needed?
Marius Pachitariu and Maneesh Sahani
arXiv:1301.5650 2013
[pdf]
Generalized recurrent linear models
Marius Pachitariu, Lars Buesing and Maneesh Sahani
Cosyne Abstracts 2013, Salt Lake City USA
[abstract]
Learning visual motion in recurrent neural networks
Marius Pachitariu and Maneesh Sahani
Advances in Neural Information Processing Systems 25 (NIPS 2012)
[pdf]
[poster]
Linear leaky integrate-and-fire model for gamma distributions of interspike intervals
Marius Pachitariu, Joseph K Jun, Jeffrey C Erlich, Bingni W Brunton and Carlos D Brody
Cosyne Abstracts 2011, Salt Lake City USA
[abstract]
[poster]
Spike train statistics
Marius Pachitariu
Princeton senior thesis
[pdf]