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Recurrent linear models of simultaneously-recorded neural populations.

Pachitariu M, Petreska B, Sahani M. 2013. Recurrent linear models of simultaneously-recorded neural populations.. Neural Information Processing Systems (NIPS 2013).

Extracting regions of interest from biological images with convolutional sparse block coding.

Pachitariu M, Packer AM, Pettit N, Dalgleish H, Häusser M, Sahani M. 2013. Extracting regions of interest from biological images with convolutional sparse block coding.. Neural Information Processing Systems (NIPS 2013).

Fast and accurate spike sorting of high-channel count probes with KiloSort.

Pachitariu M, Steinmetz NA, Kadir SN, Carandini M, Harris KD. 2016. Fast and accurate spike sorting of high-channel count probes with KiloSort.. Neural Information Processing Systems (NIPS 2016).

State-dependent population coding in primary auditory cortex.

Pachitariu M, Lyamzin DR, Sahani M, Lesica NA. 2015. State-dependent population coding in primary auditory cortex.. The Journal of Neuroscience : the official journal of the Society for Neuroscience. 35(5):2058-73.

Learning enhances sensory and multiple non-sensory representations in primary visual cortex.

Poort J, Khan AG, Pachitariu M, Nemri A, Orsolic I, Krupic J, Bauza M, Sahani M, Keller GB, Mrsic-Flogel TD et al.. 2015. Learning enhances sensory and multiple non-sensory representations in primary visual cortex.. Neuron. 86(6):1478-90.

Pachitariu Lab - Lab Members

Submitted by sonil on Mon, 2017-10-02 11:11

Cohesin can remain associated with chromosomes during DNA replication.

Rhodes JDP, Haarhuis JHI, Grimm JB, Rowland BD, Lavis LD, Nasmyth KA. 2017. Cohesin can remain associated with chromosomes during DNA replication.. Cell Reports. 20(12):2749-55.

Simulating extracted connectomes.

Gornet J, Scheffer LK. 2017. Simulating extracted connectomes.. bioRxiv.

Large scale image segmentation with structured loss based deep learning for connectome reconstruction.

Funke J, Tschopp FD, Grisaitis W, Sheridan A, Singh C, Saalfeld S, Turaga SC. 2019. Large scale image segmentation with structured loss based deep learning for connectome reconstruction.. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(7):1669-80.

Article published as a preprint on September 9, 2017 in arXiv (https://arxiv.org/abs/1709.02974.)

Fast amortized inference of neural activity from calcium imaging data with variational autoencoders.

Speiser A, Yan J, Archer E, Buesing L, Turaga SC, Macke JH. 2017. Fast amortized inference of neural activity from calcium imaging data with variational autoencoders.. Neural Information Processing Systems (NIPS 2017).