Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit

no code implementations • NeurIPS 2017 • Laurence Aitchison, Lloyd Russell, Adam M. Packer, Jinyao Yan, Philippe Castonguay, Michael Hausser, Srinivas C. Turaga

Population activity measurement by calcium imaging can be combined with cellular resolution optogenetic activity perturbations to enable the mapping of neural connectivity in vivo.

Bayesian Inference

Inferring neural population dynamics from multiple partial recordings of the same neural circuit

no code implementations • NeurIPS 2013 • Srini Turaga, Lars Buesing, Adam M. Packer, Henry Dalgleish, Noah Pettit, Michael Hausser, Jakob H. Macke

Simultaneous recordings of the activity of large neural populations are extremely valuable as they can be used to infer the dynamics and interactions of neurons in a local circuit, shedding light on the computations performed.

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

no code implementations • NeurIPS 2013 • Marius Pachitariu, Adam M. Packer, Noah Pettit, Henry Dalgleish, Michael Hausser, Maneesh Sahani

We perform extensive experiments on simulated images and the inference algorithm consistently recovers a large proportion of the cells with a small number of false positives.