Hierarchical processing of complex motion

I’m thrilled to announce that our paper, Hierarchical processing of complex motion along the dorsal visual pathway, has been published in PNAS. In this work, we looked at the response properties of neurons in area MST (the medial superior temporal area). MST neurons are part of the dorsal visual pathway; they are strongly selective for … More Hierarchical processing of complex motion

GLMs and Hidden Markov models for single neurons

I posted recently about modeling neurons with continuous state-space dynamics. It’s also possible to model neurons with Hidden Markov models (HMMs), which are state-space models with discrete rather than continuous states. In this post I’m going to focus on the application of HMMs to single neuron data. Single neurons with simple states Suppose that a … More GLMs and Hidden Markov models for single neurons

State-space GLMs for neural data: a simple example

State space methods are a very broad class of methods to analyze temporal data. At its most basic, you assume that your temporal data is generated by a model with underlying parameters. The parameters are time-varying, and usually it’s assumed that the temporal variation is generated through Markovian dynamics. That is, at every time-step, the … More State-space GLMs for neural data: a simple example

Removing line noise from LFPs, wideband signals

…Trail of papers had a recent post on standard analyses in neuroscience, which reminded me that I’ve meaning to post about signal preprocessing for a while now. If there’s too much line noise (electrical noise at multiples of 60Hz in North America and 50Hz in Europe) in a signal, this will render the signal unusable. … More Removing line noise from LFPs, wideband signals

Using the SVD to estimate receptive fields

Spatio-temporal receptive fields can be hard to visualize. They can also be quite noisy. Thus, it’s desirable to find a low-dimensional approximation to the RF that is both easier to visualize and less noisy. The SVD is frequently used in neurophysiology for this purpose. Reading the Wikipedia page on the SVD, you might have trouble … More Using the SVD to estimate receptive fields