activity
20072021
most citedStrong and weak principles of neural dimension reduction

31 citations · 59 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.NC2021

Making decisions in the dark basement of the brain: A look back at the GPR model of action selection and the basal ganglia

Mark D. Humphries, Kevin Gurney

How does your brain decide what you will do next? Over the past few decades compelling evidence has emerged that the basal ganglia, a collection of nuclei in the fore- and mid-brai…

q-bio.NC2020★ 31 cited

Strong and weak principles of neural dimension reduction

Mark D Humphries

If spikes are the medium, what is the message? Answering that question is driving the development of large-scale, single neuron resolution recordings from behaving animals, on the…

cs.SI2019

Spectral estimation for detecting low-dimensional structure in networks using arbitrary null models

Mark D. Humphries, Javier A. Caballero, Mat Evans +2

Discovering low-dimensional structure in real-world networks requires a suitable null model that defines the absence of meaningful structure. Here we introduce a spectral approach…

physics.soc-ph2015★ 27 cited

Finding communities in sparse networks

Abhinav Singh, Mark Humphries

Spectral algorithms based on matrix representations of networks are often used to detect communities but classic spectral methods based on the adjacency matrix and its variants fai…

q-bio.NC2007★ 1 cited

High level modeling of tonic dopamine mechanisms in striatal neurons

M. D. Humphries

The extant versions of many basal ganglia models use a `gating' model of dopamine function which enhances input to D1 receptor units and attenuates input to D2 receptor units. Ther…