activity
20012016
most citedWeak pairwise correlations imply strongly correlated network states in a neural population

1.8k citations · 2.8k across the 16 of their papers we have counts for

collaborators

17 papers

q-bio.NC2016★ 1 cited

Noise-Robust Modes of the Retinal Population Code have the Geometry of "Ridges" and Correspond with Neuronal Communities

Adrianna R. Loback, Jason S. Prentice, Mark L. Ioffe +1

An appealing new principle for neural population codes is that correlations among neurons organize neural activity patterns into a discrete set of clusters, which can each be viewe…

q-bio.NC2016★ 14 cited

The Structured `Low Temperature' Phase of the Retinal Population Code

Mark L. Ioffe, Michael J. Berry

Recent advances in experimental techniques have allowed the simultaneous recording of populations of hundreds of neurons, allowing more comprehensive investigation into the nature…

q-bio.NC2014★ 74 cited

High accuracy decoding of dynamical motion from a large retinal population

Olivier Marre, Vicente Botella-Soler, Kristina D. Simmons +3

Motion tracking is a challenge the visual system has to solve by reading out the retinal population. Here we recorded a large population of ganglion cells in a dense patch of salam…

q-bio.NC2014

Thermodynamics for a network of neurons: Signatures of criticality

Gasper Tkacik, Thierry Mora, Olivier Marre +3

The activity of a neural network is defined by patterns of spiking and silence from the individual neurons. Because spikes are (relatively) sparse, patterns of activity with increa…

q-bio.NC2013★ 2 cited

High-Fidelity Coding with Correlated Neurons

Rava Azeredo da Silveira, Michael J. Berry

Positive correlations in the activity of neurons are widely observed in the brain. Previous studies have shown these correlations to be detrimental to the fidelity of population co…

q-bio.NC2013★ 4 cited

Predictive information in a sensory population

Stephanie E. Palmer, Olivier Marre, Michael J. Berry +1

Guiding behavior requires the brain to make predictions about future sensory inputs. Here we show that efficient predictive computation starts at the earliest stages of the visual…