Information processing in living systems

G Tkačik, W Bialek - Annual Review of Condensed Matter …, 2016 - annualreviews.org
Life depends as much on the flow of information as on the flow of energy. Here we review
the many efforts to make this intuition precise. Starting with the building blocks of information …

[PDF][PDF] Analysis of neuronal spike trains, deconstructed

J Aljadeff, BJ Lansdell, AL Fairhall, D Kleinfeld - Neuron, 2016 - cell.com
As information flows through the brain, neuronal firing progresses from encoding the world
as sensed by the animal to driving the motor output of subsequent behavior. One of the more …

Inferring nonlinear neuronal computation based on physiologically plausible inputs

JM McFarland, Y Cui, DA Butts - PLoS computational biology, 2013 - journals.plos.org
The computation represented by a sensory neuron's response to stimuli is constructed from
an array of physiological processes both belonging to that neuron and inherited from its …

Capturing the dynamical repertoire of single neurons with generalized linear models

AI Weber, JW Pillow - Neural computation, 2017 - direct.mit.edu
A key problem in computational neuroscience is to find simple, tractable models that are
nevertheless flexible enough to capture the response properties of real neurons. Here we …

[PDF][PDF] Dimensionality reduction in neuroscience

R Pang, BJ Lansdell, AL Fairhall - Current Biology, 2016 - cell.com
The nervous system extracts information from its environment and distributes and processes
that information to inform and drive behaviour. In this task, the nervous system faces a type …

[PDF][PDF] Neural mechanisms for evaluating environmental variability in Caenorhabditis elegans

AJ Calhoun, A Tong, N Pokala, JAJ Fitzpatrick… - Neuron, 2015 - cell.com
The ability to evaluate variability in the environment is vital for making optimal behavioral
decisions. Here we show that Caenorhabditis elegans evaluates variability in its food …

[HTML][HTML] Models of neuronal stimulus-response functions: elaboration, estimation, and evaluation

AF Meyer, RS Williamson, JF Linden… - Frontiers in systems …, 2017 - frontiersin.org
Rich, dynamic, and dense sensory stimuli are encoded within the nervous system by the
time-varying activity of many individual neurons. A fundamental approach to understanding …

Computational identification of receptive fields

TO Sharpee - Annual review of neuroscience, 2013 - annualreviews.org
Natural stimuli elicit robust responses of neurons throughout sensory pathways, and
therefore their use provides unique opportunities for understanding sensory coding. This …

Central auditory neurons have composite receptive fields

AS Kozlov, TQ Gentner - Proceedings of the National …, 2016 - National Acad Sciences
High-level neurons processing complex, behaviorally relevant signals are sensitive to
conjunctions of features. Characterizing the receptive fields of such neurons is difficult with …

Spike-triggered covariance analysis reveals phenomenological diversity of contrast adaptation in the retina

JK Liu, T Gollisch - PLoS computational biology, 2015 - journals.plos.org
When visual contrast changes, retinal ganglion cells adapt by adjusting their sensitivity as
well as their temporal filtering characteristics. The latter has classically been described by …