From Art to Engineering? The Rise of In Vivo Mammalian Electrophysiology via Genetically Targeted Labeling and Nonlinear Imaging

Kleinfeld, David; Griesbeck, Oliver

doi:10.1371/journal.pbio.0030355

Cited by 23 publications

(16 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hence, affirmation of the concept of dynamic functional architectures underwritten by ongoing activity may require an extension of Van Essen's criteria. Perhaps with the assistance of novel genetic approaches [74], [75], detailed in vivo exploration can permit the incorporation of mechanisms of both static and dynamic functional architectures that define association cortical areas and ultimately support complex cognitive function.…”

Section: Discussionmentioning

confidence: 99%

A Functional Architecture of Optic Flow in the Inferior Parietal Lobule of the Behaving Monkey

Raffi

Siegel

2007

PLoS ONE

View full text Add to dashboard Cite

The representation of navigational optic flow across the inferior parietal lobule was assessed using optical imaging of intrinsic signals in behaving monkeys. The exposed cortex, corresponding to the dorsal-most portion of areas 7a and dorsal prelunate (DP), was imaged in two hemispheres of two rhesus monkeys. The monkeys actively attended to changes in motion stimuli while fixating. Radial expansion and contraction, and rotation clockwise and counter-clockwise optic flow stimuli were presented concentric to the fixation point at two angles of gaze to assess the interrelationship between the eye position and optic flow signal. The cortical response depended upon the type of flow and was modulated by eye position. The optic flow selectivity was embedded in a patchy architecture within the gain field architecture. All four optic flow stimuli tested were represented in areas 7a and DP. The location of the patches varied across days. However the spatial periodicity of the patches remained constant across days at ∼950 and 1100 µm for the two animals examined. These optical recordings agree with previous electrophysiological studies of area 7a, and provide new evidence for flow selectivity in DP and a fine scale description of its cortical topography. That the functional architectures for optic flow can change over time was unexpected. These and earlier results also from inferior parietal lobule support the inclusion of both static and dynamic functional architectures that define association cortical areas and ultimately support complex cognitive function.

show abstract

Section: Discussionmentioning

confidence: 99%

A Functional Architecture of Optic Flow in the Inferior Parietal Lobule of the Behaving Monkey

Raffi

Siegel

2007

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…The rapid development of fluorescent genetic probes [for review, see Miesenböck and Kevrekidis (2005) and Kleinfeld and Griesbeck (2005)] might soon allow routine recordings of activity in intact neural circuits and long-term studies in intact and behaving animals. Moreover, genetic probes promise to overcome the spatial limitations of electrode recordings by monitoring large ensembles of functionally related neurons (Fiala et al, 2002;Ng et al, 2002;Higashijima et al, 2003;Wang et al, 2003) as well as small subcellular compartments .…”

Section: Introductionmentioning

confidence: 99%

Fluorescence Changes of Genetic Calcium Indicators and OGB-1 Correlated with Neural Activity and CalciumIn VivoandIn Vitro

et al. 2008

View full text Add to dashboard Cite

“…Despite these caveats, we are optimistic that continuing advances that extend these approaches will become part of the standard canon of electrophysiology as recording techniques progress. But the application of spiking models is still an art form and, like much of electrophysiology (Kleinfeld and Griesbeck, 2005), is not yet an industrial process. Fortitudine vincimus .…”

Section: Resultsmentioning

confidence: 99%

Analysis of Neuronal Spike Trains, Deconstructed

Aljadeff

Lansdell

Fairhall

et al. 2016

Neuron

Self Cite

View full text Add to dashboard Cite

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 tractable goals of quantitative neuroscience is to develop predictive models that relate the sensory or motor streams with neuronal firing. Here we review and contrast analytical tools used to accomplish this task. We focus on classes of models in which the external variable is compared with one or more feature vectors to extract a low-dimensional representation, the history of spiking and other variables are potentially incorporated, and these factors are nonlinearly transformed to predict the occurrences of spikes. We illustrate these techniques in application to datasets of different degrees of complexity. In particular, we address the fitting of models in the presence of strong correlations in the external variable, as occurs in natural sensory stimuli and in movement. Spectral correlation between predicted and measured spike trains is introduced to contrast the relative success of different methods.

show abstract

From Art to Engineering? The Rise of In Vivo Mammalian Electrophysiology via Genetically Targeted Labeling and Nonlinear Imaging

Abstract: A convergence of technical advancements in neuroscience has begun to transform mammalian electrophysiology from an art into a precise practice.

Cited by 23 publications

References 54 publications

A Functional Architecture of Optic Flow in the Inferior Parietal Lobule of the Behaving Monkey

A Functional Architecture of Optic Flow in the Inferior Parietal Lobule of the Behaving Monkey

Fluorescence Changes of Genetic Calcium Indicators and OGB-1 Correlated with Neural Activity and CalciumIn VivoandIn Vitro

Analysis of Neuronal Spike Trains, Deconstructed

Contact Info

Product

Resources

About