Genetically expressed voltage sensor ArcLight for imaging large scale cortical activity in the anesthetized and awake mouse (erratum)

Borden, Peter Y.; Ortiz, Alex D.; Waiblinger, Christian; Sederberg, Audrey; Morrissette, Arthur E.; Forest, Craig R.; Jaeger, Dieter; Stanley, Garrett B.

doi:10.1117/1.nph.4.3.039801

Cited by 6 publications

(15 citation statements)

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“…Finally, the time resolution is continuously being improved. Indeed, it is now feasible to directly monitor changes in membrane potential at high temporal resolution using voltage-sensing optical probes ( Borden et al, 2017 ). Combined with optogenetic stimulation, all-optical electrophysiology studies have been conducted to study the function and pharmacology of voltage-gated ion channels in cells ( Zhang et al, 2016 ), as well as neuronal activity in ganglia and brain slices derived from transgenic Cre-dependent ‘Optopatch’ mice ( Lou et al, 2016 ).…”

Section: Future Perspectivementioning

confidence: 99%

Image-Based Profiling of Synaptic Connectivity in Primary Neuronal Cell Culture

et al. 2018

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Neurological disorders display a broad spectrum of clinical manifestations. Yet, at the cellular level, virtually all these diseases converge into a common phenotype of dysregulated synaptic connectivity. In dementia, synapse dysfunction precedes neurodegeneration and cognitive impairment by several years, making the synapse a crucial entry point for the development of diagnostic and therapeutic strategies. Whereas high-resolution imaging and biochemical fractionations yield detailed insight into the molecular composition of the synapse, standardized assays are required to quickly gauge synaptic connectivity across large populations of cells under a variety of experimental conditions. Such screening capabilities have now become widely accessible with the advent of high-throughput, high-content microscopy. In this review, we discuss how microscopy-based approaches can be used to extract quantitative information about synaptic connectivity in primary neurons with deep coverage. We elaborate on microscopic readouts that may serve as a proxy for morphofunctional connectivity and we critically analyze their merits and limitations. Finally, we allude to the potential of alternative culture paradigms and integrative approaches to enable comprehensive profiling of synaptic connectivity.

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Section: Future Perspectivementioning

confidence: 99%

Image-Based Profiling of Synaptic Connectivity in Primary Neuronal Cell Culture

et al. 2018

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“…However, the findings also predict that a manipulation of reward probability upon hit trials, an experiment that has not been performed here, would have an impact on task performance if the adaptive behavior were indeed tied to the actual reward as op-posed to the stimulus properties that dictate rewards. Indeed, many studies using paradigms with asymmetric reward contingencies show that animals are highly sensitive to changes in the frequency or probability of reward (Herrnstein, 1961;Reynolds, 1961;Nevin et al, 1975;Balci et al, 2009;Teichert and Ferrera, 2010;. This would open up a set of additional questions in the context of this study that would be important to explore.…”

Section: Metrics Of Behavioral Adaptationmentioning

confidence: 96%

“…This hypothesis is supported by a large body of literature suggesting that behavioral actions are not simply based on current sensory observations, but are often based on a statistically optimal integration of sensory observations and the subjects predic-tions or prior knowledge (Shadmehr et al, 2010). Priors, history biases, and changing stimulus-action associations can partly affect neuronal computations at primary sensory and higher-order cortical levels (Busse et al, 2011;Jaramillo et al, 2014;Akrami et al, 2018;Waiblinger et al, 2018).…”

Section: Decision Theoretical Aspectsmentioning

confidence: 99%

“…In the last decade, there have been major advances toward answering this question by studying perceptual decision making across species and asking how and to what degree neuronal activity reflects behavioral choice and how sensory information is transformed into adaptive action (Romo and Salinas, 2003;Gold and Shadlen, 2007;Nienborg and Cumming, 2009). An important finding is that behavioral performance in psychophysical experiments is often not determined by sensory processes alone but by a wide range of biasing factors, among them prior probabilities, reward payoff, changing stimulus-action associations, and trial history (Busse et al, 2011;Jaramillo et al, 2014;Akrami et al, 2018;Waiblinger et al, 2018), potentially pointing to a complex, dynamic behavioral strategy reliant on a continuous interplay between these factors. Claims about neuronal coding schemes therefore depend crucially on behavioral context and a precise assessment of the observer's active task strategy.…”

Section: Introductionmentioning

confidence: 99%

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Stimulus Context and Reward Contingency Induce Behavioral Adaptation in a Rodent Tactile Detection Task

Waiblinger¹,

Wu²,

Bolus³

et al. 2018

J. Neurosci.

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Behavioral adaptation is a prerequisite for survival in a constantly changing sensory environment, but the underlying strategies and relevant variables driving adaptive behavior are not well understood. Many learning models and neural theories consider probabilistic computations as an efficient way to solve a variety of tasks, especially if uncertainty is involved. Although this suggests a possible role for probabilistic inference and expectation in adaptive behaviors, there is little if any evidence of this relationship experimentally. Here, we investigated adaptive behavior in the rat model by using a well controlled behavioral paradigm within a psychophysical framework to predict and quantify changes in performance of animals trained on a simple whisker-based detection task. The sensory environment of the task was changed by transforming the probabilistic distribution of whisker deflection amplitudes systematically while measuring the animal's detection performance and corresponding rate of accumulated reward. We show that the psychometric function deviates significantly and reversibly depending on the probabilistic distribution of stimuli. This change in performance relates to accumulating a constant reward count across trials, yet it is exempt from changes in reward volume. Our simple model of reward accumulation captures the observed change in psychometric sensitivity and predicts a strategy seeking to maintain reward expectation across trials in the face of the changing stimulus distribution. We conclude that rats are able maintain a constant payoff under changing sensory conditions by flexibly adjusting their behavioral strategy. Our findings suggest the existence of an internal probabilistic model that facilitates behavioral adaptation when sensory demands change.The strategy animals use to deal with a complex and ever-changing world is a key to understanding natural behavior. This study provides evidence that rodent behavioral performance is highly flexible in the face of a changing stimulus distribution, consistent with a strategy to maintain a desired accumulation of reward.

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“…The training stages include gradual learning of a basic detection task and an advanced stage with changing sensory contingencies 16 . To repeatedly measure signals of large neuronal pools across training stages, we performed chronic wide-field imaging of S1 activity with the genetically encoded voltage indicator (GEVI) ‘ArcLight’ 17,18 in behaving mice.…”

Section: Introductionmentioning

confidence: 99%

Emerging experience-dependent dynamics in primary somatosensory cortex reflect behavioral adaptation

Waiblinger

McDonnell

Borden

et al. 2021

Preprint

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Behavioral experience and flexibility are crucial for survival in a constantly changing environment. What are the neuronal processes that selectively transform dynamic sensory information into an appropriate behavioral response, and how do these processes adapt to changes in the environment? Here, we use voltage imaging to measure signals in primary somatosensory cortex (S1) during sensory learning and behavioral adaptation in the mouse. We found that in response to changing sensory stimulus statistics, mice adopt a task strategy that modifies their detection behavior in a context dependent manner as to maintain reward expectation. Correspondingly, neuronal activity in S1 shifts from simply representing stimulus properties to adaptively representing stimulus context in an experience dependent manner. Our results suggest that neuronal signals in S1 are part of an adaptive and dynamic framework that facilitates flexible behavior as an individual gains experience.

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Genetically expressed voltage sensor ArcLight for imaging large scale cortical activity in the anesthetized and awake mouse (erratum)

Abstract: "Genetically expressed voltage sensor ArcLight for imaging large scale cortical activity in the anesthetized and awake mouse (erratum)," Neurophoton. 4(3), 039801 (2017),

Cited by 6 publications

References 0 publications

Image-Based Profiling of Synaptic Connectivity in Primary Neuronal Cell Culture

Image-Based Profiling of Synaptic Connectivity in Primary Neuronal Cell Culture

Stimulus Context and Reward Contingency Induce Behavioral Adaptation in a Rodent Tactile Detection Task

Emerging experience-dependent dynamics in primary somatosensory cortex reflect behavioral adaptation

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