Publications by authors named "Andrew M Clark"

Optogenetics has transformed the study of neural circuit function, but limitations in its application to species with large brains, such as non-human primates (NHPs), remain. A major challenge in NHP optogenetics is delivering light to sufficiently large volumes of deep neural tissue with high spatiotemporal precision, without simultaneously affecting superficial tissue. To overcome these limitations, we recently developed and tested in NHP cortex, the Utah Optrode Array (UOA).

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Optogenetics allows the manipulation of neural circuitswith high spatial and temporal precision. However, combining this precision with control over a significant portion of the brain is technologically challenging (especially in larger animal models).Here, we have developed, optimised, and tested, the Utah Optrode Array (UOA), an electrically addressable array of optical needles and interstitial sites illuminated by 181LEDs and used to optogenetically stimulate the brain.

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Optogenetics allows manipulation of neural circuits with high spatial and temporal precision. However, combining this precision with control over a significant portion of the brain is technologically challenging (especially in larger animal models). Here, we have developed, optimised, and tested in vivo, the Utah Optrode Array (UOA), an electrically addressable array of optical needles and interstitial sites illuminated by 181 µLEDs and used to optogenetically stimulate the brain.

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Optogenetics has transformed studies of neural circuit function, but remains challenging to apply to non-human primates (NHPs). A major challenge is delivering intense, spatiotemporally-precise, patterned photostimulation across large volumes in deep tissue. Such stimulation is critical, for example, to modulate selectively deep-layer corticocortical feedback circuits.

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High-resolution vision requires fine retinal sampling followed by integration to recover object properties. Importantly, accuracy is lost if local samples from different objects are intermixed. Thus, segmentation, grouping of image regions for separate processing, is crucial for perception.

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Article Synopsis
  • Optogenetics has transformed neuroscience research in small animals, but its effectiveness in non-human primates (NHPs) has shown mixed results.
  • * A centralized database has been created to help researchers track both successful and unsuccessful optogenetic experiments in primates, with contributions from 45 laboratories worldwide.
  • * The database, available on the Open Science Framework, aims to enhance research by sharing over 1,000 injection experiments and offers insights to improve optogenetic methods in NHPs.*
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Visual perception is affected by spatial context. In visual cortex, neuronal responses to stimuli inside the receptive field (RF) are suppressed by stimuli in the RF surround. To understand the circuits and cortical layers processing spatial context, we simultaneously recorded across all layers of macaque primary visual cortex while presenting stimuli at increasing distances from the recorded cells' RF.

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Predicting and valuing potential rewards requires integrating sensory, associative, and contextual information with subjective reward preferences. Previous work has identified regions in the prefrontal cortex and medial temporal lobe believed to be important for each of these functions. For example, activity in the orbital prefrontal cortex (PFo) encodes the specific sensory properties of and preferences for rewards, while activity in the rhinal cortex (Rh) encodes stimulus-stimulus and stimulus-reward associations.

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Rewards and punishments (reinforcement) powerfully shape behavior. Accordingly, their neuronal representation is of significant interest, both for understanding normal brain-behavior relationships and the pathophysiology of disorders such as depression and addiction. A recent article by Vickery and colleagues (Neuron 72: 166-177, 2011) provides evidence that the neural response to rewards and punishments is surprisingly widespread, suggesting the need for examination of the specific roles of areas not commonly included in the canonical reward circuitry in processing reinforcement.

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In humans and other animals, the vigor with which a reward is pursued depends on its desirability, that is, on the reward's predicted value. Predicted value is generally context-dependent, varying according to the value of rewards obtained in the recent and distant past. Signals related to reward prediction and valuation are believed to be encoded in a circuit centered around midbrain dopamine neurons and their targets in the prefrontal cortex and basal ganglia.

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Neural responses are typically characterized by computing the mean firing rate, but response variability can exist across trials. Many studies have examined the effect of a stimulus on the mean response, but few have examined the effect on response variability. We measured neural variability in 13 extracellularly recorded datasets and one intracellularly recorded dataset from seven areas spanning the four cortical lobes in monkeys and cats.

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