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Dive into the research topics where Shawn Olsen is active.

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Featured researches published by Shawn Olsen.


Neuron | 2015

Neurodata Without Borders: Creating a Common Data Format for Neurophysiology

Jeffery L. Teeters; Keith Godfrey; Rob Young; Chinh Dang; Claudia Friedsam; Barry Wark; Hiroki Asari; Simon Peron; Nuo Li; Adrien Peyrache; Gennady Denisov; Joshua H. Siegle; Shawn Olsen; Christopher Martin; Miyoung Chun; Shreejoy J. Tripathy; Timothy J. Blanche; Kenneth D. Harris; György Buzsáki; Christof Koch; Markus Meister; Karel Svoboda; Friedrich T. Sommer

The Neurodata Without Borders (NWB) initiative promotes data standardization in neuroscience to increase research reproducibility and opportunities. In the first NWB pilot project, neurophysiologists and software developers produced a common data format for recordings and metadata of cellular electrophysiology and optical imaging experiments. The format specification, application programming interfaces, and sample datasets have been released.


Proceedings of the National Academy of Sciences of the United States of America | 2016

Inferring cortical function in the mouse visual system through large-scale systems neuroscience

Michael Hawrylycz; Costas A. Anastassiou; Anton Arkhipov; Jim Berg; Michael Buice; Nicholas Cain; Nathan W. Gouwens; Sergey L. Gratiy; Ramakrishnan Iyer; Jung Hoon Lee; Stefan Mihalas; Catalin Mitelut; Shawn Olsen; R. Clay Reid; Corinne Teeter; Saskia de Vries; Jack Waters; Hongkui Zeng; Christof Koch; MindScope

The scientific mission of the Project MindScope is to understand neocortex, the part of the mammalian brain that gives rise to perception, memory, intelligence, and consciousness. We seek to quantitatively evaluate the hypothesis that neocortex is a relatively homogeneous tissue, with smaller functional modules that perform a common computational function replicated across regions. We here focus on the mouse as a mammalian model organism with genetics, physiology, and behavior that can be readily studied and manipulated in the laboratory. We seek to describe the operation of cortical circuitry at the computational level by comprehensively cataloging and characterizing its cellular building blocks along with their dynamics and their cell type-specific connectivities. The project is also building large-scale experimental platforms (i.e., brain observatories) to record the activity of large populations of cortical neurons in behaving mice subject to visual stimuli. A primary goal is to understand the series of operations from visual input in the retina to behavior by observing and modeling the physical transformations of signals in the corticothalamic system. We here focus on the contribution that computer modeling and theory make to this long-term effort.


bioRxiv | 2017

Aberrant Cortical Activity in Multiple GCaMP6-Expressing Transgenic Mouse Lines

Nicholas A. Steinmetz; Christina Buetfering; Jerome Lecoq; Christian R. Lee; Andrew J. Peters; Elina A.K. Jacobs; Philip Coen; Douglas R. Ollerenshaw; Matthew Valley; Saskia de Vries; Marina Garrett; Jun Zhuang; Peter Groblewski; Sahar Manavi; Jesse Miles; Casey White; Eric Lee; Fiona Griffin; Joshua D. Larkin; Kate Roll; Sissy Cross; Thuyanh V. Nguyen; Rachael Larsen; Julie Pendergraft; Tanya L. Daigle; Bosiljka Tasic; Carol L. Thompson; Jack Waters; Shawn Olsen; David J. Margolis

Abstract Transgenic mouse lines are invaluable tools for neuroscience but, as with any technique, care must be taken to ensure that the tool itself does not unduly affect the system under study. Here we report aberrant electrical activity, similar to interictal spikes, and accompanying fluorescence events in some genotypes of transgenic mice expressing GCaMP6 genetically encoded calcium sensors. These epileptiform events have been observed particularly, but not exclusively, in mice with Emx1-Cre and Ai93 transgenes, of either sex, across multiple laboratories. The events occur at >0.1 Hz, are very large in amplitude (>1.0 mV local field potentials, >10% df/f widefield imaging signals), and typically cover large regions of cortex. Many properties of neuronal responses and behavior seem normal despite these events, although rare subjects exhibit overt generalized seizures. The underlying mechanisms of this phenomenon remain unclear, but we speculate about possible causes on the basis of diverse observations. We encourage researchers to be aware of these activity patterns while interpreting neuronal recordings from affected mouse lines and when considering which lines to study.


PLOS ONE | 2016

Characterization of Channelrhodopsin and Archaerhodopsin in Cholinergic Neurons of Cre-Lox Transgenic Mice

Tristan Hedrick; Bethanny Danskin; Rylan S. Larsen; Doug Ollerenshaw; Peter Groblewski; Matthew Valley; Shawn Olsen; Jack Waters

The study of cholinergic signaling in the mammalian CNS has been greatly facilitated by the advent of mouse lines that permit the expression of reporter proteins, such as opsins, in cholinergic neurons. However, the expression of opsins could potentially perturb the physiology of opsin-expressing cholinergic neurons or mouse behavior. Indeed, the published literature includes examples of cellular and behavioral perturbations in preparations designed to drive expression of opsins in cholinergic neurons. Here we investigate expression of opsins, cellular physiology of cholinergic neurons and behavior in two mouse lines, in which channelrhodopsin-2 (ChR2) and archaerhodopsin (Arch) are expressed in cholinergic neurons using the Cre-lox system. The two mouse lines were generated by crossing ChAT-Cre mice with Cre-dependent reporter lines Ai32(ChR2-YFP) and Ai35(Arch-GFP). In most mice from these crosses, we observed expression of ChR2 and Arch in only cholinergic neurons in the basal forebrain and in other putative cholinergic neurons in the forebrain. In small numbers of mice, off-target expression occurred, in which fluorescence did not appear limited to cholinergic neurons. Whole-cell recordings from fluorescently-labeled basal forebrain neurons revealed that both proteins were functional, driving depolarization (ChR2) or hyperpolarization (Arch) upon illumination, with little effect on passive membrane properties, spiking pattern or spike waveform. Finally, performance on a behavioral discrimination task was comparable to that of wild-type mice. Our results indicate that ChAT-Cre x reporter line crosses provide a simple, effective resource for driving indicator and opsin expression in cholinergic neurons with few adverse consequences and are therefore an valuable resource for studying the cholinergic system.


bioRxiv | 2018

A large-scale, standardized physiological survey reveals higher order coding throughout the mouse visual cortex

Saskia de Vries; Jerome Lecoq; Michael Buice; Peter Groblewski; Gabriel Koch Ocker; Michael Oliver; David Feng; Nicholas Cain; Peter Ledochowitsch; Daniel Millman; Kate Roll; Marina Garrett; Tom Keenan; Leonard Kuan; Stefan Mihalas; Shawn Olsen; Carol L. Thompson; Wayne Wakeman; Jack Waters; Derric Williams; Chris Barber; Nathan Berbesque; Brandon Blanchard; Nicholas Bowles; Shiella Caldejon; Linzy Casal; Andrew Cho; Sissy Cross; Chinh Dang; Tim Dolbeare

To understand how the brain processes sensory information to guide behavior, we must know how stimulus representations are transformed throughout the visual cortex. Here we report an open, large-scale physiological survey of neural activity in the awake mouse visual cortex: the Allen Brain Observatory Visual Coding dataset. This publicly available dataset includes cortical activity from nearly 60,000 neurons collected from 6 visual areas, 4 layers, and 12 transgenic mouse lines from 221 adult mice, in response to a systematic set of visual stimuli. Using this dataset, we reveal functional differences across these dimensions and show that visual cortical responses are sparse but correlated. Surprisingly, responses to different stimuli are largely independent, e.g. whether a neuron responds to natural scenes provides no information about whether it responds to natural movies or to gratings. We show that these phenomena cannot be explained by standard local filter-based models, but are consistent with multi-layer hierarchical computation, as found in deeper layers of standard convolutional neural networks.


The Journal of Neuroscience | 2017

New Breakthroughs in Understanding the Role of Functional Interactions between the Neocortex and the Claustrum

Solange P. Brown; Brian N. Mathur; Shawn Olsen; Pierre-Hervé Luppi; Martha E. Bickford

Almost all areas of the neocortex are connected with the claustrum, a nucleus located between the neocortex and the striatum, yet the functions of corticoclaustral and claustrocortical connections remain largely obscure. As major efforts to model the neocortex are currently underway, it has become increasingly important to incorporate the corticoclaustral system into theories of cortical function. This Mini-Symposium was motivated by a series of recent studies which have sparked new hypotheses regarding the function of claustral circuits. Anatomical, ultrastructural, and functional studies indicate that the claustrum is most highly interconnected with prefrontal cortex, suggesting important roles in higher cognitive processing, and that the organization of the corticoclaustral system is distinct from the driver/modulator framework often used to describe the corticothalamic system. Recent findings supporting roles in detecting novel sensory stimuli, directing attention and setting behavioral states, were the subject of the Mini-Symposium at the 2017 Society for Neuroscience Annual Meeting.


eLife | 2018

Mouse color and wavelength-specific luminance contrast sensitivity are non-uniform across visual space

Daniel J. Denman; Jennifer Luviano; Douglas R. Ollerenshaw; Sissy Cross; Derric Williams; Michael Buice; Shawn Olsen; R. Clay Reid

Mammalian visual behaviors, as well as responses in the neural systems underlying these behaviors, are driven by luminance and color contrast. With constantly improving tools for measuring activity in cell-type-specific populations in the mouse during visual behavior, it is important to define the extent of luminance and color information that is behaviorally accessible to the mouse. A non-uniform distribution of cone opsins in the mouse retina potentially complicates both luminance and color sensitivity; opposing gradients of short (UV-shifted) and middle (blue/green) cone opsins suggest that color discrimination and wavelength-specific luminance contrast sensitivity may differ with retinotopic location. Here we ask how well mice can discriminate color and wavelength-specific luminance changes across visuotopic space. We found that mice were able to discriminate color and were able to do so more broadly across visuotopic space than expected from the cone-opsin distribution. We also found wavelength-band-specific differences in luminance sensitivity.


bioRxiv | 2018

Visual physiology of the Layer 4 cortical circuit in silico

Anton Arkhipov; Nathan W. Gouwens; Yazan N. Billeh; Sergey L. Gratiy; Ramakrishnan Iyer; Ziqiang Wei; Zihao Xu; Jim Berg; Michael Buice; Nicholas Cain; Nuno Maçarico da Costa; Saskia de Vries; Daniel J. Denman; Severine Durand; David Feng; Tim Jarsky; Jerome Lecoq; Brian R. Lee; Lu Li; Stefan Mihalas; Gabriel Koch Ocker; Shawn Olsen; R. Clay Reid; Gilberto Soler-Llavina; Staci A. Sorensen; Quanxin Wang; Jack Waters; Massimo Scanziani; Christof Koch

Despite advances in experimental techniques and accumulation of large datasets concerning the composition and properties of the cortex, quantitative modeling of cortical circuits under in-vivo-like conditions remains challenging. Here we report and publicly release a biophysically detailed circuit model of layer 4 in the mouse primary visual cortex, receiving thalamo-cortical visual inputs. The 45,000-neuron model was subjected to a battery of visual stimuli, and results were compared to published work and new in vivo experiments. Simulations reproduced a variety of observations, including effects of optogenetic perturbations. Critical to the agreement between responses in silico and in vivo were the rules of functional synaptic connectivity between neurons. Interestingly, after extreme simplification the model still performed satisfactorily on many measurements, although quantitative agreement with experiments suffered. These results emphasize the importance of functional rules of cortical wiring and enable a next generation of data-driven models of in vivo neural activity and computations. AUTHOR SUMMARY How can we capture the incredible complexity of brain circuits in quantitative models, and what can such models teach us about mechanisms underlying brain activity? To answer these questions, we set out to build extensive, bio-realistic models of brain circuitry employing systematic datasets on brain structure and function. Here we report the first modeling results of this project, focusing on the layer 4 of the primary visual cortex (V1) of the mouse. Our simulations reproduced a variety of experimental observations in a large battery of visual stimuli. The results elucidated circuit mechanisms determining patters of neuronal activity in layer 4 – in particular, the roles of feedforward thalamic inputs and specific patterns of intracortical connectivity in producing tuning of neuronal responses to the orientation of motion. Simplification of neuronal models led to specific deficiencies in reproducing experimental data, giving insights into how biological details contribute to various aspects of brain activity. To enable future development of more sophisticated models, we make the software code, the model, and simulation results publicly available.


PLOS ONE | 2015

Optogenetics in Mice Performing a Visual Discrimination Task: Measurement and Suppression of Retinal Activation and the Resulting Behavioral Artifact

Bethanny Danskin; Daniel J. Denman; Matthew Valley; Douglas R. Ollerenshaw; Derric Williams; Peter Groblewski; Clay Reid; Shawn Olsen; Jack Waters

Optogenetic techniques are used widely to perturb and interrogate neural circuits in behaving animals, but illumination can have additional effects, such as the activation of endogenous opsins in the retina. We found that illumination, delivered deep into the brain via an optical fiber, evoked a behavioral artifact in mice performing a visually guided discrimination task. Compared with blue (473 nm) and yellow (589 nm) illumination, red (640 nm) illumination evoked a greater behavioral artifact and more activity in the retina, the latter measured with electrical recordings. In the mouse, the sensitivity of retinal opsins declines steeply with wavelength across the visible spectrum, but propagation of light through brain tissue increases with wavelength. Our results suggest that poor retinal sensitivity to red light was overcome by relatively robust propagation of red light through brain tissue and stronger illumination of the retina by red than by blue or yellow light. Light adaptation of the retina, via an external source of illumination, suppressed retinal activation and the behavioral artifact without otherwise impacting behavioral performance. In summary, long wavelength optogenetic stimuli are particularly prone to evoke behavioral artifacts via activation of retinal opsins in the mouse, but light adaptation of the retina can provide a simple and effective mitigation of the artifact.


bioRxiv | 2018

Distinct higher-order thalamic circuits channel parallel streams of visual information in mice

Corbett Bennett; Samuel D Gale; Marina Garrett; Melissa L Newton; Edward M. Callaway; Gabe Murphy; Shawn Olsen

Higher-order thalamic nuclei, such as the visual pulvinar, play essential roles in shaping cortical dynamics and connecting functionally-related cortical and subcortical brain regions. A coherent framework describing pulvinar function remains elusive due to its anatomical complexity, involvement in diverse cognitive processes, and the limited experimental tools available in many species. We combined large-scale anatomical circuit mapping with high-density electrophysiological recordings to dissect a homolog of pulvinar in mice, the lateral posterior nucleus (LP). We define three LP subregions based on correspondence between connectivity and functional properties. These subregions form parallel corticothalamic loops and contain separate representations of visual space. Silencing visual cortex or the superior colliculus revealed that these input sources drive activity and shape visual tuning in separate LP subregions. By specifying the information carried by distinct circuits through LP and identifying their downstream targets, our data provide a roadmap for understanding pulvinar function in visual processing and behavior.

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Jack Waters

Allen Institute for Brain Science

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Christof Koch

Allen Institute for Brain Science

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Daniel J. Denman

Allen Institute for Brain Science

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Michael Buice

Allen Institute for Brain Science

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Peter Groblewski

Allen Institute for Brain Science

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Saskia de Vries

Allen Institute for Brain Science

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Derric Williams

Allen Institute for Brain Science

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Douglas R. Ollerenshaw

Allen Institute for Brain Science

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Jerome Lecoq

Allen Institute for Brain Science

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Marina Garrett

Allen Institute for Brain Science

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