Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Jack Waters is active.

Publication


Featured researches published by Jack Waters.


eLife | 2017

An extended retinotopic map of mouse cortex.

Jun Zhuang; Lydia Ng; Derric Williams; Matthew Valley; Yang Li; Marina Garrett; Jack Waters

Visual perception and behavior are mediated by cortical areas that have been distinguished using architectonic and retinotopic criteria. We employed fluorescence imaging and GCaMP6 reporter mice to generate retinotopic maps, revealing additional regions of retinotopic organization that extend into barrel and retrosplenial cortices. Aligning retinotopic maps to architectonic borders, we found a mismatch in border location, indicating that architectonic borders are not aligned with the retinotopic transition at the vertical meridian. We also assessed the representation of visual space within each region, finding that four visual areas bordering V1 (LM, P, PM and RL) display complementary representations, with overlap primarily at the central hemifield. Our results extend our understanding of the organization of mouse cortex to include up to 16 distinct retinotopically organized regions. DOI: http://dx.doi.org/10.7554/eLife.18372.001


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.


Cell | 2018

A Suite of Transgenic Driver and Reporter Mouse Lines with Enhanced Brain-Cell-Type Targeting and Functionality

Tanya L. Daigle; Linda Madisen; Travis A Hage; Matthew Valley; Ulf Knoblich; Rylan S. Larsen; Marc Takeno; Lawrence Huang; Hong Gu; Rachael Larsen; Maya Mills; Alice Bosma-Moody; La’ Akea Siverts; Miranda Walker; Lucas T. Graybuck; Zizhen Yao; Olivia Fong; Thuc Nghi Nguyen; Emma Garren; Garreck H. Lenz; Mariya Chavarha; Julie Pendergraft; James Harrington; Karla E. Hirokawa; Julie A. Harris; Philip R. Nicovich; Medea McGraw; Douglas R. Ollerenshaw; Kimberly A. Smith; Christopher A Baker

Modern genetic approaches are powerful in providing access to diverse cell types in the brain and facilitating the study of their function. Here, we report a large set of driver and reporter transgenic mouse lines, including 23 new driver lines targeting a variety of cortical and subcortical cell populations and 26 new reporter lines expressing an array of molecular tools. In particular, we describe the TIGRE2.0 transgenic platform and introduce Cre-dependent reporter lines that enable optical physiology, optogenetics, and sparse labeling of genetically defined cell populations. TIGRE2.0 reporters broke the barrier in transgene expression level of single-copy targeted-insertion transgenesis in a wide range of neuronal types, along with additional advantage of a simplified breeding strategy compared to our first-generation TIGRE lines. These novel transgenic lines greatly expand the repertoire of high-precision genetic tools available to effectively identify, monitor, and manipulate distinct cell types in the mouse brain.


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.


Frontiers in Neural Circuits | 2018

Neuromodulatory Correlates of Pupil Dilation

Rylan S. Larsen; Jack Waters

Pupillometry has long been used as a measure of brain state. Changes in pupil diameter are thought to coincide with the activity of neuromodulators, including noradrenaline and acetylcholine, producing alterations in the brain state and corresponding changes in behavior. Here we review mechanisms underlying the control of pupil diameter and how these mechanisms are correlated with changes in cortical activity and the recruitment of neuromodulatory circuits.


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.


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

Biological variation in the sizes, shapes and locations of visual cortical areas in the mouse

Jack Waters; Eric Lee; Nathalie Gaudreault; Fiona Griffin; Jerome Lecoq; Cliff Slaughterbeck; David Sullivan; Colin Farrell; Jed Perkins; David Reid; David Feng; Nile Graddis; Marina Garrett; Yang Li; Fuhui Long; Chris Mochizuki; Kate Roll; Jun Zhuang; Carol L. Thompson

Visual cortex is organized into discrete sub-regions or areas that are arranged into a hierarchy and serve different functions in the processing of visual information. In our previous work, we noted that retinotopic maps of cortical visual areas differed between mice, but did not quantify these differences or determine the relative contributions of biological variation and measurement noise. Here we quantify the biological variation in the size, shape and locations of 11 visual areas in the mouse. We find that there is substantial biological variation in the sizes of visual areas, with some visual areas varying in size by two-fold across the population of mice.

Collaboration


Dive into the Jack Waters's collaboration.

Top Co-Authors

Avatar

Matthew Valley

Allen Institute for Brain Science

View shared research outputs
Top Co-Authors

Avatar

Shawn Olsen

Allen Institute for Brain Science

View shared research outputs
Top Co-Authors

Avatar

Jerome Lecoq

Allen Institute for Brain Science

View shared research outputs
Top Co-Authors

Avatar

Jun Zhuang

Allen Institute for Brain Science

View shared research outputs
Top Co-Authors

Avatar

Marina Garrett

Allen Institute for Brain Science

View shared research outputs
Top Co-Authors

Avatar

Peter Groblewski

Allen Institute for Brain Science

View shared research outputs
Top Co-Authors

Avatar

Saskia de Vries

Allen Institute for Brain Science

View shared research outputs
Top Co-Authors

Avatar

Carol L. Thompson

Allen Institute for Brain Science

View shared research outputs
Top Co-Authors

Avatar

David Feng

Allen Institute for Brain Science

View shared research outputs
Top Co-Authors

Avatar

Derric Williams

Allen Institute for Brain Science

View shared research outputs
Researchain Logo
Decentralizing Knowledge