Chris Klink

Dr. Chris Klink


Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 February 2017 in Trends in Cognitive Sciences
Verified
Journal Article
Closed access
TCThomas B. Christophel
Thomas B. Christophel
CKChris Klink
Chris Klink
BSBernhard Spitzer
Bernhard Spitzer
PRPieter R. Roelfsema
Pieter R. Roelfsema
JHJohn-Dylan Haynes
John-Dylan Haynes

1 October 2018 in Neuron
Verified
Journal Article
Open access
MMMichael Milham
Michael Milham
LALei Ai
Lei Ai
BKBonhwang Koo
Bonhwang Koo
TXTing Xu
Ting Xu
CACéline Amiez
Céline Amiez
CSCharles E. Schroeder
Charles E. Schroeder
Non-human primate neuroimaging is a rapidly growing area of research that promises to transform and scale translational and cross-species comparative neuroscience. Unfortunately, the technological and methodological advances of the past two decades have outpaced the accrual of data, which is particularly challenging given the relatively few centers that have the necessary facilities and capabilities. The PRIMatE Data Exchange (PRIME-DE) addresses this challenge by aggregating independently acquired non-human primate magnetic resonance imaging (MRI) datasets and openly sharing them via the International Neuroimaging Data-sharing Initiative (INDI). Here, we present the rationale, design, and procedures for the PRIME-DE consortium, as well as the initial release, consisting of 25 independent data collections aggregated across 22 sites (total = 217 non-human primates). We also outline the unique pitfalls and challenges that should be considered in the analysis of non-human primate MRI datasets, including providing automated quality assessment of the contributed datasets.

1 April 2015 in Vision Research
Verified
Journal Article
Open access
JBJ.W. Brascamp
J.W. Brascamp
CKChris Klink
Chris Klink
WLW.J.M. Levelt
W.J.M. Levelt
It has been fifty years since Levelt's monograph On Binocular Rivalry (1965) was published, but its four propositions that describe the relation between stimulus strength and the phenomenology of binocular rivalry remain a benchmark for theorists and experimentalists even today. In this review, we will revisit the original conception of the four propositions and the scientific landscape in which this happened. We will also provide a brief update concerning distributions of dominance durations, another aspect of Levelt's monograph that has maintained a prominent presence in the field. In a critical evaluation of Levelt's propositions against current knowledge of binocular rivalry we will then demonstrate that the original propositions are not completely compatible with what is known today, but that they can, in a straightforward way, be modified to encapsulate the progress that has been made over the past fifty years. The resulting modified, propositions are shown to apply to a broad range of bistable perceptual phenomena, not just binocular rivalry, and they allow important inferences about the underlying neural systems. We argue that these inferences reflect canonical neural properties that play a role in visual perception in general, and we discuss ways in which future research can build on the work reviewed here to attain a better understanding of these properties.

1 July 2017 in Neuron
Verified
Journal Article
Closed access
CKChris Klink
Chris Klink
BDBruno Dagnino
Bruno Dagnino
MGMarie-Alice Gariel-Mathis
Marie-Alice Gariel-Mathis
PRPieter R. Roelfsema
Pieter R. Roelfsema

1 July 2017 in Journal of Neuroscience Methods
Verified
Journal Article
Open access
XCXing Chen
Xing Chen
JPJessy K. Possel
Jessy K. Possel
CWCatherine Wacongne
Catherine Wacongne
AHAnne F. van Ham
Anne F. van Ham
CKChris Klink
Chris Klink
PRPieter R. Roelfsema
Pieter R. Roelfsema
Primate neurobiologists use chronically implanted devices such as pedestals for head stabilization and chambers to gain access to the brain and study its activity. Such implants are skull-mounted, and made from a hard, durable material, such as titanium. Here, we present a low-cost method of creating customized 3D-printed cranial implants that are tailored to the anatomy of individual animals. We performed pre-surgical computed tomography (CT) and magnetic resonance (MR) scans to generate three-dimensional (3D) models of the skull and brain. We then used 3D modelling software to design implantable head posts, chambers, and a pedestal anchorage base, as well as craniotomy guides to aid us during surgery. Prototypes were made from plastic or resin, while implants were 3D-printed in titanium. The implants underwent post-processing and received a coating of osteocompatible material to promote bone integration. Their tailored fit greatly facilitated surgical implantation, and eliminated the gap between the implant and the bone. To date, our implants remain robust and well-integrated with the skull. Commercial-off-the-shelf solutions typically come with a uniform, flat base, preventing them from sitting flush against the curved surface of the skull. This leaves gaps for fluid and tissue ingress, increasing the risk of microbial infection and tissue inflammation, as well as implant loss. The use of 3D printing technology enabled us to quickly and affordably create unique, complex designs, avoiding the constraints levied by traditional production methods, thereby boosting experimental success and improving the wellbeing of the animals.

1 August 2010 in Current Biology
Verified
Journal Article
Closed access
CKChris Klink
Chris Klink
JBJan W. Brascamp
Jan W. Brascamp
RBRandolph Blake
Randolph Blake
RWRichard J.A. van Wezel
Richard J.A. van Wezel