Results 31 to 40 of about 253,542 (265)
Self-Motion and the Hippocampal Spatial Metric [PDF]
The Journal of Neuroscience, 2005 Self-motion signals are sufficient for animal navigation (“path integration”) and for updating hippocampal location-specific firing. The contributions of ambulatory, vestibular, and optic self-motion signals to CA1 unit activity and EEG were studied while rats either walked or drove a car between locations on a circular track (referred to as WALK and ...
Alejandro, Terrazas +5 more
openaire +2 more sources
The A-Effect and Global Motion
Vision, 2019 When the head is tilted, an objectively vertical line viewed in isolation is typically perceived as tilted. We explored whether this shift also occurs when viewing global motion displays perceived as either object-motion or self-motion.
Pearl S. Guterman, Robert S. Allison
doaj +1 more source
Frontiers in Psychology, 2023 IntroductionThe ability to accurately encode events’ duration is of critical importance for almost all everyday activities, yet numerous factors have been reported to robustly distort time perception.
Irene Petrizzo +4 more
doaj +1 more source
Step frequency and perceived self-motion [PDF]
ACM Transactions on Applied Perception, 2007 There is a discrepancy between the ability to correctly match the gains of visual and motor speed in virtual reality (VR) when walking on solid ground and the failure of this ability when walking on a treadmill. Moreover, this discrepancy has been found to interact with effects of the structure of the visual environment.
Frank H. Durgin +2 more
openaire +2 more sources
Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
FEBS Letters, EarlyView.Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
wiley +1 more source
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Frontiers in Neuroscience, 2022 Previous studies have shown that space perception around the body is altered by self-motion, and that several self-motion cues from different modalities, including vision, proprioception, the vestibular system, and the motor system (motor commands ...
Naoki Kuroda +3 more
doaj +1 more source
Self-motion and the perception of stationary objects [PDF]
Nature, 2001 One of the ways that we perceive shape is through seeing motion. Visual motion may be actively generated (for example, in locomotion), or passively observed. In the study of the perception of three-dimensional structure from motion, the non-moving, passive observer in an environment of moving rigid objects has been used as a substitute for an active ...
Wexler, Mark +3 more
openaire +4 more sources
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source