The Occipital Place Area Is Causally Involved in Representing Environmental Boundaries during Navigation  Joshua B. Julian, Jack Ryan, Roy H. Hamilton,

Slides:



Advertisements
Similar presentations
Visual Control of Altitude in Flying Drosophila
Advertisements

Volume 16, Issue 13, Pages (July 2006)
Rapid and Persistent Adaptability of Human Oculomotor Control in Response to Simulated Central Vision Loss  MiYoung Kwon, Anirvan S. Nandy, Bosco S. Tjan 
Hippocampal Attractor Dynamics Predict Memory-Based Decision Making
Backward Masking and Unmasking Across Saccadic Eye Movements
Volume 27, Issue 7, Pages (April 2017)
A Source for Feature-Based Attention in the Prefrontal Cortex
GABAergic Modulation of Visual Gamma and Alpha Oscillations and Its Consequences for Working Memory Performance  Diego Lozano-Soldevilla, Niels ter Huurne,
Sangyu Xu, Gishnu Das, Emily Hueske, Susumu Tonegawa  Current Biology 
Decision Making during the Psychological Refractory Period
Perceptual Echoes at 10 Hz in the Human Brain
Volume 23, Issue 18, Pages (September 2013)
Optic Flow Cues Guide Flight in Birds
Volume 89, Issue 6, Pages (March 2016)
Representation of Object Weight in Human Ventral Visual Cortex
Volume 28, Issue 7, Pages e6 (April 2018)
Volume 51, Issue 1, Pages (July 2006)
Perirhinal-Hippocampal Connectivity during Reactivation Is a Marker for Object-Based Memory Consolidation  Kaia L. Vilberg, Lila Davachi  Neuron  Volume.
Colin J. Palmer, Colin W.G. Clifford  Current Biology 
Volume 20, Issue 23, Pages (December 2010)
Volume 25, Issue 13, Pages (June 2015)
Volume 27, Issue 5, Pages (March 2017)
Volume 82, Issue 5, Pages (June 2014)
Volume 27, Issue 3, Pages (February 2017)
Volume 26, Issue 7, Pages (April 2016)
Lisa M. Fenk, Andreas Poehlmann, Andrew D. Straw  Current Biology 
Visual Control of Altitude in Flying Drosophila
Volume 95, Issue 1, Pages e3 (July 2017)
Gal Aharon, Meshi Sadot, Yossi Yovel  Current Biology 
Confidence Is the Bridge between Multi-stage Decisions
Single-Unit Responses Selective for Whole Faces in the Human Amygdala
Optic Flow Cues Guide Flight in Birds
Volume 22, Issue 18, Pages (September 2012)
Decoding the Yellow of a Gray Banana
Volume 19, Issue 6, Pages (March 2009)
Opposite Effects of Recent History on Perception and Decision
Mosquitoes Use Vision to Associate Odor Plumes with Thermal Targets
Spatiotopic Visual Maps Revealed by Saccadic Adaptation in Humans
Attentive Tracking of Sound Sources
Volume 25, Issue 5, Pages (March 2015)
Visual Sensitivity Can Scale with Illusory Size Changes
Caudate Microstimulation Increases Value of Specific Choices
Dissociable Effects of Salience on Attention and Goal-Directed Action
Masaya Hirashima, Daichi Nozaki  Current Biology 
Noa Raz, Ella Striem, Golan Pundak, Tanya Orlov, Ehud Zohary 
Volume 27, Issue 3, Pages (February 2017)
Attention Reorients Periodically
Volume 27, Issue 3, Pages (February 2017)
Repeating Spatial Activations in Human Entorhinal Cortex
Training Attentional Control in Infancy
Traces of Experience in the Lateral Entorhinal Cortex
Attention Samples Stimuli Rhythmically
Encoding of Stimulus Probability in Macaque Inferior Temporal Cortex
Visually Mediated Motor Planning in the Escape Response of Drosophila
Volume 16, Issue 20, Pages (October 2006)
Volume 16, Issue 13, Pages (July 2006)
Claudia Lunghi, Uzay E. Emir, Maria Concetta Morrone, Holly Bridge 
Rapid Spatial Learning Controls Instinctive Defensive Behavior in Mice
The Perception and Misperception of Specular Surface Reflectance
Social Information Signaling by Neurons in Primate Striatum
Volume 21, Issue 7, Pages (April 2011)
Lysann Wagener, Maria Loconsole, Helen M. Ditz, Andreas Nieder 
Color Constancy for an Unseen Surface
Volume 16, Issue 15, Pages (August 2006)
Kazumichi Matsumiya, Satoshi Shioiri  Current Biology 
J. Andrew Pruszynski, Roland S. Johansson, J. Randall Flanagan 
Gaby Maimon, Andrew D. Straw, Michael H. Dickinson  Current Biology 
Matthew R. Roesch, Adam R. Taylor, Geoffrey Schoenbaum  Neuron 
Neurophysiology of the BOLD fMRI Signal in Awake Monkeys
Head-Eye Coordination at a Microscopic Scale
Presentation transcript:

The Occipital Place Area Is Causally Involved in Representing Environmental Boundaries during Navigation  Joshua B. Julian, Jack Ryan, Roy H. Hamilton, Russell A. Epstein  Current Biology  Volume 26, Issue 8, Pages 1104-1109 (April 2016) DOI: 10.1016/j.cub.2016.02.066 Copyright © 2016 Elsevier Ltd Terms and Conditions

Figure 1 Experiment 1 Methods and Results (A) Trial structure (after initial learning of object locations in block 1; see the Supplemental Experimental Procedures). On each trial, participants navigated to the remembered location of the target object (“replace” phase) and, after a short delay with a black screen, received feedback (“feedback” phase). The top shows a map of the virtual trajectory taken by the participant on each phase of a typical trial, and the bottom shows example views of the virtual environment from the participant’s perspective. The name of the target object remained on the center of the screen during the entire trial. (B) Participants learned four object locations over three blocks. The landmark was moved relative to the boundary at the start of block 2, and again at the start of block 3. Two objects were tethered to the landmark (red dots) and two objects were tethered the boundary (blue dots). TMS was applied to either the OPA or a vertex control site prior to the start of each block. (C) The top row shows the average distance error for the landmark-tethered objects (in red), and the bottom row shows the average distance error for the boundary-tethered object (in blue) during the replace phase. Vertex sessions are in light colors, and OPA sessions are in dark colors. Distance error is the distance between the replace location and the correct location for each trial, averaged over the two objects paired with each cue, in virtual units (VU). Compared to vertex, participants were significantly impaired at replacing the boundary objects after OPA stimulation, but not the landmark objects. Significance markers indicate the strength of the difference between OPA and vertex for each object type and block (one-tailed t test; ∗∗p < 0.01, ∗p < 0.05). Error bars indicate ±1 SEM. See also Figure S1 and Table S1. Current Biology 2016 26, 1104-1109DOI: (10.1016/j.cub.2016.02.066) Copyright © 2016 Elsevier Ltd Terms and Conditions

Figure 2 Influence of the Landmark on Replace Locations in Experiment 1 (A) The relative influence of the landmark was calculated as dB / (dL + dB), where dL is the distance of the response from the target location previously associated with the landmark and dB is the distance of the response from the target location previously associated with the boundary. This measure ranges from 0 to 1, where 0 is complete influence of the boundary and 1 is complete influence of the landmark. For block 3, two target locations were associated with the boundary for landmark-tethered objects, one from block 1 and the other from block 2, and so we used the location associated with the lowest dB. (B) The top row shows the relative influence of the landmark on landmark-tethered objects (in red), and the bottom row shows the relative influence of the landmark on boundary-tethered objects (in blue). Vertex sessions are in light colors, and OPA sessions are in dark colors. Over the course of each block and trial, participants became more likely to use the landmark to localize landmark-tethered objects and less likely to use the landmark to localize boundary-tethered objects. Compared to vertex, participants were more likely to be influenced by the landmark after OPA stimulation. Significance markers indicate the strength of the difference between OPA and vertex for each object type and block (one-tailed t test; ∗p < 0.05, †p < 0.09). Error bars indicate ±1 SEM. See also Figure S1 and Table S1. Current Biology 2016 26, 1104-1109DOI: (10.1016/j.cub.2016.02.066) Copyright © 2016 Elsevier Ltd Terms and Conditions

Figure 3 Experiment 2 Methods and Results (A) Example views of the virtual environment from the participant’s perspective during the feedback phase. There were two virtual arenas: one in which the arena was bounded by a wall (wall arena), and one in which the arena was bounded by a marking on the ground (mat arena). To ensure that all objects equally obscured the edges of the arenas, the target objects in experiment 2 were five-sided polyhedrons of the same height with images of the objects textured on the polyhedron’s sides. (B) Average distance error in virtual units (VU) in each arena, plotted separately for OPA (dark colors) and vertex (light colors) sessions. Stimulation to the right OPA impaired performance in the wall arena, but not in the mat arena. Significance markers indicate the strength of the difference between OPA and vertex for each Arena (one-tailed t test; ∗p < 0.05). Error bars indicate ±1 SEM. See also Figure S2 and Table S2. Current Biology 2016 26, 1104-1109DOI: (10.1016/j.cub.2016.02.066) Copyright © 2016 Elsevier Ltd Terms and Conditions