Publications

Teng, S., & Fusco, G.. (2019). Modeling echo-target acquisition in blind humans. In Conference on Cognitive Computational Neuroscience. (Original work published 2019)

Shanidze, N., & Verghese, P.. (2019). Motion Perception in Central Field Loss: Visual Field Contributions.

Likova, L. T. (2018). Memory drawing and learning in the class room. Retrieved from Southern China Normal University, Guangzhou

Likova, L. T., & Tyler, C. W.. (2018). Memory Visualization and spatial learning. Retrieved from Nano-symposium at SfN

Ghahghaei, S., Succar, T., & Walker, L.. (2018). Method and Device for Improving Functional Stereopsis in Individuals with Central Vision Loss.

Shanidze, N., & Verghese, P.. (2018). Motion Perception in Central Field Loss.

Cacciamani, L., & Likova, L. T.. (2017). Memory-guided drawing training increases Granger causal influences from the perirhinal cortex to V1 in the blind. Neurobiology Of Learning And Memory, 141. http://doi.org/10.1016/j.nlm.2017.03.013 PMID: 28347878 PMCID: PMC 5488874 (Original work published 2017)

Ahmetovic, D., Manduchi, R., Coughlan, J., & Mascetti, S.. (2017). Mind your crossings: Mining GIS imagery for crosswalk localization. Acm Transactions On Accessible Computing (Taccess), 9(4). http://doi.org/10.1145/3046790

Shanidze, N., Heinen, S. J., & Verghese, P.. (2017). Monocular and Binocular Smooth Pursuit in Central Field Loss. Vision Research.

Cacciamani, L., & Likova, L. T.. (2016). Memory-guided drawing training increases Granger causal influences from the perirhinal cortex to V1 in the blind. Retrieved from SfN. San Diego Ca, USA

Ray, S., & Heinen, S. J.. (2015). A mechanism for decision rule discrimination by supplementary eye field neurons. Experimental Brain Research, 233, 459–476.

Jin, Z., Watamaniuk, S. N. J., Khan, A. Z., Potapchuk, E., & Heinen, S. J.. (2014). Motion Integration for Ocular Pursuit Does Not Hinder Perceptual Segregation of Moving Objects. The Journal Of Neuroscience, 34, 5835–5841.

Coughlan, J. (2012). Markov random fields and techniques for performing inference with them.

Peterson, M. A., Cacciamani, L., Mojica, A. J., & Sanguinetti, J. L.. (2012). Meaning can be accessed for the ground side of a figure. Gestalt Theory, 34.

Coughlan, J., & Editor: Tyler, C. W.. (2011). Mechanisms for propagating surface information in 3-D reconstruction. In Computer Vision: From Surfaces to 3D Objects. Chapman and Hall/CRC Press.

Coughlan, J. (2010). Maximum Entropy Distributions and Their Relationship to Maximum Likelihood.

Tekin, E., & Coughlan, J.. (2010). A mobile phone application enabling visually impaired users to find and read product barcodes. Computers Helping People with Special Needs. Springer Berlin Heidelberg.

Mackeben, M. (2009). Making the best of remaining vision—the role of focal attention. Neuro-Ophthalmology, 33, 127–131.

Coughlan, J., & Manduchi, R.. (2009). A mobile phone wayfinding system for visually impaired users. Assistive Technology Research Series, 25, 849.

Shen, H., Chan, K. - Y., Coughlan, J., & Brabyn, J.. (2008). A mobile phone system to find crosswalks for visually impaired pedestrians. Technology And Disability, 20, 217–224.

Pilz, K. S., Braun, C., Altpeter, E., Mackeben, M., & Trauzettel-Klosinski, S.. (2006). Modulation of visual stimulus discrimination by sustained focal attention: an MEG study. Investigative Ophthalmology & Visual Science, 47, 1225–1229.

Verghese, P., & McKee, S. P.. (2006). Motion grouping impairs speed discrimination. Vision Research, 46, 1540-6.

Verghese, P., & McKee, S. P.. (2006). Motion grouping impairs speed discrimination. Vision Research, 46, 1540-6.

Walker, L., Verghese, P., & Coughlan, J.. (2005). Modeling eye movements in a shape discrimination task. Journal Of Vision, 5, 921–921.

Coughlan, J., & Yuille, A. L.. (2003). Manhattan world: Orientation and outlier detection by bayesian inference. Neural Computation, 15, 1063–1088.