Zavitz, E. & Price, N.S.C. (accepted, in press). Weighting neurons by selectivity produces near optimal population codes, Journal of Neurophysiology.
Ghodrati, M., Zavitz, E., Rosa, M.G.P. & Price, N.S.C. (2019). Contrast and luminance adaptation alter neuronal coding and perception of stimulus orientation. Nature Communications, 10(1), 941.
Zavitz, E. & Price, N.S.C. (2019). Understanding sensory information processing through simultaneous multi-area population recordings, Frontiers in Neural Circuits, 12(115).
Zavitz, E., Yu, H.-H., Rosa, M.G.P. & Price, N.S.C. (2019). Correlated variability in the neurons with the strongest tuning improves direction coding, Cerebral Cortex, 29(2): 615-626.
Zavitz, E., Yu, H.-H., Rowe, E.G., Rosa, M.G.P, & Price, N.S.C. (2016).
Rapid Adaptation Induces Persistent Biases in Population Codes for Visual Motion, Journal of Neuroscience, 36(16): 4579-4590.
- Haak, K.V. & Mesik J. (2016). Adaptation, the Coding Catastrophe and Disaster Management in Natural Vision. Journal of Neuroscience, 36(36):9286-9288.
- F1000 Prime recommendation
Zavitz, E. & Baker, C.L. (2014). Higher-order image structure enables boundary segmentation in the absence of luminance or contrast cues, Journal of Vision, 14(4), 1-14.
Zavitz, E. & Baker, C.L. (2013). Texture sparseness, but not local phase structure, impairs second-order segmentation, Vision Research, 91, 45-55.
Arsenault, E., Yoonessi, A. & Baker, C.. (2011). Higher order texture statistics impair contrast boundary segmentation. Journal of Vision, 11(10), 1-15.
Visual Information Exhibit
I designed an exhibit "From Noise to Meaning: How Visual Information Makes Sense" that shows how different types of visual information combine to produce our perceptual experience.
Please note that to view the video properly, it must be downloaded to a computer and played in a media player. Online video streaming relies on compressed video signals that leverage the characteristics of natural images - characteristics that are deliberately removed from most of this video.
Zavitz, E., Rosa, M.G.P. & Price, N.S.C. (2016). Primate Visual Cortex in Reference Module in Neuroscience and Biobehavioral Psychology
Price, N.S.C., Zavitz, E. & Born, R.T. (2016). Representation of Movement in Reference Module in Neuroscience and Biobehavioral Psychology
"Stimulus statistics restructure correlated variability within and between visual areas" CoSyNe (Lisbon, Portugal, February 2019) [poster PDF]
"Network structure within and between marmoset V1 and MT facilitates natural image coding" Society for Neuroscience Annual Meeting (San Diego, USA, November 2018) [poster PDF]
"Population codes in V1 and MT are optimised for the structure of natural images" Society for Neuroscience Annual Meeting (Santorini, Greece, June 2018) [poster PDF]
"Population codes in V1 and MT are optimised for the structure of natural images", Systems and Computational Neuroscience Down Under (Brisbane, Australia, December 2017). [poster PDF]
"Task- and time-dependence of population codes for motion in marmoset MT", Society for Neuroscience Annual Meeting (San Diego, USA, November 2016). [poster PDF]
"Adaptation survives intervening stimulation in area MT", Society for Neuroscience Annual Meeting (Washington DC USA, November 2014). [poster PDF]
"Higher-order texture statstics influence and enable segmentation in synthetic and natural texures", Bosch Institute Annual Meeting (Sydney, Australia, July 2013). [poster PDF]
"Segmentation of boundaries defined by natural and naturalistic textures", Sensory Coding and Natural Environment (Klosterneuberg, Austria, July 2013). [poster PDF]
Last updated: 22 March, 2019