Publications
Publications
(please email eaminoff@fordham.edu for any pdfs of the below publications)
Aminoff, E. & Durham, T. (2022). Scene-selective brain regions respond to embedded objects of a scene. Cerebral Cortex, bhac399. [Link]
Baror, S., Bar, M. & Aminoff, E. (2022). How associative thinking influences scene perception. Consciousness and Cognition, 103, 103377. [Link]
Aminoff, E., Baror, S., Roginek, E., & Leeds, D. (2022). Contextual associations represented both in neural networks and human behavior. Scientific Reports, 12, 5570. [Link]
Aminoff, E., & Tarr, M. (2021). Functional context affects scene processing. Journal of Cognitive Neuroscience, 33, 933-945. [Link]
Yang, Y., Tarr, M., Kass, R. & Aminoff, E. (2019). Exploring spatio-temporal neural dynamics of the human visual cortex. Human Brain Mapping, 40, 4213-4238. [Link]
Chang, N., Pyles, J., Marcus, A., Gupta, A., Tarr, M., & Aminoff, E. (2019). BOLD5000, a public fMRI dataset while viewing 5000 visual images. Scientific Data, 6, 49. [Link]
Blauch, N., Aminoff, E., & Tarr, M. (2017). Functionally localized representations produce distributed information: insight from simulations of deep, convolutional neural networks. Proceedings of the Cognitive Science Society. [Link]
Yang, Y., Aminoff, E., Tarr, M., & Kass, R. (2016). A state-space model of cross-region dynamic connectivity in MEG/EEG. In Advances In Neural Information Processing Systems, 1226-1234. [Link]
Aminoff, E., Li, Y., Pyles, J., Ward, M., R. M. Richardson, & A. Ghuman. (2016). Associative hallucinations result from stimulating left ventromedial temporal cortex. Cortex, 83, 139-144. [Link]
Kim, J.+, Aminoff, E.+, Kastner, S., & Behrmann, M. (2015). The neural basis of developmental topographic disorientation. Journal of Neuroscience, 35, 12954-12969. + Equal contribution. [Link]
Aminoff, E. & Tarr, M. (2015). Associative processing is inherent in scene perception. PLoS ONE, 10(6): e0128840. [Link]
Aminoff, E., Toneva, M., Shrivastava, A., Chen, X., Misra, I., Gupta, A. & Tarr, M. (2015). Applying artificial vision models to human scene understanding. Front. Comput. Neurosci. 9:8. doi: 10.3389/fncom.2015.00008. Special Research Topic: Integrating computational and neural findings in visual object perception. [Link]
Aminoff, E., Freeman, S., Clewett, D., Tipper, C., Frithsen, A., Johnson, A., Grafton, S., & Miller, M. (2015). Maintaining a cautious state of mind during a recognition test: A large-scale fMRI study. Neuropsychologia, 67, 132-147. [Link]
Hermunstad, A., Brown, K., Bassett, D., Aminoff, E., Frithsen, A., Johnson, A.,Tipper, C., Miller, M., Grafton, S., & Carlson, J. (2014). Structurally-constrained relationships between cognitive states in the human brain. PLOS Computational Biology 10: e1003591. [Link]
Aminoff, E., Kveraga, K., & Bar, M. (2013). The role of the parahippocampal cortex in cognition. Trends in Cognitive Sciences, 17, 379-390. [Link]
Hermunstad, A., Bassett, D., Brown, K., Aminoff, E., Clewett, D., Freeman, S., Frithsen, A., Johnson, A.,Tipper, C., Miller, M., Grafton, S., & Carlson, J. (2013). Structural foundations of resting-state and task-based neural activity in the human brain. Proceedings of the National Academy of Sciences, 110, 6169-6174. [Link]
Aminoff, E., Clewett, D., Freeman, S., Frithsen, A., Tipper, C., Johnson, A., Grafton, S., & Miller, M. (2012). Individual differences in shifting decision criterion: A recognition memory study. Memory & Cognition, 40, 1016-1030. [Link]
Miller, M., Donovan, C., Bennett, C., Aminoff, E., & Mayer, R. (2012). Individual differences in cognitive style and strategy predict similarities in the patterns of brain activity between individuals. NeuroImage, 59, 83-93. [Link]
Kveraga, K., Ghuman, A., Kassam, K., Aminoff, E., Hamalainen, M., Chaumon, M., & Bar, M. (2011). Early onset of neural synchronization in the contextual associations network. Proceedings of the National Academy of Sciences, 108: 3389-3394. [Link]
Aminoff, E., Schacter, D. L., & Bar, M. (2008). The cortical underpinnings of context-based memory distortion. Journal of Cognitive Neuroscience, 20, 2226-2237. [Link]
Chiao, J. Y., Iidaka, T., Gordon, H. L., Nogawa, J., Bar, M., Aminoff, E., Sadato, N., & Ambady, N. (2008). Cultural specificity in amygdala response to fear faces. Journal of Cognitive Neuroscience, 20, 2167-2174. [Link]
Bar, M., Aminoff, E., Schacter, D. (2008). Scenes unseen: The parahippocampal cortex subserves contextual associations, not scenes per se. Journal of Neuroscience, 28, 8539-8544. [Link]
Bar, M., Aminoff, E., & Ishai, A. (2008). Famous faces activate contextual associations in the parahippocampal cortex. Cerebral Cortex, 18, 1233-1238. [Link]
Bar, M., Aminoff, E., Mason, M., & Fenske, M. (2007). The units of thought. Hippocampus, 17, 420-428. [Link]
Aminoff, E., Gronau, N., & Bar, M. (2007). The parahippocampal cortex mediates spatial and non spatial associations. Cerebral Cortex, 27, 1493-1503. [Link]
Fenske, M., Aminoff, E., Gronau, N., & Bar M. (2006). Top-down facilitation of visual object recognition: Object-based and context-based contributions. Progress in Brain Research, 155, 3-21. [Link]
Zago, L., Fenske, M. J., Aminoff, E., & Bar, M. (2005). The rise and fall of priming: How visual exposure shapes cortical representations of objects. Cerebral Cortex, 15, 1655-1665. [Link]
Bar, M. & Aminoff, E. (2003). Cortical analysis of visual context. Neuron, 38, 347-358. [Link]
Other Scholarly Publications (public datasets, book chapters, invited papers)
Chang, N., Pyles, J., Prince, J., Tarr, M., & Aminoff, E. (2021). BOLD5000 Release 2.0. https://doi.org/10.1184/R1/14456124 .
Baror, S., Aminoff, E., & Bar, M. (2021). Proactive by default. In, Gilead, M. & Ochsner, K, N. (Eds.), The Neural Basis of Mentalizing. Springer Press.
Chang, N., Pyles, J., Marcus, A., Gupta, A., Tarr, M., & Aminoff, E. (2018). BOLD5000. https://kilthub.figshare.com/articles/BOLD5000/6459449/4 .
Chang, N., Pyles, J., Marcus, A., Gupta, A., Tarr, M., & Aminoff, E. (2018). BOLD5000. https://openneuro.org/datasets/ds001499/ .
Tarr. M & Aminoff, E. (2016). Can big data help us understand human vision? In, Jones, M. (Ed.), Big Data in Cognitive Science. Psychology Press (Taylor & Francis).
Aminoff, E. & Tarr, M. (2016). Perception and Cognition. In, Miller H. (Ed).The SAGE encyclopedia of theory in psychology. SAGE publications. DOI: http://dx.doi.org/10.4135/9781483346274.n227
Aminoff, E. (2014). Putting scenes in context. In, Kveraga, K. & Bar, M. (Eds), Scene Vision: Making sense of what we see (pp. 135-154). Cambridge: MIT Press.
Aminoff, E., Balslev, D., Borroni, P., Bryan, R.E., Chua, E.F., Cloutier, J., Cross, E.S., Drew, T.,Funk, C.M., Gil-da-Costa, R., Guerin, S.A., Hall, J.L., Jordan, K.E., Landau, A.N., Molnar-Szakacs, I., Montaser-Kouhsari, L., Olofsson, J.K., Quadflieg, S., Somerville, L.H., Sy, J.L., Uddin, L.Q., & Yamada, M. (2009). The landscape of cognitive neuroscience: Challenges, rewards, and new perspectives. In M.S. Gazzaniga (Ed.), The Cognitive Neurosciences IV. Cambridge, MA: MIT Press.
Conference Presentations (2016-present)
Meighan, B., & Aminoff, E. (2023, May). Familiarity and Scene Understanding. To be presented at the annual meeting at the Vision Science Society, St. Pete, FL.
Galbo, E., Lincoln-DeCusatis, N., & Aminoff, E. (2023, May). Musically induced microvalences in high-level visual processing of everyday scenes. To be presented at the annual meeting at the Vision Science Society, St. Pete, FL.
Aminoff, E., Nalls, T. & Baror, S. (2023, May). Scene context affects face discrimination. To be presented at the annual meeting at the Vision Science Society, St. Pete, FL.
Kobrinsky, V., Aminoff, E., Boros, M., Falzarano, F., Minahan Zucchetto, J., Yazdani, N. Sergioa, J., Bloom, R., Siedlecki, K. (2023, May). COVID-19 Illness and Cognitive Functioning in a Community-Dwelling Sample of Adults. To be presented at the APS annual convention, Washington, DC.
Aminoff, E., Baror, S., Roginek, E., & Daniel Leeds. (2022, May). Inherent representations of contextual associations in neural networks and human behavior. Presented at the annual meeting of the Vision Science Society, St. Pete, FL.
Durham, T., & Aminoff, E. (2021, May). Weather Discrimination in Scene Processing Regions. Presented at the virtual (online) meeting of the Vision Science Society.
Roginek, E., Baror, S., Leeds, D., & Aminoff, E. (2021, May). Representing contextual associations in convolutional neural networks. Presented at the virtual (online) meeting of the Vision Science Society.
Baror, S., Bar, M., & Aminoff, E. (2020, June). Exploring how broad associative thought enhances scene gist perception. Presented at the virtual (online) meeting of the Vision Science Society.
Durham, T. & Aminoff E. (2020, June). How do objects within a scene affect neural representation? Presented at the virtual (online) meeting of the Vision Science Society.
Chan, L. & Aminoff, E. (2020, March). The representation of micro-valences in high-level visual processing for everyday images. Presented at the virtual (online) meeting of the Cognitive Neuroscience Society.
Aminoff, E. & Young, A. (2019, October). A representational similarity analysis examining scene categorization in the brain. Presented at the annual meeting of the Society for Neuroscience, Chicago, IL.
Aminoff, E. & Hughes H. (2019, May). Scene feature preferences found in scene selective cortex. Presented at the annual meeting of the Vision Science Society, St. Pete, FL.
Chang, N., Pyles, J., Gupta, A., Tarr, M., & Aminoff, E. (2018, September). A public fMRI dataset of 5000 scenes: a resource for human vision science. Presented at the annual meeting of Cognitive Computational Neuroscience, Philadelphia, PA.
Pyles, J., Chang, N., Pyles, J., Tarr, M., Gupta, A., & Aminoff, E., (2018, June) Scaling up neural datasets: A public fMRI dataset of 5000 scenes. Presented at the annual meeting of the Organization of Human Brain Mapping, Singapore
Chang, N., Aminoff, E., Pyles, J., Tarr, M., & Gupta, A. (2018, May) Scaling up neural datasets: A public fMRI dataset of 5000 scenes. Presented at the annual meeting of the Vision Science Society, St. Pete, FL.
Blauch, N., Aminoff, E., Tarr, M. (2017, September) Face module activations inform non-face discrimination. Presentation at the inaugural conference on Cognitive Computational Neuroscience, New York, New York.
Aminoff, E. (2017, July). How can artificial vision models teach us about human scene understanding? Invited talk at the Psychonomics Leading Edge Workshop: Beyond the Lab: using big data to discover principles of cognition, Madison, Wisconsin.
Aminoff, E., (2017, May). Associative Processing in Scene Understanding. Talk presented at the NYU meeting of Advances in Memory Systems, New York, NY.
Yang, Y., Kass, R., Tarr, M. & Aminoff, E. (2016, December). Understanding neural dynamics of human vision using convolutional neural networks. Poster presentation at the Woman in Machine Learning Workshop at Neural Information Processing Systems, Barcelona, Spain.
Aminoff, E., & Tarr, M. (2016, November). Framing scene perception in the brain. Talk presentation at the annual meeting of the Society of Neuroscience, San Diego, CA.
Yang, Y., Kass, R., Tarr, M., & Aminoff, E. (2016, May). Exploring spatio-temporal neural basis of scene processing with MEG/EEG using a convolutional neural network. Poster presented at the annual meeting of the Visual Science Society, St. Pete, FL.