Publications
Taylor, J., & Kriegeskorte, N. (2023). Extracting and visualizing hidden activations and computational graphs of PyTorch models with TorchLens. Scientific Reports, 13(1), 14375.
Taylor, J. and Xu, Y. (2023). Comparing the dominance of color and form information across the human ventral visual pathway and convolutional neural networks. Journal of Cognitive Neuroscience.
Taylor, J., & Xu, Y. (2022). Representation of color, form, and their conjunction across the human ventral visual pathway. Neuroimage, 251, 118941.
Taylor, J., & Xu, Y. (2021). Joint representation of color and form in convolutional neural networks: A stimulus-rich network perspective. PLOS One, 16(6), e0253442.
Taylor, J., & Xu, Y. (2022). Identifying the neural loci mediating conscious object orientation perception using fMRI MVPA. Cognitive Neuropsychology, 1-4.
Vaziri-Pashkam, M., Taylor, J., & Xu, Y. (2018). Spatial Frequency Tolerant Visual Object Representations in the Human Ventral and Dorsal Visual Processing Pathways. Journal of cognitive neuroscience, 1-14.
Taylor, J. and Xu, Y. (2020). Mixed Selectivity for Task and Stimulus Category in the Human Visual System (Manuscript in prep)
Taylor, J., and Xu, Y. (2020). Efficiently Defining the Human Superior Intraparietal Region that Tracks Visual Working Memory Performance. (Manuscript in prep)
Shehzad, Z., Taylor, J., & McCarthy, G. (2020). Modular and distributed representations of biographical knowledge for faces. (Under Review)
Taylor, J., Shehzad, Z., & McCarthy, G. (2016). Electrophysiological correlates of face-evoked person knowledge. Biological Psychology, 118: 136-146.
Conference Proceedings
Taylor, J., & Kriegeskorte, N. (2023). TorchLens: A Python package for extracting and visualizing hidden activations of PyTorch models. Poster presented at the 7th annual meeting of the Cognitive Computational Neuroscience Conference. Berlin, DE.
Taylor, J., & Kriegeskorte, N. (2023). Torchlens: A Python package for extracting and visualizing all hidden layer activations from arbitrary PyTorch models with minimal code. Talk presented at the 23rd annual meeting of the Vision Sciences Society Conference. St. Pete Beach, FL.
Taylor, J., & Xu, Y. (2021). The relative coding strength of color and form in the human ventral visual pathway and convolutional neural networks. Poster presented at the 21st annual meeting of the Vision Sciences Society Conference. St. Pete Beach, FL.
Taylor, J., & Xu, Y. (2020). Conjunctive Coding of Color and Shape in Convolutional Neural Networks. Poster presented at the 20th annual meeting of the Vision Sciences Society Conference. St. Pete Beach, FL.
Taylor, J., & Xu, Y. (2019). Conjunctive Coding of Color and Shape in Convolutional Neural Networks. Poster presented at the 3rd annual meeting of the Cognitive Computational Neuroscience Conference. Berlin, DE.
Taylor, J., & Xu, Y. (2019). The Coding of Color, Shape, and their Conjunction Across the Human Ventral Visual System. Talk presented at the 19th annual meeting of the Vision Sciences Society Conference. St. Pete Beach, FL.
Taylor, J., & Xu, Y. (2018). Probing Mixed Selectivity with fMRI Voxel Analysis. Talk presented at the 18th annual meeting of the Vision Sciences Society Conference. St. Pete Beach, FL.
Taylor, J., & Xu, Y. (2017). To bind or not to bind? Neural coding of color and shape. Talk presented at the 47th Annual Meeting of the Society for Neuroscience. Washington D.C.
Taylor, J., Vaziri-Pashkam, M., & Xu, Y. (2017). Effect of task on object category representations across human ventral, dorsal, and frontal brain regions. Poster presented at the 17th annual meeting of the Vision Sciences Society Conference. St. Pete Beach, FL.
Taylor, J., Vaziri-Pashkam, M., & Xu, Y. (2016). Attention to Object Form Modulates Informational Connectivity Between Dorsal and Ventral Visual Streams. Poster presented at the 46th Annual Meeting of the Society for Neuroscience. San Diego, CA.
Shehzad, Z., Taylor, J., & McCarthy, G. (2015). VATL Contributes to Biographical Knowledge of Faces via Feedback to FFA. Poster presented at the 45th Annual Meeting of the Society for Neuroscience. Chicago, IL.
