2023
Weng, G., Akbarian, A.,Clark, K., Noudoost, B., Nategh, N. Neural correlates of perisaccadic visual mislocalization in extrastriate cortex. Under revision at Nature Communications. 2023 [Weng at al 2023]
Weng, G., Clark, K., Akbarian, A., Noudoost, B., Nategh, N. Time-varying generalized linear models: decoding neuronal dynamics in higher visual areas. Under revision at Frontiers in Computational Neuroscience. 2023
Nategh, N., Manu, M., Baccus, S.A. Modulation of input sensitivity and output gain by retinal amacrine cells. Under revision at eLife. 2023
Weng G., Noudoost , Nategh N. Characterizing the neuronal correlates of perisaccadic mislocalization in V4. Neuroscience 2023, Society for Neuroscience Meeting, 2023.
2022
Weng, G., Akbarian A., Noudoost, B., Nategh, N. Modeling the Relationship between Perisaccadic Neural Responses and Location Information. Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers 2019 (pp. 451-454). IEEE.
Weng G., Akbarian A., Noudoost , Nategh N. Combining behavioral, physiological, and computational approaches demonstrates the neural basis of altered spatial perception during eye movements. Neuroscience 2022, Society for Neuroscience Meeting, 2022.
Shahdoust N., Akbarian A., Noudoost , Nategh N. Methods for Decomposition of LFP signals Within Visual Areas. Neuroscience 2022, Society for Neuroscience Meeting, 2022.
2021
Akbarian, A.,Clark, K. L., Noudoost, B., & Nategh, N. A sensory memory to preserve visual representations across eye movements. Nature Communications. 2021; 12(1):6449. doi: 10.1038/s41467-021-26756-0
Akbarian A., Nategh, N. Characterizing the spatiotemporal components of extrastriate responses during eye movements. The 55th Annual Asilomar Conference on Signals, Systems and Computers. 2021.
2020
Akbarian, A., Niknam, K., Clark, K. L., Noudoost, B., & Nategh, N. (2020). A Sensory Memory to Preserve Visual Representations Across Eye Movements.bioRxiv. doi: https://doi.org/10.1101/2020.02.28.970277
Roy, M., Akbarian A., Noudoost, B., Nategh, N. A population map of changes in the spatiotemporal sensitivity of extrastriate neurons across saccadic eye movements. Proceedings of the 54th Annual Asilomar Conference on Signals, Systems and Computers. 2020.
Nategh, N. Decoding neural activity to anticipate eye movements for use in visual prosthetics. Proceedings of the 54th Annual Asilomar Conference on Signals, Systems and Computers 2020.
2019
Niknam, K., Akbarian, A., Clark, K., Zamani, Y., Noudoost, B. and Nategh, N., 2019. Characterizing and dissociating multiple time-varying modulatory computations influencing neuronal activity. PLOS Computational Biology, 15(9), p.e1007275.
Zamani, Y., Nategh, N. Identifying high-resolution spatiotemporal components contributing to the fast spiking response dynamics of visual neurons. Proceedings of the 7th IEEE Global Conference on on Signal and Information Processing (GlobalSIP 2019, Symposium Talk) (pp. 1-4). IEEE.
Zamani, Y., Nategh, N. Analyzing the computational complexity of a dynamic model of the time-varying spatiotemporal sensitivity of neurons in the visual cortex. Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers 2019 (pp. 1714-1718). IEEE.
Zamani Y., Amert J., Bryan T., Nategh N. A robust vision-based algorithm for detecting and classifying small orbital debris using on-board optical cameras. Proceedings of the 20th Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS 2019) (p. 91).
Niknam, K., Akbarian Aghdam, A., Noudoost, B., Nategh, N. A Novel Computational Model Capturing Dynamic Changes in the Perisaccadic Response of Visual Neurons. Proceedings of Computational and Systems Neuroscience (Cosyne 2019).
Zamani, Y., Nategh, N. A convolutional neural network-based model of neural pathways in the retina. Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019, Symposium Talk) (pp. 6906-6909). IEEE.
Zamani, Y., Nategh, N. A nonlinear network model with application to modeling the retinal responses. Proceedings of 9th International IEEE/EMBS Conference on Neural Engineering (NER 2019, Spotlight presentation) (pp. 1007-1010). IEEE.
Nategh, N., Akbarian, A., Clark, K., Niknam, K., Noudoost, B., Zamani, Y. Understanding the dynamic neural code of extrastriate areas underlying visuospatial integration across saccadic eye movements. (Nanosymposium talk) Neuroscience 2019, Society for Neuroscience Meeting, 2019.
Akbarian, A., Niknam, K., Clark, K, Noudoost, B., Nategh, N. Tracing the neural basis of integration of spatial information across a saccade in extrastriate visual cortex. Neuroscience 2019, Society for Neuroscience Meeting, 2019.
Zamani, Y., Akbarian, A., Noudoost, B., Nategh, N. A statistical framework for characterizing the perisaccadic spatiotemporal sensitivity of visual neurons. Neuroscience 2019, Society for Neuroscience Meeting, 2019.
Zamani, Y., Nategh, N. A bio-inspired extension of the convolutional neural network models for neuronal modeling. The 53rd Annual Asilomar Conference on Signals, Systems and Computers (Poster). 2019.
2018
Akbarian Aghdam, A., Niknam, K., Parsa, MB., Clark, K., Noudoost, B., Nategh, N. Developing a Nonstationary Computational Framework with Application to Modeling Dynamic Modulations in Neural Spiking Responses. IEEE Transactions on Biomedical Engineering, 5(2):241-253, 2018.
Nategh, N., Manu, M., Baccus, S.A. (2018) Diverse Nonlinear Modulation of Visual Features by Retinal Amacrine Cells. bioRxiv doi: 10.1101/273730
Niknam, K., Akbarian Aghdam, A., Noudoost, B., Nategh, N. Characterizing Unobserved Factors Driving Local Field Potential Dynamics Underlying a Time-varying Spike Generation. Proceedings of the 6th IEEE Global Conference on Signal and Information Processing (GlobalSIP 2018).
Niknam, K., Akbarian A., Noudoost, B., Nategh, N. A Neuro-Inspired Model for Image Motion Processing. (Invited talk). In Computational Optical Sensing and Imaging, pp. CW3B-1. Optical Society of America, 2018.
Niknam, K., Akbarian Aghdam, A., Noudoost, B., Nategh, N. A state-based statistical model for characterizing the modulation of sensory cortical responses. Proceedings of Neuroscience 2018. Society for Neuroscience, 2018.
Akbarian Aghdam, A., Niknam, K., Noudoost, B., Nategh, N. Inferring saccadic modulation sources and their computations using a model-based characterization of spiking responses in extrastriate visual cortex. Proceedings of Neuroscience 2018. Society for Neuroscience, 2018.
2017
Noudoost, B., Nategh. N., Clark, K., Esteky, H. Stimulus Context Alters Neural Representations of Faces in Inferotemporal Cortex. J Neurophysiol., 117(1):336-347, 2017.
Niknam, K., Akbarian Aghdam, A., Noudoost, B., Nategh, N. Model-based Decoding of Time-varying Visual Information During Saccadic Eye Movements Using Single- and Multi-neuron MT Responses. Proceedings of the 51st Annual Asilomar Conference on Signals, Systems and Computers, 2017.
Niknam, K., Akbarian Aghdam, A., Noudoost, B., Nategh, N. A Computational Model for Characterizing MT Visual Information Using Both Spikes and Local Field Potentials. Proceedings of the 8th International IEEE EMBS Conference on Neural Engineering, pp. 656-659, 2017.
Before 2016
Niknam, K., Akbarian Aghdam, A., Noudoost, B., Nategh, N. Modeling Perisaccadic Visual Representation in MT Neurons by Incorporating Population-level Information. Proceedings of Neuroscience 2016. Society for Neuroscience, 2016.
Akbarian Aghdam, A., Parsa, MB., Nategh, N., Noudoost, B. MT Neurons Preserve Visually Selective Signals Across Eye Movements. Proceedings of Neuroscience 2016. Society for Neuroscience, 2016.
Akbarian Aghdam, A., Parsa, MB., Noudoost, B., Nategh, N. Spatiotemporal Dynamics of MT Receptive Fields During Eye Movements. (Nanosymposium) Presented at Neuroscience 2015, Society for Neuroscience Meeting.
Nategh, N., Manu, M., Baccus, S.A. Understanding Modulatory Computations in Neural Pathways of the Retina. (Nanosymposium) Presented at Neuroscience 2014, Society for Neuroscience Meeting.
Nategh, N., Manu, M., Baccus, S.A. Characterizing the Modulatory Contribution of a Sensory Interneuron in the Retina.Proceedings of Neuroscience 2012. Society for Neuroscience, 2012.
Nategh, N., Manu, M., Baccus, S.A. Contribution of Amacrine Transmission to Fast Adaptation of Retinal Ganglion Cells, Proceedings of Computational and Systems Neuroscience (Cosyne 2010).
Nategh, N., Manu, M., Baccus, S.A. Feature-specific Control of Retinal Ganglion Cell Gain and Kinetics by Amacrine Cells.Proceedings of Neuroscience 2009. Society for Neuroscience, 2009.
US Patents
Farhan Baqai, Vivek Athalye, Neda Nategh, Todd Sachs, “System and method for robust real-time 1D barcode detection,” Apple Inc., US Patent 8,608,073, Dec. 17, 2013.