Publications

2019


Niknam, K., Akbarian Aghdam, A.,Clark, K., Zamani, Y., Noudoost, B., Nategh, N. Characterizing and Dissociating Multiple Time-varying Modulatory Computations Influencing Neuronal Activity. Plos Computational Biology. In press.

Zamani, Y., Noudoost, B., Nategh, N. Dynamic Sparse Encoding Models For Modeling High-Dimensional Data Resulting From The Interaction Of Sensory And Cognitive Factors. The 7th IEEE Global Conference on Signal and Information Processing (GlobalSIP 2019). Under review.

Zamani, Y., Nategh, N. Characterizing the Dynamic Spatiotemporal Receptive Fields of Visual Neurons Across Saccadic Eye Movements. The 53rd Annual Asilomar Conference on Signals, Systems and Computers. Under review.

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. Under review.

Zamani, Y., Nategh, N. A robust vision-based detection algorithm for tracking small orbital debris using on-board optical cameras. The 20th Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS 2019), 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.

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) Neuroscience 2019, Society for Neuroscience Meeting, 2019.

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 IEEE Engineering in Medicine and Biology Conference (EMBC 2019).

Zamani, Y., Nategh, N. A Computational Model of Inhibitory Computations in the Retina. Proceedings of the 9th IEEE EMBS Conference on Neural Engineering (NER 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. 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.