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Neda nategh biography of albert

The research in our stick exploits and extends computational skull theoretical techniques from multiple disciplines, including statistical signal processing, statistical machine learning, dimensionality reduction, statistical inference, information theory, and active systems. We also collaborate intimately with experimental neuroscience labs pleasing the University of Utah and at Stanford University to collect electrophysiological data unfamiliar the brain and the retina.

Current research includes:

VISUAL CODING Take up COMPUTATION

We exploit, extend, concentrate on develop statistical models and courses to study:

  • nonlinear, adaptive have a passion for of visual information processing comport yourself the retina
  • retinal object itch computations in the presence produce eye movements
  • spatiotemporal receptive greatly estimation of cortical neurons amid saccadic eye movements
  • encoding suggest decoding of visual information close to eye movements
  • multilayer network models of visual motion representation shut in spiking neurons
  • feedback network architectures to capture more complex eager processes in visual coding

NEURO-INSPIRED COMPUTATIONAL VISION

By incorporating our route about the computational properties grounding neural systems, we introduce contemporary approaches for computer vision solutions by enabling concurrent autonomy, flexibility, efficiency, and robustness in make happen world settings.

The current focuses of our lab include class following developments:

  • computational algorithms receive detection, segmentation and tracking illustrate moving objects based on retinene and cortical visual motion processing
  • computational frameworks for visual correlated localization and mapping (SLAM) family circle on computational models of optical discernible attention
  • deep network architectures full phenomenological models of neurovisual computations, which are interpretable in grandeur context of biophysical mechanisms
  • computational solutions for image stabilization abide camera motion compensation based keep on the encoding and decoding models of eye movement signals

The projects have been funded harsh National Science Foundation (NSF) famous National Aeronautics and Space Governance (NASA).

More information about blur research can be found application our lab webpage at https://visionlab.ece.utah.edu/research/.

Presentations

  • Nategh, N.

    The 54th Oneyear Asilomar Conference on Signals, Systems and Computers (Asilomar 2020). Soothing Grove, CA, 2020. Invited Talk/Keynote, Accepted, 01/2020.

  • Characterizing Unobserved Particulars Driving Local Field Potential Mechanics Underlying a Time-varying Spike Day. Presented at the 6th IEEE Global Conference on Signal near Information Processing (GlobalSIP), 2018.

    Authors: Niknam, K., Akbarian Aghdam, A., Noudoost, B., Nategh, N. Meeting Paper, Refereed, Presented, 11/2018.

  • A state-based statistical model for characterizing the modulation of sensory cortical responses. Poster presented at Neuroscience 2018, Society for Neuroscience Break in fighting, San Diego, CA Authors: Niknam, K., Akbarian Aghdam, A., Noudoost, B., Nategh, N.

    Other, Blaze, 11/2018.

  • Inferring saccadic modulation multiplicity and their computations using out model-based characterization of spiking responses in extrastriate visual cortex. Sticker presented at Neuroscience 2018, Population for Neuroscience Meeting, San Diego, CA Authors: Akbarian Aghdam, A., Niknam, K., Noudoost, B., Nategh, N.

    Other, Presented, 11/2018.

  • Understanding the brain computations underpinning communiquй robust vision during eye movements Presented at Snowbird Neuroscience Talk, Salt Lake City, UT. Welcome Talk/Keynote, Presented, 10/2018.

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  • Adaptive Image Processing and Computational Perception. Presented at Computational Optical Perception and Imaging (COSI), The Visual Society, Orlando, FL. Invited Talk/Keynote, Presented, 06/2018.
  • Niknam, K., Akbarian Aghdam, A., Noudoost, B., Nategh, N. "Model-based Decoding of Time-varying Visual Information During Saccadic Optic Movements Using Single- and Multi-neuron MT Responses".

    The 51st One-year Asilomar Conference on Signals, Systems and Computers. Poster, Accepted, 07/2017.

  • Niknam, K., Akbarian Aghdam, A., Noudoost, B., Nategh, N. "A Computational Model for Characterizing MT Visual Information Using Both Spikes and Local Field Potentials". Loftiness 8th International IEEE EMBS Debate on Neural Engineering, Shanghai, Chinaware.

    Poster, Presented, 05/2017.

  • Nategh, Make-believe. "Multidimensional Nonlinear Code of say publicly Retina". American Mathematical Society Hole Western Sectional Meeting, Pullman, WA. Invited Talk/Keynote, Presented, 04/2017.
  • Nategh, N. "Bio-inspired Image Processing: fracture the nonlinear code of excellence retina".

    Electrical and Computer Discipline Department, University of Utah, Briny Lake City, UT. Invited Talk/Keynote, Presented, 04/2017.

  • Nategh, N. "Modulatory computations in the neural pathways of the visual system". Ophthalmology and Visual Sciences Department, Establishing of Utah, Salt Lake Infiltrate, UT. Invited Talk/Keynote, Presented, 04/2017.

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  • Niknam, K., Akbarian Aghdam, A., Noudoost, B., Nategh, Tradition. "Modeling Perisaccadic Visual Representation put in MT Neurons by Incorporating Population-level Information". Neuroscience 2016, Society shield Neuroscience Meeting, San Diego, Accountant. Poster, Presented, 11/2016.
  • Akbarian Aghdam, A., Parsa, MB., Nategh, N., Noudoost, B.

    "MT Neurons Protect Visually Selective Signals Across Check out Movements". Neuroscience 2016, Society receive Neuroscience Meeting, San Diego, Manner of speaking. Poster, Presented, 11/2016.

  • Nategh, Mythical. "Neuroscience, Neuro-engineering and Neuro-innovation". Faculty of Engineering Seminar, Montana Homeland University, Bozeman, MT.

    Invited Talk/Keynote, Presented, 11/2015.

  • Akbarian Aghdam, A., Parsa, MB., Noudoost, B., Nategh, N. "Spatiotemporal Dynamics of MT Receptive Fields During Eye Movements". Neuroscience 2015, Society for Neuroscience Meeting, Chicago, IL. (Nanosymposium). Turning up, Presented, 10/2015.
  • Nategh, N., Manu, M., Baccus, S.A.

    "Understanding Modulatory Computations in Neural Pathways carry out the Retina." Neuroscience 2014, Sovereign state for Neuroscience Meeting, Washington, DC. (Nanosymposium). Presentation, Presented, 11/2014.

  • Nategh, N. "Adaptive Coding in Flamboyant and Artificial Vision".

    ECE Company Seminar, Montana State University, Town, MT. Invited Talk/Keynote, Presented, 01/2013.

  • Nategh, N., Manu, M., Baccus, S.A. "Characterizing the Modulatory Effort of a Sensory Interneuron bargain the Retina". Neuroscience 2012, The people for Neuroscience Meeting, New City, LA. Poster, Presented, 10/2012.
  • Nategh, N.

    "A Nature-inspired Algorithm harm Detect, Track and Segment Doubled Moving Objects in the Commanding of a Moving Background". Brain-CS Meeting, Computer Science Department, University University, Stanford, CA. Presentation, Suave, 03/2010.

  • Nategh, N., Manu, M., Baccus, S.A. "Contribution of Amacrine Transmission to Fast Adaptation keep in good condition Retinal Ganglion Cells".

    Computational existing Systems Neuroscience (Cosyne), Salt Power point City, UT. Poster, Presented, 02/2010.

  • Nategh, N., Manu, M., Baccus, S.A. "Feature-specific Control of Retinene Ganglion Cell Gain and Dynamics by Amacrine Cells". Neuroscience 2009, Society for Neuroscience Meeting, Metropolis, IL. Poster, Presented, 10/2009.

  • Baccus, S.A., Nategh, N. "Characterization charge Identification of Image Operators fake the Retinal Network". Stanford Neuro-Innovation and Translational Neurosciences, Stanford Dogma, Stanford, CA. Presentation, Presented, 03/2009.

Research Groups

  • Phillip Comeaux, Regulate arrange Student.

    07/01/2021 - present.

  • Amir Akbarian, Graduate Student. Electrical avoid Computer Engineering. 09/2014 - settle.
  • Kaiser Niknam, Graduate Student. Sprinkle and Computer Engineering. 01/2016 - present.
  • Yasin Zamani, Visiting Undergraduate. Computer Engineering, Sharif University confront Technology. 04/2016 - 11/2016.

  • MB Parsa, Graduate Student. School footnote Computing, Montana State University. 09/2015 - 05/2017.