Y. Ahmadian

发表

Modeling the Impact of Common Noise Inputs on the Network Activity of Retinal Ganglion Cells Action Editor: Brent Doiron

Eero P. Simoncelli, Jonathon Shlens, Liam Paninski, 2022 .

Properties of networks with partially structured and partially random connectivity.

Kenneth D Miller, Francesco Fumarola, Yashar Ahmadian, 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

Efficient Markov Chain Monte Carlo Methods for Decoding Neural Spike Trains

Liam Paninski, Jonathan W. Pillow, Yashar Ahmadian, 2011, Neural Computation.

Optimal decoding of stimulus velocity using a probabilistic model of ganglion cell populations in primate retina

L. Paninski, E. Lalor, Y. Ahmadian, 2009 .

The Dynamical Regime of Sensory Cortex: Stable Dynamics around a Single Stimulus-Tuned Attractor Account for Patterns of Noise Variability

Guillaume Hennequin, Kenneth D. Miller, Máté Lengyel, 2018, Neuron.

Sniff invariant odor coding

Yevgeniy B. Sirotin, Matthew C Smear, Y. Ahmadian, 2017, bioRxiv.

Proposals for projects: Topics in neural dynamics, information theory, and machine learning

Daniel B. Rubin, Guillaume Hennequin, Y. Ahmadian, 2019 .

Somatostatin-Expressing Interneurons in the Auditory Cortex Mediate Sustained Suppression by Spectral Surround

Y. Ahmadian, S. Jaramillo, Anna A. Lakunina, 2020, The Journal of Neuroscience.

Heading direction with respect to a reference point modulates place-cell activity

Pablo E. Jercog, E R Kandel, L F Abbott, 2018, Nature Communications.

Model-Based Decoding, Information Estimation, and Change-Point Detection Techniques for Multineuron Spike Trains

Liam Paninski, Jonathan W. Pillow, Yashar Ahmadian, 2011, Neural Computation.

Sniff-synchronized, gradient-guided olfactory search by freely moving mice

Yashar Ahmadian, Teresa M Findley, David G Wyrick, 2020, bioRxiv.

Stabilized supralinear network dynamics account for stimulus-induced changes of noise variability in the cortex

Guillaume Hennequin, Máté Lengyel, Yashar Ahmadian, 2016, bioRxiv.

Heading direction with respect to a reference point modulates place-cell activity

E. Kandel, L. Abbott, Y. Ahmadian, 2018, bioRxiv.

What is the dynamical regime of cerebral cortex?

Kenneth D. Miller, Yashar Ahmadian, K. Miller, 2019, Neuron.

Sniff Invariant Odor Coding

Yevgeniy B. Sirotin, Yashar Ahmadian, Matthew C Smear, 2017, eNeuro.

A new look at state-space models for neural data

Wei Wu, Joshua T. Vogelstein, Kamiar Rahnama Rad, 2010, Journal of Computational Neuroscience.

Designing optimal stimuli to control neuronal spike timing.

Rafael Yuste, Liam Paninski, Yashar Ahmadian, 2011, Journal of neurophysiology.

Deviation from the matching law reflects an optimal strategy involving learning over multiple timescales

W. Newsome, Stefano Fusi, L. Sugrue, 2019, Nature Communications.

Learning unbelievable probabilities

Xaq Pitkow, Kenneth D. Miller, Yashar Ahmadian, 2011, NIPS.

Learning unbelievable marginal probabilities pdf

Xaq Pitkow, Kenneth D. Miller, Yashar Ahmadian, 2011, ArXiv.

Learning fast and slow: deviations from the matching law can reflect an optimal strategy under uncertainty

William T. Newsome, Yonatan Loewenstein, Stefano Fusi, 2017, bioRxiv.

The stabilized supralinear network accounts for the contrast dependence of visual cortical gamma oscillations

K. Miller, Y. Ahmadian, Caleb J. Holt, 2023, bioRxiv.

Designing optimal stimuli to control neuronal spike timing.

L. Paninski, R. Yuste, Adam Packer, 2011, Journal of neurophysiology.

Modeling the impact of common noise inputs on the network activity of retinal ganglion cells

Eero P. Simoncelli, L. Paninski, J. Pillow, 2011, Journal of Computational Neuroscience.

Inferring neural circuit structure from datasets of heterogeneous tuning curves

Yashar Ahmadian, Takafumi Arakaki, G Barello, 2019, PLoS Comput. Biol..

Capturing the diversity of biological tuning curves using generative adversarial networks

Yashar Ahmadian, Takafumi Arakaki, G. Barello, 2017, bioRxiv.

The relationship between optimal and biologically plausible decoding of stimulus velocity in the retina.

Liam Paninski, Edmund C Lalor, Yashar Ahmadian, 2009, Journal of the Optical Society of America. A, Optics, image science, and vision.

Sniff Invariant Odor Coding

Yevgeniy B. Sirotin, Matthew C. Smear, Y. Ahmadian, 2017, eNeuro.

Analysis of the Stabilized Supralinear Network

Kenneth D. Miller, Yashar Ahmadian, Daniel B. Rubin, 2012, Neural Computation.

Incorporating Naturalistic Correlation Structure Improves Spectrogram Reconstruction from Neuronal Activity in the Songbird Auditory Midbrain

Sarah M. N. Woolley, Joseph W. Schumacher, L. Paninski, 2011, The Journal of Neuroscience.

Journal Section: Behavioral/systems/cognitive Title/abbreviated Title: Incorporating Naturalistic Correlation Structure Improves Spectro- Gram Reconstruction from Neuronal Activity in the Songbird Auditory Midbrain

Sarah M. N. Woolley, Joseph W. Schumacher, L. Paninski, 2022 .