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Yashar Ahmadian

Showing results (1-10 of 19) with videos related to

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Neuron|August 31, 2021
What is the dynamical regime of cerebral cortex?Yashar Ahmadian, Kenneth D Miller
Plos Computational Biology|April 20, 2019
Inferring neural circuit structure from datasets of heterogeneous tuning curvesTakafumi Arakaki, G Barello, Yashar Ahmadian
Advances in Neural Information Processing Systems|August 8, 2017
Learning unbelievable probabilitiesXaq Pitkow, Yashar Ahmadian, Ken D Miller
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 14, 2015
Properties of networks with partially structured and partially random connectivityYashar Ahmadian, Francesco Fumarola, Kenneth D Miller
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|November 4, 2009
The relationship between optimal and biologically plausible decoding of stimulus velocity in the retinaEdmund C Lalor, Yashar Ahmadian, Liam Paninski
Neural Computation|October 23, 2010
Model-based decoding, information estimation, and change-point detection techniques for multineuron spike trainsJonathan W Pillow, Yashar Ahmadian, Liam Paninski
Neural Computation|October 23, 2010
Efficient Markov chain Monte Carlo methods for decoding neural spike trainsYashar Ahmadian, Jonathan W Pillow, Liam Paninski
Neural Computation|May 14, 2013
Analysis of the stabilized supralinear networkYashar Ahmadian, Daniel B Rubin, Kenneth D Miller
Plos Computational Biology|June 27, 2024
The stabilized supralinear network accounts for the contrast dependence of visual cortical gamma oscillationsCaleb J Holt, Kenneth D Miller, Yashar Ahmadian
Biorxiv : the Preprint Server for Biology|May 22, 2023
The stabilized supralinear network accounts for the contrast dependence of visual cortical gamma oscillationsCaleb J Holt, Kenneth D Miller, Yashar Ahmadian
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Neuron|August 31, 2021
What is the dynamical regime of cerebral cortex?Yashar Ahmadian, Kenneth D Miller
Plos Computational Biology|April 20, 2019
Inferring neural circuit structure from datasets of heterogeneous tuning curvesTakafumi Arakaki, G Barello, Yashar Ahmadian
Advances in Neural Information Processing Systems|August 8, 2017
Learning unbelievable probabilitiesXaq Pitkow, Yashar Ahmadian, Ken D Miller
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 14, 2015
Properties of networks with partially structured and partially random connectivityYashar Ahmadian, Francesco Fumarola, Kenneth D Miller
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|November 4, 2009
The relationship between optimal and biologically plausible decoding of stimulus velocity in the retinaEdmund C Lalor, Yashar Ahmadian, Liam Paninski
Neural Computation|October 23, 2010
Model-based decoding, information estimation, and change-point detection techniques for multineuron spike trainsJonathan W Pillow, Yashar Ahmadian, Liam Paninski
Neural Computation|October 23, 2010
Efficient Markov chain Monte Carlo methods for decoding neural spike trainsYashar Ahmadian, Jonathan W Pillow, Liam Paninski
Neural Computation|May 14, 2013
Analysis of the stabilized supralinear networkYashar Ahmadian, Daniel B Rubin, Kenneth D Miller
Plos Computational Biology|June 27, 2024
The stabilized supralinear network accounts for the contrast dependence of visual cortical gamma oscillationsCaleb J Holt, Kenneth D Miller, Yashar Ahmadian
Biorxiv : the Preprint Server for Biology|May 22, 2023
The stabilized supralinear network accounts for the contrast dependence of visual cortical gamma oscillationsCaleb J Holt, Kenneth D Miller, Yashar Ahmadian
Pageof 2