Ali Ghazizadeh, PhD

Affiliations: 
Laboratory of Sensorimotor Research, National Eye Institute National Institutes of Health, Bethesda, MD 
Area:
Decision Making, Basal ganglia
Google:
"Ali Ghazizadeh"
Mean distance: 13.14 (cluster 17)
 
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Publications

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Narmashiri A, Abbaszadeh M, Nadian MH, et al. (2023) Value-based search efficiency is encoded in substantia nigra reticulata firing rate, spiking irregularity and local field potential. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Abbaszadeh M, Panjehpour A, Amin Alemohammad SM, et al. (2023) Prefrontal cortex encodes value pop-out in visual search. Iscience. 26: 107521
Ghazizadeh A, Hikosaka O. (2022) Salience memories formed by value, novelty and aversiveness jointly shape object responses in the prefrontal cortex and basal ganglia. Nature Communications. 13: 6338
Narmashiri A, Abbaszadeh M, Ghazizadeh A. (2022) The effects of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) on the cognitive and motor functions in rodents: A systematic review and meta-analysis. Neuroscience and Biobehavioral Reviews. 140: 104792
Fayaz S, Fakharian MA, Ghazizadeh A. (2022) Stimulus presentation can enhance spiking irregularity across subcortical and cortical regions. Plos Computational Biology. 18: e1010256
Pakravan M, Abbaszadeh M, Ghazizadeh A. (2021) Coordinated multivoxel coding beyond univariate effects is not likely to be observable in fMRI data. Neuroimage. 247: 118825
Ghazizadeh A, Hikosaka O. (2021) Common coding of expected value and value uncertainty memories in the prefrontal cortex and basal ganglia output. Science Advances. 7
Ghazizadeh A, Fakharian MA, Amini A, et al. (2020) Brain Networks Sensitive to Object Novelty, Value, and Their Combination. Cerebral Cortex Communications. 1: tgaa034
Daneshi A, Azarnoush H, Towhidkhah F, et al. (2019) Drift-diffusion explains response variability and capacity for tracking objects. Scientific Reports. 9: 11224
Heidarieh SM, Jahed M, Ghazizadeh A. (2019) A New Nonlinear Sparse Component Analysis for a Biologically Plausible Model of Neurons. Neural Computation. 31: 1853-1873
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