Author

Behzad Nazari

Isfahan University of TechnologyORCID 0000-0001-7525-5014Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:rat· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Ali YousefiiD· 2 shared Mohammad R. RezaeiiD· 1 shared Saeid SadriiD· 1 shared Uri T. EdeniD· 1 shared Yalda AmidiiD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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2 shared papersNeuroscience

Ali YousefiORCID

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2 papers

Recent·Most cited

NeuroscienceNeural ComputationPeer-reviewedSep 18, 2020

Assessing Goodness-of-Fit in Marked-Point Process Models of Neural Population Coding via Time and Rate Rescaling

Ali Yousefi, Yalda Amidi, Behzad Nazari, Uri T. Eden

The paper introduces time and rate rescaling transformations for assessing goodness-of-fit in marked-point process models of neural population coding using uniformity tests.

11 citations

electronic health recordsstatistical model

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BioinformaticsbioRxivPreprintAug 10, 2020

Deep Recurrent Neural Network and Point Process Filter Approaches in Multidimensional Neural Decoding Problems

Mohammad R. Rezaei, Behzad Nazari, Saeid Sadri, Ali Yousefi

This paper systematically compares LSTM and state-space point-process models for neural decoding using rat place cell data, evaluating their performance, efficiency, and generalizability.

1 citation

ratelectronic health records

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