Author

Akshay Kumar Jagadish

Max Planck Institute for Biological CyberneticsORCID 0000-0002-7897-9752Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Neuroscience· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Assay:electronic health records· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Research Focus:dimensionality reduction· 1 Approach:statistical model· 1

Frequent Co-Authors

Andreas Savas ToliasiD· 2 shared Edgar Y. WalkeriD· 2 shared Fabian H. SinziD· 2 shared Konstantin-Klemens LurziD· 2 shared Mohammad BashiriiD· 2 shared Taliah MuhammadiD· 2 shared Alexander S. EckeriD· 1 shared Eric Y. WangiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersNeuroscience

Andreas Savas ToliasORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

A flow-based latent state generative model of neural population responses to natural images

Mohammad Bashiri, Edgar Y. Walker, Konstantin-Klemens Lurz, Akshay Kumar Jagadish, Taliah Muhammad, Zhiwei Ding, Zhuokun Ding, Andreas Savas Tolias, Fabian H. Sinz

This paper introduces a flow-based generative model to capture neural population responses to natural images, outperforming existing models in predicting variability and learning latent factors related to behavior and brain area.

bioRxiv · Sep 9, 2021 · PreprintNeuroscience

Generalization in data-driven models of primary visual cortex

Konstantin-Klemens Lurz, Mohammad Bashiri, Konstantin F. Willeke, Akshay Kumar Jagadish, Eric Y. Wang, Edgar Y. Walker, Santiago A. Cadena, Taliah Muhammad, Erick Cobos, Andreas Savas Tolias, Alexander S. Ecker, Fabian H. Sinz

This paper introduces a novel readout method for DNNs trained on mouse V1 data, achieving better generalization across animals and outperforming existing models.

bioRxiv · Oct 5, 2020 · PreprintNeuroscience