Author

Jonah W. Brenner

Harvard UniversityORCID 0000-0002-0304-520XUnclaimed 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:statistical model· 2 Approach:machine learning (classical)· 1

Frequent Co-Authors

Chenguang LiiD· 2 shared Gabriel KreimaniD· 2 shared Adam P. BoeskyiD· 1 shared Sharad RamanathaniD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 6 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

Chenguang LiORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Policy optimization emerges from noisy representation learning

Jonah W. Brenner, Chenguang Li, Gabriel Kreiman

This paper introduces a theory where policy optimization emerges from reward-modulated noise in a model of representation learning.

bioRxiv · Nov 1, 2024 · PreprintNeuroscience

Neuron-level prediction and noise can implement flexible reward-seeking behavior

Chenguang Li, Jonah W. Brenner, Adam P. Boesky, Sharad Ramanathan, Gabriel Kreiman

This paper demonstrates that neural networks can exhibit reward-seeking behavior through local predictive updates and internal noise, enabling autonomous and adaptable interaction with environments.

bioRxiv · May 22, 2024 · PreprintNeuroscience