Congratulations to my great students Arman Hatami and Romina Aalishah on their new study of machine unlearning and forgetting accepted.
arxiv.org/abs/2604.15166
This has had clear implications for ML and neuroscience (albeit from different angles), and we continue this work in both disciplines….
Posts by Monosov Lab
I am deeply grateful to the Bloomberg Endowment for supporting both our research and broader vision! We hope that our work will contribute to next generation of psychiatry treatments, bci, and ai development.
Great Bita
! New paper from the lab !
How does novelty impact value-based decision making ?
What are the circuits and what mechanisms do they implement?
Congratulations to Dr. Takaya Ogasawara and team
www.cell.com/neuron/fullt...
Nature research paper: Integrator dynamics in the cortico-basal ganglia loop for flexible motor timing
go.nature.com/4oX2rmq
incredible collaborating with you Naoki.
hanging out in your office and discussing the details was really fantastic and i gained much insight through it.
How do non-neuronal CNS cells called astrocytes contribute to cognition & computation?
See our preprint
Headed by my students Julia Pai and Fatih Sogukpinar, also working with Hiratani, Pignatelli, Papouin, Frank, and Ching labs. This was a huge effort
www.biorxiv.org/content/10.1...
she is brilliant
Excited to work with you and the Dept! Challenging times but science remains truly thrilling!
thanks for your kindness, support, and friendship
At JHU, our team will work on the circuit / algorithmic basis of intelligence & cognition, with attention to their malfunction in disease. We are looking for new team members with experience in circuit neuroscience, biology, or machine intelligence. Please DM if u are interested.
Some professional news : My team is moving to Johns Hopkins University this Summer. I am deeply grateful to Washington University for supporting us since 2014. It has been an amazing journey full of brilliant colleagues and friends.
Absolutely. But not “disorganized” either. Very particular pathways with likely somewhat dissociable learning rules (eg., timescales) supported by distinct cell types and modulators - that’s roughly my bet
New work!
How does perceptual novelty impact the value of (physical) rewards: what are the underlying algorithms and neural mechanisms?
The answers may help to construct smarter AIs and to understand how and why novelty seeking breaks in psychiatric disorders.
www.biorxiv.org/content/10.1...
First blue sky post is to celebrate! Incredibly proud of Dr Julia Pai. Fantastic defense and pioneering project on non-neuronal cells in Reinforcement Learning! Now almost off to her next chapter. Paper in prep!