Excited to share our latest story! We found disentangled memory representations in the hippocampus that generalized across time and environments, despite the seemingly random drift and remapping of single cells. This code enabled the transfer of prior knowledge to solve new tasks

RT @_vitorLdS: Im pleased to share our new work, “Spatio-temporal organization of network activity patterns in the hippocampus”, now out in….

Join millions who have switched to Grok.

RT @AdamEzraCohen: I wrote an Op-Ed about the government's attacks on Harvard. Please share with anybody who thinks these attacks help any….

RT @klingensteinorg: Thank you Antonio Fernandez Ruiz, PhD (@antferrui) and Robert Hill, PhD (@bobalhill) for presenting their research at….

RT @EmilyAeryJones: I'm hiring a lab tech! If you know any talented college seniors or recent grads who'd enjoy doing cool neuroscience in….

RT @lisa_giocomo: Please spread the word! This is a great effort to improve communication of science benefits and discoveries - they are lo….

Very cool work from our neighbor @kwanalexc on the neural mechanisms of psilocybin action.

RT @BarnaDudok: We are recruiting a postdoc - if you are looking for the next step after finishing your PhD, and interested in interneurons….

RT @_TheTransmitter: Explore the newly launched Early-Career Neuroscientists Resource Center, designed to help you navigate the field with….

This was only possible due to the work of an amazing team: first authors @hongyu_chang and Wenbo Tang, with @canliu18 , Salma Perez, Willian Zheng, Jaehyo Park. And of course Azahara Oliva 😍.

We believe that these findings advance a new framework to explain how the hippocampus achieves rapid generalization while also preserving the specificity of individual experiences. Check out the preprint for many more details:

We show that place cell representational drift and remapping are not random at the population level and supported by dedicated circuit mechanisms. This enabled the generalization of task variables (task structure, choice, time) across environments.

We found that the hippocampus supports rapid generalization in mice by generating disentangled memory representations, where different aspects of experience are encoded independently. These low-dimensional population dynamics evolved with learning.

Intelligent behavior involves generalizing from experience and applying prior knowledge to new situations. Traditional models attribute this to gradual learning in the cortex. However, such a slow process can't account for animals’ rapid generalization from limited experience

RT @CornellNBB: NBB Seminar Series – Albert Lee, Harvard University; March 13, 2025; 12:30 pm – 1:30 pm - Biotech G01; "Hippocampal represe….

RT @BrielleRyan: Great turnout in Boston, come join us!!!. #StandUpForScience #StandUpForScienceBoston

RT @_TheTransmitter: We must learn to showcase the practical significance of basic research, demonstrating how seemingly arcane investigati….

RT @MeghaSehgal_: This assault on science should not be acceptable to anyone, and it won't go away unless we make it go away. Stand up for….

RT @JulieCKiefer: Hey Salt Lake! .Come join us at the 2025 Utah March for Science on Friday March 7th at the Capitol from 12-1. Spread the….

RT @stephaniehicks: Friends, I am at a loss of words for how devastating it would be to lose the entire intramural #NIH program. Some of th….