Born from research, AI for human memory
Publication
TNNLS
February 2025
Inspired by how biological brains learn, this work introduces novel replay-based algorithms to tackle the problem of continual learning.
Publication
Nature Human Behavior
October 2024
Sparsity of representations emerges as an intriguing algorithm to ameliorate the problem of continual learning.
Publication
Cell Reports
November 2023
The authors discovered a novel mechanism by which neurons tile temporal space to encode memories.
Publication
ICLR
March 2023
Sparsity of representations emerges as an intriguing algorithm to ameliorate the problem of continual learning.
Publication
NeurIPS
September 2022
Performance in complex tasks requiring memory is improved by incorporating into algorithms human-like inductive biases and training diets.
Publication
Scientific Reports
July 2022
The right amount of forgetting and information replay can help counter capacity limitations in memory.
Publication
Nature Neuroscience
March 2022
This research elucidates how the brain parcelates continuous experience into discrete events that form the basic structure of memories.
Publication
Scientific Reports
November 2018
This work introduces machine learning models to predict whether specific real world events will be remembered or not.
Publication
Scientific Reports
September 2016
This work introduces machine learning models to predict whether specific events within movies will be remembered or not.