3 papers
cs.NE2024
Implementing engrams from a machine learning perspective: the relevance of a latent space
J Marco de Lucas
In our previous work, we proposed that engrams in the brain could be biologically implemented as autoencoders over recurrent neural networks. These autoencoders would comprise basi…
q-bio.NC2024
Implementing engrams from a machine learning perspective: XOR as a basic motif
Jesus Marco de Lucas, Maria Peña Fernandez, Lara Lloret Iglesias
We have previously presented the idea of how complex multimodal information could be represented in our brains in a compressed form, following mechanisms similar to those employed…
q-bio.NC2023
Implementing engrams from a machine learning perspective: matching for prediction
Jesus Marco de Lucas
Despite evidence for the existence of engrams as memory support structures in our brains, there is no consensus framework in neuroscience as to what their physical implementation m…