3 citations · 4 across the 4 of their papers we have counts for
4 papers
Prospective Coding and Path Integration Emerge as Equilibrium Solutions of Self-Organizing Neural Networks with Firing-Rate Adaptation
Facundo Emina, Emilio Kropff
Continuous Attractor Neural Networks (CANNs) traditionally rely on pre-wired recurrent connectivity to model spatial representations, path integration, and anticipatory dynamics. H…
Grid Alignment in Entorhinal Cortex
Bailu Si, Emilio Kropff, Alessandro Treves
The spatial responses of many of the cells recorded in all layers of rodent medial entorhinal cortex (mEC) show a triangular grid pattern, and once established might be based in pa…
Full solution for the storage of correlated memories in an autoassociative memory
Emilio Kropff
We complement our previous work [arxiv: 0707.0565] with the full (non diluted) solution describing the stable states of an attractor network that stores correlated patterns of acti…
Uninformative memories will prevail: the storage of correlated representations and its consequences
Emilio Kropff, Alessandro Treves
Autoassociative networks were proposed in the 80's as simplified models of memory function in the brain, using recurrent connectivity with hebbian plasticity to store patterns of n…