Albert Albesa-González

The paper shows that rats flexibly shift working memory formats between egocentric and allocentric tasks, with different cortical circuits involved based on task structure.

This paper introduces a framework called Homeostatic Binary Networks that learns to represent overlapping memory patterns through recurrent dynamics and plasticity mechanisms.

The paper proposes a computational model where semantic vocabulary is shared between episodic and semantic memory, enhancing recall and compositional consolidation through replay mechanisms.

The paper develops a theoretical framework showing theta-band oscillations optimize the speed-precision trade-off in phase coding neurons, maximizing information rate within the theta band.

The paper introduces a new synaptic plasticity model that combines additive and multiplicative learning rules for filopodia and spines, showing improved selectivity and memory protection.