Júlia V. Gallinaro

The paper presents a computational model where synaptic weights correlate with presynaptic selectivity, improving decoding of stimuli compared to maximum likelihood inference.

The paper identifies multi-synaptic boutons (MSBs) in CA1 hippocampal connections, which show reduced variation in synaptic properties and may support network synchrony.

This paper shows that homeostatic plasticity alone can form stable memory engrams in recurrent neural networks through structural remodeling and distributed storage.

The paper uses a computational model to study how silent assemblies form in a spiking neuron network with excitatory and inhibitory plasticity, finding that spiking irregularity encodes memory.

The paper studies the time course of homeostatic structural plasticity in mouse anterior cingulate cortex following optogenetic stimulation, showing dynamic changes in neural activity and morphology.

This paper models how tDCS induces network remodeling through synaptic plasticity, showing that focal and repetitive stimulation enhances cell assembly formation.