Harel Z. Shouval

The paper shows that noisy spiking networks can approximate integration through random connectivity and noise, validated by experimental results on tactile decision-making.

The paper investigates how KIBRA-PKMζ interactions sustain long-term memory despite molecular turnover by forming oligomers that continuously incorporate new molecules.

The paper proposes a negative-feedback theory for memory maintenance through KIBRA-PKMζ interactions and validates it with two models showing bistability in synaptic states.

This paper introduces a new theoretical framework, FLEX, which challenges the TD learning model by proposing flexible temporal representations for reward prediction and demonstrates its feasibility through a biophysically plausible model.

This study investigates the conditions for synaptic specificity during memory maintenance by simulating protein dynamics in dendritic spines.

This paper introduces a biophysically realistic neural network model that learns and recalls spatiotemporal sequences using modular architecture and eligibility trace learning rules.

The paper develops a mathematical model to analyze how behavioral time scale plasticity affects place fields in the hippocampus, showing how synaptic eligibility traces and instructive signals lead to fixed points in place field dynamics.

This study investigates network dynamics in Broca’s area during word production, finding parallel network interactions and specific inter-regional couplings during lexical retrieval and selection.