Modeling Neural Adaptation in the Medial Temporal Lobe

This project investigates the neural mechanisms underlying adaptation in the human medial temporal lobe using biologically plausible recurrent spiking neural networks. The resulting model, which combines adaptive exponential integrate-and-fire neurons with synaptic plasticity, reproduces experimentally observed adaptation effects and demonstrates that the geometry of semantic input representations critically shapes the magnitude and temporal profile of neural adaptation.

Preprint 

• D. Bartolini, M. Bellezza, A. Palma, A. Frosini, and V. Pelletier. Remembering like a brain: A bio-inspired associative memory model integrating Hodgkin-Huxley dynamics and modular network architecture. Research Square Preprint, Nov. 2025, https://doi.org/10.21203/rs.3.rs-7903733/v1