Daniel Trpevski

This paper introduces a local inhibitory plasticity rule that controls neuronal firing rate and supralinear dendritic integration in striatal projection neurons.

The paper shows metaplasticity allows selective expression of LTP or LTD in striatal projection neurons by modulating two calcium thresholds during learning.

This paper introduces a local synaptic learning rule in striatal projection neurons that solves the nonlinear feature binding problem through dendritic nonlinearities and calcium-based mechanisms.

The paper introduces a modular workflow for building, analyzing, and parameter estimating biochemical models, enhancing interoperability and reusability across different simulators and formats.

The paper uses simulations to show that the inactive ternary complex of AC5, Golf, and Gi enables synergistic cAMP production in response to coincident neuromodulatory signals.