Robert Lindroos

Local, calcium- and reward-based synaptic learning rule that enhances dendritic nonlinearities can solve the nonlinear feature binding problem

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.

Elusive scents: neurocomputational mechanisms of verbal omissions in free odor naming

The paper proposes a computational model to explain odor naming omissions by linking Bayesian-Hebbian learning to linguistic ambiguity in odor-label associations.