Fred Henrik Hamker

This study uses a spiking neural network to show how direction selectivity in V1 simple cells arises from intercortical inhibition and temporal offsets in LGN inputs.

This paper demonstrates a multiscale co-simulation approach combining a spiking basal ganglia model with a whole-brain mean-field model to predict the effects of virtual deep brain stimulation in Parkinson's disease.

The paper shows inhibitory plasticity drives tuning diversity and contrast-invariant coding in a spiking network model of the primary visual cortex.

This paper uses a hierarchical neuro-computational model to explore how dopamine and striatal disinhibition contribute to enhanced habit formation in Tourette syndrome.

This paper proposes a neurocomputational model in LIP that explains both predictive remapping and lingering of attention during eye movements by linking them to a single recurrent neural circuit.