Marja‐Leena Linne

This paper introduces a new synaptic plasticity model that integrates short- and long-term dynamics, showing improved information capacity in recurrent neural networks.

This study develops a spiking network model of auditory novelty detection and shows how SCZ-related cellular changes impair mismatch negativity.

The paper integrates gene expression analysis with computational modeling to show region-specific energy metabolism dysregulation in schizophrenia, identifying key genes and metabolite changes in ACC and DLPFC.

The paper uses computational modeling to show schizophrenia-associated changes in ion-channel expression reduce delta-band power in neural simulations.

This paper develops a framework for simulating neuron-astrocyte interactions in large-scale neural networks, showing astrocytes drive synchronization in local neuronal groups.

The paper investigates how CACNA1C variants affect single-cell dynamics in computational models of cortical pyramidal cells, identifying altered calcium regulation and dendritic retraction in Timothy Syndrome type II.

The paper develops a computational model of GABAB receptor signaling to study pre- and postsynaptic mechanisms of neuronal inhibition and validates it using electrophysiological data.

The paper uses computational modeling and post-mortem gene expression data to show that schizophrenia-associated genes impair PKA-mediated LTP in GluR1-containing synapses, linking genetic factors to synaptic plasticity deficits.

This paper develops a mean-field model of neuronal populations incorporating ion-exchange mechanisms to simulate brain activity and validate its effects through in vitro experiments.

The paper develops a data-driven framework to model spiking neuronal networks and analyze how synaptic and cellular mechanisms influence network bursts in postnatal rat cortical cultures.

This paper introduces a model showing astrocytic calcium dynamics link neuronal activity to the BOLD signal, explaining key features of neurovascular coupling.