Alterations in neuromodulation or synaptic transmission in biophysical attractor network
models, as proposed by the dominant dopaminergic and glutamatergic theories of …

Computational neuroscience integrate-and-fire attractor network models can be used to
understand the factors that alter the stability of cortical networks in the face of noise caused …

Glutamatergic neurotransmission mediated by N-methyl-d-aspartate (NMDA) receptors is
vital for the cortical computations underlying cognition and might be disrupted in severe …

Excitation–inhibition balance (E/I balance) is a fundamental property of cortical
microcircuitry. Disruption of E/I balance in prefrontal cortex is hypothesized to underlie …

We propose a top-down approach to the symptoms of schizophrenia based on a statistical
dynamical framework. We show that a reduced depth in the basins of attraction of cortical …

Schizophrenia is increasingly recognized as a disorder of distributed neural dynamics, but
the molecular and genetic contributions are poorly understood. Recent work highlights a …

Schizophrenia is characterized by an abnormal resting state and default mode network brain
activity. However, despite intense study, the mechanisms linking default mode network …

Disturbed activity patterns in cortical networks contribute to the pathophysiology of
schizophrenia (SZ). Several lines of evidence implicate NMDA receptor hypofunction in SZ …

The functional optimization of neural ensembles is central to human higher cognitive
functions. When the functions through which neural activity is tuned fail to develop or break …

Dynamical brain state transitions are critical for flexible working memory but the network
mechanisms are incompletely understood. Here, we show that working memory …