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Gamma Oscillation by Synaptic Inhibition in a Hippocampal Interneuronal Network Model
It is demonstrated that large-scale network synchronization requires a critical (minimal) average number of synaptic contacts per cell, which is not sensitive to the network size, and that the GABAA synaptic transmission provides a suitable mechanism for synchronized gamma oscillations in a sparsely connected network of fast-spiking interneurons.
Probabilistic Decision Making by Slow Reverberation in Cortical Circuits
It is suggested that recurrent excitation mediated by NMDA receptors provides a candidate cellular mechanism for the slow time integration of sensory stimuli and the formation of categorical choices in a decision-making neocortical network.
Effects of Neuromodulation in a Cortical Network Model of Object Working Memory Dominated by Recurrent Inhibition
Several mechanisms that enhance the signal-to-noise ratio in working memory states could be implemented in the prefrontal cortex by dopaminergic projections from the midbrain, using a recurrent network model of object working memory.
Mechanisms of gamma oscillations.
The cellular and synaptic mechanisms underlying gamma oscillations are reviewed and empirical questions and controversial conceptual issues are outlined, finding that gamma-band rhythmogenesis is inextricably tied to perisomatic inhibition.
Neurophysiological and computational principles of cortical rhythms in cognition.
A plethora of studies will be reviewed on the involvement of long-distance neuronal coherence in cognitive functions such as multisensory integration, working memory, and selective attention, and implications of abnormal neural synchronization are discussed as they relate to mental disorders like schizophrenia and autism.
A Recurrent Network Mechanism of Time Integration in Perceptual Decisions
This picture provides a rigorous and quantitative explanation for the dependence of performance and response time on the degree of task difficulty, and the reason for which reaction times are longer in error trials than in correct trials as observed in the monkey experiment.
What determines the frequency of fast network oscillations with irregular neural discharges? I. Synaptic dynamics and excitation-inhibition balance.
This work shows how to derive quantitatively the coherent oscillation frequency for a randomly connected network of leaky integrate-and-fire neurons with realistic synaptic parameters.
The importance of mixed selectivity in complex cognitive tasks
It is shown that mixed selectivity neurons encode distributed information about all task-relevant aspects, so that each aspect can be decoded from the population of neurons even when single-cell selectivity to that aspect is eliminated.
Synaptic reverberation underlying mnemonic persistent activity
  • Xiao-Jing Wang
  • Medicine, Psychology
    Trends in Neurosciences
  • 1 August 2001
A review of experimental and modeling work has begun to test the reverberation hypothesis at the cellular level, and insights and predictions from biophysically based models are discussed.
Cellular and network mechanisms of slow oscillatory activity (<1 Hz) and wave propagations in a cortical network model.
A biophysical network model for the slow oscillations observed in vitro that reproduces the single neuron behaviors and collective network firing patterns in control as well as under pharmacological manipulations is presented and is shown to switch the network to tonic firing, thus simulating a transition to the waking state.