A conductance-based network model shows that the fraction of inhibitory synaptic conductance driving chloride influx organizes seizures into distinct pre-ictal, tonic, and clonic stages with characteristic dynamics.
Chaos shapes transient synchrony activi- ties and switchings in the excitatory-inhibitory networks
2 Pith papers cite this work. Polarity classification is still indexing.
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Leaky RNNs improve grid-cell-like representations and path-integration accuracy by acting as a low-pass filter that stabilizes dynamics against noise.
citing papers explorer
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Role of chloride concentration in modulating seizure transitions in excitatory and inhibitory networks
A conductance-based network model shows that the fraction of inhibitory synaptic conductance driving chloride influx organizes seizures into distinct pre-ictal, tonic, and clonic stages with characteristic dynamics.
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Impact of leaky dynamics on predictive path integration accuracy in recurrent neural networks
Leaky RNNs improve grid-cell-like representations and path-integration accuracy by acting as a low-pass filter that stabilizes dynamics against noise.