Computing and Stability in Cortical Networks

@article{Latham2004ComputingAS,
  title={Computing and Stability in Cortical Networks},
  author={Peter E. Latham and Sheila Nirenberg},
  journal={Neural Computation},
  year={2004},
  volume={16},
  pages={1385-1412}
}
Cortical neurons are predominantly excitatory and highly interconnected. In spite of this, the cortex is remarkably stable: normal brains do not exhibit the kind of runaway excitation one might expect of such a system. How does the cortex maintain stability in the face of this massive excitatory feedback? More importantly, how does it do so during computations, which necessarily involve elevated firing rates? Here we address these questions in the context of attractor networksnetworks that… CONTINUE READING

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