Balanced Excitation and Inhibition are Required for High-Capacity, Noise-Robust Neuronal Selectivity

@article{Rubin2017BalancedEA,
  title={Balanced Excitation and Inhibition are Required for High-Capacity, Noise-Robust Neuronal Selectivity},
  author={Ran Rubin and L. F. Abbott and Haim Sompolinsky},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  year={2017},
  volume={114 44},
  pages={
          E9366-E9375
        }
}
Neurons and networks in the cerebral cortex must operate reliably despite multiple sources of noise. To evaluate the impact of both input and output noise, we determine the robustness of single-neuron stimulus selective responses, as well as the robustness of attractor states of networks of neurons performing memory tasks. We find that robustness to output noise requires synaptic connections to be in a balanced regime in which excitation and inhibition are strong and largely cancel each other… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 77 references

Efficient associative memory storage in cortical circuits of inhibitory and excitatory neurons.

Proceedings of the National Academy of Sciences of the United States of America • 2012
View 10 Excerpts
Highly Influenced

The Nature of Statistical Learning Theory

Statistics for Engineering and Information Science • 2000
View 7 Excerpts
Highly Influenced

LTP of GABAergic synapses in the ventral tegmental area and beyond.

The Journal of physiology • 2008
View 4 Excerpts
Highly Influenced

A Balanced Memory Network

PLoS Computational Biology • 2007
View 4 Excerpts
Highly Influenced

Course 9 - Irregular Activity in Large Networks of Neurons in Les Houches

C van Vreeswijk, H Sompolinsky
Methods and Models in Neurophysics, • 2005
View 4 Excerpts
Highly Influenced

Perceptron learning with sign-constrained weights

DJ Amit, KYM Wong, C Campbell
Journal of Physics A: Mathematical and General • 1989
View 4 Excerpts
Highly Influenced

The interaction space of neural networks with sign-constrained synapses

DJ Amit, C Campbell, Wong
KYM • 1989
View 5 Excerpts
Highly Influenced

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