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Attractor Dynamics in Networks with Learning Rules Inferred from In Vivo Data.

Publication ,  Journal Article
Pereira, U; Brunel, N
Published in: Neuron
July 11, 2018

The attractor neural network scenario is a popular scenario for memory storage in the association cortex, but there is still a large gap between models based on this scenario and experimental data. We study a recurrent network model in which both learning rules and distribution of stored patterns are inferred from distributions of visual responses for novel and familiar images in the inferior temporal cortex (ITC). Unlike classical attractor neural network models, our model exhibits graded activity in retrieval states, with distributions of firing rates that are close to lognormal. Inferred learning rules are close to maximizing the number of stored patterns within a family of unsupervised Hebbian learning rules, suggesting that learning rules in ITC are optimized to store a large number of attractor states. Finally, we show that there exist two types of retrieval states: one in which firing rates are constant in time and another in which firing rates fluctuate chaotically.

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Published In

Neuron

DOI

EISSN

1097-4199

Publication Date

July 11, 2018

Volume

99

Issue

1

Start / End Page

227 / 238.e4

Location

United States

Related Subject Headings

  • Temporal Lobe
  • Neuronal Plasticity
  • Neurology & Neurosurgery
  • Neural Networks, Computer
  • Memory
  • Learning
  • Association Learning
  • Animals
  • 5202 Biological psychology
  • 3209 Neurosciences
 

Citation

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Pereira, U., & Brunel, N. (2018). Attractor Dynamics in Networks with Learning Rules Inferred from In Vivo Data. Neuron, 99(1), 227-238.e4. https://doi.org/10.1016/j.neuron.2018.05.038
Pereira, Ulises, and Nicolas Brunel. “Attractor Dynamics in Networks with Learning Rules Inferred from In Vivo Data.Neuron 99, no. 1 (July 11, 2018): 227-238.e4. https://doi.org/10.1016/j.neuron.2018.05.038.
Pereira U, Brunel N. Attractor Dynamics in Networks with Learning Rules Inferred from In Vivo Data. Neuron. 2018 Jul 11;99(1):227-238.e4.
Pereira, Ulises, and Nicolas Brunel. “Attractor Dynamics in Networks with Learning Rules Inferred from In Vivo Data.Neuron, vol. 99, no. 1, July 2018, pp. 227-238.e4. Pubmed, doi:10.1016/j.neuron.2018.05.038.
Pereira U, Brunel N. Attractor Dynamics in Networks with Learning Rules Inferred from In Vivo Data. Neuron. 2018 Jul 11;99(1):227-238.e4.
Journal cover image

Published In

Neuron

DOI

EISSN

1097-4199

Publication Date

July 11, 2018

Volume

99

Issue

1

Start / End Page

227 / 238.e4

Location

United States

Related Subject Headings

  • Temporal Lobe
  • Neuronal Plasticity
  • Neurology & Neurosurgery
  • Neural Networks, Computer
  • Memory
  • Learning
  • Association Learning
  • Animals
  • 5202 Biological psychology
  • 3209 Neurosciences