Collective Behavior of Place and Non-place Neurons in the Hippocampal Network

@article{Meshulam2017CollectiveBO,
  title={Collective Behavior of Place and Non-place Neurons in the Hippocampal Network},
  author={Leenoy Meshulam and Jeffrey L Gauthier and Carlos D. Brody and David W. Tank and William Bialek},
  journal={Neuron},
  year={2017},
  volume={96},
  pages={1178-1191.e4}
}

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References

SHOWING 1-10 OF 69 REFERENCES

Path Integration and Cognitive Mapping in a Continuous Attractor Neural Network Model

TLDR
The model provides an explanation for a number of hitherto perplexing observations on hippocampal place fields, including doubling, vanishing, reshaping in distorted environments, acquiring directionality in a two-goal shuttling task, rapid formation in a novel environment, and slow rotation after disorientation.

Place cells and silent cells in the hippocampus of freely-behaving rats

  • L. ThompsonPJ Best
  • Biology, Psychology
    The Journal of neuroscience : the official journal of the Society for Neuroscience
  • 1989
TLDR
In complex information processing, such as the processing of spatial information by the hippocampus demonstrated here, neural silence may be as important a signal as neural activity.

Dynamical criticality in the collective activity of a population of retinal neurons.

TLDR
A novel approach to assess criticality that overcomes limitations of arbitrary order parameters, while encompassing and generalizing previous criteria, and takes into account the temporal dynamics of the activity greatly enhances the evidence for criticality.

Attractor neural networks storing multiple space representations: A model for hippocampal place fields

TLDR
A recurrent neural network model storing multiple spatial maps, or ``charts'', is analyzed, and results suggest a quantitative parallel between theories of hippocampal function in different animal species, such as primates and rodents.

Place cell discharge is extremely variable during individual passes of the rat through the firing field.

  • A. FentonR. Muller
  • Biology
    Proceedings of the National Academy of Sciences of the United States of America
  • 1998
TLDR
It is demonstrated here that firing is not nearly as reliable in the time domain as in the positional domain.

Development of the Hippocampal Cognitive Map in Preweanling Rats

TLDR
The results demonstrate the presence of three neuronal representations of space before extensive experience and show how they develop with age, providing experimental support for Kant's 200-year-old concept of space as an a priori faculty of the mind.

ASSOCIATIVE MEMORY AND HIPPOCAMPAL PLACE CELLS

TLDR
A network model for the CA3 area of the hippocampus is presented, which predicts that the place fields should be nonuniformly distributed, clustering in the places where the synaptic interactions between neurons is strongeest.

Hippocampal CA3 region predicts memory sequences: accounting for the phase precession of place cells.

TLDR
The general success of the model provides support for the idea that the hippocampus stores sequence information and makes predictions of expected positions during gamma-frequency recall.

The Architecture of Functional Interaction Networks in the Retina

TLDR
This work explored the architecture of maximum entropy models of the functional interaction networks underlying the response of large populations of retinal ganglion cells, in adult tiger salamander retina, responding to natural and artificial stimuli and demonstrated the existence of local network motifs in the interaction map of the retina.
...