---
_id: '7656'
abstract:
- lang: eng
  text: 'We propose that correlations among neurons are generically strong enough
    to organize neural activity patterns into a discrete set of clusters, which can
    each be viewed as a population codeword. Our reasoning starts with the analysis
    of retinal ganglion cell data using maximum entropy models, showing that the population
    is robustly in a frustrated, marginally sub-critical, or glassy, state. This leads
    to an argument that neural populations in many other brain areas might share this
    structure. Next, we use latent variable models to show that this glassy state
    possesses well-defined clusters of neural activity. Clusters have three appealing
    properties: (i) clusters exhibit error correction, i.e., they are reproducibly
    elicited by the same stimulus despite variability at the level of constituent
    neurons; (ii) clusters encode qualitatively different visual features than their
    constituent neurons; and (iii) clusters can be learned by downstream neural circuits
    in an unsupervised fashion. We hypothesize that these properties give rise to
    a “learnable” neural code which the cortical hierarchy uses to extract increasingly
    complex features without supervision or reinforcement.'
article_number: '20'
article_processing_charge: No
article_type: original
author:
- first_name: Michael J.
  full_name: Berry, Michael J.
  last_name: Berry
- first_name: Gašper
  full_name: Tkačik, Gašper
  id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
  last_name: Tkačik
  orcid: 0000-0002-6699-1455
citation:
  ama: 'Berry MJ, Tkačik G. Clustering of neural activity: A design principle for
    population codes. <i>Frontiers in Computational Neuroscience</i>. 2020;14. doi:<a
    href="https://doi.org/10.3389/fncom.2020.00020">10.3389/fncom.2020.00020</a>'
  apa: 'Berry, M. J., &#38; Tkačik, G. (2020). Clustering of neural activity: A design
    principle for population codes. <i>Frontiers in Computational Neuroscience</i>.
    Frontiers. <a href="https://doi.org/10.3389/fncom.2020.00020">https://doi.org/10.3389/fncom.2020.00020</a>'
  chicago: 'Berry, Michael J., and Gašper Tkačik. “Clustering of Neural Activity:
    A Design Principle for Population Codes.” <i>Frontiers in Computational Neuroscience</i>.
    Frontiers, 2020. <a href="https://doi.org/10.3389/fncom.2020.00020">https://doi.org/10.3389/fncom.2020.00020</a>.'
  ieee: 'M. J. Berry and G. Tkačik, “Clustering of neural activity: A design principle
    for population codes,” <i>Frontiers in Computational Neuroscience</i>, vol. 14.
    Frontiers, 2020.'
  ista: 'Berry MJ, Tkačik G. 2020. Clustering of neural activity: A design principle
    for population codes. Frontiers in Computational Neuroscience. 14, 20.'
  mla: 'Berry, Michael J., and Gašper Tkačik. “Clustering of Neural Activity: A Design
    Principle for Population Codes.” <i>Frontiers in Computational Neuroscience</i>,
    vol. 14, 20, Frontiers, 2020, doi:<a href="https://doi.org/10.3389/fncom.2020.00020">10.3389/fncom.2020.00020</a>.'
  short: M.J. Berry, G. Tkačik, Frontiers in Computational Neuroscience 14 (2020).
date_created: 2020-04-12T22:00:40Z
date_published: 2020-03-13T00:00:00Z
date_updated: 2023-08-18T10:30:11Z
day: '13'
ddc:
- '570'
department:
- _id: GaTk
doi: 10.3389/fncom.2020.00020
external_id:
  isi:
  - '000525543200001'
  pmid:
  - '32231528'
file:
- access_level: open_access
  checksum: 2b1da23823eae9cedbb42d701945b61e
  content_type: application/pdf
  creator: dernst
  date_created: 2020-04-14T12:20:39Z
  date_updated: 2020-07-14T12:48:01Z
  file_id: '7659'
  file_name: 2020_Frontiers_Berry.pdf
  file_size: 4082937
  relation: main_file
file_date_updated: 2020-07-14T12:48:01Z
has_accepted_license: '1'
intvolume: '        14'
isi: 1
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
pmid: 1
publication: Frontiers in Computational Neuroscience
publication_identifier:
  eissn:
  - '16625188'
publication_status: published
publisher: Frontiers
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Clustering of neural activity: A design principle for population codes'
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 14
year: '2020'
...