---
_id: '8017'
abstract:
- lang: eng
  text: nhibitory neurons, although relatively few in number, exert powerful control
    over brain circuits. They stabilize network activity in the face of strong feedback
    excitation and actively engage in computations. Recent studies reveal the importance
    of a precise balance of excitation and inhibition in neural circuits, which often
    requires exquisite fine-tuning of inhibitory connections. We review inhibitory
    synaptic plasticity and its roles in shaping both feedforward and feedback control.
    We discuss the necessity of complex, codependent plasticity mechanisms to build
    nontrivial, functioning networks, and we end by summarizing experimental evidence
    of such interactions.
article_processing_charge: No
article_type: original
author:
- first_name: Guillaume
  full_name: Hennequin, Guillaume
  last_name: Hennequin
- first_name: Everton J.
  full_name: Agnes, Everton J.
  last_name: Agnes
- first_name: Tim P
  full_name: Vogels, Tim P
  id: CB6FF8D2-008F-11EA-8E08-2637E6697425
  last_name: Vogels
  orcid: 0000-0003-3295-6181
citation:
  ama: 'Hennequin G, Agnes EJ, Vogels TP. Inhibitory plasticity: Balance, control,
    and codependence. <i>Annual Review of Neuroscience</i>. 2017;40(1):557-579. doi:<a
    href="https://doi.org/10.1146/annurev-neuro-072116-031005">10.1146/annurev-neuro-072116-031005</a>'
  apa: 'Hennequin, G., Agnes, E. J., &#38; Vogels, T. P. (2017). Inhibitory plasticity:
    Balance, control, and codependence. <i>Annual Review of Neuroscience</i>. Annual
    Reviews. <a href="https://doi.org/10.1146/annurev-neuro-072116-031005">https://doi.org/10.1146/annurev-neuro-072116-031005</a>'
  chicago: 'Hennequin, Guillaume, Everton J. Agnes, and Tim P Vogels. “Inhibitory
    Plasticity: Balance, Control, and Codependence.” <i>Annual Review of Neuroscience</i>.
    Annual Reviews, 2017. <a href="https://doi.org/10.1146/annurev-neuro-072116-031005">https://doi.org/10.1146/annurev-neuro-072116-031005</a>.'
  ieee: 'G. Hennequin, E. J. Agnes, and T. P. Vogels, “Inhibitory plasticity: Balance,
    control, and codependence,” <i>Annual Review of Neuroscience</i>, vol. 40, no.
    1. Annual Reviews, pp. 557–579, 2017.'
  ista: 'Hennequin G, Agnes EJ, Vogels TP. 2017. Inhibitory plasticity: Balance, control,
    and codependence. Annual Review of Neuroscience. 40(1), 557–579.'
  mla: 'Hennequin, Guillaume, et al. “Inhibitory Plasticity: Balance, Control, and
    Codependence.” <i>Annual Review of Neuroscience</i>, vol. 40, no. 1, Annual Reviews,
    2017, pp. 557–79, doi:<a href="https://doi.org/10.1146/annurev-neuro-072116-031005">10.1146/annurev-neuro-072116-031005</a>.'
  short: G. Hennequin, E.J. Agnes, T.P. Vogels, Annual Review of Neuroscience 40 (2017)
    557–579.
date_created: 2020-06-25T12:55:53Z
date_published: 2017-07-01T00:00:00Z
date_updated: 2021-01-12T08:16:32Z
day: '01'
doi: 10.1146/annurev-neuro-072116-031005
extern: '1'
external_id:
  pmid:
  - '28598717'
intvolume: '        40'
issue: '1'
language:
- iso: eng
month: '07'
oa_version: None
page: 557-579
pmid: 1
publication: Annual Review of Neuroscience
publication_identifier:
  issn:
  - 0147-006X
  - 1545-4126
publication_status: published
publisher: Annual Reviews
quality_controlled: '1'
status: public
title: 'Inhibitory plasticity: Balance, control, and codependence'
type: journal_article
user_id: D865714E-FA4E-11E9-B85B-F5C5E5697425
volume: 40
year: '2017'
...
---
_id: '8029'
abstract:
- lang: eng
  text: 'Neural network modeling is often concerned with stimulus-driven responses,
    but most of the activity in the brain is internally generated. Here, we review
    network models of internally generated activity, focusing on three types of network
    dynamics: (a) sustained responses to transient stimuli, which provide a model
    of working memory; (b) oscillatory network activity; and (c) chaotic activity,
    which models complex patterns of background spiking in cortical and other circuits.
    We also review propagation of stimulus-driven activity through spontaneously active
    networks. Exploring these aspects of neural network dynamics is critical for understanding
    how neural circuits produce cognitive function.'
article_processing_charge: No
article_type: review
author:
- first_name: Tim P
  full_name: Vogels, Tim P
  id: CB6FF8D2-008F-11EA-8E08-2637E6697425
  last_name: Vogels
  orcid: 0000-0003-3295-6181
- first_name: Kanaka
  full_name: Rajan, Kanaka
  last_name: Rajan
- first_name: L.F.
  full_name: Abbott, L.F.
  last_name: Abbott
citation:
  ama: Vogels TP, Rajan K, Abbott LF. Neural network dynamics. <i>Annual Review of
    Neuroscience</i>. 2005;28(1):357-376. doi:<a href="https://doi.org/10.1146/annurev.neuro.28.061604.135637">10.1146/annurev.neuro.28.061604.135637</a>
  apa: Vogels, T. P., Rajan, K., &#38; Abbott, L. F. (2005). Neural network dynamics.
    <i>Annual Review of Neuroscience</i>. Annual Reviews. <a href="https://doi.org/10.1146/annurev.neuro.28.061604.135637">https://doi.org/10.1146/annurev.neuro.28.061604.135637</a>
  chicago: Vogels, Tim P, Kanaka Rajan, and L.F. Abbott. “Neural Network Dynamics.”
    <i>Annual Review of Neuroscience</i>. Annual Reviews, 2005. <a href="https://doi.org/10.1146/annurev.neuro.28.061604.135637">https://doi.org/10.1146/annurev.neuro.28.061604.135637</a>.
  ieee: T. P. Vogels, K. Rajan, and L. F. Abbott, “Neural network dynamics,” <i>Annual
    Review of Neuroscience</i>, vol. 28, no. 1. Annual Reviews, pp. 357–376, 2005.
  ista: Vogels TP, Rajan K, Abbott LF. 2005. Neural network dynamics. Annual Review
    of Neuroscience. 28(1), 357–376.
  mla: Vogels, Tim P., et al. “Neural Network Dynamics.” <i>Annual Review of Neuroscience</i>,
    vol. 28, no. 1, Annual Reviews, 2005, pp. 357–76, doi:<a href="https://doi.org/10.1146/annurev.neuro.28.061604.135637">10.1146/annurev.neuro.28.061604.135637</a>.
  short: T.P. Vogels, K. Rajan, L.F. Abbott, Annual Review of Neuroscience 28 (2005)
    357–376.
date_created: 2020-06-25T13:13:11Z
date_published: 2005-07-21T00:00:00Z
date_updated: 2021-01-12T08:16:37Z
day: '21'
doi: 10.1146/annurev.neuro.28.061604.135637
extern: '1'
external_id:
  pmid:
  - '16022600'
intvolume: '        28'
issue: '1'
language:
- iso: eng
month: '07'
oa_version: None
page: 357-376
pmid: 1
publication: Annual Review of Neuroscience
publication_identifier:
  issn:
  - 0147-006X
  - 1545-4126
publication_status: published
publisher: Annual Reviews
quality_controlled: '1'
status: public
title: Neural network dynamics
type: journal_article
user_id: D865714E-FA4E-11E9-B85B-F5C5E5697425
volume: 28
year: '2005'
...
---
_id: '6153'
abstract:
- lang: eng
  text: A current challenge in neuroscience is to bridge the gaps between genes, proteins,
    neurons, neural circuits, and behavior in a single animal model. The nematode
    Caenorhabditis elegans has unique features that facilitate this synthesis. Its
    nervous system includes exactly 302 neurons, and their pattern of synaptic connectivity
    is known. With only five olfactory neurons, C. elegans can dynamically respond
    to dozens of attractive and repellant odors. Thermosensory neurons enable the
    nematode to remember its cultivation temperature and to track narrow isotherms.
    Polymodal sensory neurons detect a wide range of nociceptive cues and signal robust
    escape responses. Pairing of sensory stimuli leads to long-lived changes in behavior
    consistent with associative learning. Worms exhibit social behaviors and complex
    ultradian rhythms driven by Ca2+ oscillators with clock-like properties. Genetic
    analysis has identified gene products required for nervous system function and
    elucidated the molecular and neural bases of behaviors.
article_processing_charge: No
article_type: original
author:
- first_name: Mario
  full_name: de Bono, Mario
  id: 4E3FF80E-F248-11E8-B48F-1D18A9856A87
  last_name: de Bono
  orcid: 0000-0001-8347-0443
- first_name: Andres
  full_name: Villu Maricq, Andres
  last_name: Villu Maricq
citation:
  ama: de Bono M, Villu Maricq A. Neuronal substrates of complex behaviors in C. elegans.
    <i>Annual Review of Neuroscience</i>. 2005;28:451-501. doi:<a href="https://doi.org/10.1146/annurev.neuro.27.070203.144259">10.1146/annurev.neuro.27.070203.144259</a>
  apa: de Bono, M., &#38; Villu Maricq, A. (2005). Neuronal substrates of complex
    behaviors in C. elegans. <i>Annual Review of Neuroscience</i>. Annual Reviews.
    <a href="https://doi.org/10.1146/annurev.neuro.27.070203.144259">https://doi.org/10.1146/annurev.neuro.27.070203.144259</a>
  chicago: Bono, Mario de, and Andres Villu Maricq. “Neuronal Substrates of Complex
    Behaviors in C. Elegans.” <i>Annual Review of Neuroscience</i>. Annual Reviews,
    2005. <a href="https://doi.org/10.1146/annurev.neuro.27.070203.144259">https://doi.org/10.1146/annurev.neuro.27.070203.144259</a>.
  ieee: M. de Bono and A. Villu Maricq, “Neuronal substrates of complex behaviors
    in C. elegans,” <i>Annual Review of Neuroscience</i>, vol. 28. Annual Reviews,
    pp. 451–501, 2005.
  ista: de Bono M, Villu Maricq A. 2005. Neuronal substrates of complex behaviors
    in C. elegans. Annual Review of Neuroscience. 28, 451–501.
  mla: de Bono, Mario, and Andres Villu Maricq. “Neuronal Substrates of Complex Behaviors
    in C. Elegans.” <i>Annual Review of Neuroscience</i>, vol. 28, Annual Reviews,
    2005, pp. 451–501, doi:<a href="https://doi.org/10.1146/annurev.neuro.27.070203.144259">10.1146/annurev.neuro.27.070203.144259</a>.
  short: M. de Bono, A. Villu Maricq, Annual Review of Neuroscience 28 (2005) 451–501.
date_created: 2019-03-21T09:31:29Z
date_published: 2005-07-21T00:00:00Z
date_updated: 2021-01-12T08:06:24Z
day: '21'
doi: 10.1146/annurev.neuro.27.070203.144259
extern: '1'
external_id:
  pmid:
  - '16022603'
intvolume: '        28'
language:
- iso: eng
month: '07'
oa_version: None
page: 451-501
pmid: 1
publication: Annual Review of Neuroscience
publication_identifier:
  issn:
  - 0147-006X
  - 1545-4126
publication_status: published
publisher: Annual Reviews
quality_controlled: '1'
status: public
title: Neuronal substrates of complex behaviors in C. elegans
type: journal_article
user_id: D865714E-FA4E-11E9-B85B-F5C5E5697425
volume: 28
year: '2005'
...