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ABSTRACT A major goal in clinical neuroscience is to develop efficient treatments to prevent or minimize the loss of brain function caused by pathological decreases or increases of neuronal activity, which are hallmarks of a wide variety of neurological disorders. Interestingly, in some instances, the brain has evolved mechanisms to partially correct abnormal neuronal function. Understanding the adaptive mechanisms that restore brain function would not only provide insight into the functioning of the normal brain but also guide future approaches to ameliorate loss of brain function caused by disease or injury. We propose to start a research program to investigate the cellular and circuit mechanisms by which the brain maintains constant behavioral output, even when neuronal activity is naturally variable or it is perturbed. Our preliminary evidence with songbirds indicate that the brain circuits involved in song production demonstrate a high level of behavioral resilience both at short and long timescales. At the short timescale the patterns of firing of premotor neurons directly involved in song production vary from day to day, although there is no measurable variability in the song. At the long timescale, we genetically perturbed the activity of these premotor neurons and this caused a dramatic disruption of song. However, manipulated birds fully recovered from the perturbation, and were able to produce their original song after around 10 days. We will build on these results to explore the neuronal mechanisms that ensure behavioral resilience in a brain circuit involved in a complex behavior using gene delivery, optogenetics, in vivo functional imaging, behavioral analysis, and computational modelling.
期刊论文(11)
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会议论文
Printable microscale interfaces for long-term peripheral nerve mapping and precision control.
可打印的微型接口,用于长期周围神经测绘和精确控制。
DOI: 10.1038/s41467-020-18032-4
发表时间: 2020
期刊: Nature communications
影响因子: 16.6
作者: [Otchy,TimothyM, Michas,Christos, Lee,Blaire, Gopalan,Krithi, Nerurkar,Vidisha, Gleick,Jeremy, Semu,Dawit, Darkwa,Louis, Holinski,BradleyJ, Chew,DanielJ, White,AliceE, Gardner,TimothyJ]
通讯作者: Gardner,TimothyJ
Fast and flexible sequence induction in spiking neural networks via rapid excitability changes.
通过快速的兴奋性变化,在尖峰神经网络中进行快速灵活的序列诱导。
DOI: 10.7554/elife.44324
发表时间: 2019
期刊: eLife
影响因子: 7.7
作者: [Pang,Rich, Fairhall,AdrienneL]
通讯作者: Fairhall,AdrienneL
DOI: 10.7554/elife.63853
发表时间: 2022-01-20
期刊: eLife
影响因子: 7.7
作者: [Cohen Y, Nicholson DA, Sanchioni A, Mallaber EK, Skidanova V, Gardner TJ]
通讯作者: Gardner TJ
DOI: 10.1038/s41467-023-39152-7
发表时间: 2023-06-17
期刊: NATURE COMMUNICATIONS
影响因子: 16.6
作者: [Brown, Morgan A., Zappitelli, Kara M., Singh, Loveprit, Yuan, Rachel C., Bemrose, Melissa, Brogden, Valerie, Miller, David J., Smear, Matthew C., Cogan, Stuart F., Gardner, Timothy J.]
通讯作者: Gardner, Timothy J.
the self-tuning brain: cellular and circuit mechanisms of behavioral resilience
  • 批准号:
    10405344
  • 项目类别:
  • 资助金额:
    $11.89万
  • 财政年份:
    2021
  • 负责人:
    Adrienne L Fairhall
  • 依托单位:
Modeling and Theory
Data Science Resource Core
  • 批准号:
    9983235
  • 项目类别:
  • 资助金额:
    $26.78万
  • 财政年份:
    2018
  • 负责人:
    Adrienne L Fairhall
  • 依托单位:
Data Science Resource Core
  • 批准号:
    10456069
  • 项目类别:
  • 资助金额:
    $29.58万
  • 财政年份:
    2018
  • 负责人:
    Adrienne L Fairhall
  • 依托单位:
海外基金