Heterosynaptic Plasticity Determines the Set-Point for Cortical Excitatory-Inhibitory Balance

Field, Rachel E.; D'Amour, James A; Tremblay, Robin; Miehl, Christoph; Rudy, Bernardo; Gjorgjieva, Julijana; Froemke, Robert C.

doi:10.2139/ssrn.3219292

Cited by 3 publications

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“…Our model included biologically-motivated and experimentally-constrained excitatory and inhibitory synaptic STDP. Excitatory-to-excitatory synapses were modified by classic pairwise Hebbian homosynaptic plasticity 36,37 , and inhibitory-to-excitatory synapses were modified by a homosynaptic rule which strengthens synapses when units fire synchronously regardless of order [38][39][40][41] We found that with STDP the spiking responses of individual network units closely approximated the distribution of firing rate modulations observed experimentally in the auditory cortex in vivo (Fig. 2e; p = 0.27, Kolmogorov-Smirnov test).…”

Section: A Spiking Rnn Model Incorporating Stdp Rules Captures In Viv...supporting

confidence: 63%

Contributions and synaptic basis of diverse cortical neuron responses to task performance

Insanally

Albanna

Toth

et al. 2022

Preprint

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Neuronal responses during behavior are diverse, ranging from highly reliable 'classical' responses to irregular or seemingly-random 'non-classically responsive' firing. While a continuum of response properties is frequently observed across neural systems, little is known about the synaptic origins and contributions of diverse response profiles to network function, perception, and behavior. Here we use a task-performing, spiking recurrent neural network model incorporating spike-timingdependent plasticity that captures heterogeneous responses measured from auditory cortex of behaving rodents. Classically responsive and non-classically responsive model units contributed to task performance via output and recurrent connections, respectively. Excitatory and inhibitory plasticity independently shaped spiking responses and task performance. Local patterns of synaptic inputs predicted spiking response properties of network units as well as the responses of auditory cortical neurons from in vivo whole-cell recordings during behavior. Thus a diversity of neural response profiles emerges from synaptic plasticity rules with distinctly important functions for network performance.

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Section: A Spiking Rnn Model Incorporating Stdp Rules Captures In Viv...supporting

confidence: 63%

Contributions and synaptic basis of diverse cortical neuron responses to task performance

Insanally

Albanna

Toth

et al. 2022

Preprint

Self Cite

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“…In mature cortical circuits, these interneuron subtypes are involved in disinhibition during locomotion and learning (Abs et al, 2018;Adler et al, 2019;Fu et al, 2014;Letzkus et al, 2011;Niell and Stryker, 2010), response reversal during top-down modulation (Dipoppa et al, 2018;Fu et al, 2014;Garcia del Molino et al, 2017;Keller et al, 2020;Pakan et al, 2016), and shown to affect surround suppression (Adesnik et al, 2012;Ayaz et al, 2013;Litwin-Kumar et al, 2016;Ozeki et al, 2009) and excitatory tuning (Atallah et al, 2012;Lee et al, 2012;Wilson et al, 2018). Inhibitory synapses are plastic (D'amour and Froemke, 2015;Field et al, 2020); however, we still do not understand how the plasticity of connections among the different interneuron subtypes and excitatory neurons shapes circuit dynamics and computations. Synaptic plasticity in cortical circuits is particularly prominent in development and young adulthood during so-called critical periods (Hensch, 2005).…”

Section: Introductionmentioning

confidence: 99%

Interneuron subtypes enable independent modulation of excitatory and inhibitory firing rates after sensory deprivation

Richter

Gjorgjieva

2021

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Diverse interneuron subtypes determine how cortical circuits process sensory information depending on their connectivity. Sensory deprivation experiments are ideally suited to unravel the plasticity mechanisms which shape circuit connectivity, but have yet to consider the role of different inhibitory subtypes. We investigate how synaptic changes due to monocular deprivation affect the firing rate dynamics in a microcircuit network model of the visual cortex. We demonstrate that, in highly recurrent networks, deprivation-induced plasticity generates fundamentally different activity changes depending on interneuron composition. Considering parvalbumin-positive (PV+) and somatostatin-positive (SST+) interneuron subtypes can capture the experimentally observed independent modulation of excitatory and inhibitory activity during sensory deprivation when SST+ feedback is sufficiently strong. Our model also applies to whisker deprivation in the somatosensory cortex revealing that these mechanisms are general across sensory cortices. Therefore, we provide a mechanistic explanation for the differential role of interneuron subtypes in regulating cortical dynamics during deprivation-induced plasticity.

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“…In contrast to other cells in the body responding to external biochemical signals that may activate membrane receptors and increase intracellular signaling to a steady-state equilibrium, transcriptional networks in neurons are being modulated dynamically by temporally varying action potential firing and not driven to a steady state. Neuronal circuits must maintain a balanced level of excitation and inhibition to keep each neuron within a homeostatic range in which information can be conveyed by increases and decreases in action potential firing rates (Field and others 2020). Such dynamics within a strict homeostatic range may not alter the abundance of a gene transcript significantly in neurons.…”

Section: Introductionmentioning

confidence: 99%

Activity-Dependent Gene Expression in Neurons

Lee

Fields

2020

Neuroscientist

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The function of the nervous system in conveying and processing information necessary to interact with the environment confers unique aspects on how the expression of genes in neurons is regulated. Three salient factors are that (1) neurons are the largest and among the most morphologically complex of all cells, with strict polarity, subcellular compartmentation, and long-distant transport of gene products, signaling molecules, and other materials; (2) information is coded in the temporal firing pattern of membrane depolarization; and (3) neurons must maintain a stable homeostatic level of activation to function so stimuli do not normally drive intracellular signaling to steady state. Each of these factors can require special methods of analysis differing from approaches used in non-neuronal cells. This review considers these three aspects of neuronal gene expression and the current approaches being used to analyze these special features of how the neuronal transcriptome is modulated by action potential firing.

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Heterosynaptic Plasticity Determines the Set-Point for Cortical Excitatory-Inhibitory Balance

Cited by 3 publications

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Contributions and synaptic basis of diverse cortical neuron responses to task performance

Contributions and synaptic basis of diverse cortical neuron responses to task performance

Interneuron subtypes enable independent modulation of excitatory and inhibitory firing rates after sensory deprivation

Activity-Dependent Gene Expression in Neurons

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