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Related Experiment Video

Updated: Feb 24, 2026

Single Synapse Indicators of Glutamate Release and Uptake in Acute Brain Slices from Normal and Huntington Mice

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Published on: March 11, 2020

Striatal Network Models of Huntington's Disease Dysfunction Phenotypes.

Pengsheng Zheng¹, James Kozloski¹

¹Computational Neuroscience and Multiscale Brain Modeling, Computational Biology Center, IBM Research Division, IBM T. J. Watson Research CenterNew York, NY, United States.

Frontiers in Computational Neuroscience

|August 12, 2017

Summary

We developed a network model of the striatum exhibiting "winnerless" dynamics, crucial for healthy brain function. This model also reveals how network changes, like those in Huntington's disease, can lead to unhealthy activity.

Keywords:

Huntington's disease STDP dynamics homeostatic plasticity medium spiny neuron network neurodegenerative striatum

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Last Updated: Feb 24, 2026

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Area of Science:

Computational neuroscience
Systems neuroscience

Background:

The striatum exhibits complex electrophysiological dynamics.
Striatal networks are typically sparse and unidirectionally connected.
Understanding striatal network function is key to neurological research.

Purpose of the Study:

To model striatal network dynamics and their relationship to neurological health.
To investigate the mechanisms underlying healthy "winnerless" dynamics.
To explore how disease-related perturbations affect network stability.

Main Methods:

Development of a computational network model of the striatum.
Simulation of sparse, unidirectionally connected inhibitory units.
Analysis of network dynamics under various conditions, including perturbations.

Main Results:

The model replicates healthy "winnerless" striatal dynamics.
Randomly initialized networks often exhibit unhealthy "winner-take-all" dynamics.
Network perturbations, mimicking Huntington's disease, increase the risk of unhealthy states.

Conclusions:

Plasticity can establish healthy network dynamics.
Network structural and functional changes are linked to disease progression.
This model offers insights into striatal dysfunction and disease modeling.