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Cellular, synaptic and network effects of neuromodulation.

Eve Marder1, Vatsala Thirumalai

  • 1Volen Center for Complex Systems, Brandeis University, Waltham, MA 02454-9110, USA. kimack@brandeis.edu

Neural Networks : the Official Journal of the International Neural Network Society
|October 10, 2002
PubMed
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Neuromodulators fine-tune brain network dynamics by altering neuron properties and synaptic connections. These molecules offer versatile control over neural circuits, impacting network function.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Network dynamics arise from neuron properties and synaptic connections.
  • Neuromodulators, including amines and neuropeptides, influence both intrinsic neuronal properties and synaptic strength.
  • These modulatory actions allow for dynamic tuning of network behavior.

Purpose of the Study:

  • To explore how neuromodulators shape network dynamics.
  • To discuss the organizational principles of modulatory systems.
  • To examine the computational consequences of neuromodulator action.

Main Methods:

  • The study discusses theoretical principles and computational consequences.
  • It analyzes the organizational features of neuromodulatory systems.

Related Experiment Videos

  • No specific experimental methods are detailed in the abstract.

    • Main Results:

    • Neuromodulators dynamically configure network dynamics.
    • Modulatory systems exhibit multiply modulated neurons and networks.
    • Extensive convergence and divergence characterize modulator actions.

    Conclusions:

    • Neuromodulators provide a flexible mechanism for controlling neural network function.
    • Understanding neuromodulation is key to deciphering complex brain dynamics.
    • The principles of modulator organization have significant computational implications.