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Related Concept Videos

Neural Circuits01:25

Neural Circuits

Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
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The somatosensory cortex in the parietal lobes is crucial for interpreting sensory data such as touch, temperature, and proprioception. The somatosensory cortex, situated in the parietal lobes, plays a vital role in interpreting sensory information like touch, temperature, and proprioception—awareness of body position. This specialized brain region features an organized structure wherein neurons at the top primarily process sensations originating from the lower body. In contrast, those at the...
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Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
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A cortical attractor network with Martinotti cells driven by facilitating synapses.

Pradeep Krishnamurthy1, Gilad Silberberg, Anders Lansner

  • 1Department of Numerical Analysis and Computer Science, Stockholm University, Stockholm, Sweden.

Plos One
|April 24, 2012
PubMed
Summary

Martinotti cells, a type of inhibitory interneuron, delay their firing, shifting the excitation-inhibition balance to terminate network activity. This suggests Martinotti cells play a key role in regulating cortical processing speed.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Cellular Neuroscience

Background:

  • The neocortex features diverse inhibitory interneurons, with Martinotti cells exhibiting unique synaptic facilitation unlike other types.
  • Understanding the functional roles of diverse interneuron subtypes, particularly Martinotti cells, is crucial for deciphering cortical circuit dynamics.

Purpose of the Study:

  • To quantitatively model the disynaptic inhibitory microcircuit involving pyramidal cells and Martinotti cells.
  • To investigate the role of Martinotti cell synaptic properties in a neocortical attractor network model.

Main Methods:

  • In vitro data was used to quantitatively reproduce the disynaptic inhibitory microcircuit.
  • A previously developed attractor memory network model of neocortical layers 2/3 was utilized.
  • Parameter sensitivity analysis was performed on the network model.

Main Results:

  • The model demonstrated that basket cells fire early in attractor states, while Martinotti cells fire with a delay.
  • Martinotti cell delayed firing shifts the excitation-inhibition balance, terminating attractor states.
  • Parameter sensitivity analysis indicated Martinotti cells significantly influence attractor dwell time and cortical processing speed.

Conclusions:

  • Martinotti cells play a dominant role in setting attractor dwell time, influencing cortical processing speed.
  • Cellular adaptation and synaptic depression may have less impact on attractor dynamics than previously assumed.
  • The unique facilitating synapses of Martinotti cells are critical for their role in network termination.