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In Vivo Visualization of Spontaneous Activity in Neonatal Mouse Sensory Cortex at a Single-Neuron Resolution
Published on: November 21, 2023
Sensory experience modifies spontaneous state dynamics in a large-scale barrel cortical model
Elena Phoka1, Mark Wildie, Simon R Schultz
1Department of Bioengineering, Imperial College London, London, UK. e.phoka07@imperial.ac.uk
Journal of Computational Neuroscience
|March 10, 2012
Summary
Sensory experiences can modify brain circuitry. Repeated whisker stimulation in a rodent barrel cortex model induced long-term changes in neuronal network dynamics via spike-timing-dependent plasticity (STDP).
Area of Science:
- Neuroscience
- Computational Neuroscience
- Systems Neuroscience
Background:
- Spontaneous neuronal activity is influenced by sensory input.
- Mechanisms by which sensory experience modifies synaptic dynamics and network responses remain unclear.
Purpose of the Study:
- To investigate if spike-timing-dependent plasticity (STDP) mediates sensory-induced modifications in spontaneous dynamics.
- To model layers II, III, and IV of the rodent barrel cortex with detailed physiological parameters.
Main Methods:
- Developed a large-scale computational model of rodent barrel cortex.
- Stimulated the network with repeated sensory inputs mimicking whisker movements.
- Applied dimensionality reduction techniques to analyze synaptic weight changes and network dynamics.
Main Results:
- Repeated sensory stimulation induced long-term, structured modifications in synaptic weights.
- The network's spontaneous state after stimulation encoded a memory of the sensory input.
- Network response differed for ordered versus shuffled stimuli, indicating memory encoding.
Conclusions:
- Spike-timing-dependent plasticity (STDP) can mediate sensory-induced modifications in neural network dynamics.
- Repeated sensory experiences can lead to long-term synaptic and circuitry changes via Hebbian plasticity.
- The barrel cortex network exhibits stimulus-specific memory formation through plasticity.
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