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Published on: May 23, 2025
Reward-timing-dependent bidirectional modulation of cortical microcircuits during optical single-neuron operant
Riichiro Hira1, Fuki Ohkubo1, Yoshito Masamizu1
11] Division of Brain Circuits, National Institute for Basic Biology and the Graduate University of Advanced Studies (Sokendai), Myodaiji, Okazaki, Japan [2] Japan Science and Technology Agency, CREST, Saitama 332-0012, Japan.
Mice rapidly adapt to new reward rules by altering neural activity in the motor cortex. This brain plasticity, driven by reward timing, reorganizes neural circuits for faster learning.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Systems Neuroscience
Background:
- Animals exhibit remarkable adaptability to environmental shifts.
- Understanding the neural mechanisms of rapid adaptation is crucial for neuroscience.
- Cortical microcircuits play a key role in behavioral flexibility.
Purpose of the Study:
- To investigate how cortical microcircuits reorganize during the recognition of novel reward contingencies.
- To elucidate the role of specific neuronal activity reinforcement in motor cortex adaptation.
Main Methods:
- Two-photon calcium imaging of layer 2/3 motor cortex neurons in mice.
- Simultaneous reinforcement of single cortical neuron activity with water delivery.
- Operant conditioning paradigms to assess behavioral changes and neural activity.
Main Results:
- Mice increased target neuron activity and reward acquisition during operant conditioning without altering forelimb movements.
- Reinforcement bidirectionally modulated activity in non-target neurons, irrespective of their distance from the target neuron.
- This modulation was dependent on the precise timing between reward delivery and neuronal activity, and could be replicated by optogenetic pairing.
Conclusions:
- Reward-timing-dependent bidirectional modulation is a fundamental process in rapid microcircuit reorganization.
- This mechanism underlies adaptive changes in neural circuits in response to environmental learning.
- The findings provide insights into the neural basis of behavioral adaptation and learning.
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