
Neuron, Journal Year: 2019, Volume and Issue: 105(2), P. 237 - 245.e4
Published: Nov. 20, 2019
Language: Английский
Neuron, Journal Year: 2019, Volume and Issue: 105(2), P. 237 - 245.e4
Published: Nov. 20, 2019
Language: Английский
Science Advances, Journal Year: 2024, Volume and Issue: 10(11)
Published: March 15, 2024
During learning, synaptic connections between excitatory neurons in the brain display considerable dynamism, with new being added and old eliminated. Synapse elimination offers an opportunity to understand features of synapses that deems dispensable. However, limited observations activity plasticity vivo, subjected remain poorly understood. Here, we examined functional basis synapse apical dendrites L2/3 primary motor cortex throughout learning. We found no evidence is facilitated by a lack or other local forms plasticity. Instead, eliminated asynchronous nearby synapses, suggesting clustering critical component survival. In addition, show delayed timing respect postsynaptic output. Thus, inputs fail be co-active their neighboring are mistimed neuronal output targeted for elimination.
Language: Английский
Citations
15Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)
Published: Jan. 28, 2025
Apical and basal dendrites of pyramidal neurons receive anatomically functionally distinct inputs, implying compartment-level functional diversity during behavior. To test this, we imaged in vivo calcium signals from soma, apical dendrites, mouse hippocampal CA3 head-fixed navigation. capture compartment-specific population dynamics, developed computational tools to automatically segment extract accurate fluorescence traces densely labeled neurons. We validated the method on sparsely preparations synthetic data, predicting an optimal labeling density for high experimental throughput analytical accuracy. Our detected rapid, local dendritic activity. Dendrites showed robust spatial tuning, similar soma but with higher activity rates. Across days, remained more stable outperformed decoding animal's position. Thus, population-level differences may reflect input-output functions computations CA3. These will facilitate future studies mapping sub-cellular their relation The authors develop analysis package characterizing neural using optical imaging show that are representations than area
Language: Английский
Citations
1eLife, Journal Year: 2025, Volume and Issue: 12
Published: Feb. 3, 2025
Dendritic branching and synaptic organization shape single-neuron network computations. How they emerge simultaneously during brain development as neurons become integrated into functional networks is still not mechanistically understood. Here, we propose a mechanistic model in which dendrite growth the of synapses arise from interaction activity-independent cues potential partners local activity-dependent plasticity. Consistent with experiments, three phases dendritic – overshoot, pruning, stabilization naturally model. The generates stellate-like morphologies that capture several morphological features biological under normal perturbed learning rules, reflecting variability. Model-generated dendrites have approximately optimal wiring length consistent experimental measurements. In addition to establishing morphologies, plasticity rules organize spatial clusters according correlated activity experience. We demonstrate trade-off between -independent factors influences location throughout development, suggesting early developmental variability can affect mature morphology function. Therefore, single account for inputs development. Our work suggests concrete components underlying emergence formation removal function dysfunction, provides experimentally testable predictions role individual components.
Language: Английский
Citations
1Nature Neuroscience, Journal Year: 2025, Volume and Issue: unknown
Published: March 31, 2025
Abstract Synaptic plasticity alters neuronal connections in response to experience, which is thought underlie learning and memory. However, the loci of learning-related synaptic plasticity, degree localized or distributed, remain largely unknown. Here we describe a new method, DELTA, for mapping brain-wide changes protein turnover with single-synapse resolution, based on Janelia Fluor dyes HaloTag knock-in mice. During associative learning, ionotropic glutamate receptor subunit GluA2, an indicator was enhanced several brain regions, most markedly hippocampal area CA1. More broadly distributed increases proteins were observed environmental enrichment. In CA1, GluA2 stability regulated input-specific manner, more layers containing input from CA3 compared entorhinal cortex. DELTA will facilitate exploration molecular circuit basis memory other forms at scales ranging single synapses entire brain.
Language: Английский
Citations
1Neuron, Journal Year: 2019, Volume and Issue: 105(2), P. 237 - 245.e4
Published: Nov. 20, 2019
Language: Английский
Citations
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