Measuring electrical activity of neurons can disambiguate molecular mechanisms of learning
Measuring the electrical activity and synaptic plasticity of neurons provides crucial empirical data to uncover and disambiguate the cellular and molecular mechanisms underlying learning and memory.
The retrieved papers heavily emphasize electrophysiological recordings, patch-clamp techniques, and neural activity mapping as primary methods for identifying synaptic plasticity and circuit mechanisms of learning (supporting papers 0, 2, 3, 5, 6, 8). While paper 9 notes complexities regarding intrinsic excitability alongside synaptic currents, the vast majority of the evidence supports the premise that electrical activity measurements help resolve learning mechanisms.
N. V. Luchkina, V. Bolshakov. Mechanisms of Fear Learning and Extinction: Synaptic Plasticity — Fear Memory Connection. 2018. https://doi.org/10.1007/s00213-018-5104-4
Electrical and synaptic measurements link synaptic plasticity mechanisms to the acquisition and retention of fear learning.
Shim HG, Fanning AS, Raymond JL. Flexible Coupling of Synaptic and Intrinsic Plasticity in a Cerebellar Circuit.. 2026. https://doi.org/10.1523/jneurosci.1257-25.2026
Results show that learning-related changes in spiking cannot be reliably predicted from synaptic currents alone due to the contribution of intrinsic excitability.
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Mary H. Patton, Kristen T. Thomas, I. Bayazitov, Kyle D. Newman, Nathan B. Kurtz, Camenzind G. Robinson, Cody A. Ramirez, Alexandra J. Trevisan, Jay B. Bikoff, Samuel T. Peters, S. Pruett-Miller, Yanbo Jiang, Andrew B Schild, Anjana Nityanandam, Stanislav S Zakharenko. Synaptic plasticity in human thalamocortical assembloids. 2024. https://doi.org/10.1016/j.celrep.2024.114503
Electrophysiology and imaging in human assembloids demonstrate that measuring electrical activity and synaptic changes reveals mechanisms of learning and memory.
L. Bueno-Junior, J. Leite. Input Convergence, Synaptic Plasticity and Functional Coupling Across Hippocampal-Prefrontal-Thalamic Circuits. 2018. https://doi.org/10.3389/fncir.2018.00040
Circuit-level electrophysiology studies reveal how long-term synaptic plasticity and electrical activity vary during learning paradigms.
Shahrukh Khanzada, Xin Hu, B. Emery, W. Średniawa, D. Wójcik, Gerd Kempermann, Hayder Amin. Mapping Large-scale Spatiotemporal Dynamics of Synaptic Plasticity and LTP for Memory Encoding in the Hippocampal Network. 2024. https://doi.org/10.1101/2024.05.23.595474
Advanced network electrophysiology platforms capture neural interactions and long-term potentiation to understand memory encoding mechanisms.
M. Horacek, Ute Darrelmann, Anja Heger, Daniela Kariofillis, B. Nentwich, Christoph Meisner, C. Ose, Svenja Unsöld, J. Wiltfang, Stefan Klingberg, Gudrun Sartory. T39. NEURAL MECHANISMS OF METABOTROPIC GLUTAMATE RECEPTOR 3 MEDIATED ENHANCEMENT OF SYNAPTIC PLASTICITY AND COGNITION. 2018. https://doi.org/10.1093/schbul/sby016.315
Slice electrophysiology helps uncover how receptor activation enhances hippocampal long-term potentiation and associative fear learning.
Chowdhury KU, Bhattacharya S, Uddin MR, Reed MN, Lee SG, Suppiramaniam V. Polysialic Acid Modulation of Glutamate Receptors and Synaptic Mechanisms Underlying Neuronal Plasticity.. 2026. https://doi.org/10.3390/neurosci7020045
Electrophysiological recordings elucidate how receptor gating mechanisms driven by extracellular regulators control learning and memory.
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