Thalamic short-term plasticity and its impact on the neocortex
Bibliographic record
Abstract
Intracellular recordings from thalamocortical (TC) neurons in the ventrolateral (VL) nucleus as well as paired intracellular recordings from TC-VL neurons and area 4 cortical neurons under ketamine-xylazine anesthesia were performed to study changes in hyperpolarization-rebound sequences evoked by successive stimuli to the dorsal thalamus at different frequencies and the impact of these changes at the cortical level. The cellular mechanisms of such changes in synaptic networks connecting TC with cortical neurons are relevant for short-term plasticity during low-frequency oscillatory activities. The progressive decrease in hyperpolarization of TC cells in response to single thalamic stimulus above a certain frequency (generally >1 Hz) and to pulse-trains at 10 Hz was mainly due to synaptic factors and not to mechanisms intrinsic to TC cells, as revealed by comparing responses evoked by synaptic volleys to those elicited by hyperpolarizing current pulses mimicking the synaptically evoked hyperpolarization-rebound sequence. The decreased hyperpolarization to repetitive synaptic volleys, leading to a decreased number of action potentials in the post-inhibitory spike-burst, had an impact on cortical activities, being matched by a decreased rebound depolarization of cortical cell during repetitive augmenting responses. The alterations in hyperpolarization-rebound sequences upon repetitive stimulation, probably resulting from the decreased efficacy of connections between thalamic reticular (RE) neurons to TC connections, results in the dampening of activities sustaining normal, and possibly paroxysmal, oscillations in the TC network. Our results suggest that this phenomenon should be taken into account when analyzing complex activities, such as physiological and pathological oscillations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".