Thalamocortical regulation of prefrontal stability enables abstract rule generalization
Data files
Feb 11, 2026 version files 188.71 KB
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figure_1d._auditory_DMS_DNMS_then_visual_DMS_DNMS.xlsx
18.42 KB
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figure_1e._visual_DMS_DNMS_then_auditory_DMS_DNMS.xlsx
17.21 KB
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figure_1f._auditory_go_nogo_then_visual_DMS_DNMS.xlsx
16.78 KB
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figure_1g._sessions_to_criterion.xlsx
16.69 KB
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figure_3b.xlsx
16.98 KB
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figure_3d.xlsx
17.02 KB
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figure_3e.xlsx
17.01 KB
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figure_3f.xlsx
15.74 KB
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figure_3g.xlsx
15.73 KB
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figure_6a.xlsx
16.94 KB
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figure_6b.xlsx
17.02 KB
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README.md
3.16 KB
Abstract
The ability to generalize abstract rules to novel contexts is a hallmark of intelligent behavior, yet its neural mechanisms remain poorly understood. Here, we identify a thalamocortical circuit essential for abstract rule generalization in mice. Using a cross-modal delayed match-to-sample task, we find that mice generalize learned rules from auditory to visual domains, with the same medial prefrontal cortex (mPFC) neurons encode task rules across sensory modalities to enable generalization. Pathway-specific manipulations revealed that mediodorsal thalamus (MD) projections to the mPFC are causally required for generalization: optogenetic inhibition of MD-to-mPFC projections disrupts rule transfer by destabilizing mPFC representations, while enhancing this pathway improved performance. Strikingly, without MD input, mPFC recruits distinct neuronal populations for each task, abolishing cross-context stability. Conversely, direct mPFC excitation impairs generalization, highlighting the specificity of thalamic regulation. These findings demonstrate that the MD stabilizes mPFC activity to enable the flexible transfer of abstract rules – a mechanism with broad implications for cognitive disorders and artificial intelligence.
Dataset DOI: 10.5061/dryad.44j0zpcth
Description of the data and file structure
The behavioral, electrophysiological recording, and optogenetic manipulation data were collected.
Files and variables
File: figure_1d._auditory_DMS_DNMS_then_visual_DMS_DNMS.xlsx
Description: Performance across training sessions
Variables
- column 1: task name (DMS/DNMS: delayed match to sample/delayed nonmatch to sample)
- column 2: training day
- column 3-column 15: performance of mice 1-mice 13
File: figure_1e._visual_DMS_DNMS_then_auditory_DMS_DNMS.xlsx
Description: Performance across training sessions
Variables
- The variables are the same as figure_1d.
File: figure_1f._auditory_go_nogo_then_visual_DMS_DNMS.xlsx
Description: Performance across training sessions
Variables
- The variables are the same as figure_1d.
File: figure_1g._sessions_to_criterion.xlsx
Description: Number of training sessions required to reach criterion (75% correct)
Variables
- column 1: the mice ID
- column 2: session to criteria.
- column 9: the mice ID
- column 10: session to criteria.
File: figure_3b.xlsx
Description: Behavioral performance across the first three novel visual sessions
Variables
- column 1: mice ID
- column 2: performance with CNO
- column 3: performance with saline
File: figure_3d.xlsx
Description: Behavioral performance across the first three novel visual sessions for photoinhibition of MD-to-mPFC terminals
Variables
- column 1: mice ID
- column 2: performance of mice with eNpHR
- column 3: performance of mice with eYFP
- column 5: performance of mice with eNpHR
- column 6: performance of mice with eYFP
- column 8: performance of mice with eNpHR
- column 9: performance of mice with eYFP
File: figure_3e.xlsx
Description: Effects of MD-to-mPFC terminal inactivation during the sample
Variables
- The variables are the same as figure_3d.
File: figure_3f.xlsx
Description: Effects of MD-to-mPFC terminal inactivation during the delay
Variables
- The variables are the same as figure_3d.
File: figure_3g.xlsx
Description: Effects of MD-to-mPFC terminal inactivation during the choice
Variables
- The variables are the same as figure_3d.
File: figure_6a.xlsx
Description: Percentage of correct trials in the novel visual task for mice with optogenetic activation of MD-to-mPFC projections, comparing light-OFF and light-ON conditions.
Variables
- column 1: mice ID
- column 2: performance with light off
- column 3: performance with light on
File: figure_6b.xlsx
Description: Percentage of correct trials in the novel visual task for mice with optogenetic activation of mPFC, comparing light-OFF and light-ON conditions.
Variables
- The variables are the same as figure_6a.
Code/software
Behavioral training, testing, and electrophysiological recording were controlled by custom MATLAB (MathWorks) software
