Dataset DOI: 10.5061/dryad.z612jm6r0

Description of the data and file structure

Files:

Figure1BC.mat

Action potential raster plot, peri-stimulus-time-histogram and spiking phase angle histogram in relation to optogenetic stimulation frequency for an example stimulation site at (B) 10Hz and (C) 40Hz light stimulation frequency.

This dataset contains 4 variables:

spt_VP_ex1 : spike times for one example unit with 10Hz light stimulation frequency for 10 trials (1x10 cell)

spPhases_VP_ex1 : spiking phase angle for the same unit

spt_VP_ex2 : spike times for one example unit with 40Hz light stimulation frequency for 10 trials (1x10 cell)

spPhases_VP_ex2 : spiking phase angle for the same unit

Figure1D.mat

Population analysis across VP stimulation sites of mean preferred phase angles in VP.

This dataset contains 2 variables:

Freq: stimulation frequency for each phase angle in the variable phases.

phases: phase angles associated with the frequencies in the variable Freq.

 

Figure2B.mat

Histogram of overall excitation and inhibition encountered in LHb following VP light stimulation at different frequencies. Spiking phase angle histogram for LHb units.

This dataset contains 2 variables:

aniExcit: 1-by-5 cell for each of the 5 frequencies (5-10-20-30-4) containing the unique animal ID from which the excited unit was acquired

aniInhib: 1-by-5 cell for each of the 5 frequencies (5-10-20-30-4) containing the unique animal ID from which the inhibited unit was acquired

 

Figure2C.mat

Population analysis across VP stimulation sites of mean preferred phase angles in LHb.

This dataset contains 2 variables:

Freq: stimulation frequency for each phase angle in the variable phases.

phases: phase angles associated with the frequencies in the variable Freq.

Figure2DEFG.mat

Action potential raster plot, peri-stimulus-time-histogram and spiking phase angle histogram in relation to optogenetic stimulation frequency for four example units.

This dataset contains 8 variables:

spt_ex(1-4) : spike times for one example unit with 10Hz light stimulation frequency for 10 trials (1x10 cell)

spPhases_ex(1-4) : spiking phase angle for the same unit

Figure3CD.mat

(C) The mean VP spike triggered average of the LHb LFP (± SEM, shaded) suggest systematic impact of VP on LHb neural circuit activity.

(D) The spike-LFP coherence for an example session.

This dataset contains 4 variables :

cohC : coherence values for light condition

cohCsh : shuffled coherence values for control condition

frAx : frequency values, for x axis

STAon: spike-triggered average data

Figure3EF.mat

Coherence at 40Hz compared to coherence at 35Hz across the population of VP-LHb recording sites

This dataset contains 4 variables :

ap40OptoSig: 1-by-10 cell for 10 significant units. Each cell content is a double array corresponding to all the different trials, such that: 1-by-20 trials contains the coherence values at 40Hz for 20 trials.

ap40OptoNS: 1-by-15 cell for 15 significant units. Each cell content is a double array corresponding to all the different trials, such that: 1-by-20 trials contains the coherence values at 40Hz for 20 trials.

ap35OptoSig: 1-by-10 cell for 10 significant units. Each cell content is a double array corresponding to all the different trials, such that: 1-by-20 trials contains the coherence values at 35Hz for 20 trials.

 ap35OptoNS: 1-by-15 cell for 15 significant units. Each cell content is a double array corresponding to all the different trials, such that: 1-by-20 trials contains the coherence values at 35Hz for 20 trials.

Figure4.mat

Pie chart showing the number of excited, inhibited and non-modulates units and peri-stimulus-time-histograms of example units in (A) LHb, (B) MD and (C) mPFC (ACC and PRL). (D) Change in firing rate in mPFC across different stimulation depths.

This dataset contains 5 variables:

mEv: 6-by-8 double array, corresponding to 6 different bins of stimulation depths and 8 different bins of recording depths

exPRL: spike times for an example PrL unit for 20 trials

exMD: spike times for an example MD unit for 20 trials

exACC: spike times for an example ACC unit for 20 trials

exLHb: spike times for an example LHb unit for 20 trials

 

Figure5C.mat

Lever pressing rate comparing between control condition and optogenetic inhibition for the three manipulations: (A) VPàLHb, (B) VPàMD and (C) VP ChAT.

This dataset contains 6 variables:

MD_Ctrl: 4-by-3 double array, rows (4): animals, columns (3): This array includes the pressing rate values per session for the MD group under the control condition.

MD_Arch: 4-by-3 double array, rows (4): animals, columns (3): days. This array includes the pressing rate values per session for the MD group under the light condition.

LHb_Ctrl: 5-by-3 double array, rows (5): animals, columns (3): days. This array includes the pressing rate values per session for the LHb group under the control condition.

LHb_Arch: 5-by-3 double array, rows (5): animals, columns (3): days. This array includes the pressing rate values per session for the LHb group under the light condition.

ChAT_Ctrl: 5-by-3 double array, rows (5): animals, columns (3): days. This array includes the pressing rate values per session for the ChAT group under the control condition.

ChAT_Arch: 5-by-3 double array, rows (5): animals, columns (3): days. This array includes the pressing rate values per session for the ChAT group under the light condition.

*Note that one day is one session.

Figure5EFG.mat

The performance of individual rats during the three different training stages of an auditory discrimination task for control trials and trials with optogenetic silencing for the three manipulations: (E) VPàLHb, (F) VPàMD and (G) VP ChAT.

This dataset contains 18 variables. The rows of each of the variables represent one animal and the columns one session, such that if a variable is a matrix of 5-by-7, it contains the performance (correct/(correct+incorrect) values of 5 rats for 7 sessions. Each variable correspond to a different animal cohort and training stage. Specifically:

dataEndCtrl_ChAT: ChAT group, last stage, control condition

dataEndCtrl_LHb: LHb group, last stage, control condition

dataEndCtrl_MD: MD group, last stage, control condition

dataEndOpto_ChAT: ChAT group, last stage, light (/opto) condition

dataEndOpto_LHb: LHb group, last stage, opto condition

dataEndOpto_MD:  MD group, last stage, opto condition

dataFirstCtrl_ChAT: ChAT group, early stage, control condition

dataFirstCtrl_LHb: LHb group, early stage, control condition

dataFirstCtrl_MD: MD group, early stage, control condition

dataFirstOpto_ChAT: ChAT group, early stage, opto condition

dataFirstOpto_LHb: LHb group, early stage, opto condition

dataFirstOpto_MD: MD group, early stage, opto condition

dataMidCtrl_ChAT: ChAT group, middle stage, control condition

dataMidCtrl_LHb: LHb group, middle stage, control condition

dataMidCtrl_MD: MD group, middle stage, control condition

dataMidOpto_ChAT: ChAT group, middle stage, opto condition

dataMidOpto_LHb: LHb group, middle stage, opto condition

dataMidOpto_MD: MD group, middle stage, opto condition

Figure6A.mat

Example LFP segments of gamma band (40-60Hz) in VP and AC during high lever pressing periods and low lever pressing periods.

This dataset contains 2 variables:

AClfp: LFP segment of Auditory Cortex (AC)

VPlfp: LFP segment of Ventral Pallidum (VP)

Note: Missing Values (NaNs)

The variables AClfp and VPlfp contain a small number of NaN values.
These NaN entries represent excluded signal samples that occurred during preprocessing.
They were not replaced or interpolated in order to preserve the integrity of the raw LFP signals.

NaN values can be interpreted as no valid data for those time points.
Users analyzing these datasets should handle NaNs appropriately depending on their processing pipeline (e.g., ignore, interpolate, or mask them).

Figure6B.mat

Comparison of overall gamma band amplitude for session in during high lever pressing and low lever pressing in VP and AC.

This dataset contains 4 variables:

AChighgamma: gamma amplitude in AC during high lever pressing

AClowgamma: gamma amplitude in AC during low lever pressing

VPhighgamma: gamma amplitude in VP during high lever pressing

VPlowgamma: gamma amplitude in VP during low lever pressing

Figure6C.mat 

Example recording session illustrating a peak in gamma band power in VP, but not AC.

This dataset contains 4 variables:

AChighexample: power spectral density for AC during high lever pressing for example session

AClowexample: power spectral density for AC during low lever pressing for example session

VPhighexample: power spectral density for VP during high lever pressing for example session

VPlowexample: power spectral density for VP during low lever pressing for example session

Figure6D.mat

Population analysis showing that gamma band activity is significantly higher in VP, mPFC and MD, but not AC during high lever pressing epochs compared to low lever pressing epochs.

This dataset contains 16 variables:

AChigh_FR: gamma activity during high lever pressing under FR schedule in AC

AChigh_VI: gamma activity during high lever pressing under VI schedule in AC

AClow_FR: gamma activity during low lever pressing under FR schedule in AC

AClow_VI: gamma activity during low lever pressing under VI schedule in AC

MDhigh_FR: gamma activity during high lever pressing under FR schedule in MD

MDhigh_VI: gamma activity during high lever pressing under VI schedule in MD

MDlow_FR: gamma activity during low lever pressing under FR schedule in MD

MDlow_VI: gamma activity during low lever pressing under VI schedule in MD

mPFChigh_FR: gamma activity during high lever pressing under FR schedule in mPFC

mPFChigh_VI: gamma activity during high lever pressing under VI schedule in mPFC

mPFClow_FR: gamma activity during low lever pressing under FR schedule in mPFC

mPFClow_VI: gamma activity during low lever pressing under VI schedule in mPFC

VPhigh_FR: gamma activity during high lever pressing under FR schedule in VP

VPhigh_VI: gamma activity during high lever pressing under VI schedule in VP

VPlow_FR: gamma activity during low lever pressing under FR schedule in mPFC

VPlow_VI: gamma activity during low lever pressing under VI schedule in VP

Figure6E.mat

Barplot showing gamma band activity during high lever pressing and low lever pressing for VP, AC, MD and mPFC during FR and VI sessions.

This dataset contains 2 variables:
FRGammaDiff: Difference in gamma activity between high and low lever pressing during FR rewarding schedule. Each column corresponds to one region as shown in Fig.6E.

VIGammaDiff: Difference in gamma activity between high and low lever pressing during VI rewarding schedule. Each column corresponds to one region as shown in Fig.6E.

Figure7A.mat

Gamma band power in VP during S+ (rewarded conditions) vs S- (non-rewarded conditions). (Bottom) Power spectral density calculated from LFPs recorded in the VP for S+ and S- conditions for example sessions.

This dataset contains 6 variables:

VP_sPlus: Gamma band power in VP during S+

 VP_sMinus: Gamma band power in VP during S-

VP_rat1_Splus: VP power spectral density for S+ for an example rat

VP_rat1_Sminus: VP power spectral density for S- for an example rat

VP_rat2_Splus: VP power spectral density for S+ for an example rat

VP_rat2_Sminus: VP power spectral density for S- for an example rat

Figure7B.mat

Gamma band power in mPFC during S+ (rewarded conditions) vs S- (non-rewarded conditions). (Bottom) Power spectral density calculated from LFP’s recorded in the mPFC for S+ and S- conditions for example sessions.

This dataset contains 6 variables:

mPFC_sPlus: Gamma band power in mPFC during S+

mPFC _sMinus: Gamma band power in mPFC during S-

mPFC _rat1_Splus: mPFC power spectral density for S+ for an example rat

mPFC _rat1_Sminus: mPFC power spectral density for S- for an example rat

mPFC _rat2_Splus: mPFC power spectral density for S+ for an example rat

mPFC _rat2_Sminus: mPFC power spectral density for S- for an example rat

Figure7C.mat

Gamma band power in AC during S+ (rewarded conditions) vs S- (non-rewarded conditions). (Bottom) Power spectral density calculated from LFP’s recorded in the AC for S+ and S- conditions for example sessions.

This dataset contains 6 variables:

AC_sPlus: Gamma band power in mPFC during S+

AC _sMinus: Gamma band power in mPFC during S-

AC _rat1_Splus: AC power spectral density for S+ for an example rat

AC_rat1_Sminus: AC power spectral density for S- for an example rat

AC_rat2_Splus: AC power spectral density for S+ for an example rat

AC_rat2_Sminus: AC power spectral density for S- for an example rat

How to Load and Use the Data

All dataset files are provided in MATLAB .mat format.
Users can load the data directly into MATLAB or compatible software (e.g., Python with scipy.io.loadmat) using:

load('filename.mat')

Example:

load('Figure6A.mat')
plot(AClfp)
title('Auditory Cortex LFP segment')
xlabel('Time (s)')
ylabel('γ Amplitude (μV)')

This will import the variables described above into the workspace and plot the example LFP segment.
No custom code or scripts are required to use the data.
All variables are standard MATLAB arrays, cells, or structures, and can be accessed or plotted directly after loading.