Alpha modulation of spiking activity across multiple brain regions in mice performing a tactile selective detection task
Data files
Dec 10, 2025 version files 443.35 GB
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AP.zip
29.91 GB
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FTR_AP.zip
30.33 GB
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FTR_LFP.zip
21.55 GB
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FTR_SLRT.zip
28.10 KB
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LFP.zip
359.84 GB
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README.md
26.10 KB
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SLRT.zip
1.73 GB
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Subjects.zip
51.04 KB
Abstract
Many cognitive and sensory processes are characterized by strong relationships between the timing of neuronal spiking and the phase of ongoing local field potential oscillations. The coupling of neuronal spiking in the neocortex to the phase of alpha oscillations (8-12 Hz) has been well studied in nonhuman primates but remains largely unexplored in other mammals. How this alpha modulation of spiking differs between brain areas and cell types, as well as its role in sensory processing and decision making, is not well understood. We used Neuropixels 1.0 probes to chronically record neural activity from the somatosensory cortex, prefrontal cortex, striatum, and amygdala in mice performing a whisker-based selective detection task. We observed strong spontaneous alpha modulation of single-neuron spiking activity during inter-trial intervals while mice performed the task. The prevalence and strength of alpha phase modulation differed significantly across regions and between cell types. Phase modulated neurons exhibited stronger responses to both go and no-go stimuli, as well as stronger motor- and reward-related changes in firing rate, than their unmodulated counterparts. The increased responsiveness of phase-modulated neurons suggests they are innervated by more diverse populations. Alpha modulation of neuronal spiking during baseline activity also correlated with task performance. In particular, many neurons exhibited strong alpha modulation before correct trials, but not before incorrect trials. These data suggest that dysregulation of spiking activity with respect to alpha oscillations may characterize lapses in attention.
Dataset DOI: 10.5061/dryad.905qftv02
Description of the data and file structure
The data provided here comes from Neuropixels 1.0 recordings in 4 mice (2 in the prefrontal cortex, 2 in the somatosensory cortex) as they performed a tactile selective detection task. We used this data to explore alpha band modulation of single-unit spiking data in the context of the behavior. This data has been processed from its raw format into MATLAB tables. The compressed raw data is over 2.1 TB in size. Requests for the raw data can be made to Prof. Qi Wang (qw2161@columbia.edu).
To place the data in a folder structure compatible with the software listed below, create a base-level folder (referred to here as Base). Unzip Subjects.zip to the Base folder, and create a sub-folder named Data. In Data, create an EXT sub-folder and an FTR sub-folder. Unzip AP.zip, LFP.zip, and SLRT.zip to the EXT folder, and unzip FTR_AP.zip, FTR_LFP.zip, and FTR_SLRT.zip to the FTR folder.
Files and variables
File: AP.zip
Description: This archive contains neuronal spiking data for each behavioral session included in the study. Each file contains a MATLAB table corresponding to a single session, with each row corresponding to a trial in the session. File names indicate the date of the experiment, subject identifier, genotype, location of Neuropixels implant (R - right, L - left), and experimental phase (1 - classical conditioning, 2 - operant conditioning, 3 - full task).
Table variables:
- trial_num - Session trial number
- session_label - Same information as file name
- spiking_data - Table where each row is a spiking cluster
- cluster_id - Identification numbers for clusters identified by kilosort
- spike_times - Time (s) of neuronal spikes
- quality - Cluster quality (good - single unit, mua - multi-unit)
- spike_amplitudes - Amplitude of spikes (mV)
- template_amplitude - Amplitude of waveform template for the cluster (mV)
- position - Position along the probe (microns)
- contam_pct - See Kilosort documentation
- template - Normalized waveform template for the cluster
- channel - Neuropixls channel number where cluster was recorded
- left_trigger_aligned_spike_times - Spike times aligned to left trigger (s)
- onsetTone_trig_aligned_spike_times - Unused
- reward_trigger_aligned_spike_times - Spike times aligned to reward trigger (s)
- right_trigger_aligned_spike_times - Spike times aligned to right trigger (s)
- reward_trig_aligned_spike_times - Spike times aligned to reward trigger (s)
- left_trigger_aligned_psth - Peristimulus time histogram (100 ms bins) aligned to left trigger
- left_trigger_aligned_baselineFR - Baseline firing rate (Hz)
- onsetTone_trig_aligned_baselineFR - Unused
- reward_trigger_aligned_baselineFR - Firing rate (Hz) 1s prior to reward delivery
- right_trigger_aligned_baselineFR - Baseline firing rate (Hz)
- reward_trig_aligned_baselineFR - Firing rate (Hz) 1s prior to reward delivery
- left_trigger_aligned_evokedFR - Change in firing rate (Hz) 200ms following stimulus
- onsetTone_trig_aligned_evokedFR - Unused
- reward_trigger_aligned_evokedFR - Change in firing rate (Hz) 200ms following reward
- right_trigger_aligned_evokedFR - Change in firing rate (Hz) 200ms following stimulus
- reward_trig_aligned_evokedFR - Change in firing rate (Hz) 200ms following reward
- left/right_trigger_aligned_spontaneousCV - Coefficient of variation.
- left/right_trigger_aligned_fr - Firing rate (Hz) aligned to trigger.
- spike_delta_phase - LFP phase in delta (0.5 - 3 Hz) band of each spike.
- spike_theta_phase - LFP phase in theta (3 - 8 Hz) band of each spike.
- spike_alpha_phase - LFP phase in alpha (8 - 12 Hz) band of each spike.
- spike_beta_phase - LFP phase in beta (12 - 20 Hz) band of each spike.
- covariance_matrix - Spike time covariance (between recorded neurons) matrix across entire trial
- spontaneous_cov_mat - Spike time covariance matrix during 3 s of baseline
File: LFP.zip
Description: This archive contains local field potential data for each behavioral session included in the study. Each file contains a MATLAB table corresponding to a single session, with each row corresponding to a trial in the session. File names indicate the date of the experiment, subject identifier, genotype, location of Neuropixels implant (R - right, L - left), and experimental phase (1 - classical conditioning, 2 - operant conditioning, 3 - full task).
Table variables:
- trial_num - Session trial number
- session_label - Same information as file name
- lfp - Matrix of local field potentials (V) where each row is a channel on the Neuropixles probe and each column is a time point (sampling rate is 1 kHz).
- lfpTime - Time (s) of lfp samples
- left/right/reward_trigger_aligned_lfp_time - lfpTime aligned to left/right trigger and reward
- onsetTone_trig_aligned_lfp_time - Unused
- left/right_trigger_aligned_baseline_alpha_power - Alpha (8 - 12 Hz) power (V^2) aligned to stimulus on each channel
- reward_trigger_aligned_baseline_alpha_power - Alpha (8 - 12 Hz) power (V^2) aligned to reward on each channel
- left/right_trigger_aligned_baseline_delta_power - Delta (0.5 - 3 Hz) power (V^2) aligned to stimulus on each channel
- reward_trigger_aligned_baseline_delta_power - Delta (0.5 - 3 Hz) power (V^2) aligned to stimulus on each chann
- left/right_trigger_aligned_baseline_theta_power - Theta (3 - 8 Hz) power (V^2) aligned to stimulus on each channel
- reward_trigger_aligned_baseline_theta_power - Theta (3 - 8 Hz) power (V^2) aligned to reward on each channel
- left/right_trigger_aligned_baseline_beta_power - Beta (13 - 20 Hz) power (V^2) aligned to stimulus on each channel
- reward_trigger_aligned_baseline_beta_power - Beta (13 - 20 Hz) power (V^2) aligned to reward on each channel
- left/right_trigger_aligned_baseline_low_gamma_power - Low gamma (30 - 50 Hz) power (V^2) aligned to stimulus on each channel
- reward_trigger_aligned_baseline_low_gamma_power - Low gamma (30 - 50 Hz) power (V^2) aligned to reward on each channel
- left/right_trigger_aligned_baseline_high_gamma_power - High gamma (60 - 100 Hz) power (V^2) aligned to stimulus on each channel
- reward_trigger_aligned_baseline_high_gamma_power - High gamma (60 - 100 Hz) power (V^2) aligned to reward on each channel
- left/right_trigger_aligned_baseline_gamma_power - Gamma (30 - 100 Hz) power (V^2) aligned to stimulus on each channel
- reward_trigger_aligned_baseline_gamma_power - Gamma (30 - 100 Hz) power (V^2) aligned to reward on each channel
File: SLRT.zip
Description: This archive contains behavioral data for each behavioral session included in the study. Each file contains a MATLAB table corresponding to a single session, with each row corresponding to a trial in the session. File names indicate the date of the experiment, subject identifier, genotype, location of Neuropixels implant (R - right, L - left), and experimental phase (1 - classical conditioning, 2 - operant conditioning, 3 - full task).
Table variables:
- trial_number - Session trial number
- session_label - Same information as file name
- lickometer_piezo - Raw voltage (V) from piezoelectric actuator recording licks
- clock_time - Time (s) on the Speedgoat RealTime System
- syncLine_1Hz_ext - 1 Hz pulse for synchronizing spiking and behavioral data
- counter - Counts samples per trial
- delay - Time (s) before stimulus presentation
- left_trigger - Index in clock_time for left-sided whisker trigger
- localTime - Time (ms) on the Speedgoat RealTime System
- npxlsAcq - Trigger (V) for Neuropixels signal acquisition
- numLicks - Running count of licks during a trial
- onsetTone_trig - Unused
- reward_duration - Duration (s) valve controlling the flow of reward water is opened
- reward_trigger - Index in clock_time reward is delivered if delivered.
- right_trigger - Index in clock_time for right-sided whisker trigger
- stim_duration - Rise time (s) for tactile stimulus waveform
- was_target - Binary vector indicating whether the stimulus delivered was a go-stimulus
- ADout - Rectified voltage (V) from lick-detecting piezoelectric actuator
- lick_detector - Binary vector indicating lick times
- npxls_trig - Trigger (V) for Neuropixels signal acquisition
- pupilCam_trig - Trigger (V) for camera used for pupillometry
- reward_trig - Trigger for initiating reward delivery
- whiskCam_trig - Unused
- switchTime - Unused
- trainingStage - Indicates experimental phase (see file name description)
- trial-gate - Trigger indicating the beginning of a trial
- signal_types - Labels for recorded signals (see documentation for nCORTEx)
- trial-gate_clock_time - Duplicate of clock time
- left_trigger_aligned_lick_detector - Licks aligned to left trigger onset
- left_trigger_aligned_lick_detector_time - Time (s) aligned to left trigger onset
- onsetTone_trig_aligned_lick_detector - Unused
- onsetTone_trig_aligned_lick_detector_time - Unused
- reward_trigger_aligned_lick_detector - Licks aligned to left trigger onset
- reward_trigger_aligned_lick_detector_time - Time (s) aligned to left trigger onset
- right_trigger_aligned_lick_detector - Licks aligned to right trigger onset
- right_trigger_aligned_lick_detector_time - Time (s) aligned to right trigger onset
- reward_trig_aligned_lick_detector - Licks aligned to left trigger onset
- reward_trig_aligned_lick_detector_time - Time (s) aligned to left trigger
- categorical_outcome - Trial outcome (hit, miss, correct rejection, false alarm, and pass)
- dprime - Discriminability (unitless)
- criterion - Decision criterion (unitless)
- reaction_time - Reaction time (s) on hit and false alarm trials
File: FTR_AP.zip
Description: This archive contains session-wide neuronal spiking data for each subject included in the study. Each file contains a MATLAB table corresponding to a single subject, with each row corresponding to a neuron recorded in a given session.
File names indicate the subject identifier, genotype, location of Neuropixels implant (R - right, L - left), and experimental phase (1 - classical conditioning, 2 - operant conditioning, 3 - full task).
Table variables:
- alpha/beta/theta/delta_spike_phases - Phase of each LFP band at the time of each spike
- alpha/beta/theta/delta_spike_phases_cr - Phase of each LFP band at the time of each spike across correct rejection trials
- alpha/beta/theta/delta_spike_phases_fa - Phase of each LFP band at the time of each spike across false alarm trials
- alpha/beta/theta/delta_spike_phases_hit - Phase of each LFP band at the time of each spike across hit trials
- alpha/beta/theta/delta_spike_phases_lick - Phase of each LFP band at the time of each spike across trials with spontaneous licks
- alpha/beta/theta/delta_spike_phases_miss - Phase of each LFP band at the time of each spike across miss trials
- alpha/beta/theta/delta_spike_phases_nolick - Phase of each LFP band at the time of each spike across trials with no spontaneous licks
- avg_baseline_fr - Average baseline firing rate (Hz) across trials
- avg_trial_fr - Average firing rate (Hz) across the session
- cluster_id - Identification numbers for clusters identified by kilosort
- hists_alpha/beta/theta/delta - Histogram of spike-phases in each LFP frequency band in 20-degree bins
- hists_alpha/beta/theta/delta_cr - Histogram of spike-phases in each LFP frequency band in 20-degree bins across correct rejection trials
- hists_alpha/beta/theta/delta_fa - Histogram of spike-phases in each LFP frequency band in 20-degree bins across false alarm trials
- hists_alpha/beta/theta/delta_hit - Histogram of spike-phases in each LFP frequency band in 20-degree bins across hit trials
- hists_alpha/beta/theta/delta_miss - Histogram of spike-phases in each LFP frequency band in 20-degree bins across miss trials
- is_left/right_trigger_stim_modulated - Binary value indicating whether the cluster significantly responded to stimulus
- is_stim_modulated_CR - Binary value indicating whether the cluster significantly responded to stimulus on correct rejection trials
- is_stim_modulated_FA - Binary value indicating whether the cluster significantly responded to stimulus on false alarm trials
- is_stim_modulated_Hit - Binary value indicating whether the cluster significantly responded to stimulus on hit trials
- is_stim_modulated_Miss - Binary value indicating whether the cluster significantly responded to stimulus on miss trials
- isi_hist - Histogram of interspike intervals (counts)
- isi_hist_edges - Histogram edges (s) for interspike intervals
- kappa_alpha/beta/delta/theta - Kappa value for von Mises fit to spike-phase distribution for alpha/beta/delta/theta LFP bands
- kappa_alpha/beta/delta/theta_cr - Kappa value for von Mises fit to spike-phase distribution for alpha/beta/delta/theta LFP bands
- kappa_alpha/beta/delta/theta_fa - Kappa value for von Mises fit to spike-phase distribution for alpha/beta/delta/theta LFP bands
- kappa_alpha/beta/delta/theta_hit - Kappa value for von Mises fit to spike-phase distribution for alpha/beta/delta/theta LFP bands
- kappa_alpha/beta/delta/theta_miss - Kappa value for von Mises fit to spike-phase distribution for alpha/beta/delta/theta LFP bands
- left_trigger_aligned_avg_fr - Stimulus-aligned firing rate (Hz)
- left_trigger_aligned_avg_fr_Hit - Stimulus-aligned firing rate (Hz) on hit trials
- left_trigger_aligned_avg_fr_Miss - Stimulus-aligned firing rate (Hz) on miss trials
- left_trigger_aligned_avg_psth - Peristimulus time histogram (100 ms bins)
- left_trigger_aligned_avg_psth_Hit - Peristimulus time histogram (100 ms bins) on hit trials
- left_trigger_aligned_avg_psth_Miss - Peristimulus time histogram (100 ms bins) on miss trials
- p_threshold_alpha/beta/theta/delta - p-value threshold for determining if spike timing is significantly modulated by the phase of alpha/beta/theta/delta
- p_threshold_alpha/beta/theta/delta_cr - p-value threshold for determining if spike timing is significantly modulated by the phase of alpha/beta/theta/delta on correct rejection trials
- p_threshold_alpha/beta/theta/delta_fa - p-value threshold for determining if spike timing is significantly modulated by the phase of alpha/beta/theta/delta on false alarm trials
- p_threshold_alpha/beta/theta/delta_hit - p-value threshold for determining if spike timing is significantly modulated by the phase of alpha/beta/theta/delta on hit trials
- p_threshold_alpha/beta/theta/delta_miss - p-value threshold for determining if spike timing is significantly modulated by the phase of alpha/beta/theta/delta on miss trials
- p_value_alpha/beta/theta/delta - p-value from Rayleigh's test for nonuniformity to determine if spike timing is significantly modulated by the phase of alpha/beta/theta/delta
- p_value_alpha/beta/theta/delta_cr - p-value from Rayleigh's test for nonuniformity to determine if spike timing is significantly modulated by the phase of alpha/beta/theta/delta on correct rejection trials
- p_value_alpha/beta/theta/delta_fa - p-value from Rayleigh's test for nonuniformity to determine if spike timing is significantly modulated by the phase of alpha/beta/theta/delta on false alarm trials
- p_value_alpha/beta/theta/delta_hit - p-value from Rayleigh's test for nonuniformity to determine if spike timing is significantly modulated by the phase of alpha/beta/theta/delta on hit trials
- p_value_alpha/beta/theta/delta_miss - p-value from Rayleigh's test for nonuniformity to determine if spike timing is significantly modulated by the phase of alpha/beta/theta/delta on miss trials
- position - Position (microns) of the spiking cluster along the Neuropixels probe
- quality - Cluster quality (good - single unit, mua - multi-unit)
- region - Brain region of recorded cluster
- reward_trigger_aligned_avg_fr_Hit - Average firing rate (Hz) aligned to reward
- reward_trigger_aligned_avg_psth_Hit - Peristimulus time histogram (100 ms bins) aligned to reward
- right_trigger_aligned_avg_fr - Average firing rate (Hz) aligned to stimulus
- right_trigger_aligned_avg_fr_CR/FA - Average firing rate (Hz) aligned to stimulus across correct rejection / false alarm trials
- right_trigger_aligned_avg_psth - Average peristimulus time histograms across correct rejection / false alarm trials
- right_trigger_aligned_avg_psth_CR/FA - Average peristimulus time histograms across correct rejection / false alarm trials
- session_id - See description of file name above
- spon_alpha/beta/theta/delta_spike_phases - Phase of each LFP band at the time of each spike during 3 s of baseline activity
- spon_alpha/beta/theta/delta_spike_phases_cr - Phase of each LFP band at the time of each spike during 3 s of baseline activity on correct rejection trials
- spon_alpha/beta/theta/delta_spike_phases_fa - Phase of each LFP band at the time of each spike during 3 s of baseline activity on false alarm trials
- spon_alpha/beta/theta/delta_spike_phases_hit - Phase of each LFP band at the time of each spike during 3 s of baseline activity on hit trials
- spon_alpha/beta/theta/delta_spike_phases_miss - Phase of each LFP band at the time of each spike during 3 s of baseline activity on miss trials
- stim_aligned_psth_action - Peristimulus time histogram on action trials
- stim_aligned_psth_correct - Peristimulus time histogram on correct trials
- stim_aligned_psth_incorrect - Peristimulus time histogram on incorrect trials
- stim_aligned_psth_withheld - Peristimulus time histogram on withheld trials
- template - Normalized spike waveform template
- template_amplitude - Amplitude of spike waveform template
- waveform_class - Classification of spike waveforms based on shape (PS - positive spiking, TS - triphasic spiking, FS - fast spiking, RS - regular spiking, NS - negative spiking)
File: FTR_SLRT.zip
Description: This archive contains session-wide behavioral data for each subject included in the study. Each file contains a MATLAB table corresponding to a single subject, with each row corresponding to a session.File names indicate the subject identifier, genotype, location of Neuropixels implant (R - right, L - left), and experimental phase (1 - classical conditioning, 2 - operant conditioning, 3 - full task).
Table variables:
- session_id - Session ID for each experiment (see descriptions for file names)
- subject_id - Experimental subject for each session
- dprime - Discriminability (unitless)
- criterion - Decision criterion (unitless)
- avg_reaction_time - Average reaction time (s)
- rt_by_outcome - Average reaction time (s) by trial outcome (hit / false alarm)
- dprime_by_previous_outcome - Discriminability given the outcome of the previous trials
- criterion_by_previous_outcome - Decision criterion given the outcome of the previous trials
- rt_by_previous_outcome - Average reaction time (s) given the previous outcome
- last_good_trial - Trial index of the last trial before a period of 2 minutes without behavioral responses (if such a period exists)
- hr - Hit rate
- far - False alarm rate
- qc_ - Behavioral metrics up to and including last_good_trial if there is a period of 2 minutes without behavioral responses (otherwise it includes the whole session)
File: FTR_LFP.zip
Description: This archive contains session-wide local field potential data for each session included in the study. Each file contains a MATLAB table corresponding to a single session, with each row corresponding to an electrode along the Neuropixels probe in a given session. Each file contains a MATLAB table corresponding to a single session, with each row corresponding to a trial in the session. File names indicate the date of the experiment, subject identifier, genotype, location of Neuropixels implant (R - right, L - left), and experimental phase (1 - classical conditioning, 2 - operant conditioning, 3 - full task).
Table variables:
- session_id - Same information as file name
- channel_id - Channel number of the Neuropixels probe
- left_trigger_baseline_spectra_Hit - Average multi-taper spectrum during 3 s of baseline activity prior to stimulus on hit trials
- left_trigger_baseline_spectra_Hit_f - Frequencies (Hz) for multi-taper spectrum during 3 s of baseline activity prior to stimulus on hit trials
- left_trigger_baseline_spectra_Miss - Average multi-taper spectrum during 3 s of baseline activity prior to stimulus on miss trials
- left_trigger_baseline_spectra_Miss_f - Frequencies (Hz) for multi-taper spectrum during 3 s of baseline activity prior to stimulus on miss trials
- right_trigger_baseline_spectra_CR - Average multi-taper spectrum during 3 s of baseline activity prior to stimulus on correct rejection trials
- right_trigger_baseline_spectra_CR_f - Frequencies (Hz) for multi-taper spectrum during 3 s of baseline activity prior to stimulus on correct rejection trials
- right_trigger_baseline_spectra_FA - Average multi-taper spectrum during 3 s of baseline activity prior to stimulus on false alarm trials
- right_trigger_baseline_spectra_FA_f - Frequencies (Hz) for multi-taper spectrum during 3 s of baseline activity prior to stimulus on false alarm trials
- baseline_spectra_correct - Average multi-taper spectrum during 3 s of baseline activity prior to stimulus on correct trials
- baseline_spectra_correct_f - Frequencies (Hz) for multi-taper spectrum during 3 s of baseline activity prior to stimulus on correct trials
- baseline_spectra_incorrect - Average multi-taper spectrum during 3 s of baseline activity prior to stimulus on incorrect trials
- baseline_spectra_incorrect_f - Frequencies (Hz) for multi-taper spectrum during 3 s of baseline activity prior to stimulus on incorrect trials
- baseline_spectra_action - Average multi-taper spectrum during 3 s of baseline activity prior to stimulus on action trials
- baseline_spectra_action_f - Frequencies (Hz) for multi-taper spectrum during 3 s of baseline activity prior to stimulus on action trials
- baseline_spectra_inaction - Average multi-taper spectrum during 3 s of baseline activity prior to stimulus on inaction trials
- baseline_spectra_inaction_f - Frequencies (Hz) for multi-taper spectrum during 3 s of baseline activity prior to stimulus onset on inaction trials
- left/right_trigger_aligned_erp - Event-related potentials (V) for each channel aligned to stimulus
- left_trigger_aligned_erp_Hit - Event-related potentials (V) for each channel aligned to stimulus on hit trials
- left_trigger_aligned_erp_Miss - Event-related potentials (V) for each channel aligned to stimulus on miss trials
- right_trigger_aligned_erp_CR - Event-related potentials (V) for each channel aligned to stimulus on correct rejection trials
- right_trigger_aligned_erp_FA - Event-related potentials (V) for each channel aligned to stimulus on false alarm trials
- left/right_trigger_induced_spectra - Average multi-taper spectrum during 5 s following stimulus
- left/right_trigger_induced_spectra_induced_f - Frequencies (Hz) for multi-taper spectrum during 5 s following stimulus
- left_trigger_induced_spectra_Hit - Average multi-taper spectrum during 5 s following stimulus on hit trials
- left_trigger_induced_spectra_Hit_f - Frequencies (Hz) for multi-taper spectrum during 5 s following stimulus on hit trials
- left_trigger_induced_spectra_Miss - Average multi-taper spectrum during 5 s following stimulus on miss trials
- left_trigger_induced_spectra_Miss_f - Frequencies (Hz) for multi-taper spectrum during 5 s following stimulus on miss trials
- right_trigger_induced_spectra_CR - Average multi-taper spectrum during 5 s following stimulus on correct rejection trials
- right_trigger_induced_spectra_CR_f - Frequencies (Hz) for multi-taper spectrum during 5 s following stimulus on correct rejection trials
- right_trigger_induced_spectra_FA - Average multi-taper spectrum during 5 s following stimulus on false alarm trials
- right_trigger_induced_spectra_FA_f - Frequencies (Hz) for multi-taper spectrum during 5 s following stimulus on false alarm trials
- avg_spectrum_Hit - Averaged spectrogram (time-frequency decomposition) across hit trials
- avg_spectrum_Miss - Averaged spectrogram (time-frequency decomposition) across miss trials
- avg_spectrum_CR - Averaged spectrogram (time-frequency decomposition) across correct rejection trials
- avg_spectrum_FA - Averaged spectrogram (time-frequency decomposition) across false alarm trials
File: Subjects.zip
Description: This archive contains metadata about each subject and their Neuropixels implant (e.g., trajectory and brain regions that were recorded). None folder is a placeholder for compatibility with n-CORTEx (see below).
Code/software
Data collection and analysis were primarily performed in MATLAB. All software used for controlling the behavioral apparatus and data analysis can be found at https://github.com/Neural-Control-Engineering/AlphaModulation_SelectiveDetection, which contains project-specific code, and [https://github.com/NeuralControl-Engineering/n-CORTex](< https://github.com/NeuralControl-Engineering/n-CORTex>>), which provides general-purpose tools for neurophysiological and behavioral data collection and segmentation. The user will need to edit AlphaModulation_SelectiveDetection/Analysis/init_paths.m so that the paths reflect the paths to the data on his or her own system.
