DANDI:000213

Reproducing Tingley and Buzsaki (2018) from dandiset 000213 20

Notebook reproduce_tingley_2018.ipynb

• ✕Not reproducedResults, paragraph 4; Figure 2C and 2D

  The majority of LS neurons (751 of 840, 89%) showed position encoding in their spike theta phase, compared with shuffled data, in at least one condition.

  the majority of LS neurons showed a form of position encoding in their spike timing relative to the phase of theta oscillations ... (751/840,89%; two sample t test; p < 0.01) when compared to shuffled data, in at least one of the behavioral conditions

  Results, paragraph 4; Figure 2C and 2D

  408 of 783 decoded active LS neurons (52.1%) decode position from phase better than chance at p < 0.01 in at least one condition, against 89%; 66.0% at p < 0.05 and 43.3% at p < 0.001. Per rat 39% (DT2) to 63% (DT9). 23.2% of conditions pass. The rate code passes its own chance test in 54.4% of neurons. Mean MSE over LS conditions is 6,359 for phase against 6,839 for its chance; uniform guessing over 200 bins gives 6,666. In the 37 sessions whose theta channel has more 6 to 9 Hz than 1 to 4 Hz power the fraction is 52.9%, against 51.1% in the others, so the weak theta of DT5 does not account for the gap.

  How the test differed from the paper’s method

  • Linearization (path fraction, 200 bins), conditions and the theta channel are rebuilt; the paper's are not in the dandiset.
  • The binning of spike phases (bz_phaseMap2Bins) is not public; the circular mean per bin is used.
  • 10 active LS neurons of DT2 20160217, which has no hippocampal channel, are not decoded.
• ✕Not reproducedResults, paragraph 4; Figures 2F and 2G

  Spike-phase decoding outperformed rate decoding of the rat's position for 786 of 840 LS neurons, 3,046 of 4,393 conditions, and 62 of 62 sessions.

  Spike-phase-based decoding outperformed firing rate-based decoding of the rat’s position on the tracks (Figures 2F and 2G) whether we made the comparison at the level of LS neurons (N = 786/840; two-sample t test; p < 0.01), conditions (N = 3,046/4,393), or recording sessions (N = 62/62).

  Results, paragraph 4; Figures 2F and 2G

  Phase beats rate at p < 0.01 in 662 of 783 neurons (84.5%, paper 93.6%), 1,762 of 3,660 conditions (48.1%, paper 69.3%) and 58 of 58 sessions (paper 62 of 62). The neuron and condition fractions are outside tolerance and fewer than half the conditions pass, so the criterion gives not reproduced; the direction holds in every rat (neurons 72% to 95%) and session, and rate beats phase in 5.3% of conditions. At p < 0.05, 89.5% of neurons and 60.1% of conditions; in the 37 sessions with a theta ratio above 1, 87.5% and 52.8%; with whole trials held out, 72.9% and 35.4%. Samples are split at random as in the paper's per-cell decoder (randperm over all trial-by-bin samples in scratch_07_11_17_spatialBinnedMaxCorr.m).

  How the test differed from the paper’s method

  • As for fig2-ls-phase-vs-shuffle.
  • 58 sessions are decoded, not 62; DT2 20160217 has no theta reference, and three sessions have no LS condition that passes.
• ✕Not reproducedResults, paragraph 2; Figure 1I

  For hippocampal place fields the distributions of rate and phase decoding errors are statistically equivalent (two-sample KS test; 1,820 place fields, p = 0.19; 45 sessions, p = 0.61).

  the distributions of mean squared errors for these two forms of encoding were statistically equivalent ... (Figure 1I; two-way Kolmogorov-Smirnov [KS] test; N = 1,820 place fields comparison p = 0.19; N = 45 sessions; p = 0.61)

  Results, paragraph 2; Figure 1I

  What the paper reports

  • rate against phase MSE over place fields: two-way Kolmogorov-Smirnov test, p = 0.19 (n = 1,820 place fields)
  • rate against phase MSE over sessions: two-way Kolmogorov-Smirnov test, p = 0.61 (n = 45 sessions)

  Changed from reproduced in revision, after the place fields were found on the Gaussian rate map the paper's code uses. The two-sample KS test finds a difference between phase and rate MSE over 531 place fields (D = 0.085, p = 0.044), so the claim of absence fails; over 42 sessions it finds none (D = 0.167, p = 0.61). The mean phase minus rate MSE is -234 bins squared (fields) and -126 (sessions). Per rat only DT2 differs (KS p = 0.001; DT5, DT7, DT9 p = 0.51 to 0.79). With the 318 fields of the 5-bin box map, p = 0.097. Over all 5,045 included hippocampal conditions the distributions differ (p = 7.4e-48); with whole trials held out the fields differ too (KS p below 0.001); and without the rule dropping peaks whose SD across trials exceeds their mean, 2,320 fields differ (D = 0.104, p below 0.001).

  How the test differed from the paper’s method

  • 531 fields in 42 sessions, against 1,820 in 45; the field detector finds fewer fields than the paper's.
• ✕Not reproducedResults, paragraph 4

  The few LS rate maps with a place field were less stable across trials than CA1/CA3 place fields (median coefficient of variance 41.5 against 10; two-sample t test, p < 1e-20).

  Those few LS ratemaps that did qualify as having a “place field” were significantly less stable across trials than CA1/CA3 place fields (median coefficient of variance = 41.5 for LS versus 10 for CA1/CA3 place fields; two sample t test

  Results, paragraph 4

  What the paper reports

  • two sample t test, p < 10⁻²⁰

  Changed from partially reproduced in revision, after the place fields were found on the Gaussian rate map the paper's code uses (makeFig2.m also takes the SD from that map). Under reading (a), the SD at the peak that makeFig2.m computes, the LS median (3.5 Hz) is below the hippocampal one (6.4 Hz, t = -7.76, p = 2.8e-14), the reverse of the claim. Under reading (b), SD over mean, the medians are 86.2% and 83.6% and do not differ (t = 1.56, p = 0.12). No reading has LS higher at p < 0.05.

  How the test differed from the paper’s method

  • The paper does not define its coefficient of variance; two readings are shown.
  • 198 LS and 531 hippocampal fields, against 232 and 1,820.
• ✕Not reproducedResults, paragraph 6; Figure 4E

  The theta phase at the onset of LS phase fields varies with recording depth (DT5 r = 0.38, DT9 r = 0.25, DT2 r = 0.27; circular-linear correlation, p < 0.001).

  the phase onset for precession varied systematically and significantly with recording depth (DT5 r = 0.38, DT9 r = 0.25, DT2 r = 0.27; circular/linear correlation; p < 0.001).

  Results, paragraph 6; Figure 4E

  What the paper reports

  • circular/linear correlation, DT5 r = 0.38, DT9 r = 0.25, DT2 r = 0.27, p < 0.001

  Circular-linear r between onset phase and LS depth is 0.082 (p = 0.57, 169 neurons) in DT5, 0.072 (p = 0.78, 98) in DT9 and 0.118 (p = 0.65, 62) in DT2, against 0.38, 0.25 and 0.27 at p < 0.001. Using every significant condition gives r = 0.06 to 0.16, p above 0.27. Keeping only the sessions whose theta channel has the rat's most common label (hpc in DT5 and DT9) gives r = 0.027 (p = 0.96) and 0.170 (p = 0.37).

  How the test differed from the paper’s method

  • As for fig4d-depth-gradient. The theta channel is chosen per session and may sit in a different layer from session to session, which shifts phases between sessions.
  • Neurons are selected by this attempt's phase test (52% of neurons pass, against 89%).
• ✕Not reproducedResults, paragraph 9; Figure 6C

  Theta phase coherence between LS and the CA3 pyramidal layer increases from the beginning to the end of the run, while coherence between LS and CA1 stays relatively flat.

  LFP theta phase coherence between LS and CA1 pyramidal layer sites was relatively flat during the entire span of the tracks. In contrast, theta phase coherence between LS and CA3 pyramidal layer increased significantly from the beginning to the end of run (Figure 6C).

  Results, paragraph 9; Figure 6C

  In 11 CA3 sessions (DT5 6, DT9 5) the median slope of LS-hippocampal theta phase locking on position segment is 0.0026 (signed-rank p = 0.83, 7 of 11 positive); in 36 CA1 sessions -0.0018 (p = 0.35). CA3 slopes are not above CA1 slopes (Mann-Whitney p = 0.35), nor within DT5 (p = 0.18) or DT9 (p = 0.91). Mean locking is 0.74 to 0.76 (CA3) and 0.78 to 0.81 (CA1) over the ten segments. With the 19 sessions without hippocampal units counted as CA1, as in the first version, p = 0.24.

  How the test differed from the paper’s method

  • Phase locking value of the 4 to 12 Hz phase difference in 150 ms windows, not multitaper coherence.
  • The hippocampal channel is the chosen theta channel, labelled ca3 in the CA3 sessions and hpc (or unknown, in DT2) in the CA1 sessions; no session has both labels, where the paper's Figure 6A implies sessions with both a CA1 and a CA3 site. The sessions without hippocampal units (17 DT8, 2 DT7) are left out, as the criterion groups sessions by their unit labels.
• ✕Not reproducedResults, paragraph 9; Figure 6D

  Coupling between hippocampal theta phase and LS gamma amplitude increases along the run for both CA1 and CA3, and is stronger for CA3-LS than for CA1-LS.

  Although the strength of coupling increased in both cases, it was significantly stronger for CA3-LS than for CA1-LS comparisons (Figure 6D).

  Results, paragraph 9; Figure 6D

  Changed from reproduced in revision. The first version put the 19 sessions without hippocampal units in the CA1 group, against the criterion; with the criterion's grouping (36 CA1 sessions) theta-gamma coupling is not higher in CA3 than CA1 sessions at p < 0.05 (medians 0.059 and 0.051, Mann-Whitney p = 0.089), which the criterion needs for a full or a partial outcome. Coupling rises along the run in both groups (CA3 slope 0.0036 per segment, p = 0.002, 10 of 11 positive; CA1 0.00125, p = 0.001, 24 of 36). Within DT5 CA3 coupling is higher (p = 0.011); within DT9 it is not (CA3 0.049 against CA1 0.057, p = 0.88). Per rat the CA1 medians span 0.027 (DT2) to 0.090 (DT7); the CA3 group is two rats.

  How the test differed from the paper’s method

  • As for fig6c-ca3-coherence-increases for the channel and grouping.
• ✕Not reproducedResults, paragraph 4; Figure S7; STAR Methods, ensemble position prediction

  The firing phases of ensembles of simultaneously recorded LS neurons read out position better than the firing phases or rates of an equal number of hippocampal neurons (p < 0.001 at 15 to 25 neurons).

  the firing phases of ensembles of simultaneously recorded LS neurons (range: 1–53) provided a better readout of spatial position than either the firing phases or rates of an equivalent number of HPC neurons (Figure S7; two-sample t test; p < 0.001 at ensemble sizes of 15–25 neurons)

  Results, paragraph 4; Figure S7; STAR Methods, ensemble position prediction

  What the paper reports

  • two-sample t test, p < 0.001 (n = ensemble sizes of 15–25 neurons)

  In 65 conditions from 13 sessions (DT2, DT5, DT9) with at least 15 active LS and 15 hippocampal units, ensembles of 15 give MSE 4,738 for LS phase, 4,597 for hippocampal phase and 3,119 for hippocampal rate; LS phase is worse than both (one-sided p for LS phase higher = 5.8e-04 and 3e-186). At 20 units (7 conditions) the same (differences +290 and +1,668). At 25 units (3 conditions) LS phase MSE is below hippocampal phase (3,459 against 3,746, one-sided p = 0.0075, which treats the ensemble draws within a condition as independent and so overstates the evidence) but not below hippocampal rate (2,259).

  How the test differed from the paper’s method

  • The Methods' Poisson naive Bayes on discretized phases is followed with choices fixed in the claims file (20 equal-width levels, 10 ensembles per size); Figure S7 was not read.
• ✕Not reproducedResults, paragraph 7; Figure 5D to 5F

  Spike trains of hippocampal neurons predicted LS firing in 18.5% (2,087 of 11,264) of hippocampal-LS pairs, with a median optimal timescale of 25 ms.

  Across 18.5% (2,087/11,264) of hippocampal-LS cell pairs examined, spike trains of hippocampal neurons reliably predicted the firing of action potentials in LS neurons ... the median optimal timescale for peer prediction was 25 ms (Figure 5F)

  Results, paragraph 7; Figure 5D to 5F

  Changed from blocked in revision, at the verifier's request, by testing a random sample of pairs. Of 670 sampled pairs (of 70,898 hippocampal-LS pairs active in the same condition, counted per condition; 20,979 pairs of active units recorded together, against the paper's 11,264), 35 form an assembly of strength at least 4 (5.2%, 95% interval 3.7% to 7.2%), against 18.5%, and the median best window of the assemblies is 20 ms, against 25. Both are outside the criterion. The real gain beats all ten shuffles in 35.4% of pairs; this has no 1 in 11 reference, as the window is chosen on the real fit and the shuffles run only at that window. With thresholds of 1.5, 2 and 8 the fractions are 19.4%, 12.7% and 1.8%. Per rat 0% (DT7, 5 pairs) to 10.2% (DT5). With the LS unit's rate map at the current position added as a covariate, 5.5% (95% interval 3.9% to 7.5%), so the linear coding of position does not account for the low fraction.

  How the test differed from the paper’s method

  • A random 1% of the pairs, as all pairs need about 12 process-hours at about 0.6 s per pair measured in this run (1.2 s in the previous run).
  • The bin size (1 ms), the Gaussian kernel, the window grid (13 windows from 1 to 150 ms) and the covariate coding are choices made here; the Methods do not give them and the paper's assembly code is not public. Shuffles are run at the best window only.
  • Pairs are counted once per condition in which both units are active, as the Methods imply (one strength per pair and block of trials).
• ◐Partially reproducedResults, first paragraph; Figure 3A legend

  The hippocampal recordings hold 2,297 isolated CA1 units and 654 CA3 units (2,951 in all, Figure 3A).

  First, we examined the firing patterns of 1,587 place fields of 2,297 isolated CA1 units and 224 place fields of 654 CA3 units ... (N = 2,951 units, A)

  Results, first paragraph; Figure 3A legend

  2,593 units are labelled hpc (+12.9% on 2,297 CA1 units, outside tolerance) and 624 ca3 (-4.6% on 654, within); the sum, 3,217, is 9.0% above 2,951. 36 sessions hold hpc units and 11 ca3 units, where Figure 6A gives 63 CA1 and 19 CA3 sessions.

  How the test differed from the paper’s method

  • The labels hpc and ca3 are read as CA1 and CA3; the dandiset does not define hpc.
  • The criterion was written after the counts had been seen in the data check.
• ◐Partially reproducedFigure 2F and 2G legends

  The mean phase minus rate MSE is about -1,000 for LS conditions and -33 for hippocampal place fields, and -1,024 and -25 for LS and hippocampal sessions.

  for all conditions for lateral septum (LS) cells (magenta; N = 4,393, mean = − 1,000) and hippocampal place fields (black; N = 1,820, mean = − 33) ... (black; N = 45 sessions, mean = − 25) and lateral septum (magenta; N = 62 sessions, mean = − 1,024)

  Figure 2F and 2G legends

  The LS condition mean, -1,045, is within tolerance of -1,000; the LS session mean, -1,132, is just outside -1,024 plus or minus 102; the hippocampal place field mean (-234) and session mean (-126) are far from -33 and -25. LS values are larger in magnitude than the hippocampal ones at both levels. Per rat the LS mean runs from -565 (DT7) to -1,428 (DT2).

  How the test differed from the paper’s method

  • MSE is in bins squared with 200 bins of about 1.1 cm; the paper's bin count is not given.
  • Only 531 hippocampal place fields are found against 1,820 (see ls-few-place-fields).
• ◐Partially reproducedResults, paragraph 4

  Only 5.3% (232 of 4,393) of LS rate maps showed place fields by the criteria applied to hippocampal units, where 31.7% (1,820 of 5,735) did.

  only 5.3% (232/4,393) of LS ratemaps showed place fields, using the same criteria we applied to hippocampal units where 31.7% (1,820/5,735) of ratemaps displayed a place field.

  Results, paragraph 4

  Changed from not reproduced in revision, after the place fields were found on the Gaussian rate map the paper's code uses. 198 of 3,694 LS rate maps have a field (5.4%, within tolerance of 5.3%) and 531 of 5,045 hippocampal maps (10.5% against 31.7%, outside); the LS fraction is lower (chi-squared p = 8.9e-18), the partial outcome of the criterion. The hippocampal fraction is 8.0% to 13.6% per rat. With a Gaussian of SD 5 bins the fractions are 4.9% and 11.6%; with the 5-bin box map 5.8% and 6.3% (p = 0.40); with the 1% threshold of the code's default 0.4% and 4.6%. Without the rule dropping peaks whose SD across trials exceeds their mean they are 20.0% and 46.0%, so that rule accounts for most of the hippocampal shortfall, and no setting matches both of the paper's fractions.

  How the test differed from the paper’s method

  • Per-trial rate maps are smoothed with a Gaussian of SD 4 bins (FMAToolbox Smooth in bz_firingMap1D rateMaps, with tau = round(nBins/50) as in scratch_07_25_17_calc_firingMaps.m); the paper's bin count is not known. The Methods' widths (8 and 120 cm) are converted to 5 and 80 bins at the paper's 1.5 cm per bin, and the 2 Hz peak and 20% threshold of the Methods are used; the code's 1% default is shown as a variant.
  • Per-trial rate maps come from a linearization by path fraction with about one position sample per bin and trial, which probably makes the code's rule dropping peaks whose SD across trials exceeds their mean strict.
• ◐Partially reproducedSTAR Methods, place field definition

  711 of 1,425 hippocampal neurons had at least one place field (1.27 fields per neuron on average); the median peak in-field rate was 8.5 Hz and the median field width 38 bins.

  Given these criteria, 711 of 1,425 HPC neurons had at least one place field with a mean of 1.27 ± 1.76 fields per neuron ... The median peak in-field firing rate was 8.5 ± 12 Hz, and the median field width was 38 ± 16 spatial bins (~57 cm).

  STAR Methods, place field definition

  301 of 1,314 active hippocampal neurons have a field (22.9% against 49.9%, outside tolerance), with 0.47 fields per neuron against 1.27; the median peak rate, 8.4 Hz, and the median width, 39 bins over 614 fields, are within tolerance of 8.5 Hz and 38 bins. The peak rate is the RMS-smoothed peak, as bz_getPlaceFields1D reports it. Under the variants of the map and threshold the fraction is 12.4% to 24.1% (14.7% with the 5-bin box map), and 62.3% without the rule dropping peaks whose SD across trials exceeds their mean.

  How the test differed from the paper’s method

  • As for ls-few-place-fields.
• ◐Partially reproducedResults, paragraph 1; Figure 1E

  Hippocampal place fields reach their peak information at smaller smoothing scales for phase than for rate (medians 15 and 29 bins; two-sample t test, p < 1e-40).

  The mean peak information rate occurred at consistently smaller spatial scales for phase “coding” compared to discharge frequency coding (Figure 1E; N = 1,820; two-sample t test

  Results, paragraph 1; Figure 1E

  What the paper reports

  • two-sample t test, p < 10⁻⁴⁰ (n = 1,820 place fields)

  Peak information is reached at a median smoothing of 10 bins for phase and 17 for rate (paper 15 and 29), t = -11.18, p = 1.9e-27, over 525 and 493 fields kept of 531. Phase is below rate in each rat (medians 7 to 15 against 16 to 19).

  How the test differed from the paper’s method

  • The information function of the paper (olypherInfo) is not public; the measure is built from the Methods' formula with choices fixed in the claims file.
  • Bins are about 1.1 cm against the paper's 1.5 cm, which shrinks the medians in bins.
  • At the same nominal span the rate and phase smoothings differ slightly (MATLAB smooth drops an even span by one; circ_smoothTS uses 2 ceil(w/2) + 1 bins), as in the paper's code.
• ◐Partially reproducedResults, paragraph 1; Figure 1G

  At smoothing below 6 cm (about one theta cycle) phase carries more spatial information than rate in hippocampal place fields, and above 10 cm rate carries more.

  For smoothing windows less than 6 cm ... the phase code carried significantly (two sample t test; p < 0.00001; N = 1,820 place fields) more spatial information than the firing rate code (Figure 1G), whereas at spatial scales larger than 10 cm the firing rate code was more informative.

  Results, paragraph 1; Figure 1G

  What the paper reports

  • phase against rate information at smoothing below 6 cm: two sample t test, p < 10⁻⁵ (n = 1,820 place fields)

  At 7 to 50 bins rate carries more information than phase at p < 0.05 in 42 of 44 smoothings (95%; difference -0.008 at 7 bins to -0.033 at 50). At 2 bins phase is higher (+0.018, p = 2.1e-5); at 3 bins it is higher by +0.006, not significantly (p = 0.16). Neither reaches the criterion's p < 1e-5.

  How the test differed from the paper’s method

  • As for fig1e-phase-info-smaller-scale. Spans of 3 and 4 bins give the same smoothing, and so do 5 and 6; for rate because MATLAB smooth reduces even spans by one, for phase because circ_smoothTS uses 2 ceil(w/2) + 1 bins.
• ◐Partially reproducedResults, paragraph 6; Figures 4A to 4D

  The strength of phase coding relative to rate coding increases with recording depth within the LS, within sessions and across animals.

  Within single recording sessions in individual rats (Figures 4A and 4B) and across all animals (Figures 4C and 4D) the strength of phase coding, relative to rate coding, reliably increased as a function of recording depth within LS.

  Results, paragraph 6; Figures 4A to 4D

  With depth and session value centred within rat, r = -0.365 (p = 0.005, 58 sessions). Per rat r = -0.70 (DT2, p = 0.034), -0.43 (DT5, p = 0.10), -0.62 (DT9, p = 0.024) and +0.24 (DT8, p = 0.36); DT7 has three sessions. Without centring r = -0.10 (p = 0.45). With the second depth of the name the per-rat signs are the same, and the pooled centred r is -0.268 (p = 0.042). The within-session part could not be tested, as the dandiset gives no recording site per unit.

  How the test differed from the paper’s method

  • The LS depth is the first number in the session name, an assumption; the dandiset does not describe the depths. It rests on DT9, where units are labelled ca3 exactly when the second depth is 828 um or more; in DT5 the hpc and ca3 files alternate at second depths of 2232 to 2448 um, and DT8 does not settle it.
  • Session depth only; the paper adds the site of each unit on the shank.
• ◐Partially reproducedResults, paragraph 4

  LS rate maps have lower peak information rates than hippocampal place field maps (0.4 against 1.7 bits/cm; p < 1e-100).

  LS action potential ratemaps had significantly lower peak information rates than hippocampal place field maps (average of 0.4 bits/cm versus 1.7 bits/cm; two-sample t test

  Results, paragraph 4

  What the paper reports

  • two-sample t test, p < 10⁻¹⁰⁰

  Changed from blocked in revision, after the verifier noted that the direction could be tested; the criterion was added then. LS rate maps carry less peak information than hippocampal place-field maps (means 0.632 and 1.490 bits/cm over 2,873 and 301 maps, t = -40.3, p = 6.0e-287, below the paper's 1e-100), but neither value is within tolerance under either reading (medians 0.556 and 1.435). Per rat the LS means are 0.52 to 0.66 and the hippocampal means 1.06 to 1.60.

  How the test differed from the paper’s method

  • The paper does not say how its per-bin information becomes bits per cm, at which smoothing the maps were compared, or how its information function normalizes; the measure of fig1e-phase-info-smaller-scale on the place-field map, divided by the bin size, is used, so the scale of the values is uncertain.
  • DT2 is left out, as its positions are in pixels.
• ✓ReproducedResults, paragraph 4; Figure 2G (N = 62 sessions)

  A total of 1,647 LS neurons were recorded from five animals, in 62 sessions.

  We recorded a total of 1,647 LS neurons from five animals ... lateral septum (magenta; N = 62 sessions

  Results, paragraph 4; Figure 2G (N = 62 sessions)

  1,696 units are labelled ls (DT2 375, DT5 480, DT7 60, DT8 296, DT9 485), 3.0% more than 1,647, in 62 sessions, and all five rats hold LS units. 43 units of DT7 20170317 carry no region label and are not counted.

  How the test differed from the paper’s method

  • The criterion was written after the counts had been seen in the data check.
• ✓ReproducedResults, paragraph 4; STAR Methods, position prediction analysis

  Of the LS neurons, 840 fired at least 1.5 action potentials per trial on average.

  We recorded a total of 1,647 LS neurons from five animals, of which 840 surpassed a minimum threshold of at least 1.5 action potentials per trial on average

  Results, paragraph 4; STAR Methods, position prediction analysis

  793 LS neurons pass (-5.6% on 840), over 3,694 neuron-condition pairs against the paper's 4,393; 1,630 of 1,696 LS units have a condition with at least 10 trials. With 1.0, 2.0 and 3.0 spikes per trial the count is 932, 707 and 563.

  How the test differed from the paper’s method

  • Conditions are formed from trial type, direction and start and end site, as the paper's trial conditions are not in the dandiset; the count depends on them.
• ✓ReproducedResults, paragraph 4; Figure 2E

  Across LS neurons the spike-phase code is stronger than the rate code (two-sample t tests; N = 4,393 conditions, p < 1e-100; N = 62 sessions, p < 1e-10).

  Across the population of LS neurons, we observed significantly stronger spike-phase coding when compared with models that utilized spike rate information (Figure 2E; two sample t tests; N = 4,393 conditions

  Results, paragraph 4; Figure 2E

  What the paper reports

  • phase against rate MSE over LS conditions: two sample t test, p < 10⁻¹⁰⁰ (n = 4,393 conditions)
  • phase against rate MSE over sessions: two sample t test, p < 10⁻¹⁰ (n = 62 sessions)

  Over 3,660 LS conditions phase MSE is 6,359 and rate MSE 7,404 (t = -33.8, p = 2.5e-232); over 58 sessions 6,349 and 7,481 (p = 2.9e-23). Each rat gives phase lower (DT7 p = 0.018, others below 1e-38). In the 37 sessions with a theta ratio above 1, p = 2.9e-147. With whole trials held out, 6,527 against 7,920.

  How the test differed from the paper’s method

  • As for fig2-ls-phase-vs-shuffle.