Figures and data
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Mice alter choices to changing reward probabilities in a probabilistic switching task
(A) Illustration of the animal movements and epochs (Trial Start, Choice, and Evaluation) of a single trial in the probabilistic two-port choice task. (B) A sample of a behavioral session showing periods when the highly rewarded port is on the left (white) and when it switches to the right (gray). The reward probabilities switch (dotted vertical lines) once 50 rewards are gained by the animal. Rewarded trials are represented by black circles and unrewarded trials are red circles, reward probabilities are 70/30. (C) Probability distributions of different behavioral events during rewarded (top) and unrewarded (bottom) trials to illustrate the timing of different events within a trial (one session (∼500 trials), 90/10 rew. prob). CE=Center Entry, CX=Center Exit, SE=Side Entry, FL=First Lick, SX=Side Exit. (D) The probability of choosing the highly rewarded port (p(high port)) around a block transition (dotted vertical line) for different reward probabilities (black line = mean, shaded area=SEM). (Inset) Bar plot showing taup(high port) (time constant) calculated from an exponential fit to the first 20 trials following a block transition for each animal (circles) (bar = mean, error bar= SEM) in the different reward probabilities. (E) The probability of choosing different side ports on consecutive trials (p(switch)) around a block transition (dotted vertical line) for different reward probabilities (black line = mean, shaded area=SEM). (Inset) Bar plot showing the maximum p(switch) in the 20 trials that follow a block transition for each animal (circles) (bar = mean, error bar= SEM) in the different reward probabilities. (F) The probability of choosing the highly rewarded port on all trials across reward probabilities (bar = mean, error bar= SEM). (G) The probability that a trial results in a reward across reward probabilities (bar = mean, error bar= SEM). (H) p(switch) across all trials for different reward probabilities (bar = mean, error bar= SEM). (I) p(switch) for trials following a rewarded trial for different reward probabilities, percentages in bars represent the proportion of rewarded trials for each condition, also shown in (G) (bar = mean, error bar= SEM). (J) p(switch) for trials following an unrewarded trial for different reward probabilities, percentages in bars represent the proportion of unrewarded trials for each condition (bar = mean, error bar= SEM). For D-J n=9 mice, 8-10 sessions/mouse/rew. prob, ∼550 trials/session.
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P(switch) across different trial histories, additional behavioral metrics, and behavioral modeling using a recursively formulated logistic regression.
(A) The probability of choosing the highly rewarded port (p(high port), 90/10 rew. prob.) around a block transition (dotted vertical line) for individual mice (gray lines) and mean (black line = mean, shaded area=SEM). (B) The probability of choosing different side ports on consecutive trials (p(switch)) around a block transition (dotted vertical line) for individual mice (gray lines) and mean (black line = mean, shaded area=SEM). (C) P(switch) for left and right choices for an individual animal. Each dot represents a trial type (n=30 trial types) with a different history of choices and rewards for three trials prior. (D) Nomenclature for describing trial types with different reward histories (capital vs lowercase) and choice directions (right vs left). As animals show roughly symmetric p(switch) for left and right choices (See (C)) those trial types have been collapsed. (E) p(switch) for trial types segregated by reward history and choice direction across different reward probabilities, percentages above bars refer to the percentage of trials in each category for the different reward probabilities (bar = mean, error bar = 95% CI). (F) (left to right) Inter-trial interval, choice bias, and trial duration across different reward probabilities (bar = mean, error bar = 95% CI). (G) Violin plot showing the distribution of the number of trials completed in a ∼40 min session for different reward probabilities (dots = individual session, horizontal bar=median). (H) Trial duration following previously rewarded or unrewarded trials across different reward probabilities for “repeat” choices only (bar = mean, error bar = 95% CI). (I) Histogram showing the distribution of block lengths (number of trials prior to a block transition) for different reward probabilities. (J) The Recursively Formulated Logistic Regression (RFLR) model, which calculates the log odds of the mouse’s next choice (Ψt+1) given its most recent choice (ct) and a series of prior choices and rewards. ct represents choice, rt represents reward outcome on trial (t), relative to current trial i=0. α (alpha) is the weight of the most recent choice, β (beta) is the weight on the choice and reward outcome which decays exponentially across trials at a rate of τ (tau). (K) Summary of RFLR model coefficients across reward probabilities (coefficients highlighted in yellow in (J)), each dot represents an individual mouse (bar = mean, error bar = SEM, negative log-likelihood of fits were equivalent across reward probabilities; 90/10= −0.25 SD=0.03; 80/20= −0.24 SD=0.03; 70/30=-0.25 SD=0.02). (L) Exponential decay of choice and reward evidence (beta) for 8 trials in the past. Exponential fits made beta and tau coefficients observed for different reward probabilities and shown in (K).
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Model (RFLR) predictions for p(high port) and p(switch) around a block transition for different reward probabilities.
(A) (top) The probability of choosing the highly rewarded port (p(high port), 90/10 rew. prob.) around a block transition (dotted vertical line). RFLR model predictions (grey) trained on 70% of the 90/10 trials and compared to the remaining 30% of trials (red), (black line = mean, shaded area=SEM). (Bottom) The probability of choosing different side ports on consecutive trials (p(switch)) around a block transition (dotted vertical line). RFLR model predictions (grey) trained on 70% of the 90/10 trials and compared to the remaining 30% of trials (red), (black line = mean, shaded area=SEM). (B) (top) The probability of choosing the highly rewarded port (p(high port), 80/20 rew. prob.) around a block transition (dotted vertical line). RFLR model predictions (grey) trained on 70% of the 80/20 trials and compared to the remaining 30% of trials (blue), (black line = mean, shaded area=SEM). (Bottom) The probability of choosing different side ports on consecutive trials (p(switch)) around a block transition (dotted vertical line). RFLR model predictions (grey) trained on 70% of the 80/20 trials and compared to the remaining 30% of trials (blue), (black line = mean, shaded area=SEM). (C) (top) The probability of choosing the highly rewarded port (p(high port), 70/30 rew. prob.) around a block transition (dotted vertical line). RFLR model predictions (grey) trained on 70% of the 70/30 trials and compared to the remaining 30% of trials (green), (black line = mean, shaded area=SEM). (Bottom) The probability of choosing different side ports on consecutive trials (p(switch)) around a block transition (dotted vertical line). RFLR model predictions (grey) trained on 70% of the 70/30 trials and compared to the remaining 30% of trials (green), (black line = mean, shaded area=SEM).
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Neural activity in EPSst+ neurons encodes both choice and value.
(A) Viral injection location for specific infection of EPSst+neurons with GCaMP6f in a Sst-Flp mouse line and fiber implant location for photometry recording. (B) Fiber photometry recording of EPSst+ neurons for individual trials during a behavioral session. Trials are aligned to center port entry (CE) and red dots indicated side port entry (SE). Only trials to the ipsilateral side (relative to the photometry recording) are shown and are divided by rewarded (left) and unrewarded (right) trials. (C) Averaged (±SEM) photometry signals across all mice aligned to center port entry (CE, top) or side port entry (SE, bottom) grouped by ipsilateral (green) and contralateral (magenta) choice (all sessions are at 90/10 reward probability, n=6 mice, 49 sessions, 20,355 trials). (right) Points represent the mean z-scored fluorescence per animal for the 500ms period immediately following the behavioral event, bars represent mean across animals ±SEM (all sessions are at 90/10 reward probability, n=6 mice, 49 sessions, 20,355 trials). (D) Averaged photometry (±SEM) signals across all mice aligned to side port entry (SE) grouped by rewarded (blue) or unrewarded (red) outcomes and divided by ipsilateral choice (top) or contralateral choice (bottom). (right) Points represent the mean z-scored fluorescence per animal for the 500ms period immediately following the behavioral event, bars represent mean across animals ±SEM (all sessions are at 90/10 reward probability, n=6 mice, 49 sessions, 20,355 trials). (E) Averaged (±SEM) photometry signals across different reward probabilities aligned to center port entry (CE) and divided by ipsilateral (top) and contralateral (bottom) choice. (right) Points represent the mean z-scored fluorescence per animal for the 500ms period immediately following the behavioral event, bars represent mean across animals ±SEM (90/10: n=6 mice, 49 sessions, 20,355 trials, 80/20: n=6 mice, 54 sessions, 27,433 trials, 70/30: n=6 mice, 49 sessions, 27,174 trials). (F) Averaged (±SEM) photometry signals across different reward probabilities aligned to side port entry (SE) and divided by rewarded (top) and unrewarded (bottom) outcomes. (right) Points represent the mean z-scored fluorescence per animal for the 500ms period immediately following the behavioral event, bars represent mean across animals ±SEM (90/10: n=6 mice, 49 sessions, 20,355 trials, 80/20: n=6 mice, 54 sessions, 27,433 trials, 70/30: n=6 mice, 49 sessions, 27,174 trials).
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Alignment of photometry signals from EPSst+ neurons to different behavioral events and comparisons accounting for reward history on 90/10 reward probability.
(A) Control fiber photometry recording of EPSst+ neurons expressing static fluorophore tdTomato for individual trials during a behavioral session. Trials are aligned to center port entry (CE) and red dots indicate side port entry (SE). Only trials to the ipsilateral side (relative to the photometry recording) are shown and are divided by rewarded (left) and unrewarded (right) trials. (B) Averaged (±SEM) photometry signals across one mouse aligned to center port entry (CE, left) or side port entry (SE, right) for ipsilateral unrewarded trials. Traces show mean z-scored fluorescence intensity changes of simultaneously recorded from GCamp6f (green) and control fluorophore tdTomato (red). (C) Averaged (±SEM) photometry signals across all mice aligned to side port entry (SE), divided by unrewarded (left) or rewarded (right) outcome and grouped by ipsilateral (green) and contralateral (magenta) choice (90/10 reward probability, n=6 mice, 49 sessions, 20,355 trials). (C) Averaged (±SEM) photometry signals across all mice aligned to center port exit (CX, top) or side port exit (SX, bottom) grouped by ipsilateral (green) and contralateral (magenta) choice show similar changes during ipsiversive movements (90/10 reward probability, n=6 mice, 49 sessions, 20,355 trials). (E) Averaged (±SEM) photometry signals across all mice aligned to side port exit (SX) grouped by rewarded (blue) or unrewarded (red) outcomes. (right) Points represent the mean z-scored fluorescence per animal for the 500ms period immediately following the behavioral event, bars represent mean across animals ±SEM (all sessions are at 90/10 reward probability, n=6 mice, 49 sessions, 20,355 trials). (F) Ipsilateral trial-averaged (±SEM) photometry signals across all mice aligned to side entry (SE) divided by unrewarded (top) and rewarded (bottom) outcome, grouped by whether the previous trial (also ipsilateral) was rewarded (blue) or unrewarded (gray) plotted to examine if reward history impacts photometry signals. (right) Points represent the mean z-scored fluorescence per animal for the 500ms period immediately following the behavioral event, bars represent mean across animals ±SEM (all sessions are at 90/10 reward probability, n=6 mice, 49 sessions). (G) Contralateral trial averaged (±SEM) photometry signals across all mice aligned to side entry (SE) divided by unrewarded (top) and rewarded (bottom) outcome, grouped by whether the previous trial (also contralateral) was rewarded (blue) or unrewarded (gray) plotted to examine if reward history impacts photometry signals. (right) Points represent the mean z-scored fluorescence per animal for the 500ms period immediately following the behavioral event, bars represent mean across animals ±SEM (all sessions are at 90/10 reward probability, n=6 mice, 49 sessions). (H) Averaged (±SEM) photometry signals across all mice aligned to side entry (SE) divided by ipsi-rewarded (left) and contra-rewarded (right) trial types, grouped by whether the previous trial (opposite choice from current trial, i.e. “switch trials”) was rewarded (blue) or unrewarded (gray) plotted to examine if reward and choice history impacts photometry signals (all sessions are at 90/10 reward probability, n=6 mice, 49 sessions).
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Generalized Linear Model of EPSst+ neural activity during behavior.
(A) GLM workflow: behavioral variables are convolved with their kernels. Each time shift in the kernel consists of an independent β coefficient fit jointly by minimizing a cost function. The convolved signals are then summed to generate a reconstructed signal which can be directly compared to the original photometry trace. (B) The original dataset is divided into training and test datasets. The GLM is fit on the training data and evaluated on the test data using mean squared error (MSE). Following a grid search that compared multiple regularization types (ridge, elastic net, ordinary least squared) in combination with a large hyperparameter space, ridge regression (α=1) was found to give the smallest error following cross-validation. (C) Kernels for the behavioral variables included as features in the GLM. Behavioral predictors gave information regarding choice (Ipsi/Contra), reward and port entry and exit. (D) Average original (black) and reconstructed (green) photometry signals across trials aligned to behavioral events (solid line = mean, shaded area=SEM, R2=0.19 SD=0.001, n=6 mice). (E) Box plots showing MSE for the full model (All) and models in which the indicated behavioral predictor(s) were omitted(-) for both the train (gray) and test (blue) datasets (Boxes represent the three quartiles (25%, 50%, and 75%) of the data and whiskers are 1.5*IQR, outliers are shown as dots, each model-run uses a different combination of data used for train/test split as illustrated in B).
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Effects of permanent genetic silencing of synaptic release from EPSst+ neurons on continued performance of a two-port choice probabilistic switching task.
(A) Viral injection location resulting in Cre-dependent expression of GFP (control) or tetanus toxin in EPSst+ neurons (green = Tettx-GFP, gray =DAPI). (B) The probability of choosing the highly rewarded port (p(high port)) around a block transition (dotted vertical line) for GFP (control, left) or Tettx (right) injected mice (gray= 5 days prior to AAV injection, green/red= days 21-30 post injection; black line = mean, shaded area=SEM). (Insets) Bar plot showing taup(high port) (time constant) calculated from an exponential fit to the first 20 trials following a block transition for each animal (circles) (bar = mean, error bar= SEM) before and after AAV injection. (C) p(switch) for trials following a rewarded trial for GFP (green) and Tettx (red) injected animals (bar = mean, error bar= 95% CI). (D) p(switch) for trials following an unrewarded trial for GFP (green) and Tettx (red) injected animals (bar = mean, error bar= 95% CI). (E) The probability of choosing different side ports on consecutive trials (p(switch)) around a block transition (dotted vertical line) for GFP (control, left) or Tettx (right) injected mice (gray= 5 days prior to AAV injection, green/red= days 21-30 post injection; black line = mean, shaded area=SEM). (Insets) Bar plot showing the maximum p(switch) in the 20 trials that follow a block transition for each animal (circles) (bar = mean, error bar= SEM) before and after AAV injection. For B-E n=6 GFP control and n=6 Tettx mice, 5 sessions/mouse before AAV inj. and 10 session/mouse after AAV injection, GFP control= 15,120 trials before, 34,523 trials after; Tettx = 17,528 trials before, 32,761 trials after.
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Additional behavioral performance metrics before and after viral injection and electrophysiological validation of Tettx effects on GABA/glutamate cotransmission from EPSst+ neurons.
(A) Trial duration (normalized to mean before AAV injection (day-5-day-1), red dashed line) across behavioral sessions (days) before and after AAV injection of GFP (black) or Tettx (gray) (n=6 GFP, n=6 Tettx animals, dots = mean, error bar = SEM). (B) p(high port) (normalized to mean before AAV injection(day-5-day-1), red dashed line) across behavioral sessions (days) before and after AAV injection of GFP (black) or Tettx (gray) (n=6 GFP, n=6 Tettx animals, dots = mean, error bar = SEM). (C) p(switch) (normalized to mean before AAV injection (day-5-day-1), red dashed line) across behavioral sessions (days) before and after AAV injection of GFP (black) or Tettx (gray) (n=6 GFP, n=6 Tettx animals, dots = mean, error bar = SEM). (D-I) Behavioral metrics for GFP (green) and Tettx (red) injected animals before (gray) and after (color) injection of AAV (dots = individual mice, bar = mean, error bars = 95% CI). (J) Sample whole-cell voltage-clamp recordings from lateral habenula (LHb) neurons clamped at either 0 mV (gray) or −65 mV (black) to isolate optogenetically evoked IPSCs or EPSCs, respectively, from oChief+ EPSst+axons. Sample traces on top are from a Sst-Cre+ animal expressing oChief only in EP and bottom traces are from a Sst-Cre+ animal expressing both oChief and Tettx, blue dashes represent the timing of the blue light pulse (1 ms duration). (K) Quantification of peak amplitude from optogenetically evoked IPSCs (top) and EPSCs (bottom) from oChief only (control, left) and oChief/Tettx (right) groups (n=8 cells control, 8 cells Tettx; bar = mean, error bar = SEM). (L) p(switch) for trial types divided by reward history and choice direction segregated into before injection (gray) and after injection (green=GFP, left; red=Tettx, right) (bar = mean, error bar = 95% CI). (M) Summary of RFLR model coefficients segregated into before injection (gray) and after injection (green=GFP; red=Tettx), each dot represents an individual mouse (bar = mean, error bar = SEM, negative log-likelihood of fits were equivalent across conditions; control= −0.22 SD=0.04; Tettx= −0.20 SD=0.05). (N) Trial duration following previously rewarded or unrewarded trials segregated into before injection (gray) and after injection (green=GFP; red=Tettx) (bar = mean, error bar = 95% CI). A-I and L-N n=6 GFP control and n=6 Tettx mice, 5 sessions/mouse before AAV inj. and 10 session/mouse after AAV injection, GFP control= 15,120 trials before, 34,523 trials after; Tettx = 17,528 trials before, 32,761 trials after.
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Total number of trials per session and animal body weight changes before and after viral injection. (A)
Body weight (normalized to mean before AAV injection) across behavioral sessions (days) before and after AAV injection of GFP (black) or Tettx (gray) (n=6 GFP, n=6 Tettx animals, dots = mean, error bar = SEM). (B) Total number of trials per session (normalized to mean before AAV injection) across behavioral sessions (days) before and after AAV injection of GFP (black) or Tettx (gray) (n=6 GFP, n=6 Tettx animals, dots = mean, error bar = SEM).
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Effects of CRISPR Cas9 deletion of synaptic glutamate release from EPSst+ neurons on continued performance of a two-port choice probabilistic switching task.
(A) Viral injection location resulting in Cre-dependent expression of oChief-tdTom+SaCas9-sgRNA for ROSA26 (control) or Slc17a6 (vGlut2) in EPSst+neurons (red = tdTomato, gray =DAPI). (B) The probability of choosing the highly rewarded port (p(high port)) around a block transition (dotted vertical line) for sgROSA (control, left) or sgSlc17a6 (right) injected mice (gray= 5 days prior to AAV injection, blue/orange= days 21-30 post injection; black line = mean, shaded area=SEM). (Insets) Bar plot showing taup(high port) (time constant) calculated from an exponential fit to the first 20 trials following a block transition for each animal (circles) (bar = mean, error bar= SEM) before and after AAV injection. (C) p(switch) for trials following a rewarded trial for sgROSA26 (blue) and sgSlc17a6 (orange) injected animals (bar = mean, error bar= 95% CI). (D) p(switch) for trials following an unrewarded trial for sgROSA26 (blue) and sgSlc17a6 (orange) injected animals (bar = mean, error bar= 95% CI). (E) The probability of choosing different side ports on consecutive trials (p(switch)) around a block transition (dotted vertical line) for sgROSA26 (control, left) or sgSlc17a6 (right) injected mice (gray= 5 days prior to AAV injection, green/red= days 21-30 post injection; black line = mean, shaded area=SEM). (Insets) Bar plot showing the maximum p(switch) in the 20 trials that follow a block transition for each animal (circles) (bar = mean, error bar= SEM) before and after AAV injection. For B-E n=10 sgROSA26 control and n=8 sgSlc17a6 mice, 5 sessions/mouse before AAV inj. and 10 session/mouse after AAV injection, sgROSA26 control= 17,318 trials before, 39,710 trials after; sgSlc17a6 = 13,520 trials before, 29,256 trials after.
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Additional behavioral performance metrics before and after viral injection and electrophysiological validation of CRISPR-SaCas9 mediated deletion of Slc17a6 (vGlut2) on GABA/glutamate cotransmission from EPSst+ neurons.
(A) Trial duration (normalized to mean before AAV injection (day-5-day-1), red dashed line) across behavioral sessions (days) before and after AAV injection of sgROSA26 (black) or sgSlc17a6 (gray) (n=10 sgROSA26, n=8 sgSlc17a6 animals, dots = mean, error bar = SEM). (B) p(high port) (normalized to mean before AAV injection (day-5-day-1), red dashed line) across behavioral sessions (days) before and after AAV injection of sgROSA26 (black) or sgSlc17a6 (gray) (n=10 sgROSA26, n=8 sgSlc17a6 animals, dots = mean, error bar = SEM). (C) p(switch) (normalized to mean before AAV injection (day-5-day-1), red dashed line) across behavioral sessions (days) before and after AAV injection of sgROSA26 (black) or sgSlc17a6 (gray) (n=10 sgROSA26, 8 sgSlc17a6 animals, dots = mean, error bar = SEM). (D-I) Behavioral metrics for sgROSA26 (blue) and sgSlc17a6 (orange) injected animals before (gray) and after (color) injection of AAV (dots = individual mice, bar = mean, error bars = 95% CI). (J) Sample whole-cell voltage-clamp recordings from lateral habenula (LHb) neurons clamped at either 0 mV (gray) or −65 mV (black) to isolate optogenetically evoked IPSCs or EPSCs, respectively, from oChief+ EPSst+ axons. Sample traces on top are from a Sst-Cre+ animal expressing both oChief and sgROSA26 in EP and bottom traces are from a Sst-Cre+ animal expressing both oChief and sgSlc17a6 blue dashes represent the timing of the blue light pulse (1 ms duration). (K) Quantification of peak amplitude from optogenetically evoked IPSCs (top) and EPSCs (bottom) from sgROSA26 (control, left) and sgSlc17a6 (right) groups (n=13 cells control, n=23 cells Tettx; bar = mean, error bar = SEM). (L) p(switch) for trial types divided by reward history and choice direction segregated into before injection (gray) and after injection (blue=sgROSA26, left; orange=sgSlc17a6, right) (bar = mean, error bar = 95% CI). (M) Summary of RFLR model coefficients segregated into before injection (gray) and after injection (blue=sgROSA26; orange=sgSlc17a6), each dot represents an individual mouse (bar = mean, error bar = SEM, negative log-likelihood of fits were equivalent across conditions; ROSA26= −0.25 SD=0.05; Slc17a6= −0.24 SD=0.05). (N) Trial duration following previously rewarded or unrewarded trials segregated into before injection (gray) and after injection (blue=sgROSA26; orange=sgSlc17a6) (bar = mean, error bar = 95% CI). A-I and L-N n=10 sgROSA26 control and n=8 sgSlc17a6 mice, 5 sessions/mouse before AAV inj. and 10 session/mouse after AAV injection, sgROSA26 control= 17,318 trials before, 39,710 trials after; sgSlc17a6 = 13,520 trials before, 29,256 trials after.
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Total number of trials per session and animal body weight changes before and after viral injection. (A)
Body weight (normalized to mean before AAV injection) across behavioral sessions (days) before and after AAV injection of sgROSA26 (black) or sgSlc17a6 (gray) (n=10 sgROSA26, n=8 sgSlc17a6 animals, dots = mean, error bar = SEM) (B) Total number of trials per session (normalized to mean before AAV injection) across behavioral sessions (days) before and after AAV injection of sgROSA26 (black) or sgSlc17a6 (gray) (n=10 sgROSA26, n=8 sgSlc17a6 animals, dots = mean, error bar = SEM)