DOI: 10.5061/dryad.00000008m
title: Subregion specific dynamics of striatal dopamine

description: Transient increases in dopamine within the striatum can encode reward
 prediction errors, critical signals for updating predictions of future
 rewards. However, it is unclear how this mechanism can provide suitable
 feedback for predictions across a wide range of time horizons: from
 seconds or less (if singing a song) to potentially hours or more (if
 hunting for food). Here we report that dopamine transients in distinct
 striatal subregions convey prediction errors over distinct time scales.
 Dopamine dynamics systematically accelerated from ventral to dorsal-
 medial to dorsal-lateral striatum, in the tempo of their spontaneous
 fluctuations, their temporal integration of prior rewards, and their
 discounting of future rewards. This spectrum of time scales for evaluative
 computations can help achieve efficient learning and adaptive motivation
 for a wide range of behaviors.
description: # Subregion Specific Dynamics of Striatal Dopamine
 ## Description of the data
 and file structure The dataset included in this repository follows the
 standard format used by the Berke lab. It contains the necessary files and
 data required to replicate the experiments and findings described in the
 research article. Additionally, we have provided MATLAB code that can be
 utilized to read and interpret the data, as well as generate figures
 related to our results. The dataset consists of three *.zip files. Each
 zip file contains MATLAB/python scripts and data files required to
 reproduce the graphs in corresponding figures. Following is the
 description for each data file. ### **Fig2.zip**: **This text
 contains data and MATLAB scripts to replicate Fig2. The data is saved in
 .mat format, which can be loaded in MATLAB as a 1x41 struct. Each struct
 has recordings from one behavioral session of the bandit task and has
 these elements:** * **Fs:** Sampling Frequency of the photometry signal *
 **boxts:** timestamp of event onset (s) * **box:** metadata array with
 information about the recording session * **behavData:** Data structure
 with arrays that summarize measured behavioral variables in each session,
 such as: * Subject: Name of the subject * Date: Date of the experiment *
 Time: Time of the trial * Attempt: Attempt number * Trial: Trial number *
 Food: Binary variable that reports whether a trial was rewarded * Block:
 Block number * Block trial: Trial number within the block * Center: Number
 of the center poke for each trial * Port poked: Number of the poked port *
 RT: Reaction Time (ms) * MT: Movement Time (ms) * PreT: Pre Tone period
 (ms) * ResponseLimit: Response limit time (ms) * TrPerBlock: maximum
 number of trials per block * FalseStart: Number of false starts *
 WrongStart: Number of failed starts * FailureToRespond: Number of failures
 to start a trial * Prob Left: Probability of reward on the left side *
 Prob Right: Probability of reward on the right side * Target Poke: Poked
 port * CNI Latency: Latency to initiate the task (ms) * SI Duration:
 Side-in duration (ms) * ITI: Intertrial Interval (ms) * TTR: Time to
 Reward (ms) * sig: Light signal * Location: Confirmed location of the
 fiber photometry optical fiber * Left: binary variable that indicates
 which hemisphere the data was recorded from ### **Fig3.zip** **This file
 contains data, MATLAB scripts and Jupiter notebook to replicate Fig3. The
 data is saved in .mat format, which can be loaded in MATLAB. Each mat file
 includes 15 recording sessions for a rat performing the conditioning
 task.**\ For rats IM1277, IM1278, IM1299, IM1300, IM1301, IM1358, IM1359,
 IM1366, IM1367, IM1381, IM1382, there are two simultaneous recordings, and
 each row of the corresponding mat files represents a recording session and
 has the following relevant elements: Fs: Sampling Frequency Channels: data
 for two signal channels and two reference channels boxts: timestamp of
 event onset box: metadata array with information about the recording
 session behavData: Data structure with arrays that summarize measured
 behavioral variables in each session For rats IM1413, IM1414, M1415, there
 are three simultaneous recordings, and each row of the corresponding mat
 files represents a recording session and has the following relevant
 elements: ratConditioning: task parameters, similar to behavData in the 10
 earlier rats boxts: timestamp of event onset box: metadata array with
 information about the recording session DLS: signal and reference
 recordings at DLS, and cue onset time DMS: signal and reference recordings
 at DMS, and cue onset time VS: signal and reference recordings at VS, and
 cue onset time ### **Fig5.zip** **This file contains data and MATLAB
 scripts to reproduce Fig5. The data is stored in .mat format, which can be
 imported into MATLAB as a 1x5 struct (one for each subject). Each struct
 contains data from three behavioral sessions of the task and has the
 following fields:** * dF1: Response to cue onset. This is a 3D array with
 trials in the first dimension, time in the second dimension, and
 subregions in the third dimension. * dF2: Response to click. This has the
 same structure as dF1. * foodEntry: Port occupancy for each trial. * ind:
 Trial type. * rew: A binary variable that indicates whether a trial was
 rewarded or not. * t_axis: Time axis (in seconds) for dF responses.