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482 results for “reward”
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training
<p>QA-Feedback used in the paper: Fine-Grained Human Feedback Gives Better Rewards for Language Model Training</p>
Temporally specific patterns of neural activity in interconnected corticolimbic structures during reward anticipation
<p>Temporally specific patterns of neural activity in interconnected corticolimbic structures during reward anticipation</p> <p>Megan E. Young, Camille Spencer-Salmon, Clayton Mosher, Sarita Tamang, Kanaka Rajan, and Peter H. Rudebeck</p> <p>This dataset contains peripheral physiology (heart rate) and single neuron activity data from the paper entitled “Temporally specific patterns of neural activity in interconnected corticolimbic structures during reward anticipation” by Young, Spencer-Salmon and colleagues.</p> <p>The study investigated how neurons in macaque subcallosal anterior cingulate cortex, basolateral amygdala, and rostromedial striatum encoded anticipated reward during Pavlovian and instrumental tasks.</p> <p>Heart rate data were pre-processed using methods described in the paper and were downsampled to 50 Hz for analysis. Neural activity data were pre-processed using steps as described in the paper.</p> <p>The dataset is saved as .MAT files.</p> <p>Files included:</p> <p>‘Pavlovian_task_neurons.mat’ – single neuron data from the Pavlovian task. Each of the 656 rows represents a single neuron and its associated information.</p> <p>‘Instrumental_task_neurons.mat’ – single neuron data from the instrumental task. Each of the 425 rows represents a single neuron and its associated information.</p> <p>“heart_rate.mat” – heart rate data from monkeys D and H.</p> <p><br> File structure and information:</p> <p>Pavlovian_task_neurons.mat</p> <p>Structure “Pavlovian_task_neurons”<br> - “Pavlovian_task_neurons.unit_name” – neuron specific identifier<br> - “Pavlovian_task_neurons.monkeynumber” – subject specific #<br> - “Pavlovian_task_neurons.monkeyname” – subject specific name<br> - “Pavlovian_task_neurons.date” – date on which data were recorded<br> - “Pavlovian_task_neurons.session” – session identifier from date (a-d)<br> - “Pavlovian_task_neurons.channel” – recording channel data recorded from<br> - “Pavlovian_task_neurons.wavemark” – waveform number (a-e)<br> - “Pavlovian_task_neurons.brainarea” – brain area where neuron recorded (SC = subcallosal ACC, AMY = basolateral amygdala, VS = rostromedial striatum).<br> - “Pavlovian_task_neurons.areanum” – # brain area (subcallosal ACC = 1, BLA = 2, rostromedial striatum = 3)<br> - “Pavlovian_task_neurons.condition” – condition # from Monkey Logic for each of the trials (1 by n trials)<br> - “Pavlovian_task_neurons.stimspikes” – smoothed spike rate from -600 to 2500ms after stimulus onset (trials by time matrix)<br> - “Pavlovian_task_neurons.rewardspikes” – smoothed spike rate from -600 to 2500ms after reward onset (trials by time matrix)<br> - “Pavlovian_task_neurons.stimID” – stimulus shown on that trial (1 = neutral, 3 = CS+ juice, 4 = CS+ water, 5 = CS-) (1 by n trials).</p> <p><br> Instrumental_task_neurons.mat</p> <p>Structure “Instrumental_task_neurons”<br> - “instrumental_task_neurons.unit_name” – neuron specific identifier<br> - “instrumental_task_neurons.monkeynumber” – subject specific #<br> - “instrumental_task_neurons.monkeyname” – subject specific name<br> - “instrumental_task_neurons.date” – date on which data were recorded<br> - “instrumental_task_neurons.session” – session identifier from date (a-d)<br> - “instrumental_task_neurons.channel” – recording channel data recorded from<br> - “instrumental_task_neurons.wavemark” – waveform number (a-e)<br> - “instrumental_task_neurons.brainarea” – brain area where neuron recorded (SC = subcallosal ACC, AMY = basolateral amygdala, VS = rostromedial striatum).<br> - “instrumental_task_neurons.areanum” – # brain area (subcallosal ACC = 1, BLA = 2, rostromedial striatum = 3)<br> - “instrumental_task_neurons.condition” – condition 7-18 from Monkey Logic for each of the trials (1 by n trials). CNDs 7,8,13,14= CS+ juice vs CS+ water; CNDs 9,10,15,16= CS+ juice vs CS-; CNDs 11,12,17,18= CS+ water vs CS-.<br> - “instrumental_task_neurons.choice” – outcome associated with chosen option (0=nothing, 1=juice, 2=water) (1 by n trials)<br> - “instrumental_task_neurons.unchosen” - outcome associated with unchosen option (0=nothing, 1=juice, 2=water) (1 by n trials)<br> - “instrumental_task_neurons.chosenside” – side of the screen chosen (left [0] or right [1]) (1 by n trials)<br> - “instrumental_task_neurons.stimspikes” – smoothed spike rate from -600 to 2500ms after stimulus onset (trials by time matrix)<br> - “instrumental_task_neurons.rewardspikes” – smoothed spike rate from -600 to 2500ms after reward onset (trials by time matrix)</p> <p>heart_rate.mat</p> <p>Structures – “monkey_d_hr” – monkey D heart rate data<br> – “monkey_h_hr” – monkey H heart rate data</p> <p>Structure of monkey_d/h_hr<br> - “monkey_d/h_hr.trial_type” – trial type presented (1 = neutral, 2 = unsignaled, 3 = CS+ juice, 4 = CS+ water, 5 = CS-) (1 by n trials).<br> - “monkey_d/h_hr.trials” – number of trials in each session by trial type<br> - “monkey_d/h_hr.session – percent change in heart rate for each trial from -200 ms to 3500ms after stimulus onset. Column 1 = session; Column 2 = trial type; Column 3 = trial number; Columns 4 – 3703 = percent change in heart rate.</p> <p> </p>
Data set for "Neural mechanisms underlying uninstructed orofacial movements during reward-based learning tasks"
<p>Data set for Li, Nakano, et al. (2023) Neural mechanisms underlying uninstructed orofacial movements during reward-based learning behaviors. Current Biology, https://doi.org/10.1016/j.cub.2023.07.013</p> <p><br> The file "Li_Nakano_et_al_detaset.zip" (~45.4 GB) is a compressed version of the "Li_Nakano_et_al_detaset" folder. The uncompressed folder (~76.4 GB) houses the data and some analytical codes used in the study. Upon extraction, the folder reveals two subfolders, "Raw data" and "Source data," and a 'README' text file providing further instructions or information.</p>
Single unit electrophysiology of optogenetically identified dopamine neurons in classical conditioning with probabilistic outcome of reward and punishment
<p>We collected single-unit data (.mat file) from optogenetically identified dopamine neurons in the lateral VTA in mice. These dopamine neurons were recorded while animals performed 4 different variation of classical conditioning tasks with different ratio of probabilistic outcomes of water reward and aversive air puff. In one task, one cue was associated with both water and puff in a probabilistic manner.</p>
Cue- versus reward-encoding basolateral amygdala projections to nucleus accumbens
<p>In substance use disorders, drug use as unconditioned stimulus (US) reinforces drug taking. Meanwhile, drug-associated cues (conditioned stimulus, CS) also gain incentive salience to promote drug seeking. The basolateral amygdala (BLA) is implicated in both US- and CS-mediated responses. Here, we show that two genetically distinct BLA neuronal types, expressing Rspo2 versus Ppp1r1b, respectively, project to the nucleus accumbens (NAc) and form monosynaptic connections with both dopamine D1 and D2 receptor-expressing neurons. While intra-NAc stimulation of Rspo2 or Ppp1r1b presynaptic terminals establishes intracranial self-stimulation (ICSS), only Ppp1r1b-stimulated mice exhibit cue-induced ICSS seeking. Furthermore, increasing versus decreasing the Ppp1r1b-to-NAc, but not Rspo2-to-NAc, subprojection increases versus decreases cue-induced cocaine seeking after cocaine withdrawal. Thus, while both BLA-to-NAc subprojections contribute to US-mediated responses, the Ppp1r1b subprojection selectively encodes CS-mediated reward and drug reinforcement. Such differential circuit representations may provide insights into precise understanding and manipulation of drug- versus cue-induced drug seeking and relapse.</p>
Investigation of the Effects of Bariatric Surgery on Taste Reward in Humans
ClinicalTrials.gov study NCT01531738. IPD Sharing: NO. Countries: 1. Publications: 1.
Study of the Effects of Risperdal Consta on Brain Reward Circuitry Function, Craving and Cocaine Use in Active Cocaine Dependence
ClinicalTrials.gov study NCT00385801. IPD Sharing: Not stated. Countries: 1. Publications: 1.
EMPOWER: Empowering the Management of Pain-Obesity-Weight Through Enhanced Reward
ClinicalTrials.gov study NCT04851587. IPD Sharing: NO. Countries: 1. Publications: 1.
Examining the Effects of Estradiol on Neural and Molecular Response to Reward
ClinicalTrials.gov study NCT05282277. IPD Sharing: YES. Countries: 1. Publications: 155.
The Effect of Sweet Flavoring on the Rewarding and Reinforcing Value of Cigarillo Use Among Young Adults
ClinicalTrials.gov study NCT05092919. IPD Sharing: YES. Countries: 1. Publications: 1.
Group Therapy for Major Depression: Comparing Expectation-Focused and Reward-Focused Psychotherapy Approaches
ClinicalTrials.gov study NCT07388004. IPD Sharing: YES. Countries: 1. Publications: 26.
Reward Re-Training: A New Treatment to Address Reward Imbalance During the COVID-19 Pandemic
ClinicalTrials.gov study NCT04661410. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Understanding Alcohol Reward in Social Context
ClinicalTrials.gov study NCT03449095. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Cannabidiol on Reward- and Stress-related Neurocognitive Processes in Individuals With Opioid Use Disorder
ClinicalTrials.gov study NCT04982029. IPD Sharing: NO. Countries: 1. Publications: 1.
The Beneficial Effects of Healthy Snacks on Appetite Control, Satiety, and Reward-driven Eating Behavior in Young People
ClinicalTrials.gov study NCT01781286. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Does Depression Impact Our Memory for Rewarding Experiences
ClinicalTrials.gov study NCT05276583. IPD Sharing: YES. Countries: 1. Publications: 9.
Study of Brain, Reward, and Kids' Eating
ClinicalTrials.gov study NCT05456516. IPD Sharing: YES. Countries: 1. Publications: 6.
Examining Reward-Related Predictors and Mechanisms of Change in BA Treatment for Anhedonic Adolescents
ClinicalTrials.gov study NCT02498925. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Opioid Modulation and Neural Reward Activation in Healthy Adults
ClinicalTrials.gov study NCT04854551. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
The Effects of Dopamine on Reward Processing
ClinicalTrials.gov study NCT01253421. IPD Sharing: NO. Countries: 1. Publications: 2.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.