Wolfram Schultz
E371422
Wolfram Schultz is a neuroscientist renowned for his pioneering research on dopamine neurons and their role in reward prediction and learning.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Wolfram Schultz canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3604433 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolfram Schultz Context triple: [Wolfram, hasNotableBearer, Wolfram Schultz]
-
A.
Terrence Sejnowski
Terrence Sejnowski is a pioneering computational neuroscientist and machine learning researcher known for foundational contributions to neural networks and learning algorithms.
-
B.
Christof Koch
Christof Koch is a neuroscientist renowned for his pioneering work on the neural basis of consciousness and long collaboration with Francis Crick.
-
C.
Ann Graybiel
Ann Graybiel is a renowned neuroscientist known for her pioneering research on the basal ganglia and its role in habit formation and movement control.
-
D.
Olaf Sporns
Olaf Sporns is a neuroscientist known for his pioneering work in network neuroscience and the study of brain connectivity.
-
E.
Silvio Gazzaniga
Silvio Gazzaniga was an Italian sculptor best known for creating the iconic modern FIFA World Cup Trophy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wolfram Schultz Target entity description: Wolfram Schultz is a neuroscientist renowned for his pioneering research on dopamine neurons and their role in reward prediction and learning.
-
A.
Terrence Sejnowski
Terrence Sejnowski is a pioneering computational neuroscientist and machine learning researcher known for foundational contributions to neural networks and learning algorithms.
-
B.
Christof Koch
Christof Koch is a neuroscientist renowned for his pioneering work on the neural basis of consciousness and long collaboration with Francis Crick.
-
C.
Ann Graybiel
Ann Graybiel is a renowned neuroscientist known for her pioneering research on the basal ganglia and its role in habit formation and movement control.
-
D.
Olaf Sporns
Olaf Sporns is a neuroscientist known for his pioneering work in network neuroscience and the study of brain connectivity.
-
E.
Silvio Gazzaniga
Silvio Gazzaniga was an Italian sculptor best known for creating the iconic modern FIFA World Cup Trophy.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
human
ⓘ
neuroscientist ⓘ researcher ⓘ |
| awardReceived |
Brain Prize
ⓘ
Grete Lundbeck European Brain Research Prize ⓘ Hebb Lecture Prize ⓘ Royal Society Wolfson Research Merit Award ⓘ Salk Institute Francis Crick Prize Lecture ⓘ |
| citizenship | Switzerland ⓘ |
| countryOfBirth | Switzerland ⓘ |
| educatedAt |
University of Bern
ⓘ
University of Fribourg ⓘ |
| fieldOfWork |
computational neuroscience
ⓘ
neurophysiology ⓘ neuroscience ⓘ reward neuroscience ⓘ systems neuroscience ⓘ |
| hasResearchInterest |
basal ganglia
ⓘ
computational models of learning ⓘ decision making ⓘ dopamine ⓘ midbrain ⓘ reinforcement learning ⓘ reward prediction ⓘ |
| influenced |
artificial intelligence models inspired by dopamine signaling
ⓘ
computational models of reinforcement learning in neuroscience ⓘ theories of reward-based decision making ⓘ |
| knownFor |
linking dopamine activity to reinforcement learning models
ⓘ
research on dopamine neurons ⓘ reward prediction error theory ⓘ single-unit recordings of midbrain dopamine neurons ⓘ studies of reward-based learning ⓘ |
| languageSpoken |
English
ⓘ
German ⓘ |
| memberOf | Department of Physiology, Development and Neuroscience, University of Cambridge ⓘ |
| notableIdea | phasic dopamine signal as reward prediction error ⓘ |
| notableWork |
“A neural substrate of prediction and reward”
ⓘ
“Predictive reward signal of dopamine neurons” ⓘ “Reward processing in primate orbitofrontal cortex and basal ganglia” ⓘ |
| placeOfBirth | Fribourg ⓘ |
| positionHeld | Professor of Neuroscience ⓘ |
| studies |
neural coding of reward value
ⓘ
temporal difference learning signals in the brain ⓘ |
| workLocation |
University of Cambridge
ⓘ
linked to:
Cambridge University
|
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Wolfram Schultz Description of subject: Wolfram Schultz is a neuroscientist renowned for his pioneering research on dopamine neurons and their role in reward prediction and learning.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.