C. Randy Gallistel

American psychologist

DBpedia resource is: http://dbpedia.org/resource/C._Randy_Gallistel

Abstract is: Charles Ransom Gallistel (born May 18, 1941) is an Emeritus Professor of Psychology at Rutgers University. He is an expert in the cognitive processes of learning and memory, using animal models to carry out research on these topics. Gallistel is married to fellow psychologist Rochel Gelman. Prior to joining the Rutgers faculty he held positions at the University of Pennsylvania, where he was chair of the psychology department and Bernard L. & Ida E. Grossman Term Professor, and at the University of California, Los Angeles.

Born 1941-05-18 in Indianapolis (Q6346)

C. Randy Gallistel is …
instance of (P31):
humanQ5

External links are
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P856official websitehttp://ruccs.rutgers.edu/~galliste/index.php/research-interests
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P166award receivedFellow of the American Academy of Arts and SciencesQ52382875
Fellow of the Society of Experimental PsychologistsQ59767330
William James Fellow AwardQ15253460
Howard Crosby Warren MedalQ18402723
P27country of citizenshipUnited States of AmericaQ30
P185doctoral studentAdam Philip KingQ102249526
P69educated atStanford UniversityQ41506
Yale UniversityQ49112
P108employerUniversity of PennsylvaniaQ49117
University of California, Los AngelesQ174710
Rutgers UniversityQ499451
Rutgers University–New BrunswickQ7382826
P735given nameCharlesQ2958359
CharlesQ2958359
P1412languages spoken, written or signedEnglishQ1860
P463member ofAmerican Academy of Arts and SciencesQ463303
National Academy of SciencesQ270794
Society of Experimental PsychologistsQ7552471
P106occupationpsychologistQ212980
neuroscientistQ6337803
P21sex or gendermaleQ6581097

Reverse relations

author (P50)
Q4459724714 C2-Deoxyglucose uptake marks systems activated by rewarding brain stimulation
Q48562318Accurate step-hold tracking of smoothly varying periodic and aperiodic probability.
Q43188787Acquisition of peak responding: what is learned?
Q36521722Adapting without reinforcement.
Q34602748Autoshaped head poking in the mouse: a quantitative analysis of the learning curve.
Q34136296Can a decay process explain the timing of conditioned responses?
Q78639111Conception, perception and the control of action
Q73349349Conditioning from an information processing perspective
Q92976447Contingency, contiguity, and causality in conditioning: Applying information theory and Weber's Law to the assignment of credit problem
Q51908329Cross-domain transfer of quantitative discriminations: is it all a matter of proportion?
Q52127673Do 15 million cat neurons mediate the memory of a circle and a star?
Q48453073Dopamine and reward: comment on Hernandez et al. (2006).
Q35420527ELECTRICAL SELF-STIMULATION AND ITS THEORETICAL IMPLICATIONS.
Q95756946Effect of current on the maximum possible reward
Q50426675Finding numbers in the brain.
Q30365075Flawed foundations of associationism? Comments on Machado and Silva (2007).
Q40676933Foraging for brain stimulation: toward a neurobiology of computation.
Q100526239Getting Numbers into Brains
Q81052712Homeostatic conditioning
Q125462120Honey bees infer source location from the dances of returning foragers
Q37035667Intact interval timing in circadian CLOCK mutants.
Q37113616Interval timing in genetically modified mice: a simple paradigm.
Q55653466Introduction: The origins of numerical abilities.
Q35699442Is matching innate?
Q48533573Language and spatial frames of reference in mind and brain.
Q51230894Motivating effects in self-stimulation
Q48964596Neuron Function Inferred from Behavioral and Electrophysiological Estimates of Refractory Period
Q51645609Non-verbal numerical cognition: from reals to integers.
Q51624432Nonverbal arithmetic in humans: light from noise.
Q47220539Numbers and brains.
Q52018894Numerical subtraction in the pigeon: evidence for a linear subjective number scale.
Q48557513On the optimal pulse duration in electrical stimulation of the brain
Q91494464Our understanding of neural codes rests on Shannon's foundations
Q52012796Pavlovian contingencies and temporal information.
Q104741466Reconsidering the evidence for learning in single cells
Q40662323Reward versus performance in self-stimulation: Electrode-specific effects of !a-methyl-p-tyrosine on reward in the rat
Q30485764Risk assessment in man and mouse
Q48446754Runway performance of rats for brain-stimulation or food reward: effects of hunger and priming
Q33547416Screening for Learning and Memory Mutations: A New Approach
Q30987595Shape parameters explain data from spatial transformations: comment on Pearce et al. (2004) and Tommasi & Polli (2004).
Q52003321Sources of variability and systematic error in mouse timing behavior.
Q44833952Specificity of brain stimulation reward in the rat
Q37366135Temporal maps and informativeness in associative learning
Q39316597The Coding Question.
Q68024580The analytic and functional accuracy of a video densitometry system
Q46155251The function relating the subjective magnitude of brain stimulation reward to stimulation strength varies with site of stimulation
Q33811596The importance of proving the null.
Q48961607The incentive of brain-stimulation reward
Q30832358The learning curve: implications of a quantitative analysis
Q38026950The neuroscience of learning: beyond the Hebbian synapse.
Q82712160The precision of locomotor odometry in humans
Q46194065The rat approximates an ideal detector of changes in rates of reward: implications for the law of effect.
Q48323714Time Has Come
Q51928870Time left in the mouse.
Q37599180Time to rethink the neural mechanisms of learning and memory
Q33902746Time, rate, and conditioning.
Q41463755Toward a neurobiology of temporal cognition: advances and challenges.
Q72697496Unilaterally activated systems in rats self-stimulating at sites in the medial forebrain bundle, medial prefrontal cortex, or locus coeruleus
Q70737595Versatile behavior monitoring technique for rodents
Q52001306Vervet monkeys as travelling salesmen.

Q102249526Adam Philip Kingdoctoral advisorP184

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