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.
human | Q5 |
P2381 | Academic Tree ID | 484 |
P268 | Bibliothèque nationale de France ID | 123646700 |
P1280 | CONOR.SI ID | 159707235 |
P646 | Freebase ID | /m/055zcb2 |
P227 | GND ID | 13899434X |
P269 | IdRef ID | 03265913X |
P213 | ISNI | 0000000109329441 |
P8189 | J9U ID | 987007459624305171 |
P11249 | KBR person ID | 14014424 |
P244 | Library of Congress authority ID | n78011680 |
P5587 | Libris-URI | gdsvzxz02x5nvqr |
P549 | Mathematics Genealogy Project ID | 70510 |
P5034 | National Library of Korea ID | KAC2018N9369 |
P1006 | Nationale Thesaurus voor Auteursnamen ID | 068242344 |
P349 | NDL Authority ID | 00466906 |
P1207 | NUKAT ID | n98024541 |
P856 | official website | http://ruccs.rutgers.edu/~galliste/index.php/research-interests |
P496 | ORCID iD | 0000-0002-4860-5637 |
P12458 | Parsifal cluster ID | 457978 |
P906 | SELIBR ID | 269070 |
P3987 | SHARE Catalogue author ID | 303704 |
P214 | VIAF ID | 109310389 |
P10832 | WorldCat Entities ID | E39PBJxhgX8c6gbB3wMkVBFVG3 |
P166 | award received | Fellow of the American Academy of Arts and Sciences | Q52382875 |
Fellow of the Society of Experimental Psychologists | Q59767330 | ||
William James Fellow Award | Q15253460 | ||
Howard Crosby Warren Medal | Q18402723 | ||
P27 | country of citizenship | United States of America | Q30 |
P185 | doctoral student | Adam Philip King | Q102249526 |
P69 | educated at | Stanford University | Q41506 |
Yale University | Q49112 | ||
P108 | employer | University of Pennsylvania | Q49117 |
University of California, Los Angeles | Q174710 | ||
Rutgers University | Q499451 | ||
Rutgers University–New Brunswick | Q7382826 | ||
P735 | given name | Charles | Q2958359 |
Charles | Q2958359 | ||
P1412 | languages spoken, written or signed | English | Q1860 |
P463 | member of | American Academy of Arts and Sciences | Q463303 |
National Academy of Sciences | Q270794 | ||
Society of Experimental Psychologists | Q7552471 | ||
P106 | occupation | psychologist | Q212980 |
neuroscientist | Q6337803 | ||
P21 | sex or gender | male | Q6581097 |
Q44597247 | 14 C2-Deoxyglucose uptake marks systems activated by rewarding brain stimulation |
Q48562318 | Accurate step-hold tracking of smoothly varying periodic and aperiodic probability. |
Q43188787 | Acquisition of peak responding: what is learned? |
Q36521722 | Adapting without reinforcement. |
Q34602748 | Autoshaped head poking in the mouse: a quantitative analysis of the learning curve. |
Q34136296 | Can a decay process explain the timing of conditioned responses? |
Q78639111 | Conception, perception and the control of action |
Q73349349 | Conditioning from an information processing perspective |
Q92976447 | Contingency, contiguity, and causality in conditioning: Applying information theory and Weber's Law to the assignment of credit problem |
Q51908329 | Cross-domain transfer of quantitative discriminations: is it all a matter of proportion? |
Q52127673 | Do 15 million cat neurons mediate the memory of a circle and a star? |
Q48453073 | Dopamine and reward: comment on Hernandez et al. (2006). |
Q35420527 | ELECTRICAL SELF-STIMULATION AND ITS THEORETICAL IMPLICATIONS. |
Q95756946 | Effect of current on the maximum possible reward |
Q50426675 | Finding numbers in the brain. |
Q30365075 | Flawed foundations of associationism? Comments on Machado and Silva (2007). |
Q40676933 | Foraging for brain stimulation: toward a neurobiology of computation. |
Q100526239 | Getting Numbers into Brains |
Q81052712 | Homeostatic conditioning |
Q125462120 | Honey bees infer source location from the dances of returning foragers |
Q37035667 | Intact interval timing in circadian CLOCK mutants. |
Q37113616 | Interval timing in genetically modified mice: a simple paradigm. |
Q55653466 | Introduction: The origins of numerical abilities. |
Q35699442 | Is matching innate? |
Q48533573 | Language and spatial frames of reference in mind and brain. |
Q51230894 | Motivating effects in self-stimulation |
Q48964596 | Neuron Function Inferred from Behavioral and Electrophysiological Estimates of Refractory Period |
Q51645609 | Non-verbal numerical cognition: from reals to integers. |
Q51624432 | Nonverbal arithmetic in humans: light from noise. |
Q47220539 | Numbers and brains. |
Q52018894 | Numerical subtraction in the pigeon: evidence for a linear subjective number scale. |
Q48557513 | On the optimal pulse duration in electrical stimulation of the brain |
Q91494464 | Our understanding of neural codes rests on Shannon's foundations |
Q52012796 | Pavlovian contingencies and temporal information. |
Q104741466 | Reconsidering the evidence for learning in single cells |
Q40662323 | Reward versus performance in self-stimulation: Electrode-specific effects of !a-methyl-p-tyrosine on reward in the rat |
Q30485764 | Risk assessment in man and mouse |
Q48446754 | Runway performance of rats for brain-stimulation or food reward: effects of hunger and priming |
Q33547416 | Screening for Learning and Memory Mutations: A New Approach |
Q30987595 | Shape parameters explain data from spatial transformations: comment on Pearce et al. (2004) and Tommasi & Polli (2004). |
Q52003321 | Sources of variability and systematic error in mouse timing behavior. |
Q44833952 | Specificity of brain stimulation reward in the rat |
Q37366135 | Temporal maps and informativeness in associative learning |
Q39316597 | The Coding Question. |
Q68024580 | The analytic and functional accuracy of a video densitometry system |
Q46155251 | The function relating the subjective magnitude of brain stimulation reward to stimulation strength varies with site of stimulation |
Q33811596 | The importance of proving the null. |
Q48961607 | The incentive of brain-stimulation reward |
Q30832358 | The learning curve: implications of a quantitative analysis |
Q38026950 | The neuroscience of learning: beyond the Hebbian synapse. |
Q82712160 | The precision of locomotor odometry in humans |
Q46194065 | The rat approximates an ideal detector of changes in rates of reward: implications for the law of effect. |
Q48323714 | Time Has Come |
Q51928870 | Time left in the mouse. |
Q37599180 | Time to rethink the neural mechanisms of learning and memory |
Q33902746 | Time, rate, and conditioning. |
Q41463755 | Toward a neurobiology of temporal cognition: advances and challenges. |
Q72697496 | Unilaterally activated systems in rats self-stimulating at sites in the medial forebrain bundle, medial prefrontal cortex, or locus coeruleus |
Q70737595 | Versatile behavior monitoring technique for rodents |
Q52001306 | Vervet monkeys as travelling salesmen. |
Q102249526 | Adam Philip King | doctoral advisor | P184 |
C. Randy Gallistel | wikipedia | |
Charles Randy Gallistel | wikipedia |
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