about
Interactive machine learning for health informatics: when do we need the human-in-the-loop?Slowing Down Fast Mapping: Redefining the Dynamics of Word LearningWhat do we mean by prediction in language comprehension?The effects of the previous outcome on probabilistic choice in rats.On the generality and limits of abstraction in rats and humansThe glass is half-full: overestimating the quality of a novel environment is advantageousThe legacy of Guttman and Kalish (1956): Twenty-five years of research on stimulus generalization.Choice in transition: A comparison of melioration and the kinetic modelRepeated acquisitions and extinctions in classical conditioning of the rabbit nictitating membrane response.Understanding dopamine and reinforcement learning: the dopamine reward prediction error hypothesis.Corticostriatothalamic reward prediction error signals and executive control in late-life depression.Primacy effects induced by temporal or physical context shifts are attenuated by a preshift test trial.Is matching innate?Implicit Value Updating Explains Transitive Inference Performance: The Betasort Model.Overshadowing and the outcome-alone exposure effect counteract each other.Arithmetic and local circuitry underlying dopamine prediction errors.Neural Estimates of Imagined Outcomes in Basolateral Amygdala Depend on Orbitofrontal CortexCannabinoids and value-based decision making: implications for neurodegenerative disorders.Effect of Frustration on Brain Activation Pattern in Subjects with Different TemperamentAn assessment of fixed-capacity models of visual working memoryRule learning enhances structural plasticity of long-range axons in frontal cortex.Midbrain dopamine neurons compute inferred and cached value prediction errors in a common frameworkComparing associative, statistical, and inferential reasoning accounts of human contingency learningA simple solution for model comparison in bold imaging: the special case of reward prediction error and reward outcomesTemporal Specificity of Reward Prediction Errors Signaled by Putative Dopamine Neurons in Rat VTA Depends on Ventral StriatumOverexpectation: response loss during sustained stimulus compounding in the rabbit nictitating membrane preparationThe generality of empirical and theoretical explanations of behavior.Explicit melioration by a neural diffusion model.Reward Contrast Effects on Impulsive Choice and Timing in Rats.Modeling the emergence of lexicons in homesign systems.The Dopamine Prediction Error: Contributions to Associative Models of Reward Learning.Isomorphisms between psychological processes and neural mechanisms: from stimulus elements to genetic markers of activity.The drift diffusion model as the choice rule in reinforcement learning.Situational descriptions of behavioral procedures: the in situ testbed.Reinforcer-ratio variation and its effects on rate of adaptation.A connectome of a learning and memory center in the adult Drosophila brain.Influence attempts and effective power: a re-examination of an unsubstantiated hypothesis.Associative Learning Through Acquired Salience.The dynamics of conditioning and extinctionA computational model of the temporal dynamics of plasticity in procedural learning: sensitivity to feedback timing.
P2860
Q28602093-E5CC0CCE-722B-492F-99E3-1E465588FED8Q28603885-9EEC25BB-8F58-4C2F-8042-0B4DB092AB71Q30366893-C23C2E34-46A0-441E-B6EB-5B42960AC237Q30443816-2FC57D9D-C270-43CD-B31C-80C2E61BEC07Q33620626-3FAE0D87-3D04-4450-9FD1-18AD549488DEQ34235320-61554597-7483-45F0-B199-B4C17671DC8BQ34266956-32EA9759-B17B-4D5F-8E2F-C923CD9478D0Q34282017-A72F4BC5-1B5A-43FB-A328-BA80655150CDQ34667131-B661C35E-2821-4261-8DE1-B75D2965F580Q35222930-7B0CD8D9-F987-413C-A6E6-47E6C76EB02EQ35235505-9095D590-441F-4A81-9330-FE50A17A0BC9Q35699434-32939C54-F18E-416F-8E13-7EA40FF6B056Q35699442-ABCB9CF0-EF9A-4EC4-AF9E-38B5D4234244Q35788650-F89DFABC-C154-43AC-B45E-C9C259F9685DQ36015159-69101D33-5692-439D-B770-2C083D837762Q36053016-99C47E57-734E-4DD1-B6E8-012DD31A0BBBQ36373828-28527D37-8A26-4EA7-94AF-D2BDD8ABEC47Q36393644-857DC1EA-26B3-46F6-B685-82C8B912C6C1Q36450298-BA3D278D-400E-4053-A131-DDD9CB910ADCQ36579413-867A3319-9A4F-4873-804F-D5E48DBF5813Q36674472-792F0F22-FB89-47BE-96C5-EE527FCB2E1BQ36723430-B31F1649-FDB8-489B-9B16-B8D175DDA950Q36762193-6F44BF25-D6A8-4A7E-9BD8-6EED4C498733Q37025517-EBB6B2D1-2C6F-4CBE-95B0-9BDAFADA9C18Q37079817-60A80600-2C65-4D80-9B24-9054DF1FC03AQ37172038-2807FEB7-14BD-41AF-AF85-7DAD0EE422BDQ37188564-F222F9EA-A440-4730-9560-DCC4B93D0AE1Q37392229-15D27572-E76A-4EFB-B82C-F9E53625C136Q37420488-845A6160-E045-4F68-8AEF-C2AB174E19FAQ37541280-D4A94C3D-51F7-42DE-8C76-E183B53A7F8CQ37656924-240B9C1D-19EB-4433-A0DE-1D933962DA03Q38161661-44C78814-35B8-41A9-AAB3-AC27615D0B9BQ39103068-57A9CF4F-8BF1-4FA8-AAB9-DAB5937C103CQ39727250-D4759BB4-5DFD-46B0-B331-C67D539C2D69Q39727328-7202C30E-6E5A-44F7-A9E9-DAE8918F51EBQ41329990-68E96D7E-2D26-423C-96C1-A6B0F6AB6BA6Q41524222-06325b05-45c5-609e-439f-c12998399c6fQ41779025-7378E67F-AA2C-40E6-92E3-FD339C881CDBQ41973862-B40898D5-734E-48F0-A302-16A233E9343DQ41998337-64BEAE4B-EFDC-436B-B4F0-A51515314BDE
P2860
description
1951 nî lūn-bûn
@nan
1951 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
1951 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
1951年の論文
@ja
1951年論文
@yue
1951年論文
@zh-hant
1951年論文
@zh-hk
1951年論文
@zh-mo
1951年論文
@zh-tw
1951年论文
@wuu
name
A mathematical model for simple learning.
@ast
A mathematical model for simple learning.
@en
A mathematical model for simple learning.
@nl
type
label
A mathematical model for simple learning.
@ast
A mathematical model for simple learning.
@en
A mathematical model for simple learning.
@nl
prefLabel
A mathematical model for simple learning.
@ast
A mathematical model for simple learning.
@en
A mathematical model for simple learning.
@nl
P1433
P1476
A mathematical model for simple learning.
@en
P2093
P304
P577
1951-09-01T00:00:00Z