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1دورية أكاديمية
المؤلفون: Yoav Ger, Eliya Nachmani, Lior Wolf, Nitzan Shahar
مصطلحات موضوعية: Science Policy, Infectious Diseases, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, found better performance, descriptive modeling paradigm, recurrent neural network, likelihood rl method, known rl parameters, humans varied dynamically, rl agents performing, two independent datasets, study human behavior, rnn ), whereby, armed bandit task, neural network models, theoretical rl models, humans performing, neural networks, term theoretical, normative models, used extensively, trial behavior, three studies, task phase, stress interpretability, stationary maximum, second dataset
الإتاحة: https://doi.org/10.1371/journal.pcbi.1011678.s002Test
https://figshare.com/articles/journal_contribution/Sensitivity_of_t-RNN_to_parameters_quantization_/24944421Test -
2دورية أكاديمية
المؤلفون: Yoav Ger, Eliya Nachmani, Lior Wolf, Nitzan Shahar
مصطلحات موضوعية: Science Policy, Infectious Diseases, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, found better performance, descriptive modeling paradigm, recurrent neural network, likelihood rl method, known rl parameters, humans varied dynamically, rl agents performing, two independent datasets, study human behavior, rnn ), whereby, armed bandit task, neural network models, theoretical rl models, humans performing, neural networks, term theoretical, normative models, used extensively, trial behavior, three studies, task phase, stress interpretability, stationary maximum, second dataset
الإتاحة: https://doi.org/10.1371/journal.pcbi.1011678.s003Test
https://figshare.com/articles/journal_contribution/Action_prediction_and_RL_parameter_recovery_of_simulated_test_agents_/24944424Test -
3دورية أكاديمية
المؤلفون: Yoav Ger, Eliya Nachmani, Lior Wolf, Nitzan Shahar
مصطلحات موضوعية: Science Policy, Infectious Diseases, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, found better performance, descriptive modeling paradigm, recurrent neural network, likelihood rl method, known rl parameters, humans varied dynamically, rl agents performing, two independent datasets, study human behavior, rnn ), whereby, armed bandit task, neural network models, theoretical rl models, humans performing, neural networks, term theoretical, normative models, used extensively, trial behavior, three studies, task phase, stress interpretability, stationary maximum, second dataset
الإتاحة: https://doi.org/10.1371/journal.pcbi.1011678.s004Test
https://figshare.com/articles/journal_contribution/Volatile_environment_/24944427Test -
4دورية أكاديمية
المؤلفون: Yoav Ger, Eliya Nachmani, Lior Wolf, Nitzan Shahar
مصطلحات موضوعية: Science Policy, Infectious Diseases, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, found better performance, descriptive modeling paradigm, recurrent neural network, likelihood rl method, known rl parameters, humans varied dynamically, rl agents performing, two independent datasets, study human behavior, rnn ), whereby, armed bandit task, neural network models, theoretical rl models, humans performing, neural networks, term theoretical, normative models, used extensively, trial behavior, three studies, task phase, stress interpretability, stationary maximum, second dataset
الإتاحة: https://doi.org/10.1371/journal.pcbi.1011678.s006Test
https://figshare.com/articles/journal_contribution/Summary_statistics_of_RL_parameters_estimations_by_diagnostic_group_/24944433Test -
5دورية أكاديمية
المؤلفون: Yoav Ger, Eliya Nachmani, Lior Wolf, Nitzan Shahar
مصطلحات موضوعية: Science Policy, Infectious Diseases, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, found better performance, descriptive modeling paradigm, recurrent neural network, likelihood rl method, known rl parameters, humans varied dynamically, rl agents performing, two independent datasets, study human behavior, rnn ), whereby, armed bandit task, neural network models, theoretical rl models, humans performing, neural networks, term theoretical, normative models, used extensively, trial behavior, three studies, task phase, stress interpretability, stationary maximum, second dataset
الإتاحة: https://doi.org/10.1371/journal.pcbi.1011678.s005Test
https://figshare.com/articles/journal_contribution/Action_prediction_for_Dezfouli_et_al_2019_9_dataset_/24944430Test -
6دورية أكاديمية
المؤلفون: Yoav Ger, Eliya Nachmani, Lior Wolf, Nitzan Shahar
مصطلحات موضوعية: Science Policy, Infectious Diseases, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, found better performance, descriptive modeling paradigm, recurrent neural network, likelihood rl method, known rl parameters, humans varied dynamically, rl agents performing, two independent datasets, study human behavior, rnn ), whereby, armed bandit task, neural network models, theoretical rl models, humans performing, neural networks, term theoretical, normative models, used extensively, trial behavior, three studies, task phase, stress interpretability, stationary maximum, second dataset
الإتاحة: https://doi.org/10.1371/journal.pcbi.1011678.s008Test
https://figshare.com/articles/journal_contribution/Relation_of_perseveration_estimation_with_stay_probability_/24944439Test -
7دورية أكاديمية
المؤلفون: Yoav Ger, Eliya Nachmani, Lior Wolf, Nitzan Shahar
مصطلحات موضوعية: Science Policy, Infectious Diseases, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, found better performance, descriptive modeling paradigm, recurrent neural network, likelihood rl method, known rl parameters, humans varied dynamically, rl agents performing, two independent datasets, study human behavior, rnn ), whereby, armed bandit task, neural network models, theoretical rl models, humans performing, neural networks, term theoretical, normative models, used extensively, trial behavior, three studies, task phase, stress interpretability, stationary maximum, second dataset
الإتاحة: https://doi.org/10.1371/journal.pcbi.1011678.s014Test
https://figshare.com/articles/journal_contribution/Using_ensemble_method_to_gain_variance_estimation_for_t-RNN_/24944457Test -
8دورية أكاديمية
المؤلفون: Yoav Ger, Eliya Nachmani, Lior Wolf, Nitzan Shahar
مصطلحات موضوعية: Science Policy, Infectious Diseases, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, found better performance, descriptive modeling paradigm, recurrent neural network, likelihood rl method, known rl parameters, humans varied dynamically, rl agents performing, two independent datasets, study human behavior, rnn ), whereby, armed bandit task, neural network models, theoretical rl models, humans performing, neural networks, term theoretical, normative models, used extensively, trial behavior, three studies, task phase, stress interpretability, stationary maximum, second dataset
الإتاحة: https://doi.org/10.1371/journal.pcbi.1011678.s011Test
https://figshare.com/articles/journal_contribution/Supplement_Fig_3D_/24944448Test -
9دورية أكاديمية
المؤلفون: Yoav Ger, Eliya Nachmani, Lior Wolf, Nitzan Shahar
مصطلحات موضوعية: Science Policy, Infectious Diseases, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, found better performance, descriptive modeling paradigm, recurrent neural network, likelihood rl method, known rl parameters, humans varied dynamically, rl agents performing, two independent datasets, study human behavior, rnn ), whereby, armed bandit task, neural network models, theoretical rl models, humans performing, neural networks, term theoretical, normative models, used extensively, trial behavior, three studies, task phase, stress interpretability, stationary maximum, second dataset
الإتاحة: https://doi.org/10.1371/journal.pcbi.1011678.s007Test
https://figshare.com/articles/journal_contribution/Action_prediction_for_Gershman_2018_22_dataset_/24944436Test -
10دورية أكاديمية
المؤلفون: Yoav Ger, Eliya Nachmani, Lior Wolf, Nitzan Shahar
مصطلحات موضوعية: Science Policy, Infectious Diseases, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, found better performance, descriptive modeling paradigm, recurrent neural network, likelihood rl method, known rl parameters, humans varied dynamically, rl agents performing, two independent datasets, study human behavior, rnn ), whereby, armed bandit task, neural network models, theoretical rl models, humans performing, neural networks, term theoretical, normative models, used extensively, trial behavior, three studies, task phase, stress interpretability, stationary maximum, second dataset
الإتاحة: https://doi.org/10.1371/journal.pcbi.1011678.s010Test
https://figshare.com/articles/journal_contribution/Relation_of_inverse-temperature_estimation_with_random_choice_/24944445Test