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2019
Artificial intelligence to support human instruction
Authors: Mozer, M.C., Wiseheart M., Novikoff T.P. Methematical models of educational scenarios - Commentary
Mozer, M.C., Wiseheart M., Novikoff T.P. - 2019
Data reduction analyses of animal behaviour: avoiding Kaiser's criterion and adopting more robust automated methods
Authors: Morton, F.B., Altschul D. "Kaiser's criterion" and automated extraction methods in evaluating animal behavior - Methods - Commentary
Morton, F.B., Altschul D. - 2019
Trends and perspectives on the use of animal social network analysis in behavioural ecology: a bibliometric approach
Authors: Webber, Q.M.R., Wal E.V. Animal social network research biometric approach - Methods - Review
Webber, Q.M.R., Wal E.V. - 2019
Identification of schizophrenia related biological pathways across eight brain regions
Authors: Yang, J., Yan B., Fan Y., Yang L., Zhao B., Zhu F., Zheng J., Wang W., Bai L., Zhang F., Ma X. Brain region-specific gene expression related to schizophrenia in humans
Yang, J., Yan B., Fan Y., Yang L., Zhao B., Zhu F., Zheng J., Wang W., Bai L., Zhang F., Ma X. - 2019
Information seeking mechanism of neural populations in the lateral prefrontal cortex
Authors: Nakamura, K., Komatsu M. Lateral prefrontal cortex neuorn firing related to formation seeking task performing in monkeys
Nakamura, K., Komatsu M. - 2019
A neural microcircuit model for a scalable scale-invariant representation of time
Authors: Liu, Y., Tiganj Z., Hasselmo M.E., Howard M.W. Inverse laplace trasnform-based network computational model to generate scale-invariant time cells: calcium-activated non specific cationic current hypothesis
Liu, Y., Tiganj Z., Hasselmo M.E., Howard M.W. - 2019
Disparate forms of heterogeneities and interactions among them drive channel decorrelation in the dentate gyrus: degeneracy and dominance
Authors: Mishra, P., Narayanan R. Dentate gyrus cell excitability/plasticity related to structural heterogeneity/neuronal ge: channel decorrelation/computational study
Mishra, P., Narayanan R. - 2019
A reinterpreatation of "Homing pigeons'flight over and under low stratus" based on atmospheric propagation modeling of infrasonic navigational cues
Authors: Hagstrum, J.T. temperature inversion and infrasound signals on navigational pigeons flying: infrasound navigationa "map" hypothesis
Hagstrum, J.T. - 2019
A sleep spindle detection algorithm that emulates human expert spindle scoring
Authors: Lacourse, K., Delfrate J., Beaudry J., Peppard P., Warby S.C. Sleep spindle detection by means of human spindle scoring algorithm "A7" - Methods
Lacourse, K., Delfrate J., Beaudry J., Peppard P., Warby S.C. - 2019
Delay differential analysis dor dynamical sleep spindle detection
Authors: Sampson, A.L:, Lainscsek C., Gonzalez C.E., Ulbert I., Devinsky O., Fabo D., Madsen J.R., Halgren E., Cash S.S., Sejnowski T.J. Sleep spindles in human intracranial sleep data non-frequency-based detection - Methods
Sampson, A.L:, Lainscsek C., Gonzalez C.E., Ulbert I., Devinsky O., Fabo D., Madsen J.R., Halgren E., Cash S.S., Sejnowski T.J. - 2019
Infraslow oscillations in human sleep spindle activity
Authors: Lazar, Z.I., Dijk D.-J., Lazar A.S. Human infra-slow oscillations in sleep spindles detailed analysis
Lazar, Z.I., Dijk D.-J., Lazar A.S. - 2019
Slow wave detection in sleeping mice: comparison of traditional and machine learning methods
Authors: Bukhtiyarova, O., Soltani S., Chauvette S., Timofeev I. Slow-wave detection based on neural network pattern recognition in sleeping mice: comparison to traditional methods - Methods
Bukhtiyarova, O., Soltani S., Chauvette S., Timofeev I. - 2019
Simulating human sleep spindle MEG and EEG from ion channel and circuit level dynamics
Authors: Rosen, B.Q., Krishnan G.P., Sanda P., Komarov M., Sejnowski T., Rulkov N., Ulbert I., Eross L., Madsen J., Devinsky O., Doyle W., Fabo D., Cash S., Bazhenov M., Halgren E. Integrated multiscale sleep spindle human MEG and EEG simulating model MRI cortical surface reconstruction - Methods
Rosen, B.Q., Krishnan G.P., Sanda P., Komarov M., Sejnowski T., Rulkov N., Ulbert I., Eross L., Madsen J., Devinsky O., Doyle W., Fabo D., Cash S., Bazhenov M., Halgren E. - 2019
Joint modeling of reaction times and choice improves parameter identifiability in reinforcement learning models
Authors: Ballard, I.C., McClure S.M. Reinforcement learning model relating parameters to neural/psychological variables/measures by means of Bayesian priors and reaction time: mathematical/computational model - Methods
Ballard, I.C., McClure S.M. - 2019
A hierarchical model of binary pattern learning
Authors: Vitz, P.C. Binary pattern learning hierarchical model
Vitz, P.C. - 2019
Acute silencing of hippocampal CA3 reveals a dominant role in place field responses
Authors: Davoudi, H., Foster D.J. Hippocampal CA3 place cell field activity analysis in rats: optogenetic study
Davoudi, H., Foster D.J. - 2019
Neural computations of threat in the aftermath of combat trauma
Authors: Homan, P., Levy I., Feltham E., Gordon C., Hu J., Li J., Pietrzak R.H., Southwick S., Krystal J.H., Harpaz-Rotem I., Schiller D. Post-traumatic stress disorder (PTSD) symptoms on brai activation related to reversal learning performing in combat veterans: brain activity computational model comparison and relationship to PTSD synptoms
Homan, P., Levy I., Feltham E., Gordon C., Hu J., Li J., Pietrzak R.H., Southwick S., Krystal J.H., Harpaz-Rotem I., Schiller D. - 2019
Circuit mechanisms and computational models of REM sleep
Authors: Herice, C., Patel A.A., Sakata S. REM sleep regulating circuits and comnputational models - Review
Herice, C., Patel A.A., Sakata S. - 2019
Recurrent inhibition in the cerebral cortex
Authors: Bejar-Alonso, J., Martinez-Lorenzana G., Gonzalrz-Hernandez A., Cortes U., Condes-Lara M. Nociceptive stimulation on cortical event-related potential amplitude in rats
Bejar-Alonso, J., Martinez-Lorenzana G., Gonzalrz-Hernandez A., Cortes U., Condes-Lara M. - 2019
Editorial note to: Hierarchical pe+rediction errors in midbrain and basala forebrain during sensory learning
Authors: Iglesias, S., Mathys C., Brodersen K.H., Kasper L:, Piccirelli M., den Ouden H.E.M., Stephan K.E. fMRI computational analysis correction - Editorial note
Iglesias, S., Mathys C., Brodersen K.H., Kasper L:, Piccirelli M., den Ouden H.E.M., Stephan K.E. - 2019
Hierarchical pe+rediction errors in midbrain and basala forebrain during sensory learning
Authors: Iglesias, S., Mathys C., Brodersen K.H., Kasper L:, Piccirelli M., den Ouden H.E.M., Stephan K.E. fMRI computational analysis correction - Commentary
Iglesias, S., Mathys C., Brodersen K.H., Kasper L:, Piccirelli M., den Ouden H.E.M., Stephan K.E. - 2019
Hierarchical heterogeneity across human cortex shapes large-scale neural dynamics
Authors: Demirtas, M., Burt J.B., Helmer M., Ji J.L., Adkinson B.D., Glasser M.F., Van Essen D.C., Sotiropoulos S.N., Anticevic A., Murray J.D. Human cortex large-scale neural circuit functional organization computational model
Demirtas, M., Burt J.B., Helmer M., Ji J.L., Adkinson B.D., Glasser M.F., Van Essen D.C., Sotiropoulos S.N., Anticevic A., Murray J.D. - 2019
Holistic reinforcement learning: the role of structure and attention
Authors: Radulescu, A., Niv Y., Ballard I. Reinforcement learning neurla models - Review
Radulescu, A., Niv Y., Ballard I. - 2019
Brain modularity: a buomarker of intervention-related plasticity
Authors: Gallen, C.L., D'Esposito M. Brain network modularity and cognitive plasticity - Review
Gallen, C.L., D'Esposito M. - 2019
Deep neural networks as scientific models
Authors: Cichy, R.M., Kaiser D. Artificial neural network models - Review
Cichy, R.M., Kaiser D. - 2019
Correlation structure of grid cells in preserved during sleep
Authors: Gardner, R.J., Lu L., Wernle T., Moser M.-B., Moser E.I. Entorhinal grid cell activity during spatial navigation and sleep in rats
Gardner, R.J., Lu L., Wernle T., Moser M.-B., Moser E.I. - 2019
An integrated bayesian theory of phenotipic flexibility
Authors: Richerson, P.J. Evolution and phenotypic flexibility unification Bayesian process - Review
Richerson, P.J. - 2019
Enriching behavioral ecology with reinforcement learning methods
Authors: Frankenhuis, W.E., Panchanathan K., Barto A.G. "Dynamic programming" and "reincarcement learning" methods in behavioral ecology studies - Review
Frankenhuis, W.E., Panchanathan K., Barto A.G. - 2019
Equifinality in empirical studies of cultural transmission
Authors: Barrett, B.J. Social learning and cultural evolution: analytical approaches - Review
Barrett, B.J. - 2019
Selection by reinforcement: a critical reappraisal
Authors: Burgos, J.E. Evolutionary selecgtion by reinforcement: computational modeling - Review
Burgos, J.E. - 2019