PsychRNN: An Accessible and Flexible Python Package for Training Recurrent Neural Network Models on Cognitive Tasks
Ehrlich DB, Stone JT, Brandfonbrener D, Atanasov A, Murray JD. PsychRNN: An Accessible and Flexible Python Package for Training Recurrent Neural Network Models on Cognitive Tasks. ENeuro 2020, 8: eneuro.0427-20.2020. PMID: 33328247, PMCID: PMC7814477, DOI: 10.1523/eneuro.0427-20.2020.Peer-Reviewed Original ResearchConceptsRecurrent neural networkCognitive tasksCognitive neurosciencePython packageTraining of animalsTraining recurrent neural networksNetwork modelArtificial recurrent neural networkDeep learning softwareDeep-learning methodsRecurrent neural network modelNeural network modelNeural representationCognitive computationsNeuroscience researchNeural networkRNN modelCurriculum learningNeuroscienceCircuit mechanismsAdditional customizationConnectivity patternsTaskSoftware packageComputational modeling frameworkGeometry of neural computation unifies working memory and planning
Ehrlich DB, Murray JD. Geometry of neural computation unifies working memory and planning. Proceedings Of The National Academy Of Sciences Of The United States Of America 2022, 119: e2115610119. PMID: 36067286, PMCID: PMC9478653, DOI: 10.1073/pnas.2115610119.Peer-Reviewed Original ResearchConceptsNeural dataPossible circuit mechanismReal-world tasksMemory taskUpcoming eventsSensory modelPrefrontal cortexCognitive functionRecurrent neural networkHuman behaviorNeurophysiological observationsMemoryCircuit mechanismsFalsifiable predictionsFuture behaviorTaskModular processRepresentational strategiesRepresentationNeural networkCortexBehaviorDistinct typesBrainFindingsMultitask representations in the human cortex transform along a sensory-to-motor hierarchy
Ito T, Murray J. Multitask representations in the human cortex transform along a sensory-to-motor hierarchy. Nature Neuroscience 2022, 26: 306-315. PMID: 36536240, DOI: 10.1038/s41593-022-01224-0.Peer-Reviewed Original ResearchConceptsComputational principlesFunctional magnetic resonanceHuman cortexRepresentational similarityCognitive tasksHuman cognitionNeural processesMotor hierarchyMotor representationsMultilayer neural network modelNeural network modelCortex transformFunctional architectureTraining regimesOptimized representationCognitionCortical patternsNetwork modelTaskCortexRepresentationSame individualArchitectureIndividualsCompressionHuman generalization of internal representations through prototype learning with goal-directed attention
Pettine W, Raman D, Redish A, Murray J. Human generalization of internal representations through prototype learning with goal-directed attention. Nature Human Behaviour 2023, 7: 442-463. PMID: 36894642, DOI: 10.1038/s41562-023-01543-7.Peer-Reviewed Original ResearchConceptsInternal representationGoal-directed attentionHuman generalizationIndividual exemplarsExemplar representationsMinority of participantsLearning taskExternal worldLatent causesDiscriminative featuresPrototype representationMajority of participantsParticipantsRepresentationTheoretical modelAttentionTaskExemplarsDecision boundariesPeopleExperienceGeneralizationFeedbackSituationBehavior