Population encoding of stimulus features along the visual hierarchy
Dyballa L, Rudzite A, Hoseini M, Thapa M, Stryker M, Field G, Zucker S. Population encoding of stimulus features along the visual hierarchy. Proceedings Of The National Academy Of Sciences Of The United States Of America 2024, 121: e2317773121. PMID: 38227668, PMCID: PMC10823231, DOI: 10.1073/pnas.2317773121.Peer-Reviewed Original ResearchConceptsPartitioning feature spaceConvolutional neural networkNeural populationsDiverse visual featuresBattery of visual stimuliManifold embedding techniquesMachine learning approachFeature spaceEncoded featuresVisual featuresNeural networkProperties of individual neuronsPrimary visual cortexPopulation encodingEmbedding techniqueLearning approachPartitioning featuresVisual hierarchyContinuous representationV1 populationsStimulus spaceMulti-electrode arrayGroups of neuronsIndividual neuronsVisual cortex