2018
Estimating a Separably Markov Random Field from Binary Observations
Zhang Y, Malem-Shinitski N, Allsop S, Tye K, Ba D. Estimating a Separably Markov Random Field from Binary Observations. Neural Computation 2018, 30: 1046-1079. PMID: 29381446, DOI: 10.1162/neco_a_01059.Peer-Reviewed Original ResearchConceptsNeural spiking dataMarkov random fieldLimitation of current methodsLoss of informationSpike dataNeural spikesConditional intensity functionRandom fieldState sequenceRF modelLearning of fearLearningTrial-to-trial dynamicsConditioned stimulusEstimate state-space modelsNeuronsPrefrontal cortexNeural underpinningsAssociative learningBinary observationsComputational toolsNeural activityIntensity functionTrialsCurrent methods
2015
Decoding Neural Circuits that Control Compulsive Sucrose Seeking
Nieh E, Matthews G, Allsop S, Presbrey K, Leppla C, Wichmann R, Neve R, Wildes C, Tye K. Decoding Neural Circuits that Control Compulsive Sucrose Seeking. Cell 2015, 160: 528-541. PMID: 25635460, PMCID: PMC4312417, DOI: 10.1016/j.cell.2015.01.003.Peer-Reviewed Original ResearchConceptsVentral tegmental areaVentral tegmental area dopamineNeural circuitsReward-predictive cuesFeeding-related behaviorsSucrose seekingReward omissionReward processingReward availabilityTegmental areaHungry miceGABA neuronsLH neuronsGABAergic projectionsDopamineRewardLearning actionsInhibitory inputsNeuronsTherapeutic interventionsSeekingCuesDisordersGABAFood consumption