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2019
Disequilibrium in behavior analysis: a disequilibrium theory redux
Authors: Jacobs, K.W., Morford Z.H., King J.E. Reinforcement theories, "disequilibrium" and generalization - Review
Jacobs, K.W., Morford Z.H., King J.E. - 2019
Models of attention deficit hyperactivity disorder
Authors: Killeen, P.R. Attention deficit hyperactivity disorder "neuroenergetics theory" and "drift diffusion/decision" models - Review
Killeen, P.R. - 2019
The subthalamic nucleus-external globus pallidus loop biases exploratory decisions towards known alternatives: a neuro-computational study
Authors: Baladron, J., Nambu A., Hamker F.H. Subthalamic nucleus-external globus pallidus pathway on decision making: circuit excitability computational model simulation study
Baladron, J., Nambu A., Hamker F.H. - 2019
Selective attention in rat visual category learning
Authors: Broschard, M.B., Kim J., Love B.C., Wasserman E.A., Freeman J.H. "Rule-based"/"information-integration" visual category appetitively rewarded operant responding in rats: categorization/generalizationcomputational modeling study
Broschard, M.B., Kim J., Love B.C., Wasserman E.A., Freeman J.H. - 2019
The spatial structure of neural encoding in mouse posterior cortex during navigation
Authors: Minderer, M., Brown K.D., Harvey C.D. Posterior cortex role in visually guided rewarded locomotion task in mice: neural network computational model and optogenetic inactivation study
Minderer, M., Brown K.D., Harvey C.D. - 2019
Cortical areas interact trhough a communication subspace
Authors: Semedo, J.D., Zandvakili A., Machens C.K., Yu B.M., Kohn A. V1 and V2 cortical neuron firing interaction related to visual stimuli presentation in monkeys: predicting dimesnion regression model study
Semedo, J.D., Zandvakili A., Machens C.K., Yu B.M., Kohn A. - 2019
Internal representation of hippocampal neuronal population spans a time-distance continuum
Authors: Haimerl, C., Angulo-Garcia D., Villette V., Reichinnek S., Torcini A., Cossart R., Malvache A. Hippocampal neuronal system and spatio-temporal integration in mice: continuous attractor neural network model
Haimerl, C., Angulo-Garcia D., Villette V., Reichinnek S., Torcini A., Cossart R., Malvache A. - 2019
Unsupervised learning by competing hidden units
Authors: Krotov, D., Hopfield J.J. Hebbian biologcal plasuiblie learning algorithm - Methods
Krotov, D., Hopfield J.J. - 2019
Computational models of memory consolidation and long-term synaptic plasticity during sleep
Authors: Renno-Costa, C., Costa da Silva A.C., Blanco W., Ribeiro S. Sleep dependent synaptic plasticity, memory consolidation and reactivation: computational studies - Review
Renno-Costa, C., Costa da Silva A.C., Blanco W., Ribeiro S. - 2019
Circuit mechanisms of hippocampal ractivation during sleep
Authors: Malerba, P., Bazhenov M. Hippocampal spontaneous sharp wave-ripple generation during sleep: network connectivity model
Malerba, P., Bazhenov M. - 2019
Fast and robust active neuron segmentation in two-photon calcium imaging using spatiotemporal deep learning
Authors: Soltanian-Zadeh, S., Sahingur K., Blau S., Gong Y., Farsiu S. Automated, fast active neuron segmentation to analyse work flow neuornal signals: two-photon calcium imaging study - Methods
Soltanian-Zadeh, S., Sahingur K., Blau S., Gong Y., Farsiu S. - 2019
SEXRAT male: a smartphone and tablet application to annotate and process live sexual behavior in male rodents
Authors: Buenrostro-Jauregui, M., Tapia-de Jesus A., Mata F., Gavia M., Galizia-Castillo O., Hernandez-Guerrero C., Rodriguez-Serrano L.M. Male rat sexual behavior smartphone/tablet application new method - Methods
Buenrostro-Jauregui, M., Tapia-de Jesus A., Mata F., Gavia M., Galizia-Castillo O., Hernandez-Guerrero C., Rodriguez-Serrano L.M. - 2019
A teensy microcontroller-based interface for optical imaging camera control during behavioral experiments
Authors: Romano, M., Bucklin M., Gritton H., Mehrotra D., Kessel R., Han X. Tone-puff eyeblink trace conditioning automated microcontroller-based interface controller camera devicing rodent behavior - Methods
Romano, M., Bucklin M., Gritton H., Mehrotra D., Kessel R., Han X. - 2019
DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal
Authors: Chambon, S., Thorey V., Arnal P.J., Mignot E., Gramfort A. Sleep EEG micro-event detection by multiple automatic algorhythms: DOSED deep learning approach - Methods
Chambon, S., Thorey V., Arnal P.J., Mignot E., Gramfort A. - 2019
MarmoDetector: anovel 3D automated system for the quantitative assessment of marmoset behavior
Authors: Yabumoto, T., Yoshida F., Miyauchi H., Baba K., Tsuda H., Ikenaka K., Hayakawa H., Koyabu N., Hamanaka H., Papa S.M., Hirata M., Mochizuki H. 3D automated circadian activity quantitative analysis system for marmoset monkeys - Methods
Yabumoto, T., Yoshida F., Miyauchi H., Baba K., Tsuda H., Ikenaka K., Hayakawa H., Koyabu N., Hamanaka H., Papa S.M., Hirata M., Mochizuki H. - 2019
A novel methodology for automated differential diagnosis of mild cognitive impairment and the Alzheimer's disease using EEG signals
Authors: Amezquita-Sanchez, J.P., Mammone N., Morabito F.C., Marino S., Adeli H. EEG signal multimodal analysis for mild cognitive impairment and Alzheimer's disease differential diagnosis - Methods
Amezquita-Sanchez, J.P., Mammone N., Morabito F.C., Marino S., Adeli H. - 2019
All-optical spoiking neurosynaptic networks with self-learning capabilities
Authors: Feldmann, J., Youngblood N., Wright C.D., Bhaskaran H., Pernice W.H.P. Neurosynaptic system all-optical version model: self-learning capable photonic neurosynaptic network - Methods
Feldmann, J., Youngblood N., Wright C.D., Bhaskaran H., Pernice W.H.P. - 2019
Reinforcement learning, fast and slow
Authors: Botvinick, M., Ritter S., Wang J.X., Kurth-nelson Z., Blundell C., Hassabis D. Artificial intelligence and meta/deep reinforcement learning: implications in psychology and neuroscience fileds - Review
Botvinick, M., Ritter S., Wang J.X., Kurth-nelson Z., Blundell C., Hassabis D. - 2019
Can't or won't? Immunometabolic constraints on dopaminergic drive
Authors: Treadway, M.T., Cooper J.A., Miller A.H. Inflammatory cytokines, mesolimbic dopaminergic system functioning and motivational state - Review
Treadway, M.T., Cooper J.A., Miller A.H. - 2019
Hierarchical reasoning by neural circuits in the frontal cortex
Authors: Sarafyazd, M., Jazayeri M. Prefrontal cortex neuron activity related to hierarchical reasoning during operant responding in monkeys
Sarafyazd, M., Jazayeri M. - 2019
Variation in sequence dynamics improves maintenance of stereotyped behavior in an example from bird song
Authors: Duffy, A., Abe E., Perkel D.J., Fairhall A.L. Premotor nulceus HVC neuronal activity relate to song in songbirds: neural representation instability and stable stereotyped behavior in a bird song learning model study
Duffy, A., Abe E., Perkel D.J., Fairhall A.L. - 2019
Fundamental bounds on learning performance in neural circuits
Authors: Raman, D.V., Rotondo A.P., O'Leary T. "Optimal network size" in theoretical learning: neural circuit computational model study
Raman, D.V., Rotondo A.P., O'Leary T. - 2019
Self-agency and self-ownership in cognitive mapping
Authors: Arzy, S., Schacter D.L. "Self-agency" and "self-ownership" related to egocentric and allocentric cognitive map representation - Review
Arzy, S., Schacter D.L. - 2019
Evidence that recurrent circuits are critical to the ventral stream's execution of core object recognition behavior
Authors: Kar, K., Kubilius J., Schmidt K., Issa E.B., DiCarlo J.J. Inferior temporal cortex role on object representation in primates: multinuit array recording/computational modelking study
Kar, K., Kubilius J., Schmidt K., Issa E.B., DiCarlo J.J. - 2019
Effective learning is accompanied by high-dimensional and efficient representations of neural activity
Authors: Tang, E., Mattar M.G., Giusti C., Lydon-Staley D.M., Thompson-Schill S.L., Bassett D.S. Brain activity related to cognitive performing in humans: fMRI high-dimensional stimulus representation study
Tang, E., Mattar M.G., Giusti C., Lydon-Staley D.M., Thompson-Schill S.L., Bassett D.S. - 2019
Predicitve models avoid excessive reductionism in cognitive neuroimaging
Authors: Varoquaux, G., Poldrack R.A. Predicitve models and classical analyses in neuroimaging studies: encoding models and generalization - Review
Varoquaux, G., Poldrack R.A. - 2019
The algorithmic architecture of exploration in the human brain
Authors: Schulz, E., Gershman S.J. Multiple algorithmic strategies in reinforcement learning exploration/exploitation - Review
Schulz, E., Gershman S.J. - 2019
Computational processing of neural recordings from calcium imaging data
Authors: Stringer, C., Pachitariu M. Calcium imaging computational processing related to neuronal activity - Methods - Review
Stringer, C., Pachitariu M. - 2019
What does the mind learns? A comparison of human and machine learning representations
Authors: Spicer, J., Sanborn A.N. Artificial neurla network representations in human brain behavioral models - Review
Spicer, J., Sanborn A.N. - 2019
The neural and cognitive architecture for learning from a small sample
Authors: Cortese, A., De Martino B., Kawato M. Artificial intelligence and cognitive neuroscience - Review
Cortese, A., De Martino B., Kawato M. - 2019