Kato A, Morita K. (2016). Forgetting in Reinforcement Learning Links Sustained Dopamine Signals to Motivation. PLoS computational biology. 12 [PubMed]

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References and models cited by this paper

Akaishi R, Umeda K, Nagase A, Sakai K. (2014). Autonomous mechanism of internal choice estimate underlies decision inertia. Neuron. 81 [PubMed]

Angulo-Garcia D, Berke JD, Torcini A. (2016). Cell Assembly Dynamics of Sparsely-Connected Inhibitory Networks: A Simple Model for the Collective Activity of Striatal Projection Neurons. PLoS computational biology. 12 [PubMed]

Bahuguna J, Aertsen A, Kumar A. (2015). Existence and control of Go/No-Go decision transition threshold in the striatum. PLoS computational biology. 11 [PubMed]

Bar-Gad I, Morris G, Bergman H. (2003). Information processing, dimensionality reduction and reinforcement learning in the basal ganglia. Progress in neurobiology. 71 [PubMed]

Beeler JA, Daw N, Frazier CR, Zhuang X. (2010). Tonic dopamine modulates exploitation of reward learning. Frontiers in behavioral neuroscience. 4 [PubMed]

Beierholm UR, Dayan P. (2010). Pavlovian-instrumental interaction in 'observing behavior'. PLoS computational biology. 6 [PubMed]

Berridge KC, Robinson TE. (1998). What is the role of dopamine in reward: hedonic impact, reward learning, or incentive salience? Brain research. Brain research reviews. 28 [PubMed]

Berry JA, Cervantes-Sandoval I, Nicholas EP, Davis RL. (2012). Dopamine is required for learning and forgetting in Drosophila. Neuron. 74 [PubMed]

Berthet P, Hellgren-Kotaleski J, Lansner A. (2012). Action selection performance of a reconfigurable basal ganglia inspired model with Hebbian-Bayesian Go-NoGo connectivity. Frontiers in behavioral neuroscience. 6 [PubMed]

Bolam JP, Pissadaki EK. (2012). Living on the edge with too many mouths to feed: why dopamine neurons die. Movement disorders : official journal of the Movement Disorder Society. 27 [PubMed]

Bornstein AM, Daw ND. (2011). Multiplicity of control in the basal ganglia: computational roles of striatal subregions. Current opinion in neurobiology. 21 [PubMed]

Botvinick MM, Niv Y, Barto AG. (2009). Hierarchically organized behavior and its neural foundations: a reinforcement learning perspective. Cognition. 113 [PubMed]

Brea J, Urbanczik R, Senn W. (2014). A normative theory of forgetting: lessons from the fruit fly. PLoS computational biology. 10 [PubMed]

Chang CY et al. (2016). Brief optogenetic inhibition of dopamine neurons mimics endogenous negative reward prediction errors. Nature neuroscience. 19 [PubMed]

Collins AG, Frank MJ. (2014). Opponent actor learning (OpAL): modeling interactive effects of striatal dopamine on reinforcement learning and choice incentive. Psychological review. 121 [PubMed]

Collins AL et al. (2016). Dynamic mesolimbic dopamine signaling during action sequence learning and expectation violation. Scientific reports. 6 [PubMed]

Dai J, Kerestes R, Upton DJ, Busemeyer JR, Stout JC. (2015). An improved cognitive model of the Iowa and Soochow Gambling Tasks with regard to model fitting performance and tests of parameter consistency. Frontiers in psychology. 6 [PubMed]

Damodaran S, Cressman JR, Jedrzejewski-Szmek Z, Blackwell KT. (2015). Desynchronization of fast-spiking interneurons reduces ß-band oscillations and imbalance in firing in the dopamine-depleted striatum. The Journal of neuroscience : the official journal of the Society for Neuroscience. 35 [PubMed]

Daw ND, O'Doherty JP, Dayan P, Seymour B, Dolan RJ. (2006). Cortical substrates for exploratory decisions in humans. Nature. 441 [PubMed]

Day JJ, Jones JL, Wightman RM, Carelli RM. (2010). Phasic nucleus accumbens dopamine release encodes effort- and delay-related costs. Biological psychiatry. 68 [PubMed]

Day JJ, Roitman MF, Wightman RM, Carelli RM. (2007). Associative learning mediates dynamic shifts in dopamine signaling in the nucleus accumbens. Nature neuroscience. 10 [PubMed]

Dayan P, Balleine BW. (2002). Reward, motivation, and reinforcement learning. Neuron. 36 [PubMed]

Deco G, Jirsa VK, Robinson PA, Breakspear M, Friston K. (2008). The dynamic brain: from spiking neurons to neural masses and cortical fields. PLoS computational biology. 4 [PubMed]

Doya K. (2002). Metalearning and neuromodulation. Neural networks : the official journal of the International Neural Network Society. 15 [PubMed]

Durstewitz D, Deco G. (2008). Computational significance of transient dynamics in cortical networks. The European journal of neuroscience. 27 [PubMed]

Eshel N et al. (2015). Arithmetic and local circuitry underlying dopamine prediction errors. Nature. 525 [PubMed]

Frank MJ, Badre D. (2012). Mechanisms of hierarchical reinforcement learning in corticostriatal circuits 1: computational analysis. Cerebral cortex (New York, N.Y. : 1991). 22 [PubMed]

Frank MJ, Samanta J, Moustafa AA, Sherman SJ. (2007). Hold your horses: impulsivity, deep brain stimulation, and medication in parkinsonism. Science (New York, N.Y.). 318 [PubMed]

Frey U, Schroeder H, Matthies H. (1990). Dopaminergic antagonists prevent long-term maintenance of posttetanic LTP in the CA1 region of rat hippocampal slices. Brain research. 522 [PubMed]

Friedrich J, Lengyel M. (2016). Goal-Directed Decision Making with Spiking Neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience. 36 [PubMed]

Gerfen CR, Surmeier DJ. (2011). Modulation of striatal projection systems by dopamine. Annual review of neuroscience. 34 [PubMed]

Gershman SJ. (2014). Dopamine ramps are a consequence of reward prediction errors. Neural computation. 26 [PubMed]

Gershman SJ, Moustafa AA, Ludvig EA. (2014). Time representation in reinforcement learning models of the basal ganglia. Frontiers in computational neuroscience. 7 [PubMed]

Glimcher PW. (2011). Understanding dopamine and reinforcement learning: the dopamine reward prediction error hypothesis. Proceedings of the National Academy of Sciences of the United States of America. 108 Suppl 3 [PubMed]

Gouvêa TS et al. (2015). Striatal dynamics explain duration judgments. eLife. 4 [PubMed]

Hamid AA et al. (2016). Mesolimbic dopamine signals the value of work. Nature neuroscience. 19 [PubMed]

Hardt O, Nader K, Nadel L. (2013). Decay happens: the role of active forgetting in memory. Trends in cognitive sciences. 17 [PubMed]

Hart AS, Rutledge RB, Glimcher PW, Phillips PE. (2014). Phasic dopamine release in the rat nucleus accumbens symmetrically encodes a reward prediction error term. The Journal of neuroscience : the official journal of the Society for Neuroscience. 34 [PubMed]

Hirashima M, Nozaki D. (2012). Learning with slight forgetting optimizes sensorimotor transformation in redundant motor systems. PLoS computational biology. 8 [PubMed]

Howe MW, Dombeck DA. (2016). Rapid signalling in distinct dopaminergic axons during locomotion and reward. Nature. 535 [PubMed]

Howe MW, Tierney PL, Sandberg SG, Phillips PE, Graybiel AM. (2013). Prolonged dopamine signalling in striatum signals proximity and value of distant rewards. Nature. 500 [PubMed]

Hsiao PY, Lo CC. (2013). A plastic corticostriatal circuit model of adaptation in perceptual decision making. Frontiers in computational neuroscience. 7 [PubMed]

Humphries MD, Khamassi M, Gurney K. (2012). Dopaminergic Control of the Exploration-Exploitation Trade-Off via the Basal Ganglia. Frontiers in neuroscience. 6 [PubMed]

Humphries MD, Stewart RD, Gurney KN. (2006). A physiologically plausible model of action selection and oscillatory activity in the basal ganglia. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

Hunt LT et al. (2012). Mechanisms underlying cortical activity during value-guided choice. Nature neuroscience. 15 [PubMed]

Ikemoto S, Panksepp J. (1996). Dissociations between appetitive and consummatory responses by pharmacological manipulations of reward-relevant brain regions. Behavioral neuroscience. 110 [PubMed]

Ingram JN, Flanagan JR, Wolpert DM. (2013). Context-dependent decay of motor memories during skill acquisition. Current biology : CB. 23 [PubMed]

Ito M, Doya K. (2009). Validation of decision-making models and analysis of decision variables in the rat basal ganglia. The Journal of neuroscience : the official journal of the Society for Neuroscience. 29 [PubMed]

Jackson M. (2002). Disease and diversity in history. (Reviews of: Cartwright, FF, Biddiss, M. Disease and history. Gloucestershire: Sutton Publishing Limited, 2000; Rotberg RI, ed. Health and disease in human history. Cambridge, MA: MIT Press, 2000; Cliff, A., Haggett, P., Smallman-Raynor, M. Deciphering global epidemics: analytical approaches to the disease records of world cities, 1888-1912. Cambridge: Cambridge University Press, 1998; Riley, JC. Rising life expectancy: a global history. Cambridge: Cambridge University Press, 2001; McMichael, T. Human frontiers, environments and disease: past patterns, uncertain futures. Cambridge: Cambridge University Press, 2001). Social history of medicine : the journal of the Society for the Social History of Medicine. 15 [PubMed]

Jocham G, Hunt LT, Near J, Behrens TE. (2012). A mechanism for value-guided choice based on the excitation-inhibition balance in prefrontal cortex. Nature neuroscience. 15 [PubMed]

Joshua M et al. (2009). Synchronization of midbrain dopaminergic neurons is enhanced by rewarding events. Neuron. 62 [PubMed]

Keeler JF, Pretsell DO, Robbins TW. (2014). Functional implications of dopamine D1 vs. D2 receptors: A 'prepare and select' model of the striatal direct vs. indirect pathways. Neuroscience. 282 [PubMed]

Keiflin R, Janak PH. (2015). Dopamine Prediction Errors in Reward Learning and Addiction: From Theory to Neural Circuitry. Neuron. 88 [PubMed]

Keramati M, Gutkin B. (2014). Homeostatic reinforcement learning for integrating reward collection and physiological stability. eLife. 3 [PubMed]

Khamassi M, Humphries MD. (2012). Integrating cortico-limbic-basal ganglia architectures for learning model-based and model-free navigation strategies. Frontiers in behavioral neuroscience. 6 [PubMed]

Khamassi M, Quilodran R, Enel P, Dominey PF, Procyk E. (2015). Behavioral Regulation and the Modulation of Information Coding in the Lateral Prefrontal and Cingulate Cortex. Cerebral cortex (New York, N.Y. : 1991). 25 [PubMed]

Kim B, Hawes SL, Gillani F, Wallace LJ, Blackwell KT. (2013). Signaling pathways involved in striatal synaptic plasticity are sensitive to temporal pattern and exhibit spatial specificity. PLoS computational biology. 9 [PubMed]

Kim HF, Hikosaka O. (2015). Parallel basal ganglia circuits for voluntary and automatic behaviour to reach rewards. Brain : a journal of neurology. 138 [PubMed]

Kirkpatrick S, Gelatt CD, Vecchi MP. (1983). Optimization by simulated annealing. Science (New York, N.Y.). 220 [PubMed]

Klampfl S, Maass W. (2013). Emergence of dynamic memory traces in cortical microcircuit models through STDP. The Journal of neuroscience : the official journal of the Society for Neuroscience. 33 [PubMed]

Ko D, Wanat MJ. (2016). Phasic Dopamine Transmission Reflects Initiation Vigor and Exerted Effort in an Action- and Region-Specific Manner. The Journal of neuroscience : the official journal of the Society for Neuroscience. 36 [PubMed]

Lak A, Stauffer WR, Schultz W. (2014). Dopamine prediction error responses integrate subjective value from different reward dimensions. Proceedings of the National Academy of Sciences of the United States of America. 111 [PubMed]

Lau B, Glimcher PW. (2005). Dynamic response-by-response models of matching behavior in rhesus monkeys. Journal of the experimental analysis of behavior. 84 [PubMed]

Le Bouc R et al. (2016). Computational Dissection of Dopamine Motor and Motivational Functions in Humans. The Journal of neuroscience : the official journal of the Society for Neuroscience. 36 [PubMed]

Li YQ et al. (2011). Inhibition of PKMzeta in nucleus accumbens core abolishes long-term drug reward memory. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]

Lindskog M, Kim M, Wikström MA, Blackwell KT, Kotaleski JH. (2006). Transient calcium and dopamine increase PKA activity and DARPP-32 phosphorylation. PLoS computational biology. 2 [PubMed]

Lisman J, Grace AA, Duzel E. (2011). A neoHebbian framework for episodic memory; role of dopamine-dependent late LTP. Trends in neurosciences. 34 [PubMed]

Lloyd K, Dayan P. (2015). Tamping Ramping: Algorithmic, Implementational, and Computational Explanations of Phasic Dopamine Signals in the Accumbens. PLoS computational biology. 11 [PubMed]

Lo CC, Wang XJ. (2006). Cortico-basal ganglia circuit mechanism for a decision threshold in reaction time tasks. Nature neuroscience. 9 [PubMed]

Lobb CJ, Troyer TW, Wilson CJ, Paladini CA. (2011). Disinhibition bursting of dopaminergic neurons. Frontiers in systems neuroscience. 5 [PubMed]

Mandali A, Rengaswamy M, Chakravarthy VS, Moustafa AA. (2015). A spiking Basal Ganglia model of synchrony, exploration and decision making. Frontiers in neuroscience. 9 [PubMed]

Marr D, Poggio T. (1977). From understanding computation to understanding neural circuitry Neurosci. Res. Program Bull.. 15

McClure SM, Berns GS, Montague PR. (2003). Temporal prediction errors in a passive learning task activate human striatum. Neuron. 38 [PubMed]

McClure SM, Daw ND, Montague PR. (2003). A computational substrate for incentive salience. Trends in neurosciences. 26 [PubMed]

Montague PR, Dayan P, Sejnowski TJ. (1996). A framework for mesencephalic dopamine systems based on predictive Hebbian learning. The Journal of neuroscience : the official journal of the Society for Neuroscience. 16 [PubMed]

Morita K. (2014). Differential cortical activation of the striatal direct and indirect pathway cells: reconciling the anatomical and optogenetic results by using a computational method. Journal of neurophysiology. 112 [PubMed]

Morita K, Jitsev J, Morrison A. (2016). Corticostriatal circuit mechanisms of value-based action selection: Implementation of reinforcement learning algorithms and beyond. Behavioural brain research. 311 [PubMed]

Morita K, Kato A. (2014). Striatal dopamine ramping may indicate flexible reinforcement learning with forgetting in the cortico-basal ganglia circuits. Frontiers in neural circuits. 8 [PubMed]

Morita K, Kawaguchi Y. (2015). Computing reward-prediction error: an integrated account of cortical timing and basal-ganglia pathways for appetitive and aversive learning. The European journal of neuroscience. 42 [PubMed]

Morita K, Morishima M, Sakai K, Kawaguchi Y. (2012). Reinforcement learning: computing the temporal difference of values via distinct corticostriatal pathways. Trends in neurosciences. 35 [PubMed]

Morita K, Morishima M, Sakai K, Kawaguchi Y. (2013). Dopaminergic control of motivation and reinforcement learning: a closed-circuit account for reward-oriented behavior. The Journal of neuroscience : the official journal of the Society for Neuroscience. 33 [PubMed]

Moustafa AA, Bar-Gad I, Korngreen A, Bergman H. (2014). Basal ganglia: physiological, behavioral, and computational studies. Frontiers in systems neuroscience. 8 [PubMed]

Nader K, Hardt O. (2009). A single standard for memory: the case for reconsolidation. Nature reviews. Neuroscience. 10 [PubMed]

Nakano T, Doi T, Yoshimoto J, Doya K. (2010). A kinetic model of dopamine- and calcium-dependent striatal synaptic plasticity. PLoS computational biology. 6 [PubMed]

Niranjan M, Rummery GA. (1994). On-line Q-learning using connectionist systems Technical Report CUED/F-INFENG/TR 166.

Niv Y. (2007). Cost, benefit, tonic, phasic: what do response rates tell us about dopamine and motivation? Annals of the New York Academy of Sciences. 1104 [PubMed]

Niv Y et al. (2015). Reinforcement learning in multidimensional environments relies on attention mechanisms. The Journal of neuroscience : the official journal of the Society for Neuroscience. 35 [PubMed]

Niv Y, Daw ND, Dayan P. (2006). Choice values. Nature neuroscience. 9 [PubMed]

Niv Y, Daw ND, Joel D, Dayan P. (2007). Tonic dopamine: opportunity costs and the control of response vigor. Psychopharmacology. 191 [PubMed]

Niv Y, Langdon A. (2016). Reinforcement learning with Marr. Current opinion in behavioral sciences. 11 [PubMed]

Niv Y, Schoenbaum G. (2008). Dialogues on prediction errors. Trends in cognitive sciences. 12 [PubMed]

Niyogi RK, Wong-Lin K. (2013). Dynamic excitatory and inhibitory gain modulation can produce flexible, robust and optimal decision-making. PLoS computational biology. 9 [PubMed]

O'Doherty JP, Dayan P, Friston K, Critchley H, Dolan RJ. (2003). Temporal difference models and reward-related learning in the human brain. Neuron. 38 [PubMed]

Oster A, Faure P, Gutkin BS. (2015). Mechanisms for multiple activity modes of VTA dopamine neurons. Frontiers in computational neuroscience. 9 [PubMed]

Pan WX, Schmidt R, Wickens JR, Hyland BI. (2008). Tripartite mechanism of extinction suggested by dopamine neuron activity and temporal difference model. The Journal of neuroscience : the official journal of the Society for Neuroscience. 28 [PubMed]

Panigrahi B et al. (2015). Dopamine Is Required for the Neural Representation and Control of Movement Vigor. Cell. 162 [PubMed]

Parker NF et al. (2016). Reward and choice encoding in terminals of midbrain dopamine neurons depends on striatal target. Nature neuroscience. 19 [PubMed]

Pavlides A, Hogan SJ, Bogacz R. (2015). Computational Models Describing Possible Mechanisms for Generation of Excessive Beta Oscillations in Parkinson's Disease. PLoS computational biology. 11 [PubMed]

Phillips PE, Stuber GD, Heien ML, Wightman RM, Carelli RM. (2003). Subsecond dopamine release promotes cocaine seeking. Nature. 422 [PubMed]

Pissadaki EK, Bolam JP. (2013). The energy cost of action potential propagation in dopamine neurons: clues to susceptibility in Parkinson's disease. Frontiers in computational neuroscience. 7 [PubMed]

Ponzi A, Wickens J. (2010). Sequentially switching cell assemblies in random inhibitory networks of spiking neurons in the striatum. The Journal of neuroscience : the official journal of the Society for Neuroscience. 30 [PubMed]

Ponzi A, Wickens JR. (2013). Optimal balance of the striatal medium spiny neuron network. PLoS computational biology. 9 [PubMed]

Reynolds JN, Hyland BI, Wickens JR. (2001). A cellular mechanism of reward-related learning. Nature. 413 [PubMed]

Robbins TW, Everitt BJ. (1996). Neurobehavioural mechanisms of reward and motivation. Current opinion in neurobiology. 6 [PubMed]

Roesch MR, Calu DJ, Schoenbaum G. (2007). Dopamine neurons encode the better option in rats deciding between differently delayed or sized rewards. Nature neuroscience. 10 [PubMed]

Roitman MF, Stuber GD, Phillips PE, Wightman RM, Carelli RM. (2004). Dopamine operates as a subsecond modulator of food seeking. The Journal of neuroscience : the official journal of the Society for Neuroscience. 24 [PubMed]

Roth AE, Erev I. (1998). Predicting how people play games: Reinforcement learning in experimental games with unique, mixed strategy equilibria Am Econ Rev.. 88(4)

Rutledge RB, Dean M, Caplin A, Glimcher PW. (2010). Testing the reward prediction error hypothesis with an axiomatic model. The Journal of neuroscience : the official journal of the Society for Neuroscience. 30 [PubMed]

Rutledge RB, Skandali N, Dayan P, Dolan RJ. (2014). A computational and neural model of momentary subjective well-being. Proceedings of the National Academy of Sciences of the United States of America. 111 [PubMed]

Rutledge RB, Skandali N, Dayan P, Dolan RJ. (2015). Dopaminergic Modulation of Decision Making and Subjective Well-Being. The Journal of neuroscience : the official journal of the Society for Neuroscience. 35 [PubMed]

Saddoris MP, Cacciapaglia F, Wightman RM, Carelli RM. (2015). Differential Dopamine Release Dynamics in the Nucleus Accumbens Core and Shell Reveal Complementary Signals for Error Prediction and Incentive Motivation. The Journal of neuroscience : the official journal of the Society for Neuroscience. 35 [PubMed]

Salamone JD, Correa M. (2002). Motivational views of reinforcement: implications for understanding the behavioral functions of nucleus accumbens dopamine. Behavioural brain research. 137 [PubMed]

Salamone JD, Cousins MS, Bucher S. (1994). Anhedonia or anergia? Effects of haloperidol and nucleus accumbens dopamine depletion on instrumental response selection in a T-maze cost/benefit procedure. Behavioural brain research. 65 [PubMed]

Schroll H, Hamker FH. (2013). Computational models of basal-ganglia pathway functions: focus on functional neuroanatomy. Frontiers in systems neuroscience. 7 [PubMed]

Schultz W, Carelli RM, Wightman RM. (2015). Phasic dopamine signals: from subjective reward value to formal economic utility. Current opinion in behavioral sciences. 5 [PubMed]

Schultz W, Dayan P, Montague PR. (1997). A neural substrate of prediction and reward. Science (New York, N.Y.). 275 [PubMed]

Shema R et al. (2011). Enhancement of consolidated long-term memory by overexpression of protein kinase Mzeta in the neocortex. Science (New York, N.Y.). 331 [PubMed]

Soltani A, Wang XJ. (2008). From biophysics to cognition: reward-dependent adaptive choice behavior. Current opinion in neurobiology. 18 [PubMed]

Stauffer WR, Lak A, Schultz W. (2014). Dopamine reward prediction error responses reflect marginal utility. Current biology : CB. 24 [PubMed]

Steinberg EE et al. (2013). A causal link between prediction errors, dopamine neurons and learning. Nature neuroscience. 16 [PubMed]

Strogatz SH. (1994). Nonlinear Dynamics And Chaos With Applications To Physics, Biology, Chemistry, And Engineering.

Syed EC et al. (2016). Action initiation shapes mesolimbic dopamine encoding of future rewards. Nature neuroscience. 19 [PubMed]

Takahashi YK et al. (2011). Expectancy-related changes in firing of dopamine neurons depend on orbitofrontal cortex. Nature neuroscience. 14 [PubMed]

Tamosiunaite M et al. (2008). Path-finding in real and simulated rats: assessing the influence of path characteristics on navigation learning. Journal of computational neuroscience. 25 [PubMed]

Tanaka SC et al. (2004). Prediction of immediate and future rewards differentially recruits cortico-basal ganglia loops. Nature neuroscience. 7 [PubMed]

Tetzlaff C, Kolodziejski C, Markelic I, Wörgötter F. (2012). Time scales of memory, learning, and plasticity. Biological cybernetics. 106 [PubMed]

Tobler PN, Fiorillo CD, Schultz W. (2005). Adaptive coding of reward value by dopamine neurons. Science (New York, N.Y.). 307 [PubMed]

Toledo-Suárez C, Duarte R, Morrison A. (2014). Liquid computing on and off the edge of chaos with a striatal microcircuit. Frontiers in computational neuroscience. 8 [PubMed]

Wagner A, Rescorla R. (1972). A theory of Pavlovian conditioning: Variations in the effectiveness of reinforcement and non-reinforcement Classical Conditioning II: Current Research and Theory.

Wassum KM, Ostlund SB, Maidment NT. (2012). Phasic mesolimbic dopamine signaling precedes and predicts performance of a self-initiated action sequence task. Biological psychiatry. 71 [PubMed]

Watkins CJCH. (1989). Learning from delayed rewards Unpublished doctoral dissertation.

Wilson RC, Takahashi YK, Schoenbaum G, Niv Y. (2014). Orbitofrontal cortex as a cognitive map of task space. Neuron. 81 [PubMed]

Wong KF, Huk AC, Shadlen MN, Wang XJ. (2007). Neural circuit dynamics underlying accumulation of time-varying evidence during perceptual decision making. Frontiers in computational neuroscience. 1 [PubMed]

Wong KF, Wang XJ. (2006). A recurrent network mechanism of time integration in perceptual decisions. The Journal of neuroscience : the official journal of the Society for Neuroscience. 26 [PubMed]

Xiao MY, Niu YP, Wigström H. (1996). Activity-dependent decay of early LTP revealed by dual EPSP recording in hippocampal slices from young rats. The European journal of neuroscience. 8 [PubMed]

Yagishita S et al. (2014). A critical time window for dopamine actions on the structural plasticity of dendritic spines. Science (New York, N.Y.). 345 [PubMed]

Yttri EA, Dudman JT. (2016). Opponent and bidirectional control of movement velocity in the basal ganglia. Nature. 533 [PubMed]

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