Cited by 1,190Memory and Neural MechanismsNeural and Behavioral Psychology StudiesMotor Control and Adaptation

The DOI matches its Crossref record.

Models of Information Processing in the Basal Ganglia

·1994·The MIT Press eBooks

Open this paper in CoChat — free account

Abstract

This book brings together the biology and computational features of the basal ganglia and their related cortical areas along with select examples of how this knowledge can be integrated into neural network models. Recent years have seen a remarkable expansion of knowledge about the anatomical organization of the part of the brain known as the basal ganglia, the signal processing that occurs in these structures, and the many relations both to molecular mechanisms and to cognitive functions. This book brings together the biology and computational features of the basal ganglia and their related cortical areas along with select examples of how this knowledge can be integrated into neural network models. Organized in four parts - fundamentals, motor functions and working memories, reward mechanisms, and cognitive and memory operations - the chapters present a unique admixture of theory, cognitive psychology, anatomy, and both cellular- and systems- level physiology written by experts in each of these areas. The editors have provided commentaries as a helpful guide to each part. Many new discoveries about the biology of the basal ganglia are summarized, and their impact on the computational role of the forebrain in the planning and control of complex motor behaviors discussed. The various findings point toward an unexpected role for the basal ganglia in the contextual analysis of the environment and in the adaptive use of this information for the planning and execution of intelligent behaviors. Parallels are explored between these findings and new connectionist approaches to difficult control problems in robotics and engineering. Contributors James L. Adams, P. Apicella, Michael Arbib, Dana H. Ballard, Andrew G. Barto, J. Brian Burns, Christopher I. Connolly, Peter F. Dominey, Richard P. Dum, John Gabrieli, M. Garcia-Munoz, Patricia S. Goldman-Rakic, Ann M. Graybiel, P. M. Groves, Mary M. Hayhoe, J. R. Hollerman, George Houghton, James C. Houk, Stephen Jackson, Minoru Kimura, A. B. Kirillov, Rolf Kotter, J. C. Linder, T. Ljungberg, M. S. Manley, M. E. Martone, J. Mirenowicz, C. D. Myre, Jeff Pelz, Nathalie Picard, R. Romo, S. F. Sawyer, E Scarnat, Wolfram Schultz, Peter L. Strick, Charles J. Wilson, Jeff Wickens, Donald J. Woodward, S. J. Young Bradford Books imprint

Integrity signals

Registry

Crossref · 10.7551/mitpress/4708.001.0001

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Sorted by citations

Items 101–200 of 999

Writing Memories with Light-Addressable Reinforcement Circuitry
Claridge-Chang, A., Roorda, R. D., Vrontou, E., Sjulson, L., Li, H., Hirsh, J., & Miesenböck, G. (2009) · Cell · doi:10.1016/j.cell.2009.08.034 · Cited by 484
Brain potentials associated with expected and unexpected good and bad outcomes
Hajcak, G., Holroyd, C. B., Moser, J. S., & Simons, R. F. (2005) · Psychophysiology · doi:10.1111/j.1469-8986.2005.00278.x · Cited by 500
Dopamine: generalization and bonuses
Kakade, S. M., & Dayan, P. (2002) · Neural Networks · doi:10.1016/s0893-6080(02)00048-5 · Cited by 495
Recent advances in Tourette syndrome research
Albin, R. L., & Mink, J. W. (2006) · Trends in Neurosciences · doi:10.1016/j.tins.2006.01.001 · Cited by 478
Action, Outcome, and Value
Cushman, F. A. (2013) · Personality and Social Psychology Review · doi:10.1177/1088868313495594 · Cited by 507
Opponency revisited: competition and cooperation between dopamine and serotonin
Boureau, Y.-L., & Dayan, P. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2010.151 · Cited by 456
The prefrontal cortex and the integration of sensory, limbic and autonomic information
Groenewegen, H. J., & Uylings, H. B. M. (2000) · Progress in brain research · doi:10.1016/s0079-6123(00)26003-2 · Cited by 454
Prediction error in reinforcement learning: A meta-analysis of neuroimaging studies
Garrison, J. R., Erdeniz, B., & Done, J. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.03.023 · Cited by 460
fMRI evidence of age-related hippocampal dysfunction in feature binding in working memory
Mitchell, K., Johnson, M. K., Raye, C. L., & D’Esposito, M. (2000) · Cognitive Brain Research · doi:10.1016/s0926-6410(00)00029-x · Cited by 441
Opponent appetitive-aversive neural processes underlie predictive learning of pain relief
Seymour, B., O'Doherty, J. P., Koltzenburg, M., Wiech, K., Frackowiak, R., Friston, K., & Dolan, R. (2005) · Nature Neuroscience · doi:10.1038/nn1527 · Cited by 439
Influence of Reward Delays on Responses of Dopamine Neurons
Kobayashi, S., & Schultz, W. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.1600-08.2008 · Cited by 440
Errors in reward prediction are reflected in the event-related brain potential
Holroyd, C. B., Nieuwenhuis, S., Yeung, N., & Cohen, J. D. (2003) · Neuroreport · doi:10.1097/00001756-200312190-00037 · Cited by 438
Dopamine cells respond to predicted events during classical conditioning: evidence for eligibility traces in the reward-learning network
Pan, W.-X., Schmidt, R., Wickens, J. R., & Hyland, B. I. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.1478-05.2005 · Cited by 429
Reward-guided learning beyond dopamine in the nucleus accumbens: the integrative functions of cortico-basal ganglia networks
Yin, H. H., Ostlund, S. B., & Balleine, B. W. (2008) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2008.06422.x · Cited by 416
Consensus Paper: Towards a Systems-Level View of Cerebellar Function: the Interplay Between Cerebellum, Basal Ganglia, and Cortex
Caligiore, D., Pezzulo, G., Baldassarre, G., Bostan, A. C., Strick, P. L., Doya, K., Helmich, R. C. G., Dirkx, M. F., Houk, J. C., Jörntell, H., et al. (2016) · The Cerebellum · doi:10.1007/s12311-016-0763-3 · Cited by 454
A computational substrate for incentive salience
McClure, S. M., Daw, N. D., & Montague, P. R. (2003) · Trends in Neurosciences · doi:10.1016/s0166-2236(03)00177-2 · Cited by 416
Temporal processing in the basal ganglia.
Harrington, D. L., Haaland, K. Y., & Hermanowitz, N. (1998) · Neuropsychology · doi:10.1037//0894-4105.12.1.3 · Cited by 490
The Basal Ganglia and Cortex Implement Optimal Decision Making Between Alternative Actions
Bogacz, R., & GURNEY, K. N. (2007) · Neural Computation · doi:10.1162/neco.2007.19.2.442 · Cited by 427
Neuromodulated Spike-Timing-Dependent Plasticity, and Theory of Three-Factor Learning Rules
Frémaux, N., & Wulfram Gerstner, B. (2016) · Frontiers in Neural Circuits · doi:10.3389/fncir.2015.00085 · Cited by 449
Neural representations and mechanisms for the performance of simple speech sequences
Bohland, J. W., Bullock, D., & Guenther, F. H. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21306 · Cited by 393
Value Representations in the Primate Striatum during Matching Behavior
Lau, B., & Glimcher, P. W. (2008) · Neuron · doi:10.1016/j.neuron.2008.02.021 · Cited by 419
Information processing, dimensionality reduction and reinforcement learning in the basal ganglia
Bar‐Gad, I., Morris, G., & Bergman, H. (2003) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2003.12.001 · Cited by 413
Striatal activation during acquisition of a cognitive skill.
Poldrack, R. A., Prabhakaran, V., Seger, C. A., & Gabrieli, J. D. E. (1999) · Neuropsychology · doi:10.1037//0894-4105.13.4.564 · Cited by 428
Arithmetic and local circuitry underlying dopamine prediction errors
Eshel, N., Bukwich, M., Rao, V., Hemmelder, V., Tian, J., & Uchida, N. (2015) · Nature · doi:10.1038/nature14855 · Cited by 401
Précis of The brain and emotion
Rolls, E. T. (2000) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00002429 · Cited by 397
The misbehavior of value and the discipline of the will
Dayan, P., Niv, Y., Seymour, B., & Daw, N. D. (2006) · Neural Networks · doi:10.1016/j.neunet.2006.03.002 · Cited by 398
Computational perspectives on dopamine function in prefrontal cortex
Cohen, J. D., Braver, T. S., & Brown, J. W. (2002) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(02)00314-8 · Cited by 387
Banishing the homunculus: Making working memory work
Hazy, T. E., Frank, M. J., & O’Reilly, R. C. (2006) · Neuroscience · doi:10.1016/j.neuroscience.2005.04.067 · Cited by 385
Reconciling reinforcement learning models with behavioral extinction and renewal: implications for addiction, relapse, and problem gambling
Redish, A. D., Jensen, S., Johnson, A., & Kurth-Nelson, Z. (2007) · Psychological Review · doi:10.1037/0033-295x.114.3.784 · Cited by 346
Learning latent structure: carving nature at its joints
Gershman, S. J., & Niv, Y. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.02.008 · Cited by 326
Model-based and model-free Pavlovian reward learning: Revaluation, revision, and revelation
Dayan, P., & Berridge, K. C. (2014) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-014-0277-8 · Cited by 357
Basal ganglia dysfunction in Tourette’s syndrome: a new hypothesis
Mink, J. W. (2001) · Pediatric Neurology · doi:10.1016/s0887-8994(01)00262-4 · Cited by 357
The nucleus accumbens as part of a basal ganglia action selection circuit
Nicola, S. M. (2006) · Psychopharmacology · doi:10.1007/s00213-006-0510-4 · Cited by 383
Neuroanatomical localization of an internal clock: A functional link between mesolimbic, nigrostriatal, and mesocortical dopaminergic systems
Meck, W. H. (2006) · Brain Research · doi:10.1016/j.brainres.2006.06.031 · Cited by 369
Conditional routing of information to the cortex: A model of the basal ganglia’s role in cognitive coordination.
Stocco, A., Lebiere, C. J., & Anderson, J. R. (2010) · Psychological Review · doi:10.1037/a0019077 · Cited by 383
Inhibitory motor control in stop paradigms: Review and reinterpretation of neural mechanisms
Band, G. P. H., & van Boxtel, G. J. M. (1999) · Acta Psychologica · doi:10.1016/s0001-6918(99)00005-0 · Cited by 346
The good, the bad and the neutral: Electrophysiological responses to feedback stimuli
Holroyd, C. B., Hajcak, G., & Larsen, J. T. (2006) · Brain Research · doi:10.1016/j.brainres.2005.12.015 · Cited by 350
The basal ganglia and cognitive pattern generators
Graybiel, A. M. (1997) · Schizophrenia Bulletin · doi:10.1093/schbul/23.3.459 · Cited by 351
Fronto-striatal connections in the human brain: A probabilistic diffusion tractography study
Leh, S. E., Ptito, A., Chakravarty, M. M., & Strafella, A. P. (2007) · Neuroscience Letters · doi:10.1016/j.neulet.2007.04.049 · Cited by 352
Dialogues on prediction errors
Niv, Y., & Schoenbaum, G. M. (2008) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2008.03.006 · Cited by 377
Rethinking extinction
Dunsmoor, J. E., Niv, Y., Daw, N., & Phelps, E. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.028 · Cited by 329
Mapping the network for planning: a correlational PET activation study with the Tower of London task
Dagher, A., Owen, A. M., Boecker, H., & Brooks, D. J. (1999) · Brain · doi:10.1093/brain/122.10.1973 · Cited by 345
Depression and reduced sensitivity to non-rewards versus rewards: Evidence from event-related potentials
Foti, D., & Hajcak, G. (2009) · Biological Psychology · doi:10.1016/j.biopsycho.2008.12.004 · Cited by 341
Animal Foraging and the Evolution of Goal‐Directed Cognition
Hills, T. T. (2006) · Cognitive Science · doi:10.1207/s15516709cog0000_50 · Cited by 345
Selective Reaching to Grasp: Evidence for Distractor Interference Effects
Tipper, S. P., Howard, L. A., & Jackson, S. R. (1997) · Visual Cognition · doi:10.1080/713756749 · Cited by 341
Oscillations in the basal ganglia under normal conditions and in movement disorders
Gatev, P., Darbin, O., & Wichmann, T. (2006) · Movement Disorders · doi:10.1002/mds.21033 · Cited by 327
Mapping value based planning and extensively trained choice in the human brain
Wunderlich, K., Dayan, P., & Dolan, R. J. (2012) · Nature Neuroscience · doi:10.1038/nn.3068 · Cited by 310
Emotion, decision making, and the amygdala.
Seymour, B., & Dolan, R. (2008) · Neuron · doi:10.1016/j.neuron.2008.05.020 · Cited by 324
Coincident Activation of NMDA and Dopamine D1Receptors within the Nucleus Accumbens Core Is Required for Appetitive Instrumental Learning
Smith‐Roe, S. L., & Kelley, A. E. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-20-07737.2000 · Cited by 321
Reward prediction in primate basal ganglia and frontal cortex
Schultz, W., Tremblay, L., & Hollerman, J. R. (1998) · Neuropharmacology · doi:10.1016/s0028-3908(98)00071-9 · Cited by 318
Neural systems implicated in delayed and probabilistic reinforcement
Cardinal, R. N. (2006) · Neural Networks · doi:10.1016/j.neunet.2006.03.004 · Cited by 330
Delayed feedback effects on rule-based and information-integration category learning.
Maddox, W. T., Ashby, F. G., & Bohil, C. J. (2003) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.29.4.650 · Cited by 311
Auditory feedback in learning and maintenance of vocal behaviour
Brainard, M. S., & Doupe, A. J. (2000) · Nature Reviews Neuroscience · doi:10.1038/35036205 · Cited by 314
Reinforcement learning in artificial and biological systems
Neftci, E. O., & Averbeck, B. B. (2019) · Nature Machine Intelligence · doi:10.1038/s42256-019-0025-4 · Cited by 268
E–Z Reader: A cognitive-control, serial-attention model of eye-movement behavior during reading
Reichle, E. D., Pollatsek, A., & Rayner, K. (2005) · Cognitive Systems Research · doi:10.1016/j.cogsys.2005.07.002 · Cited by 296
How the Basal Ganglia Use Parallel Excitatory and Inhibitory Learning Pathways to Selectively Respond to Unexpected Rewarding Cues
Brown, J. W., Bullock, D. H., & Grossberg, S. (1999) · Journal of Neuroscience · doi:10.1523/jneurosci.19-23-10502.1999 · Cited by 299
Dopamine D1-like Receptors and Reward-related Incentive Learning
Beninger, R. J. (1998) · Neuroscience & Biobehavioral Reviews · doi:10.1016/s0149-7634(97)00019-5 · Cited by 299
Hierarchical motor control in mammals and machines
Merel, J., Botvinick, M., & Wayne, G. (2019) · Nature Communications · doi:10.1038/s41467-019-13239-6 · Cited by 274
Modeling internal commitment mechanisms and self-control: A neuroeconomics approach to consumption–saving decisions
Benhabib, J., & Bisin, A. (2004) · Games and Economic Behavior · doi:10.1016/j.geb.2004.10.004 · Cited by 279
Validation of Decision-Making Models and Analysis of Decision Variables in the Rat Basal Ganglia
Ito, M., & Doya, K. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.6157-08.2009 · Cited by 284
Nucleus accumbens dopamine depletion impairs both acquisition and performance of appetitive Pavlovian approach behaviour: implications for mesoaccumbens dopamine function
Parkinson, J. A., Dalley, J. W., Cardinal, R. N., Bamford, A., Fehnert, B., Lachenal, G., Rudarakanchana, N., Halkerston, K. M., Robbins, T. W., & Everitt, B. J. (2002) · Behavioural Brain Research · doi:10.1016/s0166-4328(02)00291-7 · Cited by 288
D2 and D4 dopamine receptor polymorphisms and personality
Noble, E. P., Ozkaragoz, T. Z., Ritchie, T. L., Zhang, X., Belin, T. R., & Sparkes, R. S. (1998) · American Journal of Medical Genetics · doi:10.1002/(sici)1096-8628(19980508)81:3 · Cited by 292
A neurobiological theory of automaticity in perceptual categorization
Ashby, F. G., Ennis, J. M., & Spiering, B. J. (2007) · Psychological Review · doi:10.1037/0033-295x.114.3.632 · Cited by 286
Dopamine Neurons Can Represent Context-Dependent Prediction Error
Nakahara, H., Itoh, H., Kawagoe, R., Takikawa, Y., & Hikosaka, O. (2004) · Neuron · doi:10.1016/s0896-6273(03)00869-9 · Cited by 276
Sensory and cognitive functions of the basal ganglia
Brown, L. L., Schneider, J. S., & Lidsky, T. I. (1997) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(97)80003-7 · Cited by 279
Evidence for Differential Cortical Input to Direct Pathway versus Indirect Pathway Striatal Projection Neurons in Rats
Lei, W., Jiao, Y., Mar, N. D., & Reiner, A. J. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.1990-04.2004 · Cited by 277
On the specific role of the cerebellum in motor learning and cognition: Clues from PET activation and lesion studies in man
Thach, W. T. (1996) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00081504 · Cited by 276
Lateral habenula neurons signal errors in the prediction of reward information
Bromberg-Martin, E. S., & Hikosaka, O. (2011) · Nature Neuroscience · doi:10.1038/nn.2902 · Cited by 275
Space, time and dopamine
Arbuthnott, G. W., & Wickens, J. R. (2006) · Trends in Neurosciences · doi:10.1016/j.tins.2006.12.003 · Cited by 287
Bidirectional Activity-Dependent Plasticity at Corticostriatal Synapses
Fino, É., Glowinski, J., & Venance, L. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.4476-05.2005 · Cited by 269
Opposite initialization to novel cues in dopamine signaling in ventral and posterior striatum in mice
Menegas, W., Babayan, B. M., Uchida, N., & Watabe‐Uchida, M. (2017) · eLife · doi:10.7554/elife.21886 · Cited by 267
Specialisation within the prefrontal cortex: the ventral prefrontal cortex and associative learning
Passingham, R. E., Toni, I., & Rushworth, M. F. S. (2000) · Experimental Brain Research · doi:10.1007/s002210000405 · Cited by 268
Connectionist modelling in psychology: A localist manifesto
Page, M. P. A. (2000) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00003356 · Cited by 270
How laminar frontal cortex and basal ganglia circuits interact to control planned and reactive saccades
Brown, J. W., Bullock, D. H., & Grossberg, S. (2003) · Neural Networks · doi:10.1016/j.neunet.2003.08.006 · Cited by 268
Cognitive deficits and striato-frontal dopamine release in Parkinson's disease
Sawamoto, N., Piccini, P. P., Hotton, G. R., Pavese, N., Thielemans, K., & Brooks, D. J. (2008) · Brain · doi:10.1093/brain/awn054 · Cited by 276
What is reinforced by phasic dopamine signals?
Redgrave, P., GURNEY, K. N., & Reynolds, J. N. J. (2007) · Brain Research Reviews · doi:10.1016/j.brainresrev.2007.10.007 · Cited by 261
Integrating multiple perspectives on error-related brain activity: The ERN as a neural indicator of trait defensive reactivity
Weinberg, A., Riesel, A., & Hajcak, G. (2011) · Motivation and Emotion · doi:10.1007/s11031-011-9269-y · Cited by 274
Dissociable Effects of Dopamine and Serotonin on Reversal Learning
den Ouden, H. E. M., Daw, N. D., Fernández, G., Elshout, J. A., Rijpkema, M., Hoogman, M., Franke, B., & Cools, R. (2013) · Neuron · doi:10.1016/j.neuron.2013.08.030 · Cited by 271
Individual differences in trait anhedonia: a structural and functional magnetic resonance imaging study in non-clinical subjects
Harvey, P.-O., Pruessner, J., Czechowska, Y., & Lepage, M. (2007) · Molecular Psychiatry · doi:10.1038/sj.mp.4002021 · Cited by 259
The role of the striatum and hippocampus in planning: A PET activation study in Parkinson's disease
Dagher, A. (2001) · Brain · doi:10.1093/brain/124.5.1020 · Cited by 260
Striatal and Tegmental Neurons Code Critical Signals for Temporal-Difference Learning of State Value in Domestic Chicks
Wen, C., Ogura, Y., & Matsushima, T. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00476 · Cited by 262
A Computational Model of Emotional Learning in the Amygdala
Morén, J., & Balkenius, C. (2000) · The MIT Press eBooks · doi:10.7551/mitpress/3120.003.0041 · Cited by 256
Serial reaction time learning and Parkinson's disease: Evidence for a procedural learning deficit
Jackson, G. M., Jackson, S. R., Harrison, J., Henderson, L., & Christopher Kennard, C. (1995) · Neuropsychologia · doi:10.1016/0028-3932(95)00010-z · Cited by 249
From ventral-medial to dorsal-lateral striatum: neural correlates of reward-guided decision-making
Burton, A. C., Nakamura, K., & Roesch, M. R. (2015) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2014.05.003 · Cited by 238
Learning the opportunity cost of time in a patch-foraging task
Constantino, S. M., & Daw, N. D. (2015) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-015-0350-y · Cited by 253
Organization of monosynaptic inputs to the serotonin and dopamine neuromodulatory systems
Ogawa, S. K., Cohen, J. Y., Hwang, D., Uchida, N., & Watabe-Uchida, M. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.06.042 · Cited by 249
Etiology and pathogenesis of Attention‐deficit Hyperactivity Disorder (ADHD): significance of prematurity and perinatal hypoxic‐haemodynamic encephalopathy
Lou, H. (1996) · Acta Paediatrica · doi:10.1111/j.1651-2227.1996.tb13909.x · Cited by 248
Emotional Intelligence and Education: A Critical Review
Humphrey, N., Curran, A., Morris, E., Farrell, P., & Woods, K. (2007) · Educational Psychology · doi:10.1080/01443410601066735 · Cited by 246
Selective enhancement of associative learning by microstimulation of the anterior caudate
Williams, Z. M., & Eskandar, E. N. (2006) · Nature Neuroscience · doi:10.1038/nn1662 · Cited by 235
Differential Responses in Human Striatum and Prefrontal Cortex to Changes in Object and Rule Relevance
Cools, R., Clark, L., & Robbins, T. W. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.4312-03.2004 · Cited by 239
Neurocomputational models of basal ganglia function in learning, memory and choice
Cohen, M. X., & Frank, M. J. (2008) · Behavioural Brain Research · doi:10.1016/j.bbr.2008.09.029 · Cited by 248
Reminders of past choices bias decisions for reward in humans
Bornstein, A. M., Khaw, M. W., Shohamy, D., & Daw, N. D. (2017) · Nature Communications · doi:10.1038/ncomms15958 · Cited by 231
A hypothesis for basal ganglia-dependent reinforcement learning in the songbird
Fee, M. S., & Goldberg, J. H. (2011) · Neuroscience · doi:10.1016/j.neuroscience.2011.09.069 · Cited by 241
Dual-task interference in perceptual category learning
Zeithamová, D., & Maddox, W. T. (2006) · Memory & Cognition · doi:10.3758/bf03193416 · Cited by 230
tDCS-induced alterations in GABA concentration within primary motor cortex predict motor learning and motor memory: a 7 T magnetic resonance spectroscopy study
Kim, S., Stephenson, M. C., Morris, P. G., & Jackson, S. R. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.070 · Cited by 227
Motor imagery of a lateralized sequential task is asymmetrically slowed in hemi-Parkinson's patients
Dominey, P. F., Decety, J., Broussolle, E., Chazot, G., & Jeannerod, M. (1995) · Neuropsychologia · doi:10.1016/0028-3932(95)00008-q · Cited by 233
The neural basis of associative reward learning in honeybees
Hammer, M. (1997) · Trends in Neurosciences · doi:10.1016/s0166-2236(96)01019-3 · Cited by 220
Distributed and Mixed Information in Monosynaptic Inputs to Dopamine Neurons
Tian, J., Huang, R., Cohen, J. Y., Osakada, F., Kobak, D., Machens, C. K., Callaway, E. M., Uchida, N., & Watabe-Uchida, M. (2016) · Neuron · doi:10.1016/j.neuron.2016.08.018 · Cited by 224
In vivo activity-dependent plasticity at cortico-striatal connections: Evidence for physiological long-term potentiation
Charpier, S., & Deniau, J. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.13.7036 · Cited by 228
A Mechanism for Error Detection in Speeded Response Time Tasks.
Holroyd, C. B., Yeung, N., COLES, M. G. H., & Cohen, J. D. (2005) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.134.2.163 · Cited by 227

Venue: The MIT Press eBooks
Publisher: The MIT Press
Published: 1994-11-07
DOI: 10.7551/mitpress/4708.001.0001
OpenAlex: W1607052939
Cited by: 1,190
References: 0
Citations by year: 2026: 4 · 2025: 12 · 2024: 9 · 2023: 38 · 2022: 14 · 2021: 13 · 2020: 47 · 2019: 21 · 2018: 16 · 2017: 17 · 2016: 26 · 2015: 29 · 2014: 28 · 2013: 46 · 2012: 33
FWCI: 16.11
Type: book
Language: en
Open access: closed
Locations: The MIT Press eBooks (publishedVersion)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
Keywords: basal ganglia, information processing, neural network model, motor control, working memory, reward processing, cognitive function, memory, cortical regions, forebrain, robot control, computational neuroscience

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Models of Information Processing in the Basal Ganglia

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cited by

Related

Metadata

Record

About these checks