The DOI matches its Crossref record; 211 of the 212 references it cites were found in a registry or an index.
Neural Mechanisms for Interacting with a World Full of Action Choices
Abstract
The neural bases of behavior are often discussed in terms of perceptual, cognitive, and motor stages, defined within an information processing framework that was originally inspired by models of human abstract problem solving. Here, we review a growing body of neurophysiological data that is difficult to reconcile with this influential theoretical perspective. As an alternative foundation for interpreting neural data, we consider frameworks borrowed from ethology, which emphasize the kinds of real-time interactive behaviors that animals have engaged in for millions of years. In particular, we discuss an ethologically-inspired view of interactive behavior as simultaneous processes that specify potential motor actions and select between them. We review how recent neurophysiological data from diverse cortical and subcortical regions appear more compatible with this parallel view than with the classical view of serial information processing stages.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“This phylogenetic progression rests on the hierarchical elaboration of more primitive architectures (Cisek and Kalaska, 2010, Pezzulo and Castelfranchi, 2009).”
From Active Inference, homeostatic regulation and adaptive behavioural control (2015) · cites this paper as Cisek and Kalaska, 2010
Citations
Cites
The Ecological Approach to Visual Perception
Bornstein, M. H., & Gibson, J. J. (1980) · The Journal of Aesthetics and Art Criticism · doi:10.2307/429816 · Cited by 22,935
The Framing of Decisions and the Psychology of Choice
Tversky, A., & Kahneman, D. (1981) · Science · doi:10.1126/science.7455683 · Cited by 18,497
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1956) · Psychological Review · doi:10.1037/h0043158 · Cited by 17,812
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1994) · Psychological Review · doi:10.1037/0033-295x.101.2.343 · Cited by 17,559
Neural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
Fodor, J. A. (1983) · doi:10.7551/mitpress/4737.001.0001 · Cited by 7,734
Rizzolatti, G., & Craighero, L. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.27.070203.144230 · Cited by 7,433
Separate visual pathways for perception and action
Goodale, M. A., & Milner, A. D. (1992) · Trends in Neurosciences · doi:10.1016/0166-2236(92)90344-8 · Cited by 6,519
The information capacity of the human motor system in controlling the amplitude of movement.
Fitts, P. M. (1954) · Journal of Experimental Psychology · doi:10.1037/h0055392 · Cited by 6,466
Research works printed but not linked: 8
- Andersen RA, 2003, Adv. Neurol., 93, 159
- 10.1037/0096-1523.11.5.529 · DOI
- Ewert J-P, 1997, TINS, 20, 332
- Kan JY, 2009, Progr. No. 285.12 2009 Neuroscience Meeting Planner
- Marr DC., 1982, Vision
- Merleau-Ponty M, 1945, Phénoménologie de la Perception
- Shafir E, 1995, Thinking: An Invitation to Cognitive Science, 77
- Tinbergen N, 1950, Symp. Soc. Exp. Biol., 4, 305
Cited by
Sorted by citations
Items 101–200 of 1,000
(2018) · UCL Discovery (University College London) · Cited by 145
The whole prefrontal cortex is premotor cortex
Fine, J. M., & Hayden, B. Y. (2021) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2020.0524 · Cited by 151
Dopaminergic modulation of striatal neurons, circuits, and assemblies
Surmeier, D. J., Carrillo‐Reid, L., & Bargas, J. (2011) · Neuroscience · doi:10.1016/j.neuroscience.2011.08.051 · Cited by 141
The macaque lateral grasping network: A neural substrate for generating purposeful hand actions
Borra, E., Gerbella, M., Rozzi, S., & Luppino, G. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.01.017 · Cited by 149
Recurrent Independent MechanismsPreprint
Goyal, A., Lamb, A., Hoffmann, J., Sodhani, S., Levine, S., Bengio, Y., & Schölkopf, B. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1909.10893 · Cited by 245
Cerebellar Neurodynamics Predict Decision Timing and Outcome on the Single-Trial Level
Lin, Q., Manley, J., Helmreich, M., Schlumm, F., Li, J. M., Robson, D. N., Engert, F., Schier, A., Nöbauer, T., & Vaziri, A. (2020) · Cell · doi:10.1016/j.cell.2019.12.018 · Cited by 122
A cognitive framework for explaining serial processing and sequence execution strategies
Verwey, W. B., Shea, C. H., & Wright, D. L. (2014) · Psychonomic Bulletin & Review · doi:10.3758/s13423-014-0773-4 · Cited by 147
Ecological-Enactive Cognition as engaging with a field of relevant affordances
Rietveld, E., Denys, D. A. J. P., & van Westen, M. (2018) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780198735410.013.3 · Cited by 142
Should I stay or should I go? Conceptual underpinnings of goal-directed actions
Mirabella, G. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00206 · Cited by 148
Information flow dynamics in the brain
Rabinovich, M. I., Afraimovich, V., Bick, C., & Varona, P. (2011) · Physics of Life Reviews · doi:10.1016/j.plrev.2011.11.002 · Cited by 139
The role of attention in motor control and learning
Song, J. (2019) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2019.08.002 · Cited by 145
Neural dynamics and circuit mechanisms of decision-making
Wang, X. (2012) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.08.006 · Cited by 140
How the motor system integrates with working memory
Marvel, C. L., Morgan, O. P., & Kronemer, S. I. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.04.017 · Cited by 142
Chong, I., & Proctor, R. W. (2019) · Perspectives on Psychological Science · doi:10.1177/1745691619868207 · Cited by 162
Wu, W. (2023) · doi:10.1093/oso/9780192866899.001.0001 · Cited by 134
The Mental Affordance Hypothesis
McClelland, T. (2019) · Mind · doi:10.1093/mind/fzz036 · Cited by 128
Griffiths, K. R., Morris, R. W., & Balleine, B. W. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00101 · Cited by 118
Klein-Flügge, M. C., & Bestmann, S. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0270-12.2012 · Cited by 122
The Treachery of Images: How Realism Influences Brain and Behavior
Snow, J. C., & Culham, J. C. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.02.008 · Cited by 130
Calcium signaling in Parkinson’s disease
Calí, T., Ottolini, D., & Brini, M. (2014) · Cell and Tissue Research · doi:10.1007/s00441-014-1866-0 · Cited by 124
Spatiotemporal brain mapping during preparation, perception, and action
Russo, F. D., Lucci, G., Sulpizio, V., Berchicci, M., Spinelli, D., Pitzalis, S., & Galati, G. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.11.036 · Cited by 120
Preparatory activity and the expansive null-space
Churchland, M. M., & Shenoy, K. V. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00796-z · Cited by 135
The Neuroanatomical Organization of the Basal Ganglia
Gerfen, C. R., & Bolam, J. P. (2010) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-374767-9.00001-9 · Cited by 119
Précis ofAfter Phrenology: Neural Reuse and the Interactive Brain
Anderson, M. L. (2015) · Behavioral and Brain Sciences · doi:10.1017/s0140525x15000631 · Cited by 131
Decision-Making From the Animal Perspective: Bridging Ecology and Subjective Cognition
Budaev, S. V., Jørgensen, C., Mangel, M., Eliassen, S., & Giske, J. (2019) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2019.00164 · Cited by 130
Representational geometry of perceptual decisions in the monkey parietal cortex
Okazawa, G., Hatch, C. E., Mancoo, A., Machens, C. K., & Kiani, R. (2021) · Cell · doi:10.1016/j.cell.2021.05.022 · Cited by 115
The timing of the cognitive cycle
Madl, T., Baars, B. J., & Franklin, S. (2011) · PLoS ONE · doi:10.1371/journal.pone.0014803 · Cited by 116
Filimon, F., Philiastides, M. G., Nelson, J. D., Kloosterman, N. A., & Heekeren, H. R. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2334-12.2013 · Cited by 119
Mixed feelings: the case of ambivalence
Schneider, I. K., & Schwarz, N. (2017) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2017.05.012 · Cited by 129
Koziol, L. F., Budding, D. E., & Chidekel, D. (2011) · The Cerebellum · doi:10.1007/s12311-011-0288-8 · Cited by 125
From Movement to Thought: The Development of Executive Function
Koziol, L. F., & Lutz, J. T. (2013) · Applied Neuropsychology Child · doi:10.1080/21622965.2013.748386 · Cited by 128
Happily entangled: prediction, emotion, and the embodied mind
Miller, M., & Clark, A. (2018) · Synthese · doi:10.1007/s11229-017-1399-7 · Cited by 114
Generalization of prior information for rapid Bayesian time estimation
Roach, N. W., McGraw, P. V., Whitaker, D., & Heron, J. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1610706114 · Cited by 108
Economic Choice as an Untangling of Options into Actions
Yoo, S. B. M., & Hayden, B. Y. (2018) · Neuron · doi:10.1016/j.neuron.2018.06.038 · Cited by 110
Why neuroscience does not disprove free will.
Brass, M., Furstenberg, A., & Mele, A. (2019) · Neuroscience and Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.04.024 · Cited by 56
The role of a midbrain network in competitive stimulus selection
Mysore, S. P., & Knudsen, E. I. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.05.024 · Cited by 106
Hettinga, F. J., Konings, M. J., & Pepping, G. (2017) · Frontiers in Physiology · doi:10.3389/fphys.2017.00118 · Cited by 110
Stavisky, S. D., Kao, J. C., Ryu, S. I., & Shenoy, K. V. (2017) · Neuron · doi:10.1016/j.neuron.2017.05.023 · Cited by 113
Cromwell, H. C., & Panksepp, J. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.02.008 · Cited by 116
Models, movements, and minds: bridging the gap between decision making and action
Wispinski, N. J., Gallivan, J. P., & Chapman, C. S. (2018) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13973 · Cited by 112
Active inference as a theory of sentient behavior
Pezzulo, G., Parr, T., & Friston, K. (2024) · Biological Psychology · doi:10.1016/j.biopsycho.2023.108741 · Cited by 109
Interoception as modeling, allostasis as control
Sennesh, E., Theriault, J., Brooks, D., van de Meent, J.-W., Barrett, L. F., & Quigley, K. S. (2022) · Biological Psychology · doi:10.1016/j.biopsycho.2021.108242 · Cited by 107
Rapid prediction of biomechanical costs during action decisions
Cos, I., Duqué, J., & Cisek, P. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00147.2014 · Cited by 108
Self-citationEvolution of behavioural control from chordates to primates
Cisek, P. (2022) · Philosophical Transactions of the Royal Society B · doi:10.1098/rstb.2020.0522 · Cited by 107
Self-citationCognitive control, motivation and fatigue: A cognitive neuroscience perspective
Kok, A. (2022) · Brain and Cognition · doi:10.1016/j.bandc.2022.105880 · Cited by 128
Distributed task-specific processing of somatosensory feedback for voluntary motor control
Omrani, M., Murnaghan, C. D., Pruszynski, J. A., & Scott, S. H. (2016) · eLife · doi:10.7554/elife.13141 · Cited by 107
Distinct mechanisms mediate speed-accuracy adjustments in cortico-subthalamic networks
Herz, D. M., Tan, H., Brittain, J., Fischer, P., Cheeran, B., Green, A. L., FitzGerald, J. J., Aziz, T. Z., Ashkan, K., Little, S. J., et al. (2017) · eLife · doi:10.7554/elife.21481 · Cited by 102
Motor planning brings human primary somatosensory cortex into action-specific preparatory states
Ariani, G., Pruszynski, J. A., & Diedrichsen, J. (2022) · eLife · doi:10.7554/elife.69517 · Cited by 106
Katsuki, F. (2012) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2012.00017 · Cited by 107
Caligiore, D., Arbib, M. A., Miall, R. C., & Baldassarre, G. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.02.008 · Cited by 110
VanSwearingen, J. M., & Studenski, S. A. (2014) · The Journals of Gerontology Series A · doi:10.1093/gerona/glu153 · Cited by 104
A speech planning network for interactive language use
Castellucci, G. A., Kovach, C. K., Howard, M. A., Greenlee, J. D. W., & Long, M. A. (2022) · Nature · doi:10.1038/s41586-021-04270-z · Cited by 106
Gallivan, J. P., & Chapman, C. S. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00215 · Cited by 370
Brain–computer interfaces for dissecting cognitive processes underlying sensorimotor control
Golub, M. D., Chase, S. M., Batista, A. P., & Yu, B. M. (2016) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2015.12.005 · Cited by 102
Thibault, D., Loustalot, F., Fortin, G. M., Bourque, M.-J., & Trudeau, L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0067219 · Cited by 98
A distributed network critical for selecting among tool-directed actions
Watson, C. E., & Buxbaum, L. J. (2015) · Cortex · doi:10.1016/j.cortex.2015.01.007 · Cited by 103
Attention for action in visual working memory
Olivers, C. N. L., & Roelfsema, P. R. (2020) · Cortex · doi:10.1016/j.cortex.2020.07.011 · Cited by 105
Jun, E. J., Bautista, A. R., Nunez, M. D., Allen, D. C., Tak, J. H., Alvarez, E. T., & Basso, M. A. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00878-6 · Cited by 96
Ramsey, R., Hansen, P., Apperly, I. A., & Samson, D. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00345 · Cited by 97
Laminar differences in decision-related neural activity in dorsal premotor cortex
Chandrasekaran, C., Peixoto, D., Newsome, W. T., & Shenoy, K. V. (2017) · Nature Communications · doi:10.1038/s41467-017-00715-0 · Cited by 98
Yoo, S. B. M., Hayden, B. Y., & Pearson, J. M. (2021) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0664 · Cited by 101
Rostral premotor cortex as a gateway between motor and cognitive networks
Hanakawa, T. (2011) · Neuroscience Research · doi:10.1016/j.neures.2011.02.010 · Cited by 104
Different Representations of Potential and Selected Motor Plans by Distinct Parietal Areas
Cui, H., & Andersen, R. A. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.6247-10.2011 · Cited by 106
Salinas, E., & Stanford, T. R. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3977-12.2013 · Cited by 103
Buxbaum, L. J. (2017) · Psychological Review · doi:10.1037/rev0000051 · Cited by 101
Organization and evolution of parieto-frontal processing streams in macaque monkeys and humans
Caminiti, R., Innocenti, G. M., & Battaglia‐Mayer, A. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.06.014 · Cited by 97
Tarhan, L., Watson, C. E., & Buxbaum, L. J. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00876 · Cited by 98
The relationship between habits and motor skills in humans
Du, Y., Krakauer, J. W., & Haith, A. M. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.02.002 · Cited by 101
Supplementary Eye Field Encodes Option and Action Value for Saccades With Variable Reward
So, N., & Stuphorn, V. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00430.2010 · Cited by 96
Beyond simple laboratory studies: Developing sophisticated models to study rich behavior
Maselli, A., Gordon, J. R., Eluchans, M., Lancia, G. L., Thiery, T., Moretti, R., Cisek, P., & Pezzulo, G. (2023) · Physics of Life Reviews · doi:10.1016/j.plrev.2023.07.006 · Cited by 101
Self-citationThe path of ambivalence: tracing the pull of opposing evaluations using mouse trajectories
Schneider, I. K., van Harreveld, F., Rotteveel, M., Topolinski, S., van der Pligt, J., Schwarz, N., & Koole, S. L. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00996 · Cited by 94
On the functions, mechanisms, and malfunctions of intracortical contextual modulation
Phillips, W. A., Clark, A., & Silverstein, S. M. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.02.010 · Cited by 94
Coallier, É., Michelet, T., & Kalaska, J. F. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00166.2014 · Cited by 88
Self-citationAdaptive circuit dynamics across human cortex during evidence accumulation in changing environments
Murphy, P. R., Wilming, N., Hernandez-Bocanegra, D. C., Prat-Ortega, G., & Donner, T. H. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00839-z · Cited by 105
Redish, A. D., & Mizumori, S. J. Y. (2014) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2014.08.014 · Cited by 102
The Positive Consequences of Pain: A Biopsychosocial Approach
Bastian, B., Jetten, J., Hornsey, M. J., & Leknes, S. (2014) · Personality and Social Psychology Review · doi:10.1177/1088868314527831 · Cited by 91
Eaves, D. L., Behmer, L. P., & Vogt, S. (2016) · Brain and Cognition · doi:10.1016/j.bandc.2016.04.013 · Cited by 92
Unfolding Visual Lexical Decision in Time
Barca, L., & Pezzulo, G. (2012) · PLoS ONE · doi:10.1371/journal.pone.0035932 · Cited by 90
Limb apraxia and the left parietal lobe
Buxbaum, L. J., & Randerath, J. (2018) · Handbook of clinical neurology · doi:10.1016/b978-0-444-63622-5.00017-6 · Cited by 95
Caligiore, D., Pezzulo, G., Miall, R. C., & Baldassarre, G. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.07.016 · Cited by 87
Dudman, J. T., & Gerfen, C. R. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-374245-2.00017-6 · Cited by 92
Imitation in Autism Spectrum Disorders
Vivanti, G., & Hamilton, A. F. D. C. (2014) · Wiley eBooks · doi:10.1002/9781118911389.hautc12 · Cited by 92
From sound to shape: Auditory perception of drawing movements.
Thoret, E., Aramaki, M., Kronland-Martinet, R., Velay, J., & Ystad, S. (2014) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0035441 · Cited by 87
Graspable Objects Grab Attention More Than Images Do
Gómez, M. A., Skiba, R. M., & Snow, J. C. (2017) · Psychological Science · doi:10.1177/0956797617730599 · Cited by 97
Mindful movement and skilled attention
Clark, D., Schumann, F., & Mostofsky, S. H. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00297 · Cited by 102
Sources of Embodied Creativity: Interactivity and Ideation in Contact Improvisation
Kimmel, M., Hristova, D., & Kussmaul, K. (2018) · Behavioral Sciences · doi:10.3390/bs8060052 · Cited by 86
Cortical beta power reflects decision dynamics and uncovers multiple facets of post-error adaptation
Fischer, A., Nigbur, R., Klein, T., Danielmeier, C., & Ullsperger, M. (2018) · Nature Communications · doi:10.1038/s41467-018-07456-8 · Cited by 65
The Urge to Decide and Act: Implications for Brain Function and Dysfunction
Carland, M. A., Thura, D., & Cisek, P. (2019) · The Neuroscientist · doi:10.1177/1073858419841553 · Cited by 84
Self-citationThe road towards understanding embodied decisions
Gordon, J. R., Maselli, A., Lancia, G. L., Thiery, T., Cisek, P., & Pezzulo, G. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.09.034 · Cited by 102
Self-citationInfluence of Reward on Corticospinal Excitability during Movement Preparation
Klein, P.-A., Olivier, E., & Duqué, J. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.1701-12.2012 · Cited by 82
Top-down suppression of incompatible motor activations during response selection under conflict
Klein, P.-A., Petitjean, C., Olivier, E., & Duque, J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.005 · Cited by 85
Powell, N. J., & Redish, A. D. (2016) · Nature Communications · doi:10.1038/ncomms12830 · Cited by 91
Economic choice: the foraging perspective
Hayden, B. Y. (2017) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2017.12.002 · Cited by 88
The Extended Mind: State of the Question
Gallagher, S. (2018) · The Southern Journal of Philosophy · doi:10.1111/sjp.12308 · Cited by 90
State estimation in posterior parietal cortex: Distinct poles of environmental and bodily states
Medendorp, W. P., & Heed, T. (2019) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2019.101691 · Cited by 89
Action plan co-optimization reveals the parallel encoding of competing reach movements
Gallivan, J. P., Barton, K. S., Chapman, C. S., Wolpert, D. M., & Flanagan, J. R. (2015) · Nature Communications · doi:10.1038/ncomms8428 · Cited by 87
The Challenge of Understanding the Brain: Where We Stand in 2015
Lisman, J. E. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.032 · Cited by 92
Motor cortex activity predicts response alternation during sensorimotor decisions
Pape, A.-A., & Siegel, M. (2016) · Nature Communications · doi:10.1038/ncomms13098 · Cited by 86
Decoding Internally and Externally Driven Movement Plans
Ariani, G., Wurm, M. F., & Lingnau, A. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0596-15.2015 · Cited by 86
Output Planning at the Input Stage: Action Imprinting for Future Memory-Guided Behaviour
Boettcher, S., Gresch, D., Nobre, A. C., & van Ede, F. (2020) · Science Advances · doi:10.1126/sciadv.abe8212 · Cited by 90
Metadata
- Authors
- Cisek, P., & Kalaska, J. F.
- Affiliations
- Université de Montréal (CA)
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 2010-06-01
- Volume
- 33
- Issue
- 1
- Pages
- 269-298
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- OpenAlex
- W2118125647
- Cited by
- 1,543
- References
- 212
- Citations by year
- 2026: 98 · 2025: 109 · 2024: 97 · 2023: 105 · 2022: 114 · 2021: 109 · 2020: 139 · 2019: 96 · 2018: 92 · 2017: 81 · 2016: 101 · 2015: 108 · 2014: 103 · 2013: 77 · 2012: 59
- FWCI
- 4.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Canadian Institutes of Health Research
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- neural mechanisms of behavior, ethology, interactive behavior, action selection, parallel computing, neurophysiology, cortical and subcortical regions, animal behavior
- MeSH terms
- Animals, Behavior, Cognition, Decision Making, Humans, Movement, Neural Pathways, Neurons, Psychomotor Performance
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