Selective attention from voluntary control of neurons in prefrontal cortex
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The activity of neurons with both visual and motor properties in the frontal eye field can be controlled voluntarily.
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Preliminary evidence in macaques shows that behavioral therapy using neurofeedback can modify cortical circuits and improve behavior.
“Preliminary evidence in macaques shows that behavioral therapy using neurofeedback can modify cortical circuits and improve behavior [82].”
From Linking ADHD to the Neural Circuitry of Attention (2017) · cites this paper as [82]
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“Attention therefore, may, be driven both by a fast, hard-wired system as well as by a sophisticated top-down filtering mechanism supported by predictions.”
BackgroundNeural mechanisms of selective visual attention.
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“These research lines continue into the present time (Jackson et al., 2006; Moritz et al., 2008; Schafer and Moore, 2011).”
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“A number of neurofeedback experiments in animals (Sterman et al. , 1970; Schafer and Moore, 2011), and humans (Watanabe et al. , 2017; Young et al. , 2017 b ) further support this view.”
Neural Mechanisms of Speed-Accuracy Tradeoff
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Real-time fMRI and its application to neurofeedback
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“It was demonstrated that selected portions of evoked responses (Fox and Rudell, 1968) and cortical unit activity (Fetz, 1969b; Schafer and Moore, 2011) can be specifically modified by operant conditioning.”
BackgroundPrefrontal contributions to visual selective attention
Squire, R. F., Noudoost, B., Schafer, R. J., & Moore, T. (2013) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150439 · Cited by 260 · see citing works
“Adapted from Schafer & Moore (2011). however, show that changes in endogenously generated neuronal activity in the absence of an explicit task are sufficient to bring about that deployment.”
BackgroundInfluentialSelf-citationNeurofeedback and Basic Learning Theory: Implications for Research and Practice
Sherlin, L. H., Arns, M., Lubar, J., Heinrich, H., Kerson, C., Strehl, U., & Sterman, M. B. (2011) · Journal of Neurotherapy · doi:10.1080/10874208.2011.623089 · Cited by 248 · see citing works
“Recently, it was also demonstrated in a monkey that voluntarily modulated neural activity could indeed produce specific changes in cognitive function (Schafer & Moore, 2011) suggesting a generalization from trained EEG parameters to behavior.”
BackgroundCell-Type-Specific Synchronization of Neural Activity in FEF with V4 during Attention
Gregoriou, G. G., Gotts, S. J., & Desimone, R. (2012) · Neuron · doi:10.1016/j.neuron.2011.12.019 · Cited by 229 · see citing works
“In line with these ideas, a recent study showed that voluntary control of FEF neuronal responses leading to increased activity results in selective visual attention and not oculomotor preparation (Schafer and Moore, 2011).”
Optimizing real time fMRI neurofeedback for therapeutic discovery and development
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“Interestingly, increases in FEF activity that are endogenously generated (through operant conditioning) result in spatially specific perceptual benefits similar to the behavioral effects of attention (Schafer and Moore, 2011).”
BackgroundLinking ADHD to the Neural Circuitry of Attention
Mueller, A., Hong, D. S., Shepard, S., & Moore, T. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.03.009 · Cited by 158 · see citing works
Self-citationAlpha Synchrony and the Neurofeedback Control of Spatial Attention
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Beta band oscillations in motor cortex reflect neural population signals that delay movement onset
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“Sequential neurofeedback-behavior task designs have been used previously with a variety of neural recording modalities, neural signal features, and behaviors (Gevensleben et al., 2009; McFarland et al., 2015; Schafer and Moore, 2011; Subramanian et al., 2011).”
BackgroundSaccadic eye movements evoked by optogenetic activation of primate V1
Jazayeri, M., Lindbloom-Brown, Z., & Horwitz, G. D. (2012) · Nature Neuroscience · doi:10.1038/nn.3210 · Cited by 156 · see citing works
“Indeed, the effectiveness of near–threshold signals in both sensory and motor areas in driving behavior is thought to depend on further cortical processing 11, 12 .”
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“Such an approach is supported by animal studies: for example, prefrontal cortex neurons can be controlled by rhesus monkeys through an OC paradigm (Schafer & Moore, 2011).”
What learning theories can teach us in designing neurofeedback treatments
Strehl, U. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00894 · Cited by 137 · see citing works
Neural oscillations: beta band activity across motor networks
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Improving Visual Perception through Neurofeedback
Scharnowski, F., Hutton, C., Josephs, O., Weiskopf, N., & Rees, G. E. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.6334-11.2012 · Cited by 137 · see citing works
“It allowed us to induce changes in brain activity locally and without drugs, in keeping with recent invasive neurofeedback studies in nonhuman primates (Schafer and Moore, 2011).”
ResultA computational cognition model of perception, memory, and judgment
Fu, X., Cai, L., Liu, Y., Jia, J., Chen, W., Zhang, Y., Zhao, G., Liu, Y., & Wu, C. (2014) · Science China Information Sciences · doi:10.1007/s11432-013-4911-9 · Cited by 127 · see citing works
Brain-Machine Interfaces beyond Neuroprosthetics
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“The recent resurgence of neurofeedback (Schafer and Moore, 2011) has also been supported by the development of fMRI-based protocols, which provide unprecedented spatial”
BackgroundDecoding and perturbing decision states in real time
Peixoto, D., Verhein, J. R., Kiani, R., Kao, J. C., Nuyujukian, P., Chandrasekaran, C., Brown, J., Fong, S., Ryu, S. I., Shenoy, K. V., et al. (2021) · Nature · doi:10.1038/s41586-020-03181-9 · Cited by 120 · see citing works
Neurofeedback: One of today's techniques in psychiatry?
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“Furthermore, activation (Moore and Fallah, 2004; Schafer and Moore, 2011) or inactivation (Monosov and Thompson, 2009; Noudoost and Moore, 2011) of prefrontal neurons increases or decreases, respectively, the modulation of single-neuron activity in visual cortices.”
Selective Modulation of the Pupil Light Reflex by Microstimulation of Prefrontal Cortex
Ebitz, R. B., & Moore, T. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2433-16.2017 · Cited by 112 · see citing works
“Evidence from previous FEF stimulation studies, combined with electrophysiological studies (Thompson et al., 2005; Schafer and Moore, 2011) and lesion or inactivation studies (Latto and Cowey, 1971; Monosov et al., 2011; Gregoriou et al., 2014), appear to establish a key role of FEF neurons in the…”
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Neurofeedback in children with ADHD: validation and challenges
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“More recently, studies have demonstrated the importance of operant conditioning for studying the neural substrates of cognitive processes, including spatial [31 ] and object-based [38] attention, that are involved in sensorimotor control.”
BackgroundMethodFunctional networks of the brain: from connectivity restoration to dynamic integration
Hramov, A. E., Frolov, N. S., Maksimenko, V. A., Kurkin, S., Kazantsev, V., & Pisarchik, A. N. (2020) · Physics-Uspekhi · doi:10.3367/ufne.2020.06.038807 · Cited by 96 · see citing works
Volitional Control of Neural Activity Relies on the Natural Motor Repertoire
Hwang, E. J., Bailey, P. M., & Andersen, R. A. (2013) · Current Biology · doi:10.1016/j.cub.2013.01.027 · Cited by 91 · see citing works
“When a monkey volitionally controlled the activity of a FEF neuron, the increased activity shifted the spatial attention of the monkey (intrinsic variable of FEF neurons) to the response field of the neuron, indicating that the monkey learned to produce reward-associated activity by directing spatial attention to spec…”
How feedback, motor imagery, and reward influence brain self‐regulation using real‐time fMRI
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“, 2013] since the early reports of brain signal control in non-human animals [Carmena et al., 2003; Fetz, 1969; Fetz and Finocchio, 1971; Koralek et al., 2012; Philippens and Vanwersch, 2010; Schafer and Moore, 2011; Shinkman et al., 1974; Sterman et al., 1969].”
BackgroundSubcortical connections of area V4 in the macaque
Gattass, R., Galkin, T. W., Desimone, R., & Ungerleider, L. G. (2013) · The Journal of Comparative Neurology · doi:10.1002/cne.23513 · Cited by 83 · see citing works
Distinct prefrontal top-down circuits differentially modulate sensorimotor behavior
Huda, R., Sipe, G. O., Breton‐Provencher, V., Cruz, K. G., Pho, G. N., Adam, E. M., Gunter, L. M., Sullins, A., Wickersham, I. R., & Sur, M. (2020) · Nature Communications · doi:10.1038/s41467-020-19772-z · Cited by 83 · see citing works
Good-enough attentional guidance
Yu, X., Zhou, Z., Becker, S. I., Boettcher, S., & Geng, J. J. (2023) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2023.01.007 · Cited by 83 · see citing works
Brain-Machine Interfaces: Powerful Tools for Clinical Treatment and Neuroscientific Investigations
Slutzky, M. W. (2018) · The Neuroscientist · doi:10.1177/1073858418775355 · Cited by 84 · see citing works
“Finally, the use of biofeedback BMIs have been shown to increase visual attention (in frontal eye fields; Schafer and Moore 2011) and visual perception (Shibata and others 2011).”
MethodDecoding Local Field Potentials for Neural Interfaces
Andrew, J. O., & Hall, T. M. (2016) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2016.2612001 · Cited by 77 · see citing works
“Given appropriate feedback, monkeys and humans can learn to increase or decrease the firing rate of individual neurons in a variety of brain areas [58]–[61].”
BackgroundTaş, A. Ç., Luck, S. J., & Hollingworth, A. (2016) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/xhp0000212 · Cited by 74 · see citing works
“…target location, behavioral (Hunt & Kingstone, 2003; Klein, 1980; Klein & Pontefract, 1994) and neurophysiological evidence (Juan, Shorter-Jacobi, & Schall, 2004; Schafer & Moore, 2011; Thompson, Biscoe, & Sato, 2005) suggests that it is possible to attend covertly without preparing a saccade.”
BackgroundGoing beyond primary motor cortex to improve brain–computer interfaces
Gallego, J. Á., Makin, T. R., & McDougle, S. D. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2021.12.006 · Cited by 70 · see citing works
“…[57,58], a potential avenue for improvement involves better estimation of the nonmotor signals by recording from upstream areas such as PPC and PFC [30,59,60], as well as S1 [12], and ‘ subtracting ’ those signals from M1 activity to obtain a cleaner estimate of motor commands (Figure 3).”
BackgroundÄstrand, E., Wardak, C., & Hamed, S. B. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00144 · Cited by 65 · see citing works
Costello, M. G., Zhu, D., Salinas, E., & Stanford, T. R. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.1899-13.2013 · Cited by 60 · see citing works
“…Hanes and Schall, 1996; Schall, 2002) and in two related perceptual processes, (1) the orienting of visuospatial attention (Thompson et al., 2005; Schafer and Moore, 2007, 2011; Monosov et al., 2008, 2010; Monosov and Thompson, 2009; Zhou and Thompson, 2009; Zhou and Desimone, 2011; Gregoriou et…”
BackgroundVisual attention: Linking prefrontal sources to neuronal and behavioral correlates
Clark, K., Squire, R. F., Merrikhi, Y., & Noudoost, B. (2015) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2015.06.006 · Cited by 64 · see citing works
“Schafer and Moore (2011) used operant training techniques to assess the effect of voluntary changes in FEF activity on visually guided behavior (Schafer and Moore, 2011).”
Volitional Modulation of Primary Visual Cortex Activity Requires the Basal Ganglia
Neely, R., Koralek, A. C., Athalye, V. R., Costa, R. M., & Carmena, J. M. (2018) · Neuron · doi:10.1016/j.neuron.2018.01.051 · Cited by 62 · see citing works
“Taken along with a body of previous work describing brain-machine interface learning in other diverse cortical areas (Carmena et al., 2003; Cerf et al., 2010; Clancy et al., 2014; Fetz, 2007; Musallam et al., 2004; Prsa et al., 2017; Schafer and Moore, 2011; Shibata et al., 2011), these results suggest that this type…”
Operant Conditioning of Synaptic and Spiking Activity Patterns in Single Hippocampal Neurons
Ishikawa, D., Matsumoto, N., Sakaguchi, T., Matsuki, N., & Ikegaya, Y. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.5298-13.2014 · Cited by 55 · see citing works
“…correlated with some feature in the real world, including behavior, cognition, attention, and extrinsic rewards such as food or money (Basmajian, 1963; Fetz, 1969; Fetz and Finocchio, 1975; Fetz, 2007; Cerf et al., 2010; Kobayashi et al., 2010; Schafer and Moore, 2011; Sakurai and Takahashi, 2013).”
BackgroundEnhancing Hebbian Learning to Control Brain Oscillatory Activity
Soekadar, S. R., Witkowski, M., Birbaumer, N., & Cohen, L. G. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu043 · Cited by 57 · see citing works
“…control of brain oscillatory activity (Koralek et al. 2012) present with successful performance of motor and cognitive functions like attention (Schafer and Moore 2011), gating of sensory information (Klimesch et al. 2007), movement planning (Joundi et al. 2012), speech (Saarinen et al. 2006),…”
Gevensleben, H., Moll, G. H., Rothenberger, A., & Heinrich, H. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00846 · Cited by 57 · see citing works
“On the other hand, the finding of Schafer and Moore (2011) obtained in monkeys who gained voluntary control over the activity of neurons within the frontal eye field indicates the necessity of an explicit transfer to take place since, after training, selective attention correlated only with…”
BackgroundThe interdependence of attention, working memory and gaze control: behavior and neural circuitry
Jonikaitis, D., & Moore, T. (2019) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2019.01.012 · Cited by 53 · see citing works
Self-citationDynamic Integration of Task-Relevant Visual Features in Posterior Parietal Cortex
Ibos, G., & Freedman, D. J. (2014) · Neuron · doi:10.1016/j.neuron.2014.08.020 · Cited by 54 · see citing works
“…raised the possibility that the PFC could play a leading role in the voluntary control of both spatial (Armstrong et al., 2009; Ibos et al., 2013; Schafer and Moore, 2011) and feature-based (Zhou and Desimone, 2011) attention as it exerts top-down control on both visual and parietal cortices…”
Robineau, F., Rieger, S. W., Mermoud, C., Pichon, S., Koush, Y., Ville, D. V. D., Vuilleumier, P. O., & Scharnowski, F. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.072 · Cited by 54 · see citing works
“These frontal areas overlap with areas that have been shown to be implicated in top-down control of early visual areas (Moore and Armstrong, 2003; Ruff et al., 2006; Ruff et al., 2009; Schafer and Moore, 2011), suggesting that asymmetric increases in frontal cortex activity may have contributed to more efficient contr…”
Background(De)coupling of our eyes and our mind’s eye: A dynamic process perspective on attentional bias.
Amir, I., Zvielli, A., & Bernstein, A. (2016) · Emotion · doi:10.1037/emo0000172 · Cited by 51 · see citing works
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Optimizing Real Time fMRI Neurofeedback for Therapeutic Discovery and DevelopmentPreprint
Stoeckel, L. E., Garrison, K. A., Ghosh, S., Wighton, P., Hanlon, C. A., Gilman, J. M., Greer, S. M., Turk-Browne, N. B., deBettencourt, M. T., Scheinost, D., et al. (2014) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/003400 · Cited by 55 · see citing works
Hung, J., Driver, J., & Walsh, V. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2626-11.2011 · Cited by 51 · see citing works
“Recently, Schafer and Moore (2011) further demonstrated in monkeys that voluntary control of FEF activity can alter spatial selection; while Zhou and Desimone (2011) documented a role for monkey FEF in nonspatial aspects of attention.”
BackgroundDecoding Cognitive Processes from Neural Ensembles
Wallis, J. D. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.09.002 · Cited by 57 · see citing works
Interaction between Spatial and Feature Attention in Posterior Parietal Cortex
Ibos, G., & Freedman, D. J. (2016) · Neuron · doi:10.1016/j.neuron.2016.07.025 · Cited by 48 · see citing works
“For example, both electrical and pharmacological manipulation of FEF have been shown to produce attention-like modulation of activity in V4 (Armstrong andMoore, 2007; Noudoost and Moore, 2011; Schafer and Moore, 2011).”
The Fallacy of Sham-Controlled Neurofeedback Trials: A Reply to Thibault and Colleagues (2018)
Pigott, H. E., Cannon, R. L., & Trullinger, M. (2018) · Journal of Attention Disorders · doi:10.1177/1087054718790802 · Cited by 48 · see citing works
“…has a 75+ year history of scientific inquiry documenting operant conditioning of the EEG in cats (e.g., Wyrwicka & Sterman, 1968), primates (e.g., Schafer & Moore, 2011), and people (e.g., Jasper & Shagass, 1941), including a 40-year history of research treating ADHD children (Lubar & Shouse,…”
BackgroundKerson, C., & The Collaborative Neurofeedback Group (2013) · Journal of Attention Disorders · doi:10.1177/1087054713482580 · Cited by 43 · see citing works
“…of not only cortical EEG (reviewed in Sherlin et al., 2011) but also more focal neuronal activity, such as in monkey frontal eye fields (Schafer & Moore, 2011), marmoset intracortical sensorimotor rhythm (SMR; Philippens & Vanwersch, 2010), human medial temporal cortex (Cerf et al.,…”
BackgroundFunctional Categories of Visuomotor Neurons in Macaque Frontal Eye Field
Lowe, K. A., & Schall, J. D. (2018) · eNeuro · doi:10.1523/eneuro.0131-18.2018 · Cited by 41 · see citing works
“…Gold, 2012), visual attention (Bichot et al., 1996; Bichot and Schall, 2002; Gregoriou et al., 2009; Khayat et al., 2009; Zhou and Desimone, 2011; Schafer and Moore 2011; Noudoost et al., 2014; Thiele et al., 2016), visual working memory (Clark et al., 2012; Reinhart et al., 2012), transsaccadic…”
BackgroundYttri, E. A., Liu, Y., & Snyder, L. H. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1220508110 · Cited by 42 · see citing works
Khanna, P., Swann, N. C., de Hemptinne, C., Miocinovic, S., Miller, A. M., Starr, P. A., & Carmena, J. M. (2016) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2016.2597243 · Cited by 38 · see citing works
“2597243 single neurons [1]–[4], on the mesoscale using brain area-”
MethodMorphological and Functional Differences between Athletes and Novices in Cortical Neuronal Networks
Tan, X., Pi, Y., Wang, J., Li, X., Zhang, L., Dai, W., Zhu, H., Ni, Z., Zhang, J., & Wu, Y. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00660 · Cited by 38 · see citing works
“This is different from our recent transcranial magnetic stimulation study in badminton players whose motor cortical excitation and inhibition are correlated to training years (Dai et al., 2016).”
Kim, J., Wasserman, E. A., Castro, L., & Freeman, J. H. (2015) · Behavioral Neuroscience · doi:10.1037/bne0000117 · Cited by 37 · see citing works
Spike Timing in the Attention Network Predicts Behavioral Outcome Prior to Target Selection
Fiebelkorn, I. C., & Kästner, S. (2020) · Neuron · doi:10.1016/j.neuron.2020.09.039 · Cited by 35 · see citing works
Persistent Spatial Information in the Frontal Eye Field during Object-Based Short-Term Memory
Clark, K., Noudoost, B., & Moore, T. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.1450-12.2012 · Cited by 33 · see citing works
“The FEF has also been implicated both in mediating the behavioral benefits of attention (Moore and Fallah, 2001; Monosov and Thompson, 2009; Schafer and Moore, 2011) and in modulating activity in visual cortex (Moore, 2006; Ekstrom et al., 2009; Noudoost and Moore, 2011).”
Self-citationEye Tracking in Visual Search Experiments
Hollingworth, A., & Bahle, B. (2019) · Neuromethods · doi:10.1007/7657_2019_30 · Cited by 33 · see citing works
Distributed functions of prefrontal and parietal cortices during sequential categorical decisions
Zhou, Y., Rosen, M. C., Swaminathan, S. K., Masse, N. Y., Zhu, O., & Freedman, D. J. (2021) · eLife · doi:10.7554/elife.58782 · Cited by 34 · see citing works
Sensory processing: who's in (top‐down) control?
Ruff, C. C. (2013) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12204 · Cited by 30 · see citing works
A neural network for online spike classification that improves decoding accuracy
Issar, D., Williamson, R. C., Khanna, S. B., & Smith, M. A. (2020) · Journal of Neurophysiology · doi:10.1152/jn.00641.2019 · Cited by 30 · see citing works
Neuromodulation of Cancer Pain
Prinsloo, S., Gabel, S., Lyle, R. R., & Cohen, L. G. (2013) · Integrative Cancer Therapies · doi:10.1177/1534735413477193 · Cited by 30 · see citing works
Monosov, I. E., Sheinberg, D. L., & Thompson, K. G. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2995-11.2011 · Cited by 29 · see citing works
“FEF plays a role in spatial selection of behaviorally relevant locations for shifts of gaze (Schiller and Chou, 1998; Schall and Thompson, 1999) and willful shifts of spatial attention (Awh et al., 2006; Monosov and Thompson, 2009; Schafer and Moore, 2011).”
Mang, J., Xu, Z., Qi, Y., & Zhang, T. (2023) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2023.1271967 · Cited by 29 · see citing works
“The self-regulation of neural activity through neurofeedback training has been found in rodents, nonhuman primates and humans (Schafer and Moore, 2011; Collinger et al., 2013; Clancy et al., 2014).”
BackgroundFisher, B. M., Saksida, L. M., Robbins, T. W., & Bussey, T. J. (2019) · Behavioral Neuroscience · doi:10.1037/bne0000338 · Cited by 29 · see citing works
Dissociating oculomotor contributions to spatial and feature-based selection
Jonikaitis, D., & Theeuwes, J. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00275.2013 · Cited by 31 · see citing works
Understanding the mechanisms underlying voluntary responses to pitch-shifted auditory feedback
Patel, S. A., Nishimura, C., Lodhavia, A., Korzyukov, O. A., Parkinson, A. L., Robin, D. A., & Larson, C. R. (2014) · The Journal of the Acoustical Society of America · doi:10.1121/1.4870490 · Cited by 28 · see citing works
“In the oculomotor system, it is well known that prosaccadic eye movements (in the same direction of stimulus similar to the following responses) are about 200 ms faster than antisaccades, which are in the opposite direction (similar to the opposing responses) (Seidlits et al., 2003).”
BackgroundHira, R., Ohkubo, F., Masamizu, Y., Ohkura, M., Nakai, J., Okada, T., & Matsuzaki, M. (2014) · Nature Communications · doi:10.1038/ncomms6551 · Cited by 29 · see citing works
Lee, J., & Geng, J. J. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1407-16.2016 · Cited by 26 · see citing works
“This conclusion is consistent with the biased competition model of attention (Desimone and Duncan, 1995) in which the contents of the target template held in working memory is the source of the attentional bias instantiated within sensory cortex (Peelen et al., 2009; Schafer and Moore, 2011).”
ResultBrain–Computer Interfaces and Neurofeedback for Enhancing Human Performance
Sitaram, R., Sánchez‐Corzo, A., Zurita, M., Levicán, C., Huepe-Artigas, D., Mucarquer, J. A., & Ramírez, M. R. (2019) · Oxford University Press eBooks · doi:10.1093/oso/9780190455132.003.0006 · Cited by 27 · see citing works
Working memory gates visual input to primate prefrontal neurons
Noudoost, B., Clark, K., & Moore, T. (2021) · eLife · doi:10.7554/elife.64814 · Cited by 24 · see citing works
“We considered that the larger motor signals among visuo-recipient neurons could have resulted from differences in the alignment of the cue stimulus with the centers of FEF visual and movement fields, as they can be significantly misaligned (Bruce and Goldberg, 1985; Schafer and Moore, 2011).”
BackgroundSelf-citationTakagi, Y., Hunt, L. T., Woolrich, M. W., Behrens, T. E. J., & Klein-Flügge, M. C. (2021) · eLife · doi:10.7554/elife.60988 · Cited by 19 · see citing works
Is Science Compatible with Free Will?
Suárez, A., & Adams, P. J. (2012) · Springer eBooks · doi:10.1007/978-1-4614-5212-6 · Cited by 46 · see citing works
Real-Time Decoding of Attentional States Using Closed-Loop EEG Neurofeedback
Tuckute, G., Hansen, S. T., Kjær, T. W., & Hansen, L. K. (2021) · Neural Computation · doi:10.1162/neco_a_01363 · Cited by 21 · see citing works
Farkhondeh Tale Navi, F., Heysieattalab, S., Ramanathan, D. S., Raoufy, M. R., & Nazari, M. A. (2022) · Neuroscience · doi:10.1016/j.neuroscience.2021.12.004 · Cited by 19 · see citing works
Sun, J., He, J., & Gao, X. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.08.010 · Cited by 20 · see citing works
Arduin, P.-J., Frégnac, Y., Shulz, D. E., & Ego‐Stengel, V. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00206 · Cited by 21 · see citing works
“ORIGINAL RESEARCH ARTICLE published: 25 July 2014 doi: 10.3389/fnins.2014.00206 Bidirectional control of a one-dimensional robotic actuator by operant conditioning of a single unit in rat motor cortex”
InfluentialBao, S., Liu, J., & Liu, Y. (2022) · Brain Sciences · doi:10.3390/brainsci12070852 · Cited by 19 · see citing works
“The prefrontal lobe is the area that receives and processes external information from other functional areas of the brain and then integrates brain information such as memory and intention to immediately make a rational plan [42].”
BackgroundLiu, J., Liu, Y., & Wu, L. (2024) · Scientific Reports · doi:10.1038/s41598-024-65747-1 · Cited by 17 · see citing works
Chen, Y., Zhang, D., & Jiang, D. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.01127 · Cited by 17 · see citing works
Brandes-Aitken, A. N., Anguera, J. A., Chang, Y.-S., Demopoulos, C., Owen, J. P., Gazzaley, A. H., Mukherjee, P., & Marco, E. J. (2019) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2018.00065 · Cited by 15 · see citing works
Neurofeedback Training of Gamma Oscillations in Monkey Primary Visual Cortex
Chauvière, L., & Singer, W. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz013 · Cited by 15 · see citing works
No Evidence That Frontal Eye Field tDCS Affects Latency or Accuracy of Prosaccades
Reteig, L. C., Knapen, T. H. J., Roelofs, F. J. F. W., Ridderinkhof, K. R., & Slagter, H. A. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00617 · Cited by 16 · see citing works
Tremblay, S., Pieper, F., Sachs, A. J., Joober, R., & Martínez-Trujillo, J. (2019) · eNeuro · doi:10.1523/eneuro.0371-18.2018 · Cited by 15 · see citing works
“2018 eNeuro.org Segraves, 1999; Moore and Fallah, 2004; Noudoost and Moore, 2011; Schafer and Moore, 2011; Acker et al., 2016).”
BackgroundInfluentialA Deep Neural Network-Based Spike Sorting With Improved Channel Selection and Artefact Removal
Okreghe, C., Zamani, M., & Demosthenous, A. (2023) · IEEE Access · doi:10.1109/access.2023.3242643 · Cited by 14 · see citing works
“Spike sorting is an invaluable research tool applied in brain-machine interface (BMI) research for studying and decoding neural signals arising from the implanted electrodes and understanding the mechanisms of the brain [3], [4].”
BackgroundAttention—Voluntary Control of Brain Cells
Roelfsema, P. R. (2011) · Science · doi:10.1126/science.1208564 · Cited by 14 · see citing works
Hernández-González, S., Andreu-Sánchez, C., Martín-Pascual, M. Á., Gruart, A., & Delgado-Garcia, J. M. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3651-16.2017 · Cited by 13 · see citing works
“These types of study could help identify some of the physiological processes related to the actual motor and cognitive learning tasks (O’Doherty et al., 2011; Schafer and Moore, 2011; Hiremath et al., 2015).”
BackgroundTracking momentary fluctuations in human attention with a cognitive brain-machine interface
Chinchani, A. M., Paliwal, S., Ganesh, S., Chandrashekhar, V., Yu, B. M., & Sridharan, D. (2022) · Communications Biology · doi:10.1038/s42003-022-04231-w · Cited by 11 · see citing works
The Brainarium: An Interactive Immersive Tool for Brain Education, Art, and Neurotherapy
Grandchamp, R., & Arnaud Delorme, A. (2016) · Computational Intelligence and Neuroscience · doi:10.1155/2016/4204385 · Cited by 12 · see citing works
Human feature-based attention consists of two distinct spatiotemporal processes.
Gledhill, D., Grimsen, C., Fahle, M., & Wegener, D. (2015) · Journal of Vision · doi:10.1167/15.8.8 · Cited by 12 · see citing works
Cortical Hemodynamic Response Associated with Spatial Coding: A Near-Infrared Spectroscopy Study
Derbie, A. Y., Chau, B. K. H., Lam, B. Y., Fang, Y., Ting, K. H., Wong, C. H. Y., Tao, J., Chen, L., & Chan, C. C. H. (2021) · Brain Topography · doi:10.1007/s10548-021-00821-9 · Cited by 11 · see citing works
Neurofeedback: A challenge for integrative clinical neurophysiological studies
Micoulaud‐Franchi, J., Jeunet, C., & Lotte, F. (2020) · Neurophysiologie Clinique · doi:10.1016/j.neucli.2020.01.001 · Cited by 11 · see citing works
- Authors
- Schafer, R. J., & Moore, T.
- Affiliations
- Stanford Medicine (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Moore, Tirin
- Venue
- Science
- Published
- 2011-06-24
- Volume
- 332
- Issue
- 6037
- Pages
- 1568-1571
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC3371378
- OpenAlex
- W2055642260
- Cited by
- 174
- References
- 18
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 13 · 2023: 14 · 2022: 7 · 2021: 15 · 2020: 12 · 2019: 15 · 2018: 9 · 2017: 12 · 2016: 13 · 2015: 9 · 2014: 20 · 2013: 12 · 2012: 13
- FWCI
- 8.12
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Howard Hughes Medical Institute
- National Institute of Mental Health (F31MH078490)
- National Eye Institute (EY14924, R01EY014924, R56EY014924)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- frontal eye field, prefrontal cortex, visual selective attention, top-down attention, operant conditioning, rhesus monkeys, neurofeedback, attention disorders
- MeSH terms
- Animals, Attention, Conditioning, Operant, Macaca mulatta, Male, Neurons, Saccades, Visual Perception, Prefrontal Cortex, Neurofeedback
About these checks
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