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Chinchani AM, Paliwal S, Ganesh S, Chandrasekhar V, Yu BM, Sridharan D. Tracking momentary fluctuations in human attention with a cognitive brain-machine interface. Commun Biol 2022; 5:1346. [PMID: 36481698 PMCID: PMC9732358 DOI: 10.1038/s42003-022-04231-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Accepted: 11/07/2022] [Indexed: 12/13/2022] Open
Abstract
Selective attention produces systematic effects on neural states. It is unclear whether, conversely, momentary fluctuations in neural states have behavioral significance for attention. We investigated this question in the human brain with a cognitive brain-machine interface (cBMI) for tracking electrophysiological steady-state visually evoked potentials (SSVEPs) in real-time. Discrimination accuracy (d') was significantly higher when target stimuli were triggered at high, versus low, SSVEP power states. Target and distractor SSVEP power was uncorrelated across the hemifields, and target d' was unaffected by distractor SSVEP power states. Next, we trained participants on an auditory neurofeedback paradigm to generate biased, cross-hemispheric competitive interactions between target and distractor SSVEPs. The strongest behavioral effects emerged when competitive SSVEP dynamics unfolded at a timescale corresponding to the deployment of endogenous attention. In sum, SSVEP power dynamics provide a reliable readout of attentional state, a result with critical implications for tracking and training human attention.
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Affiliation(s)
- Abhijit M. Chinchani
- grid.34980.360000 0001 0482 5067Centre for Neuroscience, Indian Institute of Science, Bangalore, KA India ,grid.17091.3e0000 0001 2288 9830Present Address: University of British Columbia, 2329 West Mall, Vancouver, BC Canada
| | - Siddharth Paliwal
- grid.34980.360000 0001 0482 5067Centre for Neuroscience, Indian Institute of Science, Bangalore, KA India ,grid.36425.360000 0001 2216 9681Present Address: Stony Brook University, 100 Nicolls Rd, Stony Brook, NY USA
| | - Suhas Ganesh
- grid.34980.360000 0001 0482 5067Centre for Neuroscience, Indian Institute of Science, Bangalore, KA India ,grid.497059.6Present Address: Verily Life Sciences, 269 E Grand Ave, South San Francisco, CA USA
| | - Vishnu Chandrasekhar
- grid.34980.360000 0001 0482 5067Centre for Neuroscience, Indian Institute of Science, Bangalore, KA India ,grid.147455.60000 0001 2097 0344Present Address: Carnegie Mellon University, 319 Morewood Avenue, Pittsburgh, PA USA
| | - Byron M. Yu
- grid.147455.60000 0001 2097 0344Department of Biomedical Engineering, and Department of Electrical & Computer Engineering, Carnegie Mellon University, Pittsburgh, PA USA
| | - Devarajan Sridharan
- grid.34980.360000 0001 0482 5067Centre for Neuroscience, Indian Institute of Science, Bangalore, KA India ,grid.34980.360000 0001 0482 5067Computer Science and Automation, Indian Institute of Science, Bangalore, KA India
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Farkhondeh Tale Navi F, Heysieattalab S, Ramanathan DS, Raoufy MR, Nazari MA. Closed-loop Modulation of the Self-regulating Brain: A Review on Approaches, Emerging Paradigms, and Experimental Designs. Neuroscience 2021; 483:104-126. [PMID: 34902494 DOI: 10.1016/j.neuroscience.2021.12.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 11/30/2021] [Accepted: 12/06/2021] [Indexed: 11/27/2022]
Abstract
Closed-loop approaches, setups, and experimental designs have been applied within the field of neuroscience to enhance the understanding of basic neurophysiology principles (closed-loop neuroscience; CLNS) and to develop improved procedures for modulating brain circuits and networks for clinical purposes (closed-loop neuromodulation; CLNM). The contents of this review are thus arranged into the following sections. First, we describe basic research findings that have been made using CLNS. Next, we provide an overview of the application, rationale, and therapeutic aspects of CLNM for clinical purposes. Finally, we summarize methodological concerns and critics in clinical practice of neurofeedback and novel applications of closed-loop perspective and techniques to improve and optimize its experiments. Moreover, we outline the theoretical explanations and experimental ideas to test animal models of neurofeedback and discuss technical issues and challenges associated with implementing closed-loop systems. We hope this review is helpful for both basic neuroscientists and clinical/ translationally-oriented scientists interested in applying closed-loop methods to improve mental health and well-being.
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Affiliation(s)
- Farhad Farkhondeh Tale Navi
- Department of Cognitive Neuroscience, Faculty of Education and Psychology, University of Tabriz, Tabriz, Iran
| | - Soomaayeh Heysieattalab
- Department of Cognitive Neuroscience, Faculty of Education and Psychology, University of Tabriz, Tabriz, Iran
| | | | - Mohammad Reza Raoufy
- Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| | - Mohammad Ali Nazari
- Department of Cognitive Neuroscience, Faculty of Education and Psychology, University of Tabriz, Tabriz, Iran; Department of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran.
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Slutzky MW. Brain-Machine Interfaces: Powerful Tools for Clinical Treatment and Neuroscientific Investigations. Neuroscientist 2019; 25:139-154. [PMID: 29772957 PMCID: PMC6611552 DOI: 10.1177/1073858418775355] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Brain-machine interfaces (BMIs) have exploded in popularity in the past decade. BMIs, also called brain-computer interfaces, provide a direct link between the brain and a computer, usually to control an external device. BMIs have a wide array of potential clinical applications, ranging from restoring communication to people unable to speak due to amyotrophic lateral sclerosis or a stroke, to restoring movement to people with paralysis from spinal cord injury or motor neuron disease, to restoring memory to people with cognitive impairment. Because BMIs are controlled directly by the activity of prespecified neurons or cortical areas, they also provide a powerful paradigm with which to investigate fundamental questions about brain physiology, including neuronal behavior, learning, and the role of oscillations. This article reviews the clinical and neuroscientific applications of BMIs, with a primary focus on motor BMIs.
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Affiliation(s)
- Marc W Slutzky
- 1 Departments of Neurology, Physiology, and Physical Medicine & Rehabilitation, Northwestern University, Chicago, IL, USA
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Sulzer J, Haller S, Scharnowski F, Weiskopf N, Birbaumer N, Blefari M, Bruehl A, Cohen L, deCharms R, Gassert R, Goebel R, Herwig U, LaConte S, Linden D, Luft A, Seifritz E, Sitaram R. Real-time fMRI neurofeedback: progress and challenges. Neuroimage 2013; 76:386-99. [PMID: 23541800 PMCID: PMC4878436 DOI: 10.1016/j.neuroimage.2013.03.033] [Citation(s) in RCA: 292] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2012] [Revised: 03/14/2013] [Accepted: 03/19/2013] [Indexed: 01/30/2023] Open
Abstract
In February of 2012, the first international conference on real time functional magnetic resonance imaging (rtfMRI) neurofeedback was held at the Swiss Federal Institute of Technology Zurich (ETHZ), Switzerland. This review summarizes progress in the field, introduces current debates, elucidates open questions, and offers viewpoints derived from the conference. The review offers perspectives on study design, scientific and clinical applications, rtfMRI learning mechanisms and future outlook.
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Affiliation(s)
- J. Sulzer
- Department of Health Sciences and Technology, Swiss Federal Institute of Technology, (ETH), Zurich CH-8092, Switzerland
| | - S. Haller
- University of Geneva, Geneva University Hospital CH-1211, Switzerland
| | - F. Scharnowski
- Department of Radiology and Medical Informatics - CIBM, University of Geneva, Switzerland
- Institute of Bioengineering, Swiss Institute of Technology Lausanne (EPFL) CH-1015, Switzerland
| | - N. Weiskopf
- Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, University College London WC1E 6BT, UK
| | - N. Birbaumer
- The Institute of Medical Psychology and Behavioral Neurobiology, University of Tuebingen 72074, Germany
- Ospedale San Camillo, IRCCS, Venice 30126, Italy
| | - M.L. Blefari
- Department of Health Sciences and Technology, Swiss Federal Institute of Technology, (ETH), Zurich CH-8092, Switzerland
| | - A.B. Bruehl
- Department of Psychiatry, Psychotherapy and Psychosomatica, Zürich University Hospital for Psychiatry, Zurich CH-8032, Switzerland
| | - L.G. Cohen
- National Institutes of Health, Bethesda 20892, USA
| | | | - R. Gassert
- Department of Health Sciences and Technology, Swiss Federal Institute of Technology, (ETH), Zurich CH-8092, Switzerland
| | - R. Goebel
- Department of Neurocognition, University of Maastricht 6200, The Netherlands
| | - U. Herwig
- Department of Psychiatry, Psychotherapy and Psychosomatica, Zürich University Hospital for Psychiatry, Zurich CH-8032, Switzerland
- Department of Psychiatry and Psychotherapy III, University of Ulm, Germany
| | - S. LaConte
- Virginia Tech Carilion Research Institute 24016, USA
| | | | - A. Luft
- Department of Neurology, University Hospital Zurich, Switzerland
- University of Zurich CH-8008, Switzerland
| | - E. Seifritz
- Department of Psychiatry, Psychotherapy and Psychosomatica, Zürich University Hospital for Psychiatry, Zurich CH-8032, Switzerland
| | - R. Sitaram
- The Institute of Medical Psychology and Behavioral Neurobiology, University of Tuebingen 72074, Germany
- Department of Biomedical Engineering, University of Florida, Gainesville 32611, USA
- Sri Chitra Tirunal Institute of Medical Science and Technology, Trivandrum, India
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Ray BA. STRATEGY IN STUDIES OF ATTENTION: A COMMENTARY ON D. I. MOSTOFSKY'S
ATTENTION: CONTEMPORARY THEORY AND ANALYSIS1. J Exp Anal Behav 2013. [DOI: 10.1901/jeab.1972.17-293] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Real-time fMRI and its application to neurofeedback. Neuroimage 2012; 62:682-92. [DOI: 10.1016/j.neuroimage.2011.10.009] [Citation(s) in RCA: 227] [Impact Index Per Article: 18.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2011] [Accepted: 10/06/2011] [Indexed: 11/20/2022] Open
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Sherlin L, Arns M, Lubar J, Sokhadze E. A Position Paper on Neurofeedback for the Treatment of ADHD. ACTA ACUST UNITED AC 2010. [DOI: 10.1080/10874201003773880] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Thatcher RW. EEG operant conditioning (biofeedback) and traumatic brain injury. CLINICAL EEG (ELECTROENCEPHALOGRAPHY) 2000; 31:38-44. [PMID: 10638351 DOI: 10.1177/155005940003100110] [Citation(s) in RCA: 48] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
A review is presented of the currently sparse literature about EEG operant conditioning or biofeedback as a treatment to reduce symptomology and patient complaints following a traumatic brain injury. The paper also evaluates the general use of quantitative EEG (QEEG) to assess traumatic brain injury and to facilitate EEG biofeedback treatment. The use of an age matched reference normative QEEG database and QEEG discriminant function are presented as a method to evaluate the nature or neurological basis of a patient's complaints as well as to individualize an efficient and optimal feedback protocol and to help evaluate the efficacy of the biofeedback therapy. Univariate and multivariate statistical issues are discussed, different classes of experimental designs are described and then a "double blind" research study is proposed in an effort to encourage future research in the area of EEG biofeedback for the treatment and rehabilitation of traumatic brain injury.
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Affiliation(s)
- R W Thatcher
- Bay Pines VA Medical Center, University of South Florida College of Medicine and Defense and Veterans Head Injury Program, Washington D.C., USA
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12
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In vitro analog of operant conditioning in aplysia. II. Modifications of the functional dynamics of an identified neuron contribute to motor pattern selection. J Neurosci 1999. [PMID: 10066277 DOI: 10.1523/jneurosci.19-06-02261.1999] [Citation(s) in RCA: 69] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Previously, an analog of operant conditioning was developed using the buccal ganglia of Aplysia, the probabilistic occurrences of a specific motor pattern (i.e., pattern I), a contingent reinforcement (i.e., stimulation of the esophageal nerve), and monotonic stimulation of a peripheral nerve (i.e., n.2,3). This analog expressed a key feature of operant conditioning (i.e., selective enhancement of the probability of occurrence of a designated motor pattern by contingent reinforcement). In addition, the training induced changes in the dynamical properties of neuron B51, an element of the buccal central pattern generator. To gain insights into the neuronal mechanisms that mediate features of operant conditioning, the present study identified a neuronal element that was critically involved in the selective enhancement of pattern I. We found that bursting activity in cell B51 contributed significantly to the expression of pattern I and that changes in the dynamical properties of this cell were associated with the selective enhancement of pattern I. These changes could be induced by an explicit association of reinforcement with random depolarization of B51. No stimulation of n.2,3 was required. These results indicate that the selection of a designated motor pattern by contingent reinforcement and the underlying neuronal plasticity resulted from the association of reinforcement with a component of central neuronal activity that contributes to a specific motor pattern. The sensory stimulus that allows for occurrences of different motor acts may not be critical for induction of plasticity that mediates the selection of a motor output by contingent reinforcement in operant conditioning.
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Rosenfeld JP. Applied psychophysiology and biofeedback of event-related potentials (brain waves): historical perspective, review, future directions. BIOFEEDBACK AND SELF-REGULATION 1990; 15:99-119. [PMID: 2205299 DOI: 10.1007/bf00999142] [Citation(s) in RCA: 19] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
This paper reviews the efforts of workers in the 1960s-1980s to demonstrate voluntary control of exogenously evoked (event-related) potentials in visual, somatic sensory, and auditory systems in rats, cats, and humans. The first part of the paper reviews the conceptual foundation and development of the work--it actually arose from traditional sensory coding and neural correlates of behavior studies. The second part summarizes recent applications of the method in the area of pain control. In reviewing these matters, the major effort is directed at revealing how the ideas unfolded in very human, day-to-day, anecdotal terms. There is not much of an attempt to formally review the literature, which is cited for consultation elsewhere. In the same spirit, many possible future experiments are suggested by way of elucidating the key remaining questions in the area.
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Affiliation(s)
- J P Rosenfeld
- Department of Psychology, Cresap Labs, Northwestern University, Evanston, Illinois 60208
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Roberts LE, Birbaumer N, Rockstroh B, Lutzenberger W, Elbert T. Self-report during feedback regulation of slow cortical potentials. Psychophysiology 1989; 26:392-403. [PMID: 2798689 DOI: 10.1111/j.1469-8986.1989.tb01941.x] [Citation(s) in RCA: 46] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Subjects received exteroceptive feedback for bidirectional changes in slow cortical potentials or alpha power measured from the vertex. The slow potential group succeeded in shifting slow potentials toward negativity and positivity on feedback and transfer trials requiring these changes, after two sessions of training. Differentiation of negativity and positivity was accompanied by verbal reports of somatomotor activation that occurred on trials on which negative slow potentials were required (p less than .01). Vertical and lateral eye movements, chin and frontalis electromyogram, and heart rate did not differentiate between negativity and positivity trials in the slow potential negativity during feedback. Although the alpha power group did not succeed at controlling changes in alpha, evidence of a training effect appeared in verbal reports of emotional arousal (p less than .05) and focused vision (p less than .08) on alpha suppression trials in this group. We discuss the findings from the viewpoint that biofeedback tasks involving electrocortical responses are problems in the organization of action that subjects seek to solve.
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Abstract
Empirical and theoretical reasons were given to investigate operant conditioning in a new, integrative approach within motor control physiology. Elements of inborn and learned behavior were presented in a framework specifying their stimuli and responses. The operant was redefined as a controlling discriminative stimulus, Sd, together with the response, R, it produces, on the basis of a previous literature of operant and instrumental research. Complex motor and neural activity were reviewed in accordance with partitioning of: responses, controlling stimulation, reinforcement, and functions of movement-produced stimulation. Schematics portrayed reinforcement principles through analysis of a fast pathway from Ia muscle spindle afferents to motor outflow. Methods were suggested to minimize operant units through selective reinforcement and establish them to defined end points of learning within composite, ongoing behavior. It was argued that operant neural mechanisms can be investigated efficiently only by starting with individual operants that are thoroughly characterized.
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Dowman R, Rosenfeld JP. Operant conditioning of somatosensory evoked potential (SEP) amplitude in rats. I. Specific changes in SEP amplitude and a naloxone-reversible somatotopically specific change in facial nociception. Brain Res 1985; 333:201-12. [PMID: 3995293 DOI: 10.1016/0006-8993(85)91573-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The aim of this experiment was to investigate possible endogenous opioid modulation of innocuous somatosensory activity. Somatosensory activity was measured by recording cortical somatosensory evoked potential (SEP) and reflex movement amplitude evoked by innocuous electrical stimulation of the spinal trigeminal tract in awake rats. Putative endogenous opioid activity was blocked using the opiate antagonist naloxone (1 mg/kg). The amplitude of midlatency SEP components (14-50 ms latency) increased following administration of naloxone and repeated stimulus presentations. The amplitude of these components decreased following administration of the opiate agonist morphine (3 mg/kg). An early cortical component (10 ms latency) habituated following the administration of saline but did not habituate following naloxone. Naloxone also enhanced habituation of the late SEP components (60-120 ms latency) and reflex movement evoked at higher stimulus intensities. Morphine decreased the amplitude of the early cortical component but had no consistent effect on the amplitude of the late SEP components.
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Finley WW. Operant conditioning of the short-latency cervical somatosensory evoked potential in quadriplegics. Exp Neurol 1983; 81:542-58. [PMID: 6884467 DOI: 10.1016/0014-4886(83)90325-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Operant conditioning of short-latency cervical somatosensory evoked potentials (CSEP) was demonstrated in five cervical cord injury subjects. Subjects were conditioned to augment the N14 potential, thought to originate from the dorsal column nucleus. Increased N14 potential was associated with an increase in N19 and P22 potentials, and either a decrease (base) or no change (train) in the brachial plexus potential. The N19 potential was correlated with significant reductions in the sensation-twitch (S/T) ratio during conditioning sessions, indexing improved sensation to low-intensity percutaneous stimulation. Moreover, S/T ratios decreased significantly during conditioning sessions, and were reduced significantly relative to initial baseline values. The results do not appear to be associated with trivial mediating influences.
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Dowman R, Rosenfeld JP, Heinricher M. Operant conditioning of trigeminally-evoked cortical potentials: correlated effects on facial nociception. Brain Res 1983; 269:111-8. [PMID: 6871694 DOI: 10.1016/0006-8993(83)90967-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
The effects of operant conditioning somatosensory evoked potential (SEP) amplitude on nociceptive sensitivity were studied in albino rats. SEPs were evoked by stimulation to the descending trigeminal tract. Rewarding medial forebrain bundle stimulation (at intensities predetermined to sustain bar pressing) was made contingent upon the animal making the amplitude of the SEP 0.5 standard deviation (S.D.) large (uptraining) or 0.5 S.D. smaller (downtraining) than the predetermined mean value. Nociceptive sensitivity was measured immediately following the conditioning session by heating the rat's face and noting the latency of a defensive face rubbing response directed at that area of the face. Increasing the amplitude of the SEP (uptraining) was associated with a decrease in noxious sensitivity. Decreasing the amplitude of the SEP (downtraining) was associated with an increase in noxious sensitivity.
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Petukhov VV, Godukhin OV, Popov LA. Effectiveness of various types of reinforcement in a controlled experiment. NEUROSCIENCE AND BEHAVIORAL PHYSIOLOGY 1982; 12:17-21. [PMID: 7177354 DOI: 10.1007/bf01186677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
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Abstract
The purpose of this study was to demonstrate operant conditioning of potentials in the rat's trigeminal complex evoked by stimulation of the primary descending trigeminal tract. The amplitude of the prominent component of the potential, with a peak at 10 to 22 msec after the stimulus, was conditioned. Reinforcement was electrical stimulation of the medial forebrain bundle. A bidirectional conditioning paradigm was used to control for noncontingent effects of the reinforcer. Eight of the thirteen animals demonstrated control of the evoked potential. Application of the neural conditioning paradigm to the investigation of loci of neuronal plasticity is discussed.
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Rudell AP, Eberle LP. Behavior related to tranined increase in visual cortex excitability. Physiol Behav 1980; 24:721-6. [PMID: 7394014 DOI: 10.1016/0031-9384(80)90403-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
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Hetzler BE, Rosenfeld JP, Birkel PA. Analysis of body movementss during operant control of centrally evoked potentials. Physiol Behav 1978; 21:1047-50. [PMID: 552069 DOI: 10.1016/0031-9384(78)90185-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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Hetzler BE, Rosenfeld JP, Birkel PA, Antoinetti DN. Characterstics of operant control of centrally evoked potentials in rats. Physiol Behav 1977; 19:527-34. [PMID: 613346 DOI: 10.1016/0031-9384(77)90229-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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Huston JP, Mueller CC, Mondadori C. Memory facilitation by posttrial hypothalamic stimulation and other reinforcers: A central theory of reinforcement. ACTA ACUST UNITED AC 1977. [DOI: 10.1016/0147-7552(77)90003-1] [Citation(s) in RCA: 82] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Rudell AP. Operant conditioning of short latency components evoked by electrical stimulation optic radiation fibers. Brain Res 1977; 123:373-7. [PMID: 843932 DOI: 10.1016/0006-8993(77)90489-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Mondadori C, Ornstein K, Waser P, Huston J. Post-trial reinforcing hypothalamic stimulation can facilitate avoidance learning. Neurosci Lett 1976; 2:183-7. [DOI: 10.1016/0304-3940(76)90012-4] [Citation(s) in RCA: 25] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/1976] [Accepted: 04/02/1976] [Indexed: 11/25/2022]
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Rosenfeld JP, Hetzler BE, Birkel PA, Kowatch RA, Antoinetti DN. Operant conditional potentials centrally evoked at random intervals. BEHAVIORAL BIOLOGY 1976; 16:305-17. [PMID: 1275852 DOI: 10.1016/s0091-6773(76)91434-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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Norman RJ, Naifeh K, Collins JP. Plasticity of visual evoked potentials in kittens demonstrated by operant conditioning. Physiol Behav 1975; 14:557-61. [PMID: 1135319 DOI: 10.1016/0031-9384(75)90181-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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Huston JP, Mondadori C, Waser PG. Facilitation of learning by reward of post-trial memory processes. ACTA ACUST UNITED AC 1974. [DOI: 10.1007/bf01938996] [Citation(s) in RCA: 40] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Shinkman PG, Bruce CJ, Pfingst BE. Operant conditioning of single-unit response patterns in visual cortex. Science 1974; 184:1194-6. [PMID: 4598035 DOI: 10.1126/science.184.4142.1194] [Citation(s) in RCA: 30] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Unit responses to photic stimuli were studied in cat visual cortex. After the baseline response pattern of a cell was determined, conditioning trials were given during which reinforcement was contingent upon increased firing during a selected segment of the poststimulus interval. Density of reinforcement increased substantially in about half the cells studied; significant increases in firing occurred within, but not outside, the criterion segment.
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Bawin SM, Gavalas-Medici RJ, Adey WR. Effects of modulated very high frequency fields on specific brain rhythms in cats. Brain Res 1973; 58:365-84. [PMID: 4756135 DOI: 10.1016/0006-8993(73)90008-5] [Citation(s) in RCA: 76] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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Rosenfeld JP, Hetzler BE. Operant-controlled evoked responses: discrimination of conditioned and normally occurring components. Science 1973; 181:767-70. [PMID: 4724935 DOI: 10.1126/science.181.4101.767] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Rats were rewarded for signaling large and small sensory evoked components with appropriate bar presses. Most rats operantly generated large components and correctly signaled only these. Two rats correctly signaled successful and unsuccessful attempts to generate large waves. One rat discriminated component amplitudes without operantly attempting to generate specific wave types.
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Black A. The Operant Conditioning of Central Nervous System Electrical Activity. PSYCHOLOGY OF LEARNING AND MOTIVATION 1972. [DOI: 10.1016/s0079-7421(08)60384-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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Delgado JM, Johnston VS, Wallace JD, Bradley RJ. Operant conditioning of amygdala spindling in the free chimpanzee. Brain Res 1970; 22:347-62. [PMID: 5505539 DOI: 10.1016/0006-8993(70)90476-2] [Citation(s) in RCA: 37] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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Abstract
Human subjects were trained by traditional methods of instrumental conditioning to change the amplitude of a late component of the auditory evoked potential with and without oscilloscopic feedback of their performance.
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