Responses of single neurons in posterior field of cat auditory cortex to tonal stimulation. Phillips, D. & Orman, S. J Neurophysiol, 51(1):147-63, 1984. as cited by i̧teNPHeil1998abstract bibtex In the auditory cortex of barbiturate-anesthetized cats, the posterior auditory field (field P) was identified by its tonotopic organization, and single neurons in that field were studied quantitatively for their sensitivity to the frequency and intensity of tonal stimuli presented via calibrated, sealed stimulating systems. Field P neurons had narrow, V-shaped, threshold frequency tuning curves. At suprathreshold levels, spike counts were generally greatest at frequencies at or close to the neuron's threshold best frequency (BF). Eighty-six percent of posterior-field neurons displayed spike counts that were a nonmonotonic function of the intensity of a BF tone. Of these, over 90% showed at least a 50% reduction in spike count at high stimulus levels, and almost 20% of nonmonotonic cells ceased responding entirely at high stimulus intensities. The nonmonotonic shape of spike count-versus-intensity profiles was typically preserved across the range of frequencies to which any given neuron was responsive. For some neurons, this had the consequence of generating a completely circumscribed frequency-intensity response area. That is, these neurons responded to a tonal stimulus only if the stimulus was within a restricted range of both frequency and intensity. These response areas showed internal organizations that appeared to reflect one or both of two processes. For some neurons, the optimal sound pressure level for spike counts varied with tone frequency, roughly paralleling the threshold tuning curve. For other neurons, the optimal sound pressure level tended to be constant across frequency despite threshold variations of up to 20 dB. The minimum response latencies of posterior-field neurons were generally in the range of 20-50 ms, while cells in the primary auditory cortex (AI) in the same animals generally had minimum latent periods of less than 20 ms. Comparison of these data with those previously presented for neurons in two other cortical auditory fields suggests that the cat's auditory cortex might show an interfield segregation of neurons according to their coding properties.
@Article{Phillips1984,
author = {DP Phillips and SS Orman},
journal = {J Neurophysiol},
title = {Responses of single neurons in posterior field of cat auditory cortex to tonal stimulation.},
year = {1984},
note = {as cited by \citeNP{Heil1998}},
number = {1},
pages = {147-63},
volume = {51},
abstract = {In the auditory cortex of barbiturate-anesthetized cats, the posterior
auditory field (field P) was identified by its tonotopic organization,
and single neurons in that field were studied quantitatively for
their sensitivity to the frequency and intensity of tonal stimuli
presented via calibrated, sealed stimulating systems. Field P neurons
had narrow, V-shaped, threshold frequency tuning curves. At suprathreshold
levels, spike counts were generally greatest at frequencies at or
close to the neuron's threshold best frequency (BF). Eighty-six percent
of posterior-field neurons displayed spike counts that were a nonmonotonic
function of the intensity of a BF tone. Of these, over 90\% showed
at least a 50\% reduction in spike count at high stimulus levels,
and almost 20\% of nonmonotonic cells ceased responding entirely
at high stimulus intensities. The nonmonotonic shape of spike count-versus-intensity
profiles was typically preserved across the range of frequencies
to which any given neuron was responsive. For some neurons, this
had the consequence of generating a completely circumscribed frequency-intensity
response area. That is, these neurons responded to a tonal stimulus
only if the stimulus was within a restricted range of both frequency
and intensity. These response areas showed internal organizations
that appeared to reflect one or both of two processes. For some neurons,
the optimal sound pressure level for spike counts varied with tone
frequency, roughly paralleling the threshold tuning curve. For other
neurons, the optimal sound pressure level tended to be constant across
frequency despite threshold variations of up to 20 dB. The minimum
response latencies of posterior-field neurons were generally in the
range of 20-50 ms, while cells in the primary auditory cortex (AI)
in the same animals generally had minimum latent periods of less
than 20 ms. Comparison of these data with those previously presented
for neurons in two other cortical auditory fields suggests that the
cat's auditory cortex might show an interfield segregation of neurons
according to their coding properties.},
keywords = {Computing Methodologies, Human, Language, Learning, Mental Processes, Models, Theoretical, Stochastic Processes, Support, U.S. Gov't, Non-P.H.S., Cognition, Linguistics, Neural Networks (Computer), Practice (Psychology), Non-U.S. Gov't, Memory, Psychological, Task Performance and Analysis, Time Factors, Visual Perception, Adult, Attention, Discrimination Learning, Female, Male, Short-Term, Mental Recall, Orientation, Pattern Recognition, Visual, Perceptual Masking, Reading, Concept Formation, Form Perception, Animals, Corpus Striatum, Shrews, P.H.S., Visual Cortex, Visual Pathways, Acoustic Stimulation, Auditory Cortex, Auditory Perception, Cochlea, Ear, Gerbillinae, Glycine, Hearing, Neurons, Space Perception, Strychnine, Adolescent, Decision Making, Reaction Time, Astrocytoma, Brain Mapping, Brain Neoplasms, Cerebral Cortex, Electric Stimulation, Electrophysiology, Epilepsy, Temporal Lobe, Evoked Potentials, Frontal Lobe, Noise, Parietal Lobe, Scalp, Child, Language Development, Psycholinguistics, Brain, Perception, Speech, Vocalization, Animal, Discrimination (Psychology), Hippocampus, Rats, Calcium, Chelating Agents, Excitatory Postsynaptic Potentials, Glutamic Acid, Guanosine Diphosphate, In Vitro, Neuronal Plasticity, Pyramidal Cells, Receptors, AMPA, Metabotropic Glutamate, N-Methyl-D-Aspartate, Somatosensory Cortex, Synapses, Synaptic Transmission, Thionucleotides, Action Potentials, Calcium Channels, L-Type, Electric Conductivity, Entorhinal Cortex, Neurological, Long-Evans, Infant, Mathematics, Statistics, Probability Learning, Problem Solving, Psychophysics, Association Learning, Child Psychology, Habituation (Psychophysiology), Probability Theory, Analysis of Variance, Semantics, Symbolism, Behavior, Eye Movements, Macaca mulatta, Prefrontal Cortex, Cats, Dogs, Haplorhini, Photic Stimulation, Electroencephalography, Nervous System Physiology, Darkness, Grasshoppers, Light, Membrane Potentials, Neural Inhibition, Afferent, Picrotoxin, Vision, Deoxyglucose, Injections, Microspheres, Neural Pathways, Rhodamines, Choice Behavior, Speech Perception, Verbal Learning, Dominance, Cerebral, Fixation, Ocular, Language Tests, Random Allocation, Comparative Study, Saguinus, Sound Spectrography, Species Specificity, Audiometry, Auditory Threshold, Calibration, Data Interpretation, Statistical, Anesthesia, General, Electrodes, Implanted, Pitch Perception, Sound Localization, Paired-Associate Learning, Serial Learning, Auditory, Age Factors, Motion Perception, Brain Injuries, Computer Simulation, Blindness, Psychomotor Performance, Color Perception, Signal Detection (Psychology), Judgment, ROC Curve, Regression Analysis, Music, Probability, Arm, Cerebrovascular Disorders, Hemiplegia, Movement, Muscle, Skeletal, Myoclonus, Robotics, Magnetoencephalography, Phonetics, Software, Speech Production Measurement, Epilepsies, Partial, Laterality, Stereotaxic Techniques, Germany, Speech Acoustics, Verbal Behavior, Child Development, Instinct, Brain Stem, Coma, Diagnosis, Differential, Hearing Disorders, Hearing Loss, Central, Neuroma, Acoustic, Dendrites, Down-Regulation, Patch-Clamp Techniques, Wistar, Up-Regulation, Aged, Aphasia, Middle Aged, Cones (Retina), Primates, Retina, Retinal Ganglion Cells, Tympanic Membrane, Cell Communication, Extremities, Biological, Motor Activity, Rana catesbeiana, Spinal Cord, Central Nervous System, Motion, Motor Cortex, Intelligence, Macaca fascicularis, Adoption, Critical Period (Psychology), France, Korea, Magnetic Resonance Imaging, Multilingualism, Auditory Pathways, Cochlear Nerve, Loudness Perception, 6693932},
}
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{"_id":"5c6WQgseG9EnNot3Z","bibbaseid":"phillips-orman-responsesofsingleneuronsinposteriorfieldofcatauditorycortextotonalstimulation-1984","author_short":["Phillips, D.","Orman, S."],"bibdata":{"bibtype":"article","type":"article","author":[{"firstnames":["DP"],"propositions":[],"lastnames":["Phillips"],"suffixes":[]},{"firstnames":["SS"],"propositions":[],"lastnames":["Orman"],"suffixes":[]}],"journal":"J Neurophysiol","title":"Responses of single neurons in posterior field of cat auditory cortex to tonal stimulation.","year":"1984","note":"as cited by i̧teNPHeil1998","number":"1","pages":"147-63","volume":"51","abstract":"In the auditory cortex of barbiturate-anesthetized cats, the posterior auditory field (field P) was identified by its tonotopic organization, and single neurons in that field were studied quantitatively for their sensitivity to the frequency and intensity of tonal stimuli presented via calibrated, sealed stimulating systems. Field P neurons had narrow, V-shaped, threshold frequency tuning curves. At suprathreshold levels, spike counts were generally greatest at frequencies at or close to the neuron's threshold best frequency (BF). Eighty-six percent of posterior-field neurons displayed spike counts that were a nonmonotonic function of the intensity of a BF tone. Of these, over 90% showed at least a 50% reduction in spike count at high stimulus levels, and almost 20% of nonmonotonic cells ceased responding entirely at high stimulus intensities. The nonmonotonic shape of spike count-versus-intensity profiles was typically preserved across the range of frequencies to which any given neuron was responsive. For some neurons, this had the consequence of generating a completely circumscribed frequency-intensity response area. That is, these neurons responded to a tonal stimulus only if the stimulus was within a restricted range of both frequency and intensity. These response areas showed internal organizations that appeared to reflect one or both of two processes. For some neurons, the optimal sound pressure level for spike counts varied with tone frequency, roughly paralleling the threshold tuning curve. For other neurons, the optimal sound pressure level tended to be constant across frequency despite threshold variations of up to 20 dB. The minimum response latencies of posterior-field neurons were generally in the range of 20-50 ms, while cells in the primary auditory cortex (AI) in the same animals generally had minimum latent periods of less than 20 ms. Comparison of these data with those previously presented for neurons in two other cortical auditory fields suggests that the cat's auditory cortex might show an interfield segregation of neurons according to their coding properties.","keywords":"Computing Methodologies, Human, Language, Learning, Mental Processes, Models, Theoretical, Stochastic Processes, Support, U.S. Gov't, Non-P.H.S., Cognition, Linguistics, Neural Networks (Computer), Practice (Psychology), Non-U.S. Gov't, Memory, Psychological, Task Performance and Analysis, Time Factors, Visual Perception, Adult, Attention, Discrimination Learning, Female, Male, Short-Term, Mental Recall, Orientation, Pattern Recognition, Visual, Perceptual Masking, Reading, Concept Formation, Form Perception, Animals, Corpus Striatum, Shrews, P.H.S., Visual Cortex, Visual Pathways, Acoustic Stimulation, Auditory Cortex, Auditory Perception, Cochlea, Ear, Gerbillinae, Glycine, Hearing, Neurons, Space Perception, Strychnine, Adolescent, Decision Making, Reaction Time, Astrocytoma, Brain Mapping, Brain Neoplasms, Cerebral Cortex, Electric Stimulation, Electrophysiology, Epilepsy, Temporal Lobe, Evoked Potentials, Frontal Lobe, Noise, Parietal Lobe, Scalp, Child, Language Development, Psycholinguistics, Brain, Perception, Speech, Vocalization, Animal, Discrimination (Psychology), Hippocampus, Rats, Calcium, Chelating Agents, Excitatory Postsynaptic Potentials, Glutamic Acid, Guanosine Diphosphate, In Vitro, Neuronal Plasticity, Pyramidal Cells, Receptors, AMPA, Metabotropic Glutamate, N-Methyl-D-Aspartate, Somatosensory Cortex, Synapses, Synaptic Transmission, Thionucleotides, Action Potentials, Calcium Channels, L-Type, Electric Conductivity, Entorhinal Cortex, Neurological, Long-Evans, Infant, Mathematics, Statistics, Probability Learning, Problem Solving, Psychophysics, Association Learning, Child Psychology, Habituation (Psychophysiology), Probability Theory, Analysis of Variance, Semantics, Symbolism, Behavior, Eye Movements, Macaca mulatta, Prefrontal Cortex, Cats, Dogs, Haplorhini, Photic Stimulation, Electroencephalography, Nervous System Physiology, Darkness, Grasshoppers, Light, Membrane Potentials, Neural Inhibition, Afferent, Picrotoxin, Vision, Deoxyglucose, Injections, Microspheres, Neural Pathways, Rhodamines, Choice Behavior, Speech Perception, Verbal Learning, Dominance, Cerebral, Fixation, Ocular, Language Tests, Random Allocation, Comparative Study, Saguinus, Sound Spectrography, Species Specificity, Audiometry, Auditory Threshold, Calibration, Data Interpretation, Statistical, Anesthesia, General, Electrodes, Implanted, Pitch Perception, Sound Localization, Paired-Associate Learning, Serial Learning, Auditory, Age Factors, Motion Perception, Brain Injuries, Computer Simulation, Blindness, Psychomotor Performance, Color Perception, Signal Detection (Psychology), Judgment, ROC Curve, Regression Analysis, Music, Probability, Arm, Cerebrovascular Disorders, Hemiplegia, Movement, Muscle, Skeletal, Myoclonus, Robotics, Magnetoencephalography, Phonetics, Software, Speech Production Measurement, Epilepsies, Partial, Laterality, Stereotaxic Techniques, Germany, Speech Acoustics, Verbal Behavior, Child Development, Instinct, Brain Stem, Coma, Diagnosis, Differential, Hearing Disorders, Hearing Loss, Central, Neuroma, Acoustic, Dendrites, Down-Regulation, Patch-Clamp Techniques, Wistar, Up-Regulation, Aged, Aphasia, Middle Aged, Cones (Retina), Primates, Retina, Retinal Ganglion Cells, Tympanic Membrane, Cell Communication, Extremities, Biological, Motor Activity, Rana catesbeiana, Spinal Cord, Central Nervous System, Motion, Motor Cortex, Intelligence, Macaca fascicularis, Adoption, Critical Period (Psychology), France, Korea, Magnetic Resonance Imaging, Multilingualism, Auditory Pathways, Cochlear Nerve, Loudness Perception, 6693932","bibtex":"@Article{Phillips1984,\n author = {DP Phillips and SS Orman},\n journal = {J Neurophysiol},\n title = {Responses of single neurons in posterior field of cat auditory cortex to tonal stimulation.},\n year = {1984},\n note = {as cited by \\citeNP{Heil1998}},\n number = {1},\n pages = {147-63},\n volume = {51},\n abstract = {In the auditory cortex of barbiturate-anesthetized cats, the posterior\n\tauditory field (field P) was identified by its tonotopic organization,\n\tand single neurons in that field were studied quantitatively for\n\ttheir sensitivity to the frequency and intensity of tonal stimuli\n\tpresented via calibrated, sealed stimulating systems. Field P neurons\n\thad narrow, V-shaped, threshold frequency tuning curves. At suprathreshold\n\tlevels, spike counts were generally greatest at frequencies at or\n\tclose to the neuron's threshold best frequency (BF). Eighty-six percent\n\tof posterior-field neurons displayed spike counts that were a nonmonotonic\n\tfunction of the intensity of a BF tone. Of these, over 90\\% showed\n\tat least a 50\\% reduction in spike count at high stimulus levels,\n\tand almost 20\\% of nonmonotonic cells ceased responding entirely\n\tat high stimulus intensities. The nonmonotonic shape of spike count-versus-intensity\n\tprofiles was typically preserved across the range of frequencies\n\tto which any given neuron was responsive. For some neurons, this\n\thad the consequence of generating a completely circumscribed frequency-intensity\n\tresponse area. That is, these neurons responded to a tonal stimulus\n\tonly if the stimulus was within a restricted range of both frequency\n\tand intensity. These response areas showed internal organizations\n\tthat appeared to reflect one or both of two processes. For some neurons,\n\tthe optimal sound pressure level for spike counts varied with tone\n\tfrequency, roughly paralleling the threshold tuning curve. For other\n\tneurons, the optimal sound pressure level tended to be constant across\n\tfrequency despite threshold variations of up to 20 dB. The minimum\n\tresponse latencies of posterior-field neurons were generally in the\n\trange of 20-50 ms, while cells in the primary auditory cortex (AI)\n\tin the same animals generally had minimum latent periods of less\n\tthan 20 ms. Comparison of these data with those previously presented\n\tfor neurons in two other cortical auditory fields suggests that the\n\tcat's auditory cortex might show an interfield segregation of neurons\n\taccording to their coding properties.},\n keywords = {Computing Methodologies, Human, Language, Learning, Mental Processes, Models, Theoretical, Stochastic Processes, Support, U.S. Gov't, Non-P.H.S., Cognition, Linguistics, Neural Networks (Computer), Practice (Psychology), Non-U.S. Gov't, Memory, Psychological, Task Performance and Analysis, Time Factors, Visual Perception, Adult, Attention, Discrimination Learning, Female, Male, Short-Term, Mental Recall, Orientation, Pattern Recognition, Visual, Perceptual Masking, Reading, Concept Formation, Form Perception, Animals, Corpus Striatum, Shrews, P.H.S., Visual Cortex, Visual Pathways, Acoustic Stimulation, Auditory Cortex, Auditory Perception, Cochlea, Ear, Gerbillinae, Glycine, Hearing, Neurons, Space Perception, Strychnine, 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