Search results for "Receptive field"

showing 10 items of 20 documents

On localization of moving objects in the visual system of cats.

1980

In cortical areas direction-specific receptive fields occur systematically. Direction specifity is based on unsymmetric coupling of neurons. Such a coupling allows an exact localization of moved stimuli. For this task, the asymmetry in the time domain is compensated for by a spatial asymmetry.

Cerebral CortexQuantitative Biology::Neurons and CognitionGeneral Computer Sciencebusiness.industrymedia_common.quotation_subjectModels NeurologicalMotion PerceptionAsymmetryCoupling (electronics)Receptive fieldSpace PerceptionTime PerceptionCatsVisual PerceptionAnimalsComputer visionTime domainArtificial intelligenceNerve NetbusinessBiotechnologyMathematicsmedia_commonBiological cybernetics
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Withdrawal reflex organisation to electrical stimulation of the dorsal foot in humans.

2001

The present study investigated excitatory reflex receptive fields for various muscle reflex responses and reflex mediated ankle joint movements using randomised electrical stimulation of the dorsal and plantar surface of the foot in 12 healthy subjects. Eleven electrodes (0.5-cm2 cathodes) were mounted on the dorsal side and three on the plantar side of the foot. A low (1.5 times pain threshold) and a high (2.3 times pain threshold) stimulus intensity were used to elicit the reflexes. EMG signals were recorded from tibialis anterior (TA), gastrocnemius medialis (GM), soleus (SO), biceps femoris (BF), and rectus femoris (RF) muscles together with the ankle movement measured by a goniometer. …

AdultMaleHeelMovementWithdrawal reflexPainElectromyographyBicepsThreshold of painReflexReaction TimeMedicineHumansMuscle SkeletalSkinmedicine.diagnostic_testbusiness.industryElectromyographyFootGeneral NeuroscienceNociceptorsAnatomyMiddle AgedElectric Stimulationmedicine.anatomical_structureReceptive fieldReflexFemaleAnkleTibial NervebusinessAnkle JointExperimental brain research
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An overall description of retinotopic mapping in the cat's visual cortex areas 17, 18, and 19.

1985

Mathematical functions are derived which model the retinotopic mapping in the cat's visual cortical areas 17, 18, and 19. All three mappings are simple modifications of a complex power function with an exponent of 0.43. This function is decomposed so as to give an intermediate stage which is common to all three mappings and can be regarded as a model of the lateral geniculate nucleus mapping. The influence of retinotopic mapping on visual receptive fields was studied. The results show that a dependence of the receptive field properties on the position in the visual field is to be expected.

General Computer ScienceModels NeurologicalVisual systemLateral geniculate nucleusRetinaPosition (vector)medicineAnimalsVisual CortexOrientation columnbusiness.industryPattern recognitionFunction (mathematics)Visual fieldVisual cortexmedicine.anatomical_structureReceptive fieldCatsVisual PerceptionArtificial intelligenceVisual FieldsbusinessPsychologyNeuroscienceMathematicsSoftwareBiotechnologyBiological cybernetics
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Sensitivity of a sensory process to short time delays: A study in pattern induced flicker colors (PIFCs)

1978

Pattern induced flicker colors (PIFCs) were generated by means of a modified version of Benham's top, the stimulus pattern of which could be varied continuously during stimulation by the human subjects. The sensitivity of the color sensation to small phase shifts between the periodic stimuli on neighboring retinal areas was recorded under several conditions of stimulus parameters. A mathematical model was developed to describe the influence of the stimulus parameters on the recorded sensory effect. Concerning the underlying neurophysiological processes, a hypothesis is advanced according to which the phase sensitive lateral interaction within the retina changes the spatial excitation distri…

Retinagenetic structuresGeneral Computer ScienceFlickerModels NeurologicalColorSensory systemStimulus (physiology)Sensory ProcessRetinal ganglionmedicine.anatomical_structureReceptive fieldSensationmedicineHumansPsychologyNeuroscienceVision OcularBiotechnologyBiological Cybernetics
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Are simple striate cells analysers of visual signals both in spatial position as well as in spatial frequency?

1984

According to a modern view, simple cells of the cat striate cortex are considered to operate as apart of Fourier analysis system thus leading to the idea that the operational mechanism of the visual cortex is concerned with the analysis of spatial frequencies. Nevertheless if simple cells are really concerned only with the analysis of spatial frequencies there should exist a strict relationship between their spatial frequency selectivity and the spatial organization of their receptive fields. This is because it is the spatial organization of the spatial frequency detector i.e. the cell's receptive field that determines the cell's spatial frequency selectivity. Since the quantitative analysi…

Computer scienceMotion PerceptionDermatologySimple cellsymbols.namesakePsychophysicsmedicineAnimalsBinocular neuronsSpatial organizationVisual CortexFourier AnalysisGeneral NeuroscienceNeural AnalyzersDetectorGeneral MedicinePsychiatry and Mental healthVisual cortexmedicine.anatomical_structureFourier analysisReceptive fieldSpace PerceptionCatssymbolsNeurology (clinical)Spatial frequencyVisual FieldsBiological systemNeuroscienceThe Italian Journal of Neurological Sciences
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Mechanism underlying the inhibitory sidebands in the receptive field of simple striate cells of the cat: pure on/off antagonism only or true inhibiti…

1985

The intrinsic organization of the receptive fields of simple striate cells revealed by moving stimuli is much more complex than could have been suspected from the use of stationary ones. There is, in fact, a small excitatory region centrally located in these receptive fields and an inhibitory region encompassing the whole excitatory component. These inhibitory regions or “inhibitory sidebands”, were identified by stimulating the cells with bars of light against anartificial background discharge produced by repeated asynchronous stimulation of the excitatory component of the cell's receptive field. For a long time' these inhibitory sidebands have been accounted for on the basis of the recept…

NeuronsChemistryGeneral NeuroscienceNeural InhibitionStimulationDermatologyGeneral MedicineInhibitory postsynaptic potentialPsychiatry and Mental healthReceptive fieldCatsExcitatory postsynaptic potentialAnimalsNeurology (clinical)Striate cortexAntagonismNeurosciencePhotic StimulationVisual CortexThe Italian Journal of Neurological Sciences
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Matrix Shuffle- Exchange Networks for Hard 2D Tasks

2021

Convolutional neural networks have become the main tools for processing two-dimensional data. They work well for images, yet convolutions have a limited receptive field that prevents its applications to more complex 2D tasks. We propose a new neural model, called Matrix Shuffle-Exchange network, that can efficiently exploit long-range dependencies in 2D data and has comparable speed to a convolutional neural network. It is derived from Neural Shuffle-Exchange network and has O(log N) layers and O(N ^ 2 log N) total time and O(N^2) space complexity for processing a NxN data matrix. We show that the Matrix Shuffle-Exchange network is well-suited for algorithmic and logical reasoning tasks on …

Matrix (mathematics)Dependency (UML)ExploitComputer scienceReceptive fieldBinary logarithmConvolutional neural networkAlgorithmData matrix (multivariate statistics)Data modeling2021 International Joint Conference on Neural Networks (IJCNN)
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The physiological basis for the computation of direction selectivity in theDrosophilaOFF pathway

2021

AbstractInDrosophila, direction-selective neurons implement a mechanism of motion computation similar to cortical neurons, using contrast-opponent receptive fields with ON and OFF subunits. It is not clear how the presynaptic circuitry of direction-selective neurons in the OFF pathway supports this computation, because all major inputs are OFF-rectified neurons. Here, we reveal the biological substrate for motion computation in the OFF pathway. Three interneurons, Tm2, Tm9 and CT1, also provide information about ON stimuli to the OFF direction-selective neuron T5 across its receptive field, supporting a contrast-opponent receptive field organization. Consistent with its prominent role in mo…

Physicsmedicine.anatomical_structureBasis (linear algebra)Off pathwayReceptive fieldComputationmedicineMotion detectionCortical neuronsNeuronNeuroscienceMotion computation
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Spatial discrimination thresholds for pain and touch in human hairy skin

2001

The traditional concept that pain is poorly localized has been challenged by recent studies, where subjects were able to point to the stimulated spot on the skin with an accuracy of 10-20 mm. Pointing movements themselves, however, have errors of about 15 mm. To determine the limits of sensory performance of the nociceptive system independent of motor performance, point localization of heat pain (540 mJ punctate laser stimuli, 5 mm diameter), mechanical pain (256 mN punctate probe, 200 microm diameter), and touch (16 mN von Frey probe, 1.1 mm diameter) were tested in a two-alternative forced-choice paradigm in 12 healthy subjects. Stimuli were applied in randomized order to two parallel lin…

AdultMalePain Thresholdmedicine.medical_specialtyHot TemperatureSpatial discriminationSensory systemParallelAngioplasty LaserDiscrimination PsychologicalPhysical StimulationmedicineNoxious stimulusHumansSkinPhysicsHairy skinMiddle AgedHandSurgeryAnesthesiology and Pain MedicineNociceptionNeurologyTouchReceptive fieldVon freyFemaleNeurology (clinical)HairBiomedical engineeringPain
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Frequency spike encoding using Gabor-like receptive fields

2014

Abstract Spiking Neural Networks (SNN) are a popular field of study. For a proper development of SNN algorithms and applications, special encoding methods are required. Signal encoding is the first step since signals need to be converted into spike trains as the primary input to an SNN. We present an efficient frequency encoding system using receptive fields. The proposed encoding is versatile and it can provide simple image transforms like edge detection, spot detection or removal, or Gabor-like filtering. The proposed encoding can be used in many application areas as image processing and signal processing for detection and classification.

Spiking neural networkSignal processingReceptive fieldbusiness.industryComputer scienceEncoding (memory)Spike (software development)Image processingComputer visionArtificial intelligencebusinessEdge detectionField (computer science)IFAC Proceedings Volumes
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