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N K Logothetis

Publications and source records attributed to N K Logothetis.

At least 19 recordsLinked to original sources
PubMed2003

Attentional enhancement opposite a peripheral flash revealed using change blindness.

We describe a new method for mapping spatial attention that reveals a pooling of attention in the hemifield opposite a peripheral flash. Our method exploits the fact that a brief full-field blank can interfere with the detection of changes in a scene that occur during the blank. Attending to the location of a change, however, can overcome this change blindness, so that changes are detected. The likelihood of detecting a new element in a scene therefore provides a measure of the occurrence of attention at that element's location. Using this measure, we mapped how attention changes in response to a task-irrelevant peripheral cue. Under conditions of visual fixation, change detection was above chance across the entire visual area tested. In addition, a "hot spot" of attention (corresponding to near-perfect change detection) elongated along the cue-fixation axis, such that performance improved not only at the cued location but also in the opposite hemifield.

Adult↗
PubMed2002

Visual categorization and object representation in monkeys and humans.

We investigated the influence of a categorization task on the extraction and representation of perceptual features in humans and monkeys. The use of parameterized stimuli (schematic faces and fish) with fixed diagnostic features in combination with a similarity-rating task allowed us to demonstrate perceptual sensitization to the diagnostic dimensions of the categorization task for the monkeys. Moreover, our results reveal important similarities between human and monkey visual subordinate categorization strategies. Neither the humans nor the monkeys compared the new stimuli to class prototypes or based their decisions on conditional probabilities along stimulus dimensions. Instead, they classified each object according to its similarity to familiar members of the alternative categories, or with respect to its position to a linear boundary between the learned categories.

Animals↗
PubMed2002

Fixational eye movements are not affected by abrupt onsets that capture attention.

Recent work shows that abrupt onsets reflexively capture attention and trigger saccades that compete with voluntary saccades. To test whether oculomotor capture occurs when no saccade is being planned, we measured fixational eye movements in the absence or presence of an abrupt onset at peripheral locations. We found no effect of abrupt onset location on the average pattern of eye movements during fixation. We conclude that the capture of eye movements by an abrupt onset only happens when the oculomotor system has been preset to make a saccade. This implies that the oculomotor system is not obligatorily driven by events in the visual array.

Adult↗
PubMed2001

Motion processing in the macaque: revisited with functional magnetic resonance imaging.

A great deal is known about the response properties of single neurons processing sensory information. In contrast, less is understood about the collective characteristics of networks of neurons that may underlie sensory capacities of animals. We used functional magnetic resonance imaging to study the emergent properties of populations of neurons processing motion across different brain areas. Using a visual adaptation paradigm, we localized a distributed network of visual areas that process information about the direction of motion as expected from single-cell recording studies. However, we found an apparent discrepancy between the directional signals in certain visual areas as measured with blood oxygenation level-dependent imaging compared with an estimate based on the spiking of single neurons. We propose a hypothesis that may account for this difference based on the postulate that neuronal selectivity is a function of the state of adaptation. Consequently, neurons classically thought to lack information about certain attributes of the visual scene may nevertheless receive and process this information. We further hypothesize that this adaptation-dependent selectivity may arise from intra- or inter-area cellular connections, such as feedback from higher areas. This network property may be a universal principle the computational goal of which is to enhance the ability of neurons in earlier visual areas to adapt to statistical regularities of the input and therefore increase their sensitivity to detect changes along these stimulus dimensions.

Adaptation, Ocular↗
PubMed2001

Neurophysiological investigation of the basis of the fMRI signal.

Functional magnetic resonance imaging (fMRI) is widely used to study the operational organization of the human brain, but the exact relationship between the measured fMRI signal and the underlying neural activity is unclear. Here we present simultaneous intracortical recordings of neural signals and fMRI responses. We compared local field potentials (LFPs), single- and multi-unit spiking activity with highly spatio-temporally resolved blood-oxygen-level-dependent (BOLD) fMRI responses from the visual cortex of monkeys. The largest magnitude changes were observed in LFPs, which at recording sites characterized by transient responses were the only signal that significantly correlated with the haemodynamic response. Linear systems analysis on a trial-by-trial basis showed that the impulse response of the neurovascular system is both animal- and site-specific, and that LFPs yield a better estimate of BOLD responses than the multi-unit responses. These findings suggest that the BOLD contrast mechanism reflects the input and intracortical processing of a given area rather than its spiking output.

Action Potentials↗
PubMed2001

Nonmonotonic noise tuning of BOLD fMRI signal to natural images in the visual cortex of the anesthetized monkey.

BACKGROUND: The perceptual ability of humans and monkeys to identify objects in the presence of noise varies systematically and monotonically as a function of how much noise is introduced to the visual display. That is, it becomes more and more difficult to identify an object with increasing noise. Here we examine whether the blood oxygen level-dependent functional magnetic resonance imaging (BOLD fMRI) signal in anesthetized monkeys also shows such monotonic tuning. We employed parametric stimulus sets containing natural images and noise patterns matched for spatial frequency and intensity as well as intermediate images generated by interpolation between natural images and noise patterns. Anesthetized monkeys provide us with the unique opportunity to examine visual processing largely in the absence of top-down cognitive modulations and can thus provide an important baseline against which work with awake monkeys and humans can be compared. RESULTS: We measured BOLD activity in occipital visual cortical areas as natural images and noise patterns, as well as intermediate interpolated patterns at three interpolation levels (25%, 50%, and 75%) were presented to anesthetized monkeys in a block paradigm. We observed reliable visual activity in occipital visual areas including V1, V2, V3, V3A, and V4 as well as the fundus and anterior bank of the superior temporal sulcus (STS). Natural images consistently elicited higher BOLD levels than noise patterns. For intermediate images, however, we did not observe monotonic tuning. Instead, we observed a characteristic V-shaped noise-tuning function in primary and extrastriate visual areas. BOLD signals initially decreased as noise was added to the stimulus but then increased again as the pure noise pattern was approached. We present a simple model based on the number of activated neurons and the strength of activation per neuron that can account for these results. CONCLUSIONS: We show that, for our parametric stimulus set, BOLD activity varied nonmonotonically as a function of how much noise was added to the visual stimuli, unlike the perceptual ability of humans and monkeys to identify such stimuli. This raises important caveats for interpreting fMRI data and demonstrates the importance of assessing not only which neural populations are activated by contrasting conditions during an fMRI study, but also the strength of this activation. This becomes particularly important when using the BOLD signal to make inferences about the relationship between neural activity and behavior.

Anesthesia↗
PubMed2001

Noticing familiar objects in real world scenes: the role of temporal cortical neurons in natural vision.

During natural vision, the brain efficiently processes views of the external world as the eyes actively scan the environment. To better understand the neural mechanisms underlying this process, we recorded the activity of individual temporal cortical neurons while monkeys looked for and identified familiar targets embedded in natural scenes. We found a group of visual neurons that exhibited stimulus-selective neuronal bursts just before the monkey's response. Most of these cells showed similar selectivity whether effective targets were viewed in isolation or encountered in the course of exploring complex scenes. In addition, by embedding target stimuli in natural scenes, we could examine the activity of these stimulus-selective cells during visual search and at the time targets were fixated and identified. We found that, during exploration, neuronal activation sometimes began shortly before effective targets were fixated, but only if the target was the goal of the next fixation. Furthermore, we found that the magnitude of this early activation varied inversely with reaction time, indicating that perceptual information was integrated across fixations to facilitate recognition. The behavior of these visually selective cells suggests that they contribute to the process of noticing familiar objects in the real world.

Action Potentials↗
PubMed2000

Sensory systems.

Our understanding of sensory systems has grown impressively in recent years as a result of intense efforts to characterize the mechanisms underlying perception. A large body of evidence has accrued regarding the processes through which sensory information at the biochemical, electrophysiological, and systems levels contributes to the conscious experience of a stimulus. Our efforts to understand the function of sensory systems have been aided by the development of new techniques, including powerful methods of molecular biology, refined short- and long-term approaches to recording from single and multiple neurons, and non-invasive neuroimaging techniques that allow us to study activity within the human brain while subjects perform a variety of cognitive tasks. In future research, the last approach is likely to form a bridge between the large body of electrophysiological knowledge acquired in animal experiments and that currently being obtained in human imaging research.

Animals↗
PubMed2000

Object recognition: holistic representations in the monkey brain.

Cognitive-psychological and neuropsychological studies suggest that the human brain processes facial information in a distinct manner, relying on mechanisms that are anatomically and functionally different from those underlying the recognition of other objects. Face recognition, for instance, can be disrupted selectively as a result of localized brain damage, and relies strongly on holistic information rather than on the mere processing of local features. Similarly, in the non-human primate, distinct neocortical and limbic structures have cell populations responding specifically to face stimuli and only weakly to other visual patterns. Moreover, such cells tend to respond to the entire configuration of a face rather than to individual facial features. But are faces the only objects represented in this way? Here I present some evidence suggesting that at least one aspect of facial processing, the processing of holistic information, may be employed by the primate brain when recognizing any arbitrary homogeneous class of even artificial objects, which the monkey has to individually learn, remember, and recognize again and again from among a large number of distractors sharing a number of common features with the target. Acquiring such an expertise can induce configurational selectivity in the response of neurons in the visual system. Our findings suggests that regarding their neural encoding faces are unlikely to be 'special', but they rather are the default 'special class' of the primate visual system.

Animals↗
PubMed1999

Functional imaging of the monkey brain.

Functional magnetic resonance imaging (fMRI) has become an essential tool for studying human brain function. Here we describe the application of this technique to anesthetized monkeys. We present spatially resolved functional images of the monkey cortex based on blood oxygenation level dependent (BOLD) contrast. Checkerboard patterns or pictures of primates were used to study stimulus-induced activation of the visual cortex, in a 4.7-Tesla magnetic field, using optimized multi-slice, gradient-recalled, echo-planar imaging (EPI) sequences to image the entire brain. Under our anesthesia protocol, visual stimulation yielded robust, reproducible, focal activation of the lateral geniculate nucleus (LGN), the primary visual area (V1) and a number of extrastriate visual areas, including areas in the superior temporal sulcus. Similar responses were obtained in alert, behaving monkeys performing a discrimination task.

Animals↗
PubMed1998

Single units and conscious vision.

Figures that can be seen in more than one way are invaluable tools for the study of the neural basis of visual awareness, because such stimuli permit the dissociation of the neural responses that underlie what we perceive at any given time from those forming the sensory representation of a visual pattern. To study the former type of responses, monkeys were subjected to binocular rivalry, and the response of neurons in a number of different visual areas was studied while the animals reported their alternating percepts by pulling levers. Perception-related modulations of neural activity were found to occur to different extents in different cortical visual areas. The cells that were affected by suppression were almost exclusively binocular, and their proportion was found to increase in the higher processing stages of the visual system. The strongest correlations between neural activity and perception were observed in the visual areas of the temporal lobe. A strikingly large number of neurons in the early visual areas remained active during the perceptual suppression of the stimulus, a finding suggesting that conscious visual perception might be mediated by only a subset of the cells exhibiting stimulus selective responses. These physiological findings, together with a number of recent psychophysical studies, offer a new explanation of the phenomenon of binocular rivalry. Indeed, rivalry has long been considered to be closely linked with binocular fusion and stereopsis, and the sequences of dominance and suppression have been viewed as the result of competition between the two monocular channels. The physiological data presented here are incompatible with this interpretation. Rather than reflecting interocular competition, the rivalry is most probably between the two different central neural representations generated by the dichoptically presented stimuli. The mechanisms of rivalry are probably the same as, or very similar to, those underlying multistable perception in general, and further physiological studies might reveal much about the neural mechanisms of our perceptual organization.

Animals↗
PubMed1998

Microsaccades differentially modulate neural activity in the striate and extrastriate visual cortex.

Saccadic eye movements in primates continually shift the location at which a given stimulus strikes the retina. Even during periods of steady fixation, microsaccades frequently jerk the center of gaze by small but resolvable distances, yet perception remains stable and continuous, uninterrupted by sudden jumps or shifts. The effect of such fixational eye movements on the activity of single neurons was examined in several regions of the visual cortex in macaque monkeys. We found that the firing of many neurons in striate and extrastriate cortex is profoundly influenced by saccades much smaller than the neurons' receptive fields. In striate cortex (V1) many cells showed a transient decrease in their firing shortly following a saccade. In sharp contrast, cells in the extrastriate areas V2 and V4 showed strong excitatory responses that closely coincided in time with the striate depression. No appreciable activity change was observed in the inferotemporal cortex (IT) following saccades. This activity pattern is consistent with the notion that topographic extrastriate areas receive extraretinal input associated with saccadic events. Such signals may be necessary for the stable perception of objects and scenes during eye movements, mediating the mapping between central object representations and the constantly changing retinotopic input.

Animals↗
PubMed1997

The role of temporal cortical areas in perceptual organization.

The visual areas of the temporal lobe of the primate are thought to be essential for the representation of visual objects. To examine the role of these areas in the visual awareness of a stimulus, we recorded the activity of single neurons in monkeys trained to report their percepts when viewing ambiguous stimuli. Visual ambiguity was induced by presenting incongruent images to the two eyes, a stimulation condition known to instigate binocular rivalry, during which one image is seen at a given time while the other is perceptually suppressed. Previous recordings in areas V1, V2, V4, and MT of monkeys experiencing binocular rivalry showed that only a small proportion of striate and early extrastriate neurons discharge exclusively when the driving stimulus is seen. In contrast, the activity of almost all neurons in the inferior temporal cortex and the visual areas of the cortex of superior temporal sulcus was found to be contingent upon the perceptual dominance of an effective visual stimulus. These areas thus appear to represent a stage of processing beyond the resolution of ambiguities--and thus beyond the processes of perceptual grouping and image segmentation--where neural activity reflects the brain's internal view of objects, rather than the effects of the retinal stimulus on cells encoding simple visual features or shape primitives.

Animals↗
PubMed1996

What is rivalling during binocular rivalry?

When different images are presented to the two eyes, they compete for perceptual dominance, such that one image is visible while the other is suppressed. This binocular rivalry is thought to reflect competition between monocular neurons within the primary visual cortex. However, neurons whose activity correlates with perception during rivalry are found mainly in higher cortical areas, and respond to input from both eyes. Thus rivalry may involve competition between alternative perceptual interpretations at a higher level of analysis. To investigate this, we tested the effect of rapidly alternating the rival stimuli between the two eyes. Under these conditions, the perceptual alternations exhibit the same temporal dynamics as with static patterns, and a single phase of perceptual dominance can span multiple alternations of the stimuli. Thus neural representations of the two stimuli compete for visual awareness independently of the eye through which they reach the higher visual areas. This finding places binocular rivalry in the general category of multistable phenomena, such as ambiguous figures, and provides a new way to study the neural cause and resolution of perceptual ambiguities.

Humans↗
PubMed1996

Activity changes in early visual cortex reflect monkeys' percepts during binocular rivalry.

When the two eyes view dissimilar images, we experience binocular rivalry, in which one eye's view dominates for several seconds and is then replaced by that of the other eye. What causes these perceptual changes in the absence of any change in the stimulus? We showed previously that some neurons in monkey cortical area MT show changes in activity during motion rivalry that reflect the perceived direction of motion. To determine whether perception-related modulation of activity occurs in other visual cortical areas, we recorded from individual neurons in V1, V2 and V4 while monkeys reported the perceived orientation of rival gratings of two orthogonal orientations. Many cells, particularly in V4, showed patterns of activity that correlated with the perceptual dominance and suppression of one stimulus. The majority were orientation-selective and could be driven equally well from either eye. It has been previously suggested that binocular rivalry involves reciprocal inhibition between monocular neurons within V1 (for example, see ref. 4), but our results do not support this view; rather, we propose that binocular rivalry arises through interactions between binocular neurons at several levels in the visual pathways, and that similar mechanisms may underlie other multistable perceptual states that occur when viewing ambiguous images.

Animals↗
PubMed1996

Visual object recognition.

Visual object recognition is of fundamental importance to most animals. The diversity of tasks that any biological recognition system must solve suggests that object recognition is not a single, general purpose process. In this review, we consider evidence from the fields of psychology, neuropsychology, and neurophysiology, all of which supports the idea that there are multiple systems for recognition. Data from normal adults, infants, animals, and brain damaged patients reveal a major distinction between the classification of objects at a basic category level and the identification of individual objects from a homogeneous object class. An additional distinction between object representations used for visual perception and those used for visually guided movements provides further support for a multiplicity of visual recognition systems. Recent evidence from psychophysical and neurophysiological studies indicates that one system may represent objects by combinations of multiple views, or aspects, and another may represent objects by structural primitives and their spatial interrelationships.

Adult↗