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Many sensory-driven behaviors rely on predictions about future states of the environment. Visual input typically evolves along complex temporal trajectories that are difficult to extrapolate. We test the hypothesis that spatial processing mechanisms in the early visual system facilitate prediction by constructing neural representations that follow straighter temporal trajectories. We recorded V1 population activity in anesthetized macaques while presenting static frames taken from brief video clips, and developed a procedure to measure the curvature of the associated neural population trajectory. We found that V1 populations straighten naturally occurring image sequences, but entangle artificial sequences that contain unnatural temporal transformations. We show that these effects arise in part from computational mechanisms that underlie the stimulus selectivity of V1 cells. Together, our findings reveal that the early visual system uses a set of specialized computations to build representations that can support prediction in the natural environment., Many behaviours depend on predictions about the environment. Here the authors find neural populations in primary visual cortex to straighten the temporal trajectories of natural video clips, facilitating the extrapolation of past observations.

Visual cortical responses are known to be highly variable across trials within an experimental session. However, the long-term stability of visual cortical responses is poorly understood. Here using chronic imaging of V1 in mice we show that neural responses to repeated natural movie clips are unstable across weeks. Individual neuronal responses consist of sparse episodic activity which are stable in time but unstable in gain across weeks. Further, we find that the individual episode, instead of neuron, serves as the basic unit of the week-to-week fluctuation. To investigate how population activity encodes the stimulus, we extract a stable one-dimensional representation of the time in the natural movie, using an unsupervised method. Most week-to-week fluctuation is perpendicular to the stimulus encoding direction, thus leaving the stimulus representation largely unaffected. We propose that precise episodic activity with coordinated gain changes are keys to maintain a stable stimulus representation in V1., Here the authors show that individual neural responses in mouse V1 to a repeated natural movie clip consist of episodic activity which is unstable in gain across weeks. Despite of the gain variability, time in the natural movie is stably represented by population activity in V1.

Cortical representations of brief, static stimuli become more invariant to identity-preserving transformations along the ventral stream. Likewise, increased invariance along the visual hierarchy should imply greater temporal persistence of temporally structured dynamic stimuli, possibly complemented by temporal broadening of neuronal receptive fields. However, such stimuli could engage adaptive and predictive processes, whose impact on neural coding dynamics is unknown. By probing the rat analog of the ventral stream with movies, we uncovered a hierarchy of temporal scales, with deeper areas encoding visual information more persistently. Furthermore, the impact of intrinsic dynamics on the stability of stimulus representations grew gradually along the hierarchy. A database of recordings from mouse showed similar trends, additionally revealing dependencies on the behavioral state. Overall, these findings show that visual representations become progressively more stable along rodent visual processing hierarchies, with an important contribution provided by intrinsic processing., Understanding stability of representation in the visual system can benefit by use of non-static, naturalistic stimuli. Here the authors examine stability of neural representations along the rat ventral stream while viewing naturalistic and synthetic movies.

Neuronal activity in sensory cortex fluctuates over time and across repetitions of the same input. This variability is often considered detrimental to neural coding. The theory of neural sampling proposes instead that variability encodes the uncertainty of perceptual inferences. In primary visual cortex (V1), modulation of variability by sensory and non-sensory factors supports this view. However, it is unknown whether V1 variability reflects the statistical structure of visual inputs, as would be required for inferences correctly tuned to the statistics of the natural environment. Here we combine analysis of image statistics and recordings in macaque V1 to show that probabilistic inference tuned to natural image statistics explains the widely observed dependence between spike count variance and mean, and the modulation of V1 activity and variability by spatial context in images. Our results show that the properties of a basic aspect of cortical responses—their variability—can be explained by a probabilistic representation tuned to naturalistic inputs., The neural sampling theory suggests that neuronal variability encodes the uncertainty of probabilistic inferences. This paper shows that response variability in primary visual cortex reflects the statistical structure of visual inputs, as required for inferences correctly tuned to the statistics of the natural environment.

Electrocorticogram (ECoG), obtained from macroelectrodes placed on the cortex, is typically used in drug-resistant epilepsy patients, and is increasingly being used to study cognition in humans. These studies often use power in gamma (30–70 Hz) or high-gamma (>80 Hz) ranges to make inferences about neural processing. However, while the stimulus tuning properties of gamma/high-gamma power have been well characterized in local field potential (LFP; obtained from microelectrodes), analogous characterization has not been done for ECoG. Using a hybrid array containing both micro and ECoG electrodes implanted in the primary visual cortex of two female macaques (for some stimulus conditions, separate ECoG and microelectrode arrays in two additional male macaques were also used), we compared the stimulus tuning preferences of gamma/high-gamma power in LFP versus ECoG in up to four monkeys, and found them to be surprisingly similar. High-gamma power, thought to index the average firing rate around the electrode, was highest for the smallest stimulus (0.3° radius), and decreased with increasing size in both LFP and ECoG, suggesting local origins of both signals. Further, gamma oscillations were similarly tuned in LFP and ECoG to stimulus orientation, contrast and spatial frequency. This tuning was significantly weaker in electroencephalogram (EEG), suggesting that ECoG is more like LFP than EEG. Overall, our results validate the use of ECoG in clinical and basic cognitive research.

Contrast sensitivity is mostly used as a tool for testing aspects of visual functions. Infantile nystagmus is a pathological phenomenon that affects the spatial-temporal visual functions due to spontaneous oscillating movements of the eyes. We examined the spatial-temporal aspects of nystagmus perception, aiming to investigate the mechanisms underlying the deterioration of their visual performance. We tested the monocular and binocular contrast sensitivity of nystagmus and normally sighted subjects by measuring contrast detection of a Gabor target with spatial frequencies slightly above the cutoff threshold of each subject (nystagmus ~3; controls = 9cpd; presentation times 60–480 ms). The dominant eye of nystagmus revealed large differences over the non-dominant eye, highlighting the superiority of the dominant over the non-dominant eye in nystagmus. In addition, binocular summation mechanism was impaired in majority of the nystagmus subjects. Furthermore, these differences are not attributed to differences in visual acuity. Moreover, the visual performance in nystagmus continue to improve for longer presentation time compared with controls and was longer in the poor eye. Since the results are not due to differences in eye movements and strabismus, we suggest that the differences are due to developmental impairment in the visual system during the critical period.

Visual features extracted by retinal circuits are streamed into higher visual areas (HVAs) after being processed along the visual hierarchy. However, how specialized neuronal representations of HVAs are built, based on retinal output channels, remained unclear. Here, we addressed this question by determining the effects of genetically disrupting retinal direction selectivity on motion-evoked responses in visual stages from the retina to HVAs in mice. Direction-selective (DS) cells in the rostrolateral (RL) area that prefer higher temporal frequencies, and that change direction tuning bias as the temporal frequency of a stimulus increases, are selectively reduced upon retinal manipulation. DS cells in the primary visual cortex projecting to area RL, but not to the posteromedial area, were similarly affected. Therefore, the specific connectivity of cortico-cortical projection neurons routes feedforward signaling originating from retinal DS cells preferentially to area RL. We thus identify a cortical processing stream for motion computed in the retina., Visual features are streamed into higher visual areas (HVAs), but how representations in HVAs are built, based on retinal output channels, is unknown. Here, the authors show that specific connectivity of cortical neurons routes retina-originated direction-selective signaling into distinct HVAs.

Until the late twentieth century, it was believed that different sensory modalities were processed by largely independent pathways in the primate cortex, with cross-modal integration only occurring in specialized polysensory areas. This model was challenged by the finding that the peripheral representation of the primary visual cortex (V1) receives monosynaptic connections from areas of the auditory cortex in the macaque. However, auditory projections to V1 have not been reported in other primates. We investigated the existence of direct interconnections between V1 and auditory areas in the marmoset, a New World monkey. Labelled neurons in auditory cortex were observed following 4 out of 10 retrograde tracer injections involving V1. These projections to V1 originated in the caudal subdivisions of auditory cortex (primary auditory cortex, caudal belt and parabelt areas), and targeted parts of V1 that represent parafoveal and peripheral vision. Injections near the representation of the vertical meridian of the visual field labelled few or no cells in auditory cortex. We also placed 8 retrograde tracer injections involving core, belt and parabelt auditory areas, none of which revealed direct projections from V1. These results confirm the existence of a direct, nonreciprocal projection from auditory areas to V1 in a different primate species, which has evolved separately from the macaque for over 30 million years. The essential similarity of these observations between marmoset and macaque indicate that early-stage audiovisual integration is a shared characteristic of primate sensory processing.

Orientation selectivity in visual cortex is not simply the result of linear input summation. Instead, selectivity is enhanced by nonlinear dendritic transformation of spatially clustered, cotuned synaptic inputs.

The most complete single-neuron transcriptome database of the mouse visual cortex was performed using a large collection of reporter mouse lines. Results highlight the unmatched neuronal diversity of the cerebral cortex.

Scientific Reports 6: Article number: 24769; published online: 20 April 2016; updated: 10 February 2017. The Acknowledgements section in this Article is incomplete: ‘The authors thank Dr. Jiabo Tan, Mr. Shuya Han for valuable help in behavioral experiments. This work was supported by the National Natural Science Foundation of China (NSFC 81261120562 to YZ and NSFC 81500754 to JZ) and the Canadian Institutes of Health Research Grants (MOP-53346, CCI-125686 & MT-10818 to RFH).

We studied, in healthy adult subjects, the association of high blood lactate levels, induced with an exhaustive exercise (12 subjects) or an intravenous infusion (four subjects) of a lactate solution (3 mg/kg in 1 min), with amplitude and latency of visual-evoked potentials. Amplitude of N75, P100, and N145 components did not show significant changes, whereas latency of P100 was reduced at exercise's end and that of N145 increased 10 min after the conclusion. Therefore, an increase of blood lactate induced by an exhaustive exercise or an intravenous infusion appears to induce an improvement in the conduction time between eye and striate cortex, while it seems to evoke a worsening of intracortical communication between striate and extrastriate areas.

Donald Hebbrsquo;s concept of cell assemblies is a physiology-based idea for a distributed neural representation of behaviorally relevant objects, concepts, or constellations. In the late 70s Valentino Braitenberg started the endeavor to spell out the hypothesis that the cerebral cortex is the structure where cell assemblies are formed, maintained and used, in terms of neuroanatomy (which was his main concern) and also neurophysiology. This endeavor has been carried on over the last 30 years corroborating most of his findings and interpretations. This paper summarizes the present state of cell assembly theory, realized in a network of associative memories, and of the anatomical evidence for its location in the cerebral cortex.

It is well known that, in humans, contrast sensitivity training at high spatial frequency (SF) not only leads to contrast sensitivity improvement, but also results in an improvement in visual acuity as assessed with gratings (direct effect) or letters (transfer effect). However, the underlying neural mechanisms of this high spatial frequency training improvement remain to be elucidated. In the present study, we examined four properties of neurons in primary visual cortex (area 17) of adult cats that exhibited significantly improved acuity after contrast sensitivity training with a high spatial frequency grating and those of untrained control cats. We found no difference in neuronal contrast sensitivity or tuning width (Width) between the trained and untrained cats. However, the trained cats showed a displacement of the cells’ optimal spatial frequency (OSF) to higher spatial frequencies as well as a larger neuronal signal-to-noise ratio (SNR). Furthermore, both the neuronal differences in OSF and SNR were significantly correlated with the improvement of acuity measured behaviorally. These results suggest that striate neurons might mediate the perceptual learning-induced improvement for high spatial frequency stimuli by an alteration in their spatial frequency representation and by an increased SNR.

In the 1950s De Valois and colleagues, followed by other researchers, discovered spectrally opposed single cells in the primate LGN. They called them Red-Green and Yellow-Blue opponent colour cells, interpreting them as the biological implementation of Hering’s opponent colours theory. By the 1990s, it became increasingly clear the growing data on such cells did not match Hering’s unique hues Red-Green, Yellow-Blue. Yet these cells today remain misleadingly described by opponent-colour or similar various terms, with no agreed best term. This paper reviews much of the data to show spectrally opposed responses in primate retina, LGN, and striate cortex are complementary colours of three types: Blue-Yellow, Red-Cyan, and (less often) Green-Magenta. Such cells may be termed ‘complementary colour cells’ as a generic category, and further specified by the respective hue pair, e.g. Red-Cyan. (In psychophysics, ‘complementary colours’ refers to a pair of colour stimuli that admix white.) The difference between opponent colours and complementary colours is more than semantic: it concerns colour constancy, which in theory is aided by complementary colour cells.

The abundant concentration of cytochrome oxidase in patches or blobs of primate striate cortex has never been explained. Patches are thought to contain unoriented, color-opponent neurons. Lacking orientation selectivity, these cells might endow patches with high metabolic activity because they respond to all contours in visual scenes. To test this idea, we measured orientation tuning in layer 2/3 of macaque cortical area V1 using acutely implanted 100-electrode arrays. Each electrode recording site was identified and assigned to the patch or interpatch compartment. The mean orientation bandwidth of cells was 28.4° in patches and 25.8° in interpatches. Neurons in patches were indeed less orientation selective, but the difference was subtle, indicating that the processing of form and color is not strictly segregated in V1. The most conspicuous finding was that patch cells had a 49% greater overall firing rate. This global difference in neuronal responsiveness, rather than an absence of orientation tuning, may account for the rich mitochondrial enzyme activity that defines patches.

This review describes the spiny stellate cells (SCC) which constitute a unique category of cortical interneurons and represent a major component of intracolumnar, lateral and collosal excitation of neocortical pyramidal and nonpyramidal neurons. SCC axons establish contacts with apical dendrites of pyramidal neurons forming cartridge-type synapses en passant with them. SCC establish recurrent connections with inhibitory interneurons and other SCC and also form contacts on themselves through autapses. SCC subtypes are identified, their structure, neurochemical specialization and spatial organization in human and animal neocortex are described. On the basis of the results of author's own investigations and literature data, critical analysis of up-to-date concepts of the histophysiology of recurrent excitatoty and inhibitory neurocirculation in the cortical module, is presented.

To establish an objective visual field analysis by visual evoked magnetic fields. Forty-eight focal areas of the visual field were stimulated by the visual evoked response imaging system (VERIS). The multifocal visual evoked magnetic fields (mfVEFs) of 11 healthy subjects were recorded. The output signals were recorded with VERIS, and the second-order kernel was calculated. The equivalent current dipoles (ECDs) were estimated, and the relative positioning of ECDs was determined by a magnetoencephalography (MEG) system. The mfVEFs consisted of either two- or three-peak waves. Large amplitude mfVEFs were elicited when the stimulus was confined to 6° of the central visual field, but a strong response could not always be obtained between 6° and 12°. All ECDs were estimated to originate in the occipital striate cortex. The ECDs for the upper (lower) field stimulations were estimated to be on the lower (upper) cortex, while those for right (left) field stimulations were on the left (right) cortex. The locations of mfVEF peak ECDs were correlated with the stimulated visual field and generally matched the cruciform model. In combination with the multifocal technique, MEG can be used for objective visual field analysis. Jpn J Ophthalmol 2004;48:115–122 © Japanese Ophthalmological Society 2004

Space constancy (the perception that the world remains stable despite eye movements) might be mediated by receptive fields with constant locations in the world rather than constant locations on the retina. In a strong form the hypothesis, receptive fields of single neurons would compensate for all eye movements, whereas in a weak form they would compensate only for the small movements of fixation that occur without retargeting. Early receptive field mapping confounded world-centered and retina-centered organizations by fixing the retina relative to the world. This paper links the strong and weak forms of constancy by relating previously isolated data, and illustrates the issues with a previously unpublished figure showing that striate receptive field have constant retinal locations. The first tests of space constancy in striate cortex contradicted the strong hypothesis; recent tests contradict the weak hypothesis, also. The results are consistent with modern theories of space constancy, differentiating between motor-oriented and perceptual functions of vision, and differentiating between constancy during pursuit and constancy across saccades.

Two studies show that cortical feedback and metabotropic glutamate receptor 1 are necessary for the proper refinement of reticulogeniculate synapses during visual system development.

We analyzed striate cortex electrocorticograms of 12 cats in the following states: at rest with eyes closed and with eyes open; after light electrical stimulation of the ears; drowsiness; opening of the eyes after drowsiness; narcotic sleep. Spectral and periodometric analyses of the ECOG revealed state-dependent differences in power spectra from cats in two frequency bands (2.8–5.0 and 13.8–20.8 Hz). It is suggested that the ratio of ECOG power spectra in these frequency bands can be used to evaluate brain activation in cats.

Extirpation of a local region led to irreversible loss of the corresponding function. A local region of the striate cortex specialized in visuomotor functions was identified in rat brain.

This study shows that the circadian gene Clock drives the maturation of parvalbumin-expressing interneuron networks, and therefore critical period plasticity, in the mouse visual cortex.

Examination of brains from Old World monkeys and cats one year after optic tract transection showed a significantly reduced density of neurons in layer IV C of area 17 (striate cortex) in the projection of central vision on the transection side in the monkeys but not in the cats. It is concluded that peripheral vision is less vulnerable to deafferentation than central vision.

How much can the adult brain compensate for injury to the senses of touch or vision, for example? The answer from the latest results on the visual system, involving damage to the retina, seems to be 'very little'.

Excitatory receptive field (ERF) response profiles and length summation functions were derived from complex neurones in cat striate cortex. Measured length summation was compared with summation predicted from integration over ERF profiles. In a minority of neurones, measured and predicted summation were well matched. In the majority, whether end-stopped or not, responsiveness in length summation tests was appreciably greater than predicted for short stimuli, compared with ERF profiles. The mismatch was least in standard and greatest in special complex neurones; in the latter group, response levels to long stimuli fell well below predicted levels. In end-stopped neurones the decremental portion of length summation functions was not predicted by ERF profiles. These results implicate the involvement of non-linear mechanisms, whereby concomitant stimulation of central regions of the receptive field (RF) potentiate the efficacy of loci towards either end of the RF.

Width summation of complex neurones in cat striate cortex was assessed for moving sine-wave gratings. Summation was restricted in special complex neurones, approximately matched receptive field width in intermediate complex neurones and exceeded it in most standard complex neurones. Responses to preferred and opposite directions of motion were compared: 12 of 20 complex neurones showed similar directional bias for moving sinewave gratings and for single moving bars of either contrast polarity; 8 of 20 were similarly or more weakly direction-selective for bars than for grating patches, dependent on patch width. In two of these, this was despite the fact that the directional bias for gratings was invariant with patch width. In the remaining six, differences could be accounted for by progressive increase or decrease in directional bias for gratings, as grating patch width was systematically increased. In conclusion, directional bias of a substantial proportion of complex cells is determined by stimulus configuration.

Previous studies have determined that the striate cortex of the rat is reciprocally connected with multiple extrastriate cortical areas that are retinotopically organized. The objective of this study was to investigate the retinotopy of the striate-extrastriate connections in the rat, by placing triple or double injections of fluorescent tracers (fluorogold, fast blue, rhodamine dextran, or rhodamine-labeled microspheres) in different regions of the striate cortex (Oc1) and mapping the distribution of cells and fibers labeled with the different tracers in the lateral (Oc2L) and medial (Oc2M) extrastriate cortex. The tracer injection sites were visualized in tangential sections of the flattened cortex and correlated with the myelin layout of the striate cortex and with an electrophysiological map from previous studies. The results showed retinotopically organized Oc1 connections with ten different extrastriate cortical areas. The location of these extrastriate areas and the retinotopy of their striate connections remained mostly invariant despite changes of the injection sites in Oc1. Thus, the quadrantic retinotopy was obtained for striate connections to areas posterior, posterolateral, lateromedial, laterointermediate, laterolateral, anterolateral and rostrolateral in Oc2L; and to areas posteromedial, anteromedial, and anterior in Oc2M. The present anatomical map correlates well with electrophysiological maps of the rat extrastriate cortex from previous studies. Furthermore, they provide a definition of the retinotopy of some areas that have not been completely mapped before. These results reaffirm the existence of multiple extrastriate visual areas in the rat.

The author, Alan Cowey, writes the following: In my review entitled ‘‘The Blindsight Saga,’’ I cite the article by De Gelder et al. (2009, Intact navigation skills after bilateral loss of striate cortex, Current Biology, 18:R1128– R1129). In discussing the possibility that the patient was navigating by echolocation I cited the authors as saying that the possibility ‘‘...can be safely discounted’’ whereas what they actually wrote was ‘‘...cannot be totally ruled out’’. The error arose because I was citing a prepublication version of their paper and not the final revised version. I am happy to acknowledge my error and apologize for it.

The contribution of neurons containing gamma-aminobutyric acid (GABA) to horizontal intrinsic projections in layers I-III of cat's striate cortex was investigated by combining GABA-immunohistochemistry with axonal tracing. After intracortical injections of Rhodamine-labelled latex microspheres Rhodamine-labelled neurons form patch- or bandlike aggregations (clusters) separated from each other by regions containing fewer, evenly distributed or no labelled neurons. Of the Rhodamine-labelled neurons about 5% display GABA-immunoreactive material (double labelled = DL-neurons). Approximately 70% of the DL-neurons occur at distances of less than 1 mm, and the remaining 30% at distances between 1 mm and 2.5 mm from the injection. About 60% of the DL-neurons reside within clusters and 40% are located in regions between clusters; the respective percentages of the Rhodamine labelled GABA-negative neurons are about 85 and 15. Considering their small number and their spatial distribution inhibitory interneurons seem to make only minor contributions to the clustered pattern of intrinsic connections. Our results demonstrate that the topographical organization of neurons giving origin to lateral inhibitory interactions in upper layers of cat's striate cortex is different from that of neurons mediating excitatory functions.

Peaks in more than 5000 spike train correlograms, obtained from monkey striate cortex, were measured. Earlier work had shown qualitatively that there are frequent prominent peaks having widths in a range around 50 ms, and narrower peaks less than about 7 ms wide. Here we demonstrate that the distribution of peak widths shows a dichotomy.

In single neurones recorded from the striate cortex of cats anaesthetized with N2O/O2/halothane, receptive field dimensions, length specificity and areal extent of drive were assessed for different classes of visual stimuli. Receptive fields were mapped as rectangular minimum response fields (MRFs). Spatial summation along the axis of preferred orientation was assessed: for moving bars whose length was varied (length summation); and for height variation of a square-wave grating patch against a uniform grey background, or a patch of moving texture against a stationary background of similar texture. In complementary tests a moving square-wave grating background was progressively occluded by a uniform grey foreground mask of variable height; or a mask of stationary texture of variable height progressively occluded a background of moving texture. In parallel measurements, the width of grating or textured patches or masks was varied whilst maintaining height constant. Broadly speaking, the areal influence of each class of stimulus was comparable, and distinct from extra-receptive field phenomena in evoking responses from within the receptive field, but not from surrounding areas. The masking paradigm provided the most sensitive measure of receptive field height and width. However, in some neurones length summation, the degree of end-stopping, and the directional bias depended critically on the stimulus configuration used. Length summation tended to be more dramatic for short bars than for gratings. Length summation for texture was significantly more pronounced than for an oriented bar in special and in intermediate complex neurones. By contrast, endstopping was typically less intense for gratings than for bars, and least pronounced for texture. Because of stimulus specificity, complex neurones assigned to particular functional subgroups on the basis of their response to oriented bars may exhibit quite different patterns of behaviour for other classes of stimuli.

1. Visual cortical unit activity is organized in accordance with the stages of goal-directed behavior. 2. Activity of visual cortical neurons in goal-directed behavior changes with a change in the visual environment. 3. During a change in the components of the visual environment details of performance of actions aimed at achieving intermediate and final results of behavior also change. 4. Details of the environment determine the composition of subsystems included in the functional system of the behavioral act, and hence they determine the organization of activity of all neurons used in the system, including neurons in the visual cortex.

This paper develops a concordance of methods for designating laminae in the primate striate cortex. The classic notation schemes of Ramón y Cajal, Brodmann, and von Bonin and four recent modifications are described in words and photomicrographs. The recent trend toward adopting a lamination scheme that effects a division of cells into recognizable layers and at the same time reflects their connections is considered. Since a single, consistent plan for lamination of the visual cortex would facilitate communication among investigators, it is suggested that Brodmann's original scheme be followed as the most generally useful and applicable.

Using controls and procedures responsive to criticisms of an earlier study by Eason, Harter, and White (1969), two experiments were conducted to test the hypothesis that selectively attending to a given spatial location involves a corticofugally controlled precortical neural filter that differentially screens information arriving from relevant and irrelevant locations. Twelve subjects participated in each experiment. The amplitude of an early evoked potential component believed to arise from striate cortex was greater to attended than to unattended stimuli presented in a given visual field. The amplitude also was greater during focused than during divided attention. In addition to corroborating the 1969 study, the results supported the precortical filtering hypothesis.

This study examined the extent to which the responses of single cells in the striate cortex (V1) and the extrastriate cortex (V4) of the alert rhesus monkey are modulated by visual stimuli whose relevance in a behavioral task is varied. The animal had to detect the repetition of a visual pattern (i.e. detect similarity), preceded by a randomized number of alternations between two different patterns. The responses produced by the last, reward contingent stimulus were compared with responses obtained to that same stimulus earlier in the sequence. Modulatory effects in V1 were moderate: 31% of the cells (63 of 200) showed response increments of 20% or more to the last, reward contingent stimulus. In V4 the effects were much more pronounced: 72% of the cells (110 of 154) showed modulatory effects of more than 20%. In V4 but not in V1 orientation tuning curves showed a significant narrowing as well as a peak response increment to the behaviorally salient stimulus, suggesting a feature specific mechanism associated with the detection of similarity. Although a response decrement was observed in many cells during the repeated alternations, this effect was significantly smaller than the modulation produced by the detection of similarity. Controls included the presentation of novel stimuli during the presentation sequence which did not produce an enhanced response. It is hypothesized that the feature specific effects reported here are produced by higher order feedback systems.

A hypercolumn of monkey striate cortex was studied with an array of 30 closely spaced microelectrodes. Prominent broad peaks appearing in spike train correlograms are considered here. These were not due to shared stimulation, were mostly 30 to 100 ms wide, and were presumably the consequence of intraretinal lateral interactions. The correlogram peak areas were found to be predictable from the products of the spike rates, to which they were proportional. One can conclude that the correlation occurs before the overall reduction of spike rates from retina to cortex takes place. Furthermore, when a neurone dominated by one eye was stimulated via that eye, the correlogram formed with a neurone dominated by the other eye showed a displaced peak, indicating that excitation traveled from the well-responding to the unresponsive neurone in about 10 ms. When a left-eye stimulus was delivered, the same pair of neurones had a correlogram with a reversed peak displacement. This effect was only observed in layers IVb and c, indicating that in these layers the paths from the two eyes to a given cell are of unequal length, whereas in other layers, cells receive input from both eyes via similar connections differing only in strength.

A theory of early visual information processing proposed by Marr and co-workers suggests that simple cortical cells may be involved in the detection of zero crossing in the retinal output. We have tested this theory by using pairs of adjacent edges (staircases stimuli) and recording from edge-specific simple cells in cat striate cortex. The zero crossing hypothesis gives rise for such stimuli to non-obvious predictions that were generally confirmed by the experiment.

The light-avoidance behavior of normal rats and rats with primary visual system lesions was examined in a differentially illuminated two-choice chamber over 28-58 days. Light avoidance in normal rats was distributed as a J curve, with some rats spending little time in the light and some rats spending up to 12 h each day in the light. Normal rats ate in the dark compartment, hoarded food to the dark, but defecated in the lighted compartment. Enucleation abolished light avoidance and the other behaviors. Neither small nor large posterior neocortex lesions affected light avoidance or other behaviors. Avoidance behavior was also unchanged following superior colliculus lesions and pretectal lesions, but was increased by lateral geniculate lesions, posterior thalamus lesions or combined posterior neocortex and hippocampal lesions, and posterior neocortex and superior colliculus lesions. The results do not support previous suggestions that primary optic-center lesions decrease light avoidance in the rat.

The functional characteristics of the feedback connections from areas 18 and 19 to area 17 in the cat have been examined with electrophysiological techniques. The experiments involved single unit recording in laminae 2 and 3 of area 17 while stimulating electrically a small region of area 18 or 19. It was found that a precise retinotopic correspondence between the sites of recording and stimulation was necessary before neurons of area 17 could be activated by electrical stimulation in extrastriate areas. Latencies were long compared to those obtained after stimulation of the optic radiation. The mean latency for orthodromic drive from area 19 was 10.4 ms and 6.1 ms from area 18, suggesting that the conduction velocities in these pathways are of the order of 1 m/s. The jitter of the latency after repeated orthodromic stimulation was often shorter than 0.3 ms, indicating that a large number of the sampled neurons received a direct drive from area 18 or from area 19. The functional properties of neurons driven from area 19 were different from those of cells driven from area 18. Thus, most striate neurons orthodromically driven from area 19 were of the SH and S type whereas the cells activated by area 18 stimulation belonged to the C and B categories.

The solitary cells of Meynert are distinguished by their specific location in layer V of the striate cortex, very large size, argyrophilia, and the profusion of neurofilaments in their dendrites and perikarya. They occur with greater frequency in the macular region of the cortex, spaced a minimal distance of 110 mum apart, at a maximum density of about 8000/cm-2. In the perifoveal cortex, Meynert cells are spaced about 400 mum apart and packed at a density of approximately 625/cm-2. Each Meynert cell has an apical dendrite and many large basal dendrites. The perikaryon and primary segments of all dendrites are spine-free; however, more distally a total of 36 000 spines are present, differentially disposed upon the dendritic surfaces. The basal dendrites bear over 77% of the spines on the Meynert cell, although they account for only 66% of the total length of the dendritic arborization. The first part of the apical dendrite is the most densely decorated with appendages, accounting for almost 10% of the spines on the whole dendritic tree. The apical dendrite becomes progressively less spiny as it passes through the superficial part of layers IV and III; less than 2.5% of the total number of spines of the Meynert cell project from this part of the apical dendrite. When the dendrite reaches layer II it bursts into an umbel of rapidly tapering branches. These are highly spinose, accounting for 8-13% of the cell's total, dispersed over only 23% of the linear dendritic length. It is suggested that this differential distribution of thorns can be correlated with the axonal inputs in the various cortical layers, and that the Meynert cell is designed to receive maximal information from layers I and II, and from layers V and VI, which are sources mainly of intracortical inputs. Thus the Meynert cell may be principally concerned with integrative information. In the perifoveal cortex, the basal dendrites of adjacent Meynert cells overlap considerably, and the apical terminal bouquet dendrites do not. In the macular cortex, because of the increased frequency of these neurons, both basaal and apical terminal dendritic fields overlap. A model is developed to illustrate these hypotheses.

A neural model is constructed based on the structure of a visual orientation hypercolumn in mammalian striate cortex. It is then assumed that the perceived orientation of visual contours is determined by the pattern of neuronal activity across orientation columns. Using statistical estimation theory, limits on the precision of orientation estimation and discrimination are calculated. These limits are functions of single unit response properties such as orientation tuning width, response amplitude and response variability, as well as the degree of organization in the neural network. It is shown that a network of modest size, consisting of broadly orientation selective units, can reliably discriminate orientation with a precision equivalent to human performance. Of the various network parameters, the discrimination threshold depends most critically on the number of cells in the hypercolumn. The form of the dependence on cell number correctly predicts the results of psychophysical studies of orientation discrimination. The model system's performance is also consistent with psychophysical data in two situations in which human performance is not optimal. First, interference with orientation discrimination occurs when multiple stimuli activate cells in the same hypercolumn. Second, systematic errors in the estimation of orientation can occur when a stimulus is composed of intersecting lines. The results demonstrate that it is possible to relate neural activity to visual performance by an examination of the pattern of activity across orientation columns. This provides support for the hypothesis that perceived orientation is determined by the distributed pattern of neural activity. The results also encourage the view that limits on visual discrimination are determined by the responses of many neurons rather than the sensitivity of individual cells.

Extracellular responses of single units in striate cortex of the cat were studied quantitatively. Sinusoidal gratings were used as stimuli and the variables of interest were orientation and contrast. Specifically, we wanted to determine if orientation tuning was dependent on contrast. Of 45 cells studied in detail, two basic types of contrast-response pattern were observed, but most patterns were intermediate between these extremes. In one type, responses increased approximately linearly with log contrast while in the second, saturation was found at low contrast levels. For all these cells, orientation tuning characteristics were independent of contrast. An additional observation, made from 14 cells, was that stimuli presented at non-optimal orientations can suppress responses to below the general maintained discharge levels. In eight of these cases, the inhibition was clearly contrast-dependent.

Visual functions of lateral peristriate cortex in the gray rat were behaviorally explored. Three groups of rats were trained: normal controls (N = 6), an operated control (monocular field of the striate cortex) (N = 5), and an experimental group which has lesions in the lateral peristriate cortex (N = 5). All subjects were trained postoperatively on a visual conditional discrimination problem. Lateral peristriate subjects had a significant deficit on pattern discrimination with respect to operated and normal control groups, and failed on the conditional discrimination test. Lateral peristriate cortex appears to have an important role in the acquisition of pattern discrimination, and an essential one in more complex visual tasks, where the association of two visual cues is required to master the problem.

In Experiment 1, rats with parietal, temporal, or frontopolar neocortex ablations and nonoperated controls were trained on seven spatial reversals. The animals with parietal association cortex damage were found to be deficient on this task compared to all other groups. In Experiment 2, rats with either temporal or striate neocortical ablations or subcortical lesions of the lateroposterior thalamic nucleus and nonoperated controls were trained on a black-white reversal task. The rats with temporal damage committed significantly more errors than all other groups. These results together with those of previous research suggest that a dissociation exists between the effects of parietal and temporal association cortex ablations on reversal learning in the rat. It was suggested that the visual functions of the temporal association cortex might be mediated by connections with either the striate cortex or the lateroposterior thalamic nucleus.

Research was performed on the intracellular activity of 150 neurons belonging to area 17 of the binocular region of the chipmunk visual cortex, showing that 65% were directionally selective and tuned (to varying degrees) to the angle of boundaries between contrasting areas and a light bar; 18% were not tuned to the direction and angle of stimulus movement, while 17% were only activated by general illumination of the receptive field. Of 39 directionally tuned neurons tested in relation to moving and stationary stimuli, 16 responded to stimulus movement only, 13 reacted to presentation of stationary bars with prolonged tonic activation, seven with a brief phasic response, and three with a phasic-tonic response. All phasic neurons were more intensively activated at higher rates of movement than tonic cells. The article considers whether an analogy may be drawn between “fast” (phasic) and “slow” (or tonic) neurons with Y- and X-systems respectively.