Investigation of neurons involved in the analysis of gestalt prey features in the frogRana temporaria

Neuroethology of releasing mechanisms: Prey-catching in toads

“Sign stimuli” elicit specific patterns of behavior when an organism's motivation is appropriate. In the toad, visually released prey-catching involves orienting toward the prey, approaching, fixating, and snapping. For these action patterns to be selected and released, the prey must be recognized and localized in space. Toads discriminate prey from nonprey by certain spatiotemporal stimulus features. The stimulus-response relations are mediated by innate releasing mechanisms (RMs) with recognition properties partly modifiable by experience. Striato-pretecto-tectal connectivity determines the RM's recognition and localization properties, whereas medialpallio-thalamo-tectal circuitry makes the system sensitive to changes in internal state and to prior history of exposure to stimuli. RMs encode the diverse stimulus conditions referring to the same prey object through different combinations of “specialized” tectal neurons, involving cells selectively tuned to prey features. The prey-selective neurons express the outcome of information processing in functional units consisting of interconnected cells. Excitatory and inhibitory interactions among feature-sensitive tectal and pretectal neurons specify the perceptual operations involved in distinguishing the prey from its background, selecting its features, and discriminating it from predators. Other connections indicate stimulus location. The results of these analyses are transmitted by specialized neurons projecting from the tectum to bulbar/spinal motor systems, providing a sensorimotor interface. Specific combinations of such projective neurons – mediating feature- and space-related messages – form “command releasing systems” that activate corresponding motor pattern generators for appropriate prey-catching action patterns.

Dynamic response properties of visual neurons and context-dependent surround effects on receptive fields in the tectum of the salamander Plethodon shermani

Neuronal responses to complex prey-like stimuli and rectangles were investigated in the tectum of the salamander Plethodon shermani using extracellular single-cell recording. Cricket dummies differing in size, contrast or movement pattern or a rectangle were moved singly through the excitatory receptive field of a neuron. Paired presentations were performed, in which a reference stimulus was moved inside and the different cricket dummies or the rectangle outside the excitatory receptive field. Visual object recognition involves much more complex spatial and temporal processing than previously assumed in amphibians. This concerns significant changes in absolute number of spikes, temporal discharge pattern, and receptive field size. At single presentation of stimuli, the number of discharges was significantly changed compared with the reference stimulus, and in the majority of neurons the temporal pattern of discharges was changed in addition. At paired presentation of stimuli, neurons mainly revealed a significant decrease in average spike number and a reduction of excitatory receptive field size to presentation of the reference stimulus inside the excitatory receptive field, when a large-sized cricket stimulus or the rectangle was located outside the excitatory receptive field. This inhibition was significantly greater for the large-sized cricket stimulus than for the rectangle, and indicates the biological relevance of the prey-like stimulus in object selection. The response properties of tectal neurons at single or paired presentation of stimuli indicate that tectal neurons integrate information across a much larger part of visual space than covered by the excitatory receptive field. The spike number of a tectal neuron and the spatio-temporal extent of its excitatory receptive field are not fixed but depend on the context, i.e. the stimulus type and combination. This dynamic processing corresponds with the selection of the stimuli in the visual orienting behavior of Plethodon investigated in a previous study, and we assume that tectal processing is modulated by top down processes as well as feedback circuitries.

Innate visual object recognition in vertebrates: some proposed pathways and mechanisms

Almost all vertebrates are capable of recognizing biologically relevant stimuli at or shortly after birth, and in some phylogenetically ancient species visual object recognition is exclusively innate. Extensive and detailed studies of the anuran visual system have resulted in the determination of the neural structures and pathways involved in innate prey and predator recognition in these species [Behav. Brain Sci. 10 (1987) 337; Comp. Biochem. Physiol. A 128 (2001) 417]. The structures involved include the optic tectum, pretectal nuclei and an area within the mesencephalic tegmentum. Here we investigate the structures and pathways involved in innate stimulus recognition in avian, rodent and primate species. We discuss innate stimulus preferences in maternal imprinting in chicks and argue that these preferences are due to innate visual recognition of conspecifics, entirely mediated by subtelencephalic structures. In rodent species, brainstem structures largely homologous to the components of the anuran subcortical visual system mediate innate visual object recognition. The primary components of the mammalian subcortical visual system are the superior colliculus, nucleus of the optic tract, anterior and posterior pretectal nuclei, nucleus of the posterior commissure, and an area within the mesopontine reticular formation that includes parts of the cuneiform, subcuneiform and pedunculopontine nuclei. We argue that in rodent species the innate sensory recognition systems function throughout ontogeny, acting in parallel with cortical sensory and recognition systems. In primates the structures involved in innate stimulus recognition are essentially the same as those in rodents, but overt innate recognition is only present in very early ontogeny, and after a transition period gives way to learned object recognition mediated by cortical structures. After the transition period, primate subcortical sensory systems still function to provide implicit innate stimulus recognition, and this recognition can still generate orienting, neuroendocrine and emotional responses to biologically relevant stimuli.

Morphology, axonal projection pattern, and response types of tectal neurons in plethodontid salamanders. II: intracellular recording and labeling experiments

In the plethodontid salamanders Plethodon jordani and P. glutinosus, the morphology and axonal projections of 140 tectal neurons and their responses to electrical optic nerve stimulation were determined by intracellular recording and biocytin labeling. Six types of neurons are distinguished morphologically. TO1 neurons have wide dendritic trees that arborize mainly in tectal layers 1 and 3; they project bilaterally to the tegmentum and contralaterally to the medulla oblongata. TO2 neurons have very wide dendritic trees that arborize mainly in layers 2 and 3; axons project bilaterally or unilaterally to the pretectum and thalamus and ipsilaterally to the medulla oblongata. TO3 neurons have very wide and flat dendritic trees confined to layers 3-5; some have the same axonal projection as TO2 neurons, whereas others have descending axons that reach only the level of the cerebellum. TO4 neurons have narrower dendritic trees that arborize in layers 2 and 3; they project to the ipsilateral pretectum, thalamus, and medulla oblongata. TO5 neurons have dendritic trees that arborize in layers 1 and 2 or 1-3 and project bilaterally or unilaterally to the pretectum and thalamus. TO-IN are interneurons, with a number of subtypes with respect to variations in dendritic arborization pattern. TO1-TO5 neurons generally have short latencies of 2-16 ms (average = 8.4 ms) at electrical optic nerve stimulation; first responses are always excitatory, often followed by inhibition. They are likely to be mono- or oligosynaptically driven by retinal afferents. TO-IN interneurons have long latencies of 20-80 ms (average = 38.6 ms) and appear to receive no direct retinal input. With their specific dendritic arborization, consequent dominant retinal input, specific axonal projections, the different types of tectal projection neurons constitute separate ascending and descending visual pathways. Hypotheses are presented regarding the nature of the information processed by these pathways.

Invariants in the ipsilateral retinotectal visual projection of frogs

We determined whether the sensitivity of the ipsilateral type II units of Rana esculenta to prey (W/H-oriented bars) and non-prey (A/V-oriented bars)-like targets remains invariant under various experimental conditions. We show that the shape of the 'discrimination' curve is largely unaffected by the level of general illumination and by the background texture. An increase in the stimulus velocity and in the width of the bars moderately affects the salient points (negative peak and preference reversal) of the curve, but does not alter the overall configurational preference of these units. As for retinal ganglion cells: (i) this curve expresses better a 'contrast' between two vertically oriented edges of different dimensions than a 'contrast' between two edges of equal dimension but of different orientation; and (ii) the experimentally induced variations can be explained on the basis of the spatial and temporal properties of the neuronal elements forming the antagonistic center-surround arrangement of the receptive field.

Modeling the physiological responses of anuran R3 ganglion cells

Teeters and Arbib (Bio Cybernet 1991;64:197-207) presented a model of the anuran retina which qualitatively accounts for some of the characteristic response properties used to distinguish ganglion cell type in anurans. Teeters et al. (Vis Res 1993;33:2361-2379) tested the model's ability to reproduce data of Ewert and Hock (Exp Brain Res 1972;16:41-59) relating toad R2, R3 and R4 ganglion cell responses to moving worm, antiworm and square-shaped stimuli of various edge lengths for stimulus shape and size dependency. In this paper we provide an exhaustive analysis of the performance of the modeled R3 cells with respect to most of the known qualitative and quantitative physiological properties of natural R3 ganglion cells. We also introduce several relevant predictions of the model relating different responses of R3 cells under the effect of changes in different model components. In some cases the predictions have been tested in neurophysiological experiments.

Responses of class R3 retinal ganglion cells of the frog to moving configurational bars: effect of the stimulus velocity

Discrimination of 'prey' (bars elongated in the direction of movement; W- or H-orientation) and 'non-prey' (bars perpendicular to the direction of movement; A- or V-orientation) stimuli in freely moving amphibians is velocity-invariant. Whether or not this phenomenon is present in cells belonging to a general decision making neuronal process remains questionable. Present investigations report the effect of the angular velocity of the stimulus on the discrimination function of class R3 (transient ON-OFF) retinal ganglion cells. The main conclusions of this work are the following: (1) irrespective of the angular velocity, class R3 neurons always prefer vertically (A-) to horizontally (W-) oriented stripes as long as the stimulus length remains inferior to the receptive field size; (2) this preference for small A-stimuli is best expressed when stimuli are moved at V = 7.6 degrees/s; (3) a preference reversal is induced by stripes longer than the receptive field via a dual process involving both spatial and temporal mechanisms; (4) this preference reversal is velocity-dependent: the longer the bar, the faster the velocity should be.

Responses of ipsilateral retino-tectal (type I1) units of the frog (Rana esculenta) to moving configurational bars

In frogs, retinal information projecting to the ipsilateral optic tectum uses a complex, at least bi-synaptic, route. Ipsilateral visual units recorded at the tectal level correspond to isthmic axon terminals. For a better approach of their visual function, these units have been stimulated with moving (V = 7.6 degrees/sec) configurational stimuli proved earlier to be able to elicit classical behavioural sequences in amphibians. In the presence of W("worm-like")-stimuli of increasing length (2 degrees < L < 20 degrees), the discharge rate of type I1 units remains rather constant. In response to A("antiworm-like")-stimuli, the discharge rate first increases up to L = 5-6 degrees and then decreases continuously. The ability of these units to discriminate bars of equal dimension but of different configuration was defined using the "contrast-like" formula originally proposed by Ewert et al. (1978). The relationship between the discrimination factor D(W, A) and the length of the stimuli is similar in shape to that found in class R3 ganglion cells. Results suggest thus that the classical functional homology between type I1 ipsilateral units and class R2 retinal neurons is inadequate.

Quantitative modeling of responses of anuran retina: stimulus shape and size dependency

Teeters and Arbib presented a model of the anuran retina which qualitatively accounts for the characteristic response properties used to distinguish ganglion cell type in anurans. In this paper we test the model's ability to reproduce quantitatively tabulated data on the dependency on stimulus shape and size, with a new implementation of the model in the neural simulation language NSL. Data of Ewert and Hock relating toad R2, R3, and R4 ganglion cell responses to moving worm, antiworm, and square-shaped stimuli of various edge lengths are used to test stimulus shape and size dependency. A close match to the data can be achieved by tuning some of the model parameters while still retaining the characteristic responses to the typical stimulus types. We stress here the importance of a populational approach to the models. We place more emphasis on the variation of response properties in a population of neurons of the same class, rather than questing for the neuron of a given type. As an example of the populational approach we offer a model for the respiratory R3 response following researchers who argue that a subclass of R3 neurons are activated by stationary boundaries owing to the anuran's self induced respiratory eye movement.

Quantitative stimulus-response studies on sustained ganglion cells in the frog retina

"Sustained" visual units, i.e. nonerasable (R1) and erasable (R2) units as commonly described, were recorded in the superficial layers of the rostral optic tectum of Rana esculenta and their neuronal activity (expressed as the mean firing frequency R) was quantitatively analyzed. The mean value of the exponent alpha of the velocity function of the erasable R1 units was found to be 0.46 and the constant k to be about 24.7. The optimal stimulus diameter was equal to 2.6 deg. For the whole population of the erasable units, the exponent alpha was found to be between 0.36-0.75 (mean value approximately 0.56, i.e. largely different from the values currently reported for such units) and was independent of the stimulus diameter (D = 0.6-6 deg). However, the constant k of the velocity function (range: 8.2-37.7) varied with D. Most of the erasable units (called "mixed R1-R2" units) therefore showed an R1-type velocity function with an exponent alpha approximately 0.5 and a constant k approximately 25 but reacted to other parameters as did "typical" R2 units: (i) their neuronal response was related to the stimulus diameter by a logarithmic function with a maximum obtained for D = 2.4 deg; and (ii) a variation of about 4-17% on either side of the average value of R was observed, independent either of the stimulus velocity or of the diameter of the stimulus. Results are compared to known quantitative data, and the use of stimulus-response relationships as a tool for classification is discussed.

Quantitative studies on ipsilateral type 2 retinotectotectal (IRTT) units in frogs: homologies with R3 ganglion cells

Contralateral and ipsilateral responses from deep layers of the rostral neuropil of the optic tectum of Rana esculenta were recorded extracellularly and quantitatively analyzed. Effects of the velocity and diameter of the stimulus on the neuronal response (measured as the mean firing frequency, R) were mainly tested in this work. 1. Among the population of changing contrast or event ganglion cells, R3-like units (with a weak response to background off-on stimulation) were defined in addition to typical R3 ganglion cells. 2. A power function relating R and the stimulus velocity (v) was established in all units (R = k v alpha), with alpha = 0.80-1.07 and k = 2.1-9.5 for R3 units, alpha = 0.55-0.77 and k = 5.8-15.2 for R3-like units, and alpha = 0.80-1.16 and k = 1.3-5.1 for ipsilateral I2 units. 3. The area function was expressed by a logarithmic function. In all classes the maximal response was obtained with 4.4 degrees-7.5 degrees targets, independent of the test velocity. 4. Both the velocity and the diameter of the stimulus influenced the value of the dynamic receptive field diameter. 5. Finally, results show that qualitative and quantitative properties of I2 units are similar to those of R3 ganglion cells.

Neurophysiological properties of the retinal ganglion cell classes of the Cuban treefrog, Hyla septentrionalis

The properties of the retinal ganglion cell classes in the cuban treefrog Hyla septentrionalis were studied qualitatively and quantitatively. In the superficial layers of the optic tectum three main classes of afferent optic nerve fibers could be distinguished, class-1*, class-3 and class-4 neurons. Hyla displays a more "classical" organization of the receptive fields in class-1* neurons and a weaker inhibitory surround and lower thresholds with respect to velocity, size and contrast than in Bufo or ranid frogs. The functions for velocity, contrast, size of stimulus, neuronal adaptation and adaptation to background luminance level were evaluated. Experiments with monochromatic light spots are mentioned. The results are compared to those of other amphibia and the diversity of the retinal ganglion cell properties in the different species is stressed as an important factor in the processing of the various ganglion cell types at the tectal level.

Mathematical model and simulation of retina and tectum opticum of lower vertebrates

The processing of information within the retino-tectal visual system of amphibians is decomposed into five major operational stages, three of them taking place in the retina and two in the optic tectum. The stages in the retina involve (i) a spatially local high-pass filtering in connection to the perception of moving objects, (ii) separation of the receptor activity into ON- and OFF-channels regarding the distinction of objects on both light and dark backgrounds, (iii) spatial integration via near excitation and far-reaching inhibition. Variation of the spatial range of excitation and inhibition allows to account for typical activities observed in a variety of classes of retina ganglion cells. Mathematical description of the operations in the tectum opticum include (i) spatial summation of retinal output (mainly of class-2 and class-3 retina ganglion cells), and (ii) direct or indirect lateral inhibition between tectal cells. In the computer simulation, first the output of the mathematical retina model is computed which, then, is used as the input to the tectum model. The full spatio-temporal dynamics is taken into account. The simulations show that different combinations of strength of lateral inhibition on the one side and the response properties of the retina ganglion cells on the other side determine the response properties of tectal cell types involved in object recognition.

The velocity function of ipsilateral visual units in the frog optic tectum: comparison with retinal ganglion cells

Ipsilateral retino-tecto-isthmo-tectal units in frogs were commonly classified in two groups (I1 and I2) according to their functional properties. Quantitative measurements of their discharge in response to automatically moved targets are described below for the first time. Results show that the velocity function of these units can be expressed by a power function respectively similar to that described earlier (see ref. 6) for R2 and R3 retinal ganglion cells. The existence of mixed 'sustained' units is also discussed.

The antidromic activation of tectal neurons by electrical stimuli applied to the caudal medulla oblongata in the toad, Bufo bufo L

In order to specify the tectal projection to the bulbar/spinal regions, the antidromic responses of the physiologically identified tectal neurons as well as the gross antidromic field responses in the optic tectum to electrical stimuli applied to the caudal medulla were examined in the paralyzed common toad, Bufo bufo. The antidromic field potential was recorded in the optic tectum in response to electrical stimuli applied to the ventral paramedian portion of the contralateral caudal medulla (where the crossed tecto-spinal pathway of Rubinson (1968) and Lázár (1969) runs), but generally not when they were applied to various parts of the ipsilateral caudal medulla. The antidromic field potential was largest at the superficial part of Layer 6 or at the border between Layers 6 and 7 of the optic tectum, indicating that neurons in these layers project to the contralateral caudal medulla. Mapping experiments of the antidromic field potential over the optic tectum showed that the antidromic field potential was recorded mainly in the lateral part of it, indicating that this part of the optic tectum is the main source of projection neurons to the contralateral caudal medulla. Various classes of tectal neurons as well as retinal ganglion neurons were identified from the characteristics of the response properties to moving visual stimuli and the properties of the receptive fields. Of these, the Class T1, T2, T3, T4, T5(1), T5(2), T5(3), and T5(4) tectal neurons were activated antidromically by stimuli applied to the contralateral caudal medulla. Only a limited proportion of the Class T5(1) neurons was activated antidromically by stimuli applied to the ipsilateral caudal medulla. On the other hand, the Class T7 and T8 neurons, as well as the Class R2, R3, and R4 retinal neurons, were not activated antidromically by stimuli applied to the caudal medulla of either side. These results suggest a possibility that these tectal neurons which project to the medullary regions form the substrate of the sensorimotor interfacing and contribute to the initiation or coordination of the visually guided behavior, such as prey-catching.

Binocularly driven neurons in the rostral part of the frog optic tectum

Receptive field (RF) properties of binocular neurons lying in the rostral part of the optic tectum of the frog (Rana esculenta) were studied electrophysiologically using conventional visual stimuli. They were classified into five groups: group 1 neurons have indefinite RF; group 2 neurons are total-field (T6) neurons; group 3 neurons have RFs covering a quadrant of the frontal visual field; group 4 neurons resemble T1(1) and T1(3) subclasses described earlier; and finally group 5 neurons look like small-field binocular neurons and are called T7(B). Moreover, RF disparity measurements conducted in all groups suggest that group 4 neurons support the estimation of binocular distance. This problem is discussed.

A neural model of interactions subserving prey-predator discrimination and size preference in anuran amphibia

The model described is an extension of a previous model of the optic tectum (Arbib & Lara, 1982; Lara, Arbib & Cromarty, 1982; Lara & Arbib, 1982) and takes into consideration anatomical, physiological and behavioral studies in anurans, as well as earlier modelling efforts (Ewert & Von Seelen, 1974; Didday, 1976). Computer simulations were conducted to analyze how interactions among retina, optic tectum and pretectum may give frogs and toads the ability to discriminate between prey and predator stimuli. Results from simulations have allowed us to reproduce empirical observations, to suggest new experiments, and to postulate what neural mechanisms might be involved in some phenomena related to prey-catching orienting behavior, with direction invariance of prey-predator recognition being a consequence of tectal architecture, and size preference and response latency depending on the motivational state of the animal.

A global model of the neural mechanisms responsible for visuomotor coordination in toads

A model of how the nervous system of toads processes visual information to control motor behaviour is proposed. The problem of visuomotor coordination in toads is studied through the integration of two different approaches: a top-down approach through schema theory developed in the studies of cognitive psychology, artificial intelligence and brain theory; and a bottom-up approach through the integration of physiological, anatomical, ethological, and neural modelling. The model proposes that visual information is processed in a parallel distributed way through different brain layers whose interaction defines the proper motor response for that specific situation. It is postulated that visual processing of information is organized into main schemata, which set the goal to be attained and, depending on the specific circumstances of the animal, activates different brain layers; the main schemata may use other schemata to solve a specific subproblem to reach the schemata, and a programme of schema co-ordination. With this model we have simulated how toads plan their route to reach a prey or the route to go away form a predator, depending on the state of their three-dimensional world. The model postulates specific hypotheses that could be tested experimentally on the processing of information in the toad's nervous system.

Selective accumulation of hydroxytryptamines by frog tectal neurones

By means of histofluorescence microscopy, 5,7-dihydroxytryptamine was shown to be taken up by selective populations of brain neurones of the frog, Rana pipiens, following both intracranial administration and in vitro incubation with isolated brain preparations. Presumptive non-aminergic cell bodies of the superficial aspect of tectal lamina 6 exhibited more avid uptake than did putative serotonin perikarya of the raphe complex. Within the tectum, 5,7-dihydroxytryptamine uptake appeared to be restricted to large piriform neurons; in the torus semicircularis, it occurred in a morphologically dissimilar group of scattered cells. The same tectal cell system accumulated 5-hydroxytryptamine and 6-hydroxytryptamine, but not N-acetylserotonin, melatonin, or noradrenaline. 5,7-Dihydroxytryptamine uptake was insensitive to cold or imipramine; however, it was blocked by ouabain at high but not low temperature. At concentrations greater than or equal to 100 microM, 5,7-dihydroxytryptamine-induced fluorescence was sufficiently intense to permit tracing of intratectal dendrites and tectofugal axonal processes projecting to a lateral diencephalic neuropil and an ipsilateral isthmic neuropil. While previous monoamine histofluorescence and immunohistologic studies have not revealed serotonin-containing perikarya in the ranid tectum, our findings demonstrate that lamina 6 piriform projection neurones, presumably lacking indolamine-synthesizing enzymes, possess a striking capability for accumulating hydroxylated tryptamines.

Morphology and location of tectal projection neurons in frogs: a study with HRP and cobalt-filling

Tectal projection neurons were labeled by retrograde transport of horseradish peroxidase (HRP) or cobaltic-lysine. The tracer substances were delivered iontophoretically or by pressure injection or diffusion into various regions of the brain or spinal cord. Histochemical procedures allowed identification of labeled cells projecting to the injected regions. Many neurons were filled with cobaltic-lysine, resulting in a Golgi-like staining. After cobalt injections in the diencephalon most of the labeled cells, identified as small piriform neurons, were located in layer 8 of the tectum. Two types of small piriform neurons were distinguished. Type 1 neurons have flat dendritic arborizations confined to lamina D, while the dendrites of type 2 cells may span all of the superficial tectal strata. In smaller numbers large piriform, pyramidal, and ganglionic cells of the periventricular tectal layers were labeled after diencephalic injections. Rhombencephalic cobalt and HRP injections labeled cells whose axons form the tectobulbospinal tract. The neurons most frequently labeled were large ganglionic cells. Ipsilaterally, the majority of their somata were located in layer 7, and their dendrites arborized mainly in lamina F. Contralaterally, labeled ganglionic cell somata occupied the top of layer 6, and most of their dendritic end-branches entered lamina B. The possible functional significance of this anatomical arrangement is discussed. After tectal cobalt injections the topography of the tectoisthmic projection and the terminals of tectal efferent fibers in the diencephalon and brainstem were observed. It is concluded that the organization of frog tectofugal pathways is very similar to that of mammals.