The Behavior of Animals. Группа авторов

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from toad’s optic tectum reveal monocular T5-type neurons. One type T5.1 is sensitive to extension of feature p. A second type T5.2 is selective in that its activity—according to prey-catching activity (Table 2.5)—increases with extension of p (Figure 2.8 Bp), within limits, but progressively decreases with extension of c (Figure 2.8 Bc) The activity of type T5.2 in response to different configurational objects reflects the probability that an object fits the prey category (Figure 2.8, cf. A, B).

      Recordings from pretectal thalamus reveal various types of TH-type neurons, among them monocular neurons TH3 responsive to extension of c or p and c. All these neurons are integrated in a feature-analyzing network.

      Figure 2.10 “Window hypothesis” of configurational feature analysis in toads. Illustrative schemes of feature-sensitive/selective neurons (symbolized by circles) integrated in a neuronal network (Ewert 1974, 2004). For explanations see text.

      In detail, the evaluation of an object as belonging to the prey category results from convergence of both processing streams on tectal T5.2-neurons that weight feature p by excitatory tectal input and feature c by inhibitory pretectal/thalamic input (Figure 2.10A). Predator evaluation results from convergence of both processing streams on pretectal/thalamic TH4-neurons that are weighing p and c by excitatory pretectal/thalamic and excitatory tectal inputs (Figure 2.10C). We speak of parallel distributed interactive processing of information.

       The size constancy phenomenon

      Common toads evaluate the absolute size of prey binocularly and/or monocularly (Ewert & Gebauer 1973; cit. Ewert 1984). Among configurationally “neutral” square black prey dummies (Figure 2.8As), they prefer an object—at different distances—of about s = 10 mm edge length, generally:

      s = 0.37 w for 5 ≤ w ≤ 26 [mm]; mouth-width w

      Evidence: In pharmacologically immobilized awake toads, T5-type neurons measure objects in degrees of visual angle (Figure 2.8B,s). However, in free-moving toads, T5-type neurons are sensitive to object’s absolute size (Spreckelsen et al. 1995). So, in accordance with that, the features(p,c)-relating-algorithm is traceable in scales of absolute or visual angular size (Figure 2.8 cf. A,B).

       Visuomotor access

      Such a neuron can be examined by recording its activity with an electrode chronically implanted in the tectum of a freely moving toad in response to a prey-like stripe: a strong burst of impulses preceded toad’s tongue-projection at prey (Schürg-Pfeiffer et al. 1993). The same stripe presented in threat configuration elicited little neuronal activity and no prey-catching, probably due to pretectal/thalamic inhibition (see Figure 2.10B).

      Test: If a second electrode—fastened at the skull—delivered an electrolytic lesion to the ipsilateral pretectal thalamus, a moving stripe strongly activated the prey-selective T5.2 neuron and elicited prey-capture regardless of whether the stripe was presented in prey or threat configuration. Pretectal/thalamic lesion (Figure 2.10D) impaired the discrimination between prey and threat both neuronally and behaviorally—hence evidencing linkage between prey-selective neuronal activity and prey-catching behavior (Schürg-Pfeiffer et al. 1993).

      No motor command can be issued when motivation and attention are not appropriate: if a toad was satiated after feeding on mealworms or frightened by some noise by the experimenter, a prey object neither activated T5.2 neurons nor any prey capture.

       Modification of species-specific feature detection by learning

      Snapping a hive-bee, the painful/distasteful incident—conditioned with bee’s appearance—prevents a toad from catching such bees again (Cott 1936).

      Can a toad be trained to catch a threatening stimulus? Usually, toads are frightened by a moving hand. Feeding a toad daily with a mealworm presented in the experimenter’s hand, the toad associated the hand with food and became tame (Brzoska & Schneider 1978). Approximately after a fortnight of hand-feeding—once a day—the moving hand alone released snapping and, generalizing, a moving large square or threat-like stripe was included to the toad’s prey category. The species-specific prey recognition was extended by individual experience—in terms of classic ethology, a “modified IRM” developed (Ewert 1997; see also Further Reading, Movie A3).

      How can this modification be explained? Recalling the “window hypothesis,” we suggest in the telencephalon a neural structure that—during hand-feeding training—becomes sensitized to the contiguous presentation of prey and threat signals. In the learning phase, the sensitized neurons inhibit threat detection, which leads to a sort of “disinhibition” in prey detection.

      How was this checked out? The study passed three steps: Step 1: a toad—left eye covered—was trained by hand-feeding. Step 2: during prey-catching of the trained toad—eyes uncovered—toward a moving large square, the 14C-2DG-uptake rose in the posterior ventromedial pallium of the left telencephalon (Figure 2.9 Ba, MP). This structure obtains visual information from the right eye (uncovered during training) and projects to thalamic/pretectal regions. This telencephalic pallial structure is homologous to the mammalian hippocampus known to be involved in learning. Step 3: after lesions to that pallial structure, the training effects disappeared and the property of species-specific prey recognition—classic ethologically speaking, the “IRM”—reappeared (Ewert et al. 1994).

      Summarizing, prey-catching releasing systems in toads contain—inter alia—midbrain neurons with species-specific prey-selective characteristics. Ontogenetically speaking, configurational prey selection is present after toad’s metamorphosis in the context of aquatic-to-terrestrial transition.

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