The role of the tectal column in facilitation of amphibian prey- catching behavior: a neural model

Lara, Rolando; Ma, Arbib; Cromarty, AS

doi:10.1523/jneurosci.02-04-00521.1982

Cited by 58 publications

(12 citation statements)

References 13 publications

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“…A compartmental organization is also characteristic of the superior colliculus (Miguel-Hidalgo et al, 1989;Illing, 1992). These demonstrations of a repeated structure are consistent with the idea that visual information is processed in vertical units of cell assemblies called modules or columns (Hubel andWiesel, 1963, 1977;Mountcastle, 1978;Lara et al, 1982;Purves et al, 1992). Each column is thought to contain neural machinery that processes information in a manner that is nearly identical to every other column in the structure.…”

supporting

confidence: 73%

Non‐uniform distribution of cellular phenotypes in the optic tectum of the leopard frog

Debski

Liu

Chapman

1995

J of Comparative Neurology

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Regional specialization in the retina have been described in a number of species. We have investigated whether such specializations can be found in the optic tectum, an area of the brain responsible for the processing of visual information. Using the tectum of Rana pipiens, we have examined the distribution of three different cell types defined on the basis of their immunoreactivity to somatostatin, substance P, and serotonin antibodies. These three immunoreactive cell populations had differing, nonuniform distributions in the optic tectum. Somatostatin-line immunoreactive cells were largely restricted to the caudal one-third of the tectum, whereas both substance P-like immunoreactive (SP-ir) and serotonin-like immunoreactive (5-HT-ir) cells were found unequally represented throughout the tectum. The percentage of SP-ir cells decreased significantly in both the posterior and medial directions from its high in the anterior lateral tectum. Although serotonin-like immunoreactivity was also greatest in the lateral tectum and decreased significantly medially, it was largely constant in the anterior-to-posterior dimension. The populations of SP-ir and 5-HT-ir cells were nonoverlapping. Our results suggest that information may be processed differently in different regions of the optic tectum.

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supporting

confidence: 73%

Non‐uniform distribution of cellular phenotypes in the optic tectum of the leopard frog

Debski

Liu

Chapman

1995

J of Comparative Neurology

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“…In the previous tectal column model (Lara et al 1982;Cervantes-Perez et al 1985), small pear cells received R2 inputs through the glomerulus dendrites, as well as SN inhibition. The output of SP projects on the large pear cell and the pyramidal cell in the same column.…”

Section: Discussionmentioning

confidence: 99%

“…According to the tectal column model (Lara et al 1982;Cervantes-Perez et al 1985) which was abstracted 257 from the anatomy of the anuran tectum (Sz~kely and Lfizhr 1976), each column comprises a pyramidal cell, PY, as the sole output cell, a large pear-shaped cell, LP, a small pear-shaped cell, SP, and a stellate inhibitory interneuron, SN. Tectum is modeled by an array of locally connected columns.…”

Section: Tectal Relaymentioning

confidence: 99%

How does the toad's visual system discriminate different worm-like stimuli?

Wang

Arbib

1991

Biol. Cybern.

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Behavioral experiments show that toads exhibit stimulus- and locus-specific habituation. Different worm-like stimuli that toads can discriminate at a certain visual location form a dishabituation hierarchy. What is the neural mechanism which underlies these behaviors? This paper proposes that the toad discriminates visual objects based on temporal responses, and that discrimination is reflected in different average neuronal firing rates at some higher visual center, hypothetically anterior thalamus. This theory is developed through a large-scale neural simulation which includes retina, tectum and anterior thalamus. The neural model based on this theory predicts that retinal R2 cells play a primary role in the discrimination via tectal small pear cells (SP) and R3 cells refine the feature analysis by inhibition. The simulation demonstrates that the retinal response to the trailing edge of a stimulus is as crucial for pattern discrimination as the response to the leading edge. The new dishabituation hierarchies predicted by this model by reversing contrast and shrinking stimulus size need to be tested experimentally.

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“…Following the conventions of Lara et al (1982), the membrane potential of a neuron is represented in lower case while firing rate is represented in upper case. The firing rate of all neurons is related to the membrane potential by a transfer function: F(x) = max(x,O).…”

Section: The Response Of Retinal Ganglion (Hg) Cells Is Generated By mentioning

confidence: 99%

The toad optic tectum as a recurrent on-center off-surround neural net with quenching threshold

Betts

1988

IEEE International Conference on Neural Networks

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Recurrent on-center off-surround neural nets with quenching thresholds provide a model for memory in adaptive pattern recognition. Recurrent excitation implements the memory while the quenching threshold determines what features are stored. The optic tectum is one of the toad's main visual processing centers and is involved in recognition of prey and mates. It has memory as demonstrated by facilitation of preycatching behavior following two subthreshold presentations of prey stimuli and its anatomy and physiology suggest that i t implements a recurrent on-center off-surround neural net. T 5 tectal neurons have been divided into two subclasses: "5.1 may be involved in mate recognition during breeding season while T5.2 are regarded as prey recognizers. A recent model suggests t h a t prey and mates are part of the same stimulus continuum and that T5 neurons can be modified from one subclass to another by thalamicpretectal modulatory influences. We postulate that these influences modulate a quenching threshold and that, by selectively modulating two classes of retinal inputs to the tectum which have different response characteristics, the quenching threshold determines not only how many but what kinds of features are stored in memory. In this manner, the quenching threshold can implement the transition of T5 neurons from prey to mate recognizers. We model the tectum in these terms and demonstrate the transition of T 5 neurons froni prey t40 mate recognizers. It is hypothesized, on the basis of this model, that retinal inputs to the tectum combine with two types of tectal neurons to form a high resolution feature extraction device with memory and that T5 neurons "sample" this device in order to generate efferent commands.

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The role of the tectal column in facilitation of amphibian prey- catching behavior: a neural model

Cited by 58 publications

References 13 publications

Non‐uniform distribution of cellular phenotypes in the optic tectum of the leopard frog

Non‐uniform distribution of cellular phenotypes in the optic tectum of the leopard frog

How does the toad's visual system discriminate different worm-like stimuli?

The toad optic tectum as a recurrent on-center off-surround neural net with quenching threshold

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