Here we present a real-time model of fear conditioning in which the functional anatomy and neurophysiology of the lateral amygdala and perirhinal cortex provide a mechanism for temporal learning during Pavlovian conditioning. The model uses realistic neuronal and circuit dynamics to map time onto space and relies on a conventional Hebbian learning rule that requires strict temporal contiguity for synaptic modification. The input-output relationships of the model neurons simulate our physiological recordings with respect to latency to fIre, firing frequency, and accommodation tendency. Chains of these neurons form a spectrum of activity windows delayed by various amounts from the conditioned stimulus onset. Simulations reveal that learning occurs only when the conditioned and unconditioned stimuli are explicitly paired, that the interstimulus interval (lSn is accurately learned over a time range from 0.5 to 16 sec, and that low-frequency noise causes the accuracy of temporal learning to decrease as the lSI increases, in accordance with a Weber-type law.
The eyeblink reflex is one of the most extensively studied behaviors in mammals. The active downward force that causes lid closure is controlled by the orbicularis oculi (OO) muscle. To augment our studies on the neurophysiology and plasticity of the rat eyeblink circuit, here we present the first anatomical paper to focus exclusively on identifying and characterizing the OO motoneurons of the rat facial motor nucleus (FMN). One thousand and twenty-nine cells from four animals were retrogradely labeled by injecting the OO muscle with HRP and were imaged conventionally. One hundred and one cells from five animals were labeled by injecting the OO muscle with a 3000 mol. wt. fluorescent dextran and were imaged using confocal laser scanning microscopy (CLSM). The latter method resulted in little tissue shrinkage, bright labeling, and excellent resolution of the soma, dendrites, and axon. Furthermore, it is a histologically simple alternative to HRP for retrograde labeling from the neuromuscular junction. Both methods revealed that the OO motoneurons were distributed over the entire length of the FMN, that they were concentrated along the dorsal crest of the nucleus, and that they were less numerous in the extreme rostral and caudal regions. As measured using the CLSM method, cell body areas were highly variable, ranging from 317 to 1500 microm2, but there was no size gradient along the rostrocaudal extent of the FMN. The neurons exhibited seven primary dendrites on average, which gave rise to bifurcating and even trifurcating secondary dendrites. Using the HRP method, the estimated area of OO motoneurons ranged from 161 to 1381 microm2. The combined methods furnished a detailed characterization of the number, spatial distribution, and morphology of rat OO motoneurons. Moreover, these methods provide a useful way to analyze the circuitry that modulates the rat eyeblink.
Neuronal structure-function relationships were studied in rat brain slices containing the perirhinal cortex (PR) and immediately adjacent lateral nucleus of the amygdala (ALa). Using video microscopy, whole-cell recordings were made from visually preselected neurons that were labeled with biocytin for subsequent anatomical reconstructions. Most cells were 1 of 4 primary neurophysiological types: fast-spiking (FS), regular-spiking (RS), late-spiking (LS), and burst-spiking (BS). Fast-spiking neurons (small somata) were found throughout PR; RS neurons (stellates and pyramids) were present from layer II/III through VI of PR; BS neurons (large pyramids with thick nonbifurcating apical dendrites) were found in layer Va of PR; and LS neurons (stellates, small pyramids, and cone cells) were encountered in layers II/III and VI of PR. One subpopulation of LS neurons (small pyramids) was found in layer II/III; another (cone cells) was found in clusters spanning layer VI through the lateral portion of ALa. Layer Va also contained large RS pyramidal neurons whose axons were seen traveling in the external capsule, but not entering the ALa. Conversely, the axons of large RS pyramidal neurons in layer Vb typically projected deep into the ALa. The four primary firing patterns were present in ALa, which also contained irregular-spiking, slow-charging, and single-spiking cells. Spontaneous synaptic currents differed markedly among cell types and layers. There was excellent agreement between somatic areas measured from video images of living neurons and somatic areas from the same neurons following fixation. Representative montages, which combined the cellular neuroanatomy and neurophysiology, suggested a circuit-level organization that helps elucidate information processing through the PR-ALa region.
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