Rapid Facilitation of Ultrasound Production and Lordosis in Female Hamsters by Horizontal Cuts Between the Septum and Preoptic Area

Horizontal cuts between the septum and preoptic area (anterior roof deafferentation, or ARD) dramatically affect sexual behavior, and in ways that could explain a variety of differences across behavioral categories (precopulatory, copulatory), species, and the sexes. Yet little is known about how these effects develop. Such information would be useful generally and could be pivotal in clarifying the mechanism for ultrasonic vocalization in female hamsters. Ultrasounds serve these animals as precopulatory signals that can attract males and help initiate mating. Their rates can be increased by either ARD or lesions of the ventromedial hypothalamus (VMN). If these effects are independent, they would require a mechanism that includes multiple structures and pathways within the forebrain and hypothalamus. However, it currently is not clear if they are independent: VMN lesions could affect vocalization by causing incidental damage to the same fibers targeted by ARD. Fortunately, past studies of VMN lesions have described a response with a very distinctive time course. This raises the possibility of assessing the independence of the two lesion effects by describing just the development of the response to ARD. To accomplish this, female hamsters were observed for levels of ultrasound production and lordosis before and after control surgery or ARD. As expected, both behaviors were facilitated by these cuts. Further, these effects began to appear by two days after surgery and were fully developed by six days. These results extend previous descriptions of the ARD effect by describing its development and time course. In turn, the rapid responses to ARD suggest that these cuts trigger disinhibitory changes in pathways that differ from those affected by VMN lesions. 2013

Oxotremorine Delays and Scopolamine Accelerates Sexual Exhaustion When Applied to the Preoptic Area in Male Hamsters

Acetylcholine (ACh) has not been tested for a role in the development of sexual exhaustion in males. However, male hamsters receiving infusions into the medial preoptic area (MPOA) of the muscarinic agonist oxotremorine (OXO) or antagonist scopolamine (SCO) show changes in the postejaculatory interval, one of the measures that changes most consistently as exhaustion approaches. In addition, central SCO treatments cause changes in the patterning of intromissions that resemble those signaling exhaustion. To extend these observations and more thoroughly test the dependence of sexual exhaustion on ACh, male hamsters received MPOA treatments of OXO, SCO or the combination of the two before mating to exhaustion. Relative to placebo, OXO infusions caused small but consistent increases in ejaculation frequency and long intromission latency, delaying the appearance of exhaustion. Scopolamine treatments did the reverse, dramatically accelerating the development of exhaustion. Consistent with and possibly responsible for these changes were effects on the quality of performance prior to exhaustion. These included differences in overall copulatory efficiency (e.g., ejaculations/intromission), which was increased by OXO and decreased by SCO. They also extended to several standard measures of copulatory behavior, including intromission frequency, ejaculation latency and the postejaculatory interval: Most of these were increased by SCO and decreased by OXO. Finally, whereas most or all effects of OXO were counteracted by SCO, most or all of the responses to SCO resisted change by added OXO. This asymmetry in the responses to combined treatment raises the possibility that the effects of these drugs on sexual exhaustion and other elements of male behavior are mediated by distinct muscarinic receptors. Copyright 2013 Elsevier Inc. All rights reserved.

THE RESONATE-AND-FIRE NEURON: TIME DEPENDENT AND FREQUENCY SELECTIVE NEURONS IN NEURAL NETWORKS

The means through which the nervous system perceives its environment is one of the most fascinating questions in contemporary science. Our endeavors to comprehend the principles of neural science provide an instance of how biological processes may inspire novel methods in mathematical modeling and engineering. The application ofmathematical models towards understanding neural signals and systems represents a vibrant field of research that has spanned over half a century. During this period, multiple approaches to neuronal modeling have been adopted, and each approach is adept at elucidating a specific aspect of nervous system function. Thus while bio-physical models have strived to comprehend the dynamics of actual physical processes occurring within a nerve cell, the phenomenological approach has conceived models that relate the ionic properties of nerve cells to transitions in neural activity. Further-more, the field of neural networks has endeavored to explore how distributed parallel processing systems may become capable of storing memory. Through this project, we strive to explore how some of the insights gained from biophysical neuronal modeling may be incorporated within the field of neural net-works. We specifically study the capabilities of a simple neural model, the Resonate-and-Fire (RAF) neuron, whose derivation is inspired by biophysical neural modeling. While reflecting further biological plausibility, the RAF neuron is also analytically tractable, and thus may be implemented within neural networks. In the following thesis, we provide a brief overview of the different approaches that have been adopted towards comprehending the properties of nerve cells, along with the framework under which our specific neuron model relates to the field of neuronal modeling. Subsequently, we explore some of the time-dependent neurocomputational capabilities of the RAF neuron, and we utilize the model to classify logic gates, and solve the classic XOR problem. Finally we explore how the resonate-and-fire neuron may be implemented within neural networks, and how such a network could be adapted through the temporal backpropagation algorithm.