Thesis (M.S.)--State University of New York at Binghamton, Department of Systems Science and Industrial Engineering, Thomas J. Watson School of Engineering and Applied Science, 2007. / Includes bibliographical references.

Thesis (M.A.) in Mathematics--University of Maine, 2004. / Includes vita. Includes bibliographical references (leaves 40-42).

No description available.

Precise point-to-point connectivity is the basis of ordered maps of the visual field in the brain. One point in the visual field is represented at one locus in the dLGN and one locus in primary visual cortex. A fundamental problem in the development of most sensory systems is the creation of the topographic projections which underlie these maps. Mechanisms ranging from ordered ingrowth of fibres, through chemical guidance of axons to sculpting of the map from an early exuberant input have been proposed. However, we know little about how ordered maps are created beyond the first relay. What we do know is that a topological mismatch requires the exchange of neighbours in the geniculo-cortical projection and that manipulating the input to the primary relay can affect the geniculo-cortical topography. Taking advantage of the immaturity of the newborn hamster’s visual system, I studied the generation of an ordered map in primary visual cortex during the time of target innervation in normal and manipulated animals. I also investigated the patterning of neuronal activity prior to natural eye-opening. Paired injections of retrograde fluorescent tracers into visual cortex reveal that geniculate fibres are highly disordered at the time of invasion of the cortical plate. Topography in the geniculo-cortical projection emerges out of an unordered projection to area 17 in the first postnatal week. Furthermore, I show that manipulating the peripheral input can alter the topographic map which arises out of the early scatter. Removal of one eye at birth appears to slow the process of geniculo-cortical map formation ipsilateral to the remaining eye and at the end of the second postnatal week, a double projection between thalamus and cortex has formed. If retinal activity is blocked during this time, this double projection does not emerge. The results implicate retinal activity as the signal that induces the development of a different topographic order in the geniculo-cortical projection. It is generally believed that visual experience can influence development only after eye-opening. However, the final part of my thesis shows that neurons in the developing visual cortex of the ferret can not only be visually driven at least 10 days before natural eye-opening, but are also selective for differently oriented gratings presented <i>through the closed eye-lid</i>. Thus, visually-driven neuronal activity could influence development much earlier than previously assumed in many developmental studies.

Reinforcement learning algorithms comprise a class of learning algorithms for neural networks. Reinforcement learning is distinguished from other classes by the type of problems that it is intended to solve. It is used for learning input-output mappings where the desired outputs are not known and only a scalar reinforcement value is available. Primary Reinforcement Learning (PRL) is a core component of the most actively researched form of reinforcement learning. The issues surrounding the convergence characteristics of PRL are considered in this thesis. There have been no convergence proofs for any kind of networks learning under PRL. A convergence theorem is proved in this thesis, showing that under some conditions, a particular reinforcement learning algorithm, the A[formula omitted] algorithm, will train a single-layer network correctly. The theorem is demonstrated with a series of simulations. A new PRL algorithm is proposed to deal with the training of multiple layer, binary output networks with continuous inputs. This is a more difficult learning problem than with binary inputs. The new algorithm is shown to be able to successfully train a network with multiple outputs when the environment conforms to the conditions of the convergence theorem for a single-layer network. / Applied Science, Faculty of / Electrical and Computer Engineering, Department of / Graduate

The effects of the inhibitory neurotransmitters gammaamino butyric acid (GABA) and glycine were characterized on spontaneous activity recorded from mouse spinal cord cultures. The GABA concentration which completely inhibited burst activity was chosen as a quantifiable measure of culture drug response and was used to 1) assess interculture and intraculture variability, 2) determine the influence of culture age and initial activity on GABA responses, and 3) compare the GABA responses between networks obtained from whole spinal cord and ventral half spinal cord. Results showed that 1) no significant variability existed either within or among cultures, 2) the initial culture activity directly affected GABA responses, 3) the culture age had no effect on GABA responses, and 4) there was no significant difference in GABA responses between the two spinal cord tissues.

Understanding the mapping between stimulus, behavior, and neural responses is vital for understanding sensory, motor, and general neural processing. We can examine this relationship through the complementary methods of encoding (predicting neural responses given the stimulus) and decoding (reconstructing the stimulus given the neural responses). The work presented in this thesis proposes, evaluates, and analyzes several nonlinear approaches for encoding and decoding that leverage recent advances in machine learning to achieve better accuracy. We first present and analyze a recurrent neural network encoding model to predict retinal ganglion cell responses to natural scenes, followed by a decoding approach that uses neural networks for approximate Bayesian decoding of natural images from these retinal cells. Finally, we present a probabilistic framework to distill behavioral videos into useful low-dimensional variables and to decode this behavior from neural activity.

Neural circuits within the hippocampus, a mammalian brain structure critical for both the encoding and consolidation of episodic memories, are composed of intimately connected excitatory pyramidal cells and inhibitory interneurons. While decades of research have focused on how the in vivo physiological properties of pyramidal cells may support these cognitive processes, and the anatomical and physiological properties of interneurons have been extensively studied in vitro, relatively little is known about how the in vivo activity patterns of interneurons support memory encoding and consolidation. Here, I have utilized Acousto-Optic Deflection (AOD)-based two-photon calcium imaging and post-hoc immunohistochemistry to perform large-scale recordings of molecularly-defined interneuron subtypes, within both CA1 and CA3, during various behavioral tasks and states. I conclude that the subtype-specific dynamics of inhibitory circuits within the hippocampus are critical in supporting its role in memory encoding and consolidation.

Circadian clocks are endogenous timekeeping mechanisms, which give the sense of time-of-day to most organisms. To help the organisms to adapt to daily fluctuations in the environment, circadian clocks are reset by various environmental cues. Light is one of the cardinal environmental cues that synchronize circadian clocks. In a standard 12:12 light-dark condition, Drosophila exhibits bimodal activity pattern in the anticipation of lights-on and -off. The morning peak of activity is generated by Pigment Dispersing Factor (PDF) positive small ventro-lateral neurons (sLNvs) called the M-oscillators, while the evening peak of activity is generated by the dorsolateral neurons (LNds) and the 5th sLNv together referred to as the E-oscillators. Since the Drosophila circadian clock is extremely sensitive to light, a brief light exposure can robustly shift the phase of circadian behavior. The model for this resetting posits that circadian photoreception is cell-autonomous: the photoreceptor CRYPTOCHROME (CRY) senses light, binds to TIMELESS (TIM) and promotes its degradation via JETLAG (JET). However, it was more recently proposed that interactions between circadian neurons are also required for phase resetting. The goal of my thesis was to map the neuronal circuitry controlling circadian photoreception in Drosophila. In the first half of my dissertation (Chapter II), using a novel severe jetset mutant and JET RNAi, we identified M- and E-oscillators as critical light sensing neurons. We also found that JET functions cell-autonomously to promote TIM degradation in M- and E-oscillators, and non-autonomously in E-oscillators when expressed in M-oscillators. However, JET expression was required in both groups of neurons to phase-shift locomotor rhythms in response to light input. Thus M- and E-oscillators cooperate to shift circadian behavior in response to photic cues. In chapter III, unexpectedly, we found that light can delay or advance circadian behavior even when the M- or E-oscillators are genetically ablated or incapacitated suggesting that behavioral phase shifts in response to light are largely a consequence of cell autonomous light detection by CRY and governed by the molecular properties of the pacemaker. Nevertheless, neural interactions are integral in modulating light responses. The M-oscillator neurotransmitter, PDF was important in coordinating M- and E-oscillators for circadian behavioral response to light input. Moreover, we uncover a potential role for a subset of Dorsal neurons in control of phase advances specifically. Hence, neural modulation of cell autonomous light detection contributes to plasticity of circadian behavior and facilitates its adaptation to environmental inputs.

The hippocampus, a brain region that is part of the limbic system in the medial temporal lobe, is critical to episodic memory, or the memory of autobiographical events. The hippocampus plays an important role in the consolidation of information from short-term memory into more permanent long-term memory and spatial memory which enables navigation. Hippocampal damage in humans has been linked to memory loss, such as in Alzheimer’s disease and other dementias, as well as in amnesia such as in the case of patient H.M. The role of the hippocampus has been well characterized in humans but is less understood in rodents due to contradictory findings. While rodents have served well as model organisms in developing our understanding of the cognitive map that is critical for spatial navigation, there has been substantial contention over the degree to which the rodent hippocampus supports non-spatial memory, specifically the memory for items or objects previously encountered. The overall objective of this research is to gain a better understanding of how neuronal circuits involving the hippocampus and perirhinal cortex function to support object memory in the brain. Chemogenetic technologies such as DREADDs (designer receptor exclusively activated by designer drugs) have proven to be effective tools in remote manipulation of neuronal activity. First, a series of behavioral tasks was used to validate the effects of DREADD inactivation in the CA1 region of dorsal hippocampus in C57BL/6J male mice. DREADD inhibition resulted in significant impairment in the spontaneous object recognition (SOR) task and of spatial memory in the Morris water maze. In conjunction, mice were implanted with bilateral perirhinal cortex guide cannulae to allow for temporary muscimol inactivation during distinct time points in the SOR task to further investigate the nature of its relationship with the hippocampus. The results reveal an unexpected role for the perirhinal cortex in the retrieval of strong object memory. Finally, Arc mRNA expression was quantified in CA1 of dorsal hippocampus and perirhinal cortex following both weak and strong object memory formation. The results indicate that the perirhinal cortex and hippocampus have distinct, yet complementary roles in object recognition memory and that distinction is gated by memory strength. Understanding the neural mechanisms supporting the weak-strong object memory distinction in mice is an important step not only in validating mice as a suitable model system to study episodic memory in humans, but also in developing treatments and understanding the underlying causes of diseases affecting long-term memory such as Alzheimer’s disease. / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2020. / FAU Electronic Theses and Dissertations Collection