A Neural Model of Visually Guided Steering, Obstacle Avoidance, and Route Selection

A neural model is developed to explain how humans can approach a goal object on foot while steering around obstacles to avoid collisions in a cluttered environment. The model uses optic flow from a 3D virtual reality environment to determine the position of objects based on motion discotinuities, and computes heading direction, or the direction of self-motion, from global optic flow. The cortical representation of heading interacts with the representations of a goal and obstacles such that the goal acts as an attractor of heading, while obstacles act as repellers. In addition the model maintains fixation on the goal object by generating smooth pursuit eye movements. Eye rotations can distort the optic flow field, complicating heading perception, and the model uses extraretinal signals to correct for this distortion and accurately represent heading. The model explains how motion processing mechanisms in cortical areas MT, MST, and VIP can be used to guide steering. The model quantitatively simulates human psychophysical data about visually-guided steering, obstacle avoidance, and route selection.Air Force Office of Scientific Research (F4960-01-1-0397); National Geospatial-Intelligence Agency (NMA201-01-1-2016); National Science Foundation (NSF SBE-0354378); Office of Naval Research (N00014-01-1-0624

A Neural Model of Visually Guided Steering, Obstacle Avoidance, and Route Selection

A neural model is developed to explain how humans can approach a goal object on foot while steering around obstacles to avoid collisions in a cluttered environment. The model uses optic flow from a 3D virtual reality environment to determine the position of objects based on motion discontinuities, and computes heading direction, or the direction of self-motion, from global optic flow. The cortical representation of heading interacts with the representations of a goal and obstacles such that the goal acts as an attractor of heading, while obstacles act as repellers. In addition the model maintains fixation on the goal object by generating smooth pursuit eye movements. Eye rotations can distort the optic flow field, complicating heading perception, and the model uses extraretinal signals to correct for this distortion and accurately represent heading. The model explains how motion processing mechanisms in cortical areas MT, MST, and posterior parietal cortex can be used to guide steering. The model quantitatively simulates human psychophysical data about visually-guided steering, obstacle avoidance, and route selection.Air Force Office of Scientific Research (F4960-01-1-0397); National Geospatial-Intelligence Agency (NMA201-01-1-2016); National Science Foundation (SBE-0354378); Office of Naval Research (N00014-01-1-0624

Recognition of 3-D Objects from Multiple 2-D Views by a Self-Organizing Neural Architecture

The recognition of 3-D objects from sequences of their 2-D views is modeled by a neural architecture, called VIEWNET that uses View Information Encoded With NETworks. VIEWNET illustrates how several types of noise and varialbility in image data can be progressively removed while incornplcte image features are restored and invariant features are discovered using an appropriately designed cascade of processing stages. VIEWNET first processes 2-D views of 3-D objects using the CORT-X 2 filter, which discounts the illuminant, regularizes and completes figural boundaries, and removes noise from the images. Boundary regularization and cornpletion are achieved by the same mechanisms that suppress image noise. A log-polar transform is taken with respect to the centroid of the resulting figure and then re-centered to achieve 2-D scale and rotation invariance. The invariant images are coarse coded to further reduce noise, reduce foreshortening effects, and increase generalization. These compressed codes are input into a supervised learning system based on the fuzzy ARTMAP algorithm. Recognition categories of 2-D views are learned before evidence from sequences of 2-D view categories is accumulated to improve object recognition. Recognition is studied with noisy and clean images using slow and fast learning. VIEWNET is demonstrated on an MIT Lincoln Laboratory database of 2-D views of jet aircraft with and without additive noise. A recognition rate of 90% is achieved with one 2-D view category and of 98.5% correct with three 2-D view categories.National Science Foundation (IRI 90-24877); Office of Naval Research (N00014-91-J-1309, N00014-91-J-4100, N00014-92-J-0499); Air Force Office of Scientific Research (F9620-92-J-0499, 90-0083

Are Muslims the New Catholics? Europe’s Headscarf Laws in Comparative Historical Perspective

In this paper a biologically-inspired model for partly occluded patterns is proposed. The model is based on the hypothesis that in human visual system occluding patterns play a key role in recognition as well as in reconstructing internal representation for a pattern’s occluding parts. The proposed model is realized with a bidirectional hierarchical neural network. In this network top-down cues, generated by direct connections from the lower to higher levels of hierarchy, interact with the bottom-up information, generated from the un-occluded parts, to recognize occluded patterns. Moreover, positional cues of the occluded as well as occluding patterns, that are computed separately but in the same network, modulate the top-down and bottom-up processing to reconstruct the occluded patterns. Simulation results support the presented hypothesis as well as effectiveness of the model in providing a solution to recognition of occluded patterns. The behavior of the model is in accordance to the known human behavior on the occluded patterns

Tree indiscernibilities, revisited

We give definitions that distinguish between two notions of indiscernibility for a set \{a_\eta \mid \eta \in \W\} that saw original use in \cite{sh90}, which we name \textit{\s-} and \textit{\n-indiscernibility}. Using these definitions and detailed proofs, we prove \s- and \n-modeling theorems and give applications of these theorems. In particular, we verify a step in the argument that TP is equivalent to TP$_1$ or TP$_2$ that has not seen explication in the literature. In the Appendix, we exposit the proofs of \citep[{App. 2.6, 2.7}]{sh90}, expanding on the details.Comment: submitte

Yalta, a tripartite negotation to form the post-war world order: planning for the conference, the big three's strategies

British influence on the diplomacy of WWII, as it relates to postwar planning, is underappreciated. This work explores how the use of astute tactical maneuvering allowed Winston Churchill and Anthony Eden to impact the development of the post-war world in a greater degree than is typically portrayed in the narratives of the war. Detailing how the study of business negotiations can provide new insights into diplomatic history, Yalta exposes Britain’s impact on the creation of the post-war order through analyzing the diplomacy of WWII as a negotiation. To depict WWII post-war planning diplomacy as a negotiation means that the Yalta Conference of 1945 must be the focal point of said diplomacy with all the negotiations either flowing to or from the conference. This analysis reveals that Britain harnessed the natural momentum of the negotiation process to create bilateral understandings that protected or advanced their interests in ways that should not have been afforded the weakest party in the Grand Alliance. By pursuing solutions to the major wartime issues first and most stridently through the use of age-old British diplomatic tactics, they were able to enter into understandings with another member of the Grand Alliance prior to the tripartite conferences. Creating bilateral understandings with the Americans on the direction of military operations and the Soviets over the European settlement produced the conditions under which the tripartite negotiations transpired. Options available to the excluded party were thus limited, allowing for outcomes that aligned more favorably to British interests. A synthesis of diplomatic documents, diaries, and memoirs with historical writings as well as research on business and international negotiations brings to life the diplomatic encounters that led to the creation of the post-war order. To provide the reader a basis for analysis of wartime diplomacy, this work is broken down into two parts. Part I focuses on the strategies created for Yalta. Part II (future doctoral dissertation) will use these strategies to evaluate the performances of each party. Combined the two parts expose that British diplomatic maneuverings is an undervalued aspect of wartime diplomacy

Evaluating High-Dose Rivastigmine Patch in Severe Alzheimer’s Disease: Analyses with Concomitant Memantine Usage as a Factor

Background: ACTION, a 24-week, prospective, randomized, parallel-group, double-blind study in patients with severe Alzheimer’s disease (AD), demonstrated significant efficacy of 13.3 mg/24 h versus 4.6 mg/24 h rivastigmine patch on the Severe Impairment Battery (SIB) and Alzheimer’s Disease Cooperative Study–Activities of Daily Living scale–Severe Impairment Version (ADCS-ADL-SIV). Overall, 61% of the study population received at least 1 dose of concomitant memantine, regardless of dose or duration. This retrospective analysis investigated the effects of concomitant memantine on the efficacy, safety and tolerability of 13.3 mg/24 h versus 4.6 mg/24 h rivastigmine patch. Methods: Patients were stratified according to whether or not they received at least one dose of concomitant memantine during the double-blind phase. Changes from baseline on the SIB and ADCS-ADL-SIV were compared using analysis of covariance (ANCOVA) with treatment, pooled center, memantine usage and treatment-by-memantine as factors, and baseline as a covariate. Safety and tolerability were assessed. Results: Memantine-treated patients were younger than those not receiving memantine (mean 75.9 and 78.8 years, respectively), with a lower screening Mini-Mental State Examination (8.6 and 9.2, respectively). ANCOVA confirmed there was no significant interaction (p>0.1) between study treatment and memantine use on the SIB or ADCS-ADL-SIV. The incidence of adverse events was: 71.4%, 13.3 mg/24 h patch with memantine; 79.7%, 13.3 mg/24 h patch alone; 74.7%, 4.6 mg/24 h patch with memantine; and 71.1%, 4.6 mg/24 h patch alone. Conclusion: These data suggest benefit of 13.3 mg/24 h versus 4.6 mg/24 h rivastigmine patch, regardless of concomitant memantine use. The incidence of adverse events with highdose patch was similar in memantine-treated patients and those not receiving memantine

Deep defects in Cu2ZnSnS4 monograin solar cells

AbstractIn this report Cu2ZnSnS4 (CZTS) monograin layer (MGL) solar cells were studied using admittance spectroscopy (AS) (frequency range 20Hz-10MHz) and temperature dependence of quantum efficiency (QE) curves (T=10K-300K). These studies revealed two deep defect states at EA1= 120 meV and at EA2= 167 meV. The first state was present in different CZTS cells while the second state had somewhat different properties in different cells. The temperature dependence of QE curves showed a shift of the long wavelength edge with increasing temperature by about 110 meV towards higher energy. The possible origin of the observed deep defect states is discussed

Optical properties of high quality Cu2ZnSnSe4 thin films

Cu2ZnSnSe4 thin films, fabricated on bare or molybdenum coated glass substrates by magnetron sputtering and selenisation, were studied by a range of techniques. Photoluminescence spectra reveal an excitonic peak and two phonon replicas of a donor-acceptor pair (DAP) recombination. Its acceptor and donor ionisation energies are 27 and 7 meV, respectively. This demonstrates that high-quality Cu2ZnSnSe4 thin films can be fabricated. An experimental value for the longitudinal optical phonon energy of 28 meV was estimated. The band gap energy of 1.01 eV at room temperature was determined using optical absorption spectr