DIRECT INPUTS TO OFF Α AND G9 GANGLION CELLS FROM AII AMACRINE CELLS IN RABBIT RETINA

In the mammalian retina, AII amacrine cells are essential in the rod pathway for dark-adapted vision. But they also have a “day job”, to provide inhibitory inputs to certain OFF ganglion cells in photopic conditions. This is known as crossover inhibition. Physiological evidence from several different labs implies that AII amacrine cells provide direct input to certain OFF ganglion cells. However, previous EM analysis of the rabbit retina suggests that the dominant output of the AII amacrine cell in sublamina a goes to OFF cone bipolar cells (Strettoi et al., 1992). Two OFF ganglion cell types in the rabbit retina, OFF α and G9, were identified by a combination of morphological criteria such as dendritic field size, dye coupling, mosaic properties and stratification depth. The AII amacrine cells (AIIs) were labeled with an antibody against calretinin and glycine receptors were marked with an antibody against the α1 subunit. This material was analyzed by triple-label confocal microscopy. We found the lobules of AIIs made close contacts at many points along the dendrites of individual OFF α and G9 ganglion cells. At these potential synaptic sites, we also found punctate labeling for the glycine receptor α1 subunit. The presence of a post-synaptic marker such as the α1 glycine receptor at contact points between AII lobules and OFF ganglion cells supports a direct inhibitory input from AIIs. This pathway provides for crossover inhibition in the rabbit retina whereby light onset provides an inhibitory signal to OFF α and G9 ganglion cells. Thus, these two OFF ganglion cell types receive a mixed excitatory and inhibitory drive in response to light stimulation.

Hebbian analysis of the transformation of medial entorhinal grid-cell inputs to hippocampal place fields.

The discovery of grid cells in the medial entorhinal cortex (MEC) permits the characterization of hippocampal computation in much greater detail than previously possible. The present study addresses how an integrate-and-fire unit driven by grid-cell spike trains may transform the multipeaked, spatial firing pattern of grid cells into the single-peaked activity that is typical of hippocampal place cells. Previous studies have shown that in the absence of network interactions, this transformation can succeed only if the place cell receives inputs from grids with overlapping vertices at the location of the place cell's firing field. In our simulations, the selection of these inputs was accomplished by fast Hebbian plasticity alone. The resulting nonlinear process was acutely sensitive to small input variations. Simulations differing only in the exact spike timing of grid cells produced different field locations for the same place cells. Place fields became concentrated in areas that correlated with the initial trajectory of the animal; the introduction of feedback inhibitory cells reduced this bias. These results suggest distinct roles for plasticity of the perforant path synapses and for competition via feedback inhibition in the formation of place fields in a novel environment. Furthermore, they imply that variability in MEC spiking patterns or in the rat's trajectory is sufficient for generating a distinct population code in a novel environment and suggest that recalling this code in a familiar environment involves additional inputs and/or a different mode of operation of the network.

Characterization of neurotransmitter inputs to cholinergic amacrine cells of the rabbit retina: Analysis of ACh release

The cholinergic amacrine cells of the rabbit retinal are the only neurons which accumulate choline and also synthesize acetylcholine (ACh). It is widely accepted that the physiologically evoked release of acetylcholine can be taken as a measure of the activity of the entire cholinergic population. Initially, we examined the possibility that these cells receive excitatory input via glutamate receptors from glutamatergic neurons. Glutamate analogs were found to cause massive ACh release from the rabbit retina. Glutamate was found to activate several different receptor subtypes. Selective glutamate antagonists were used to separate the responses evoked by the different glutamate receptor subtypes. The kainate receptor was determined pharmacologically to be the subtype activated physiologically. Since bipolar cells make direct contact with cholinergic amacrine cells, our results support the hypothesis the bipolar cell neurotransmitter is glutamate. Although NMDA receptors can be activated by NMDA analogs, they are not activated during the physiologically evoked release of ACh. A separate study examined the possibility that L-homocysteate could be the bipolar cell neurotransmitter and the results placed serious constraints on this possibility.^ GABA$\sb{\rm A}$ agonists and antagonists are known to have powerful effects on ACh release from the rabbit retina. By pharmacologically blocking the excitatory input from bipolar cells, we attempted to determine the site of GABA$\sb{\rm A}$ input. Our results suggest that the predominant site of GABA$\sb{\rm A}$ input is onto the bipolar cells presynaptic to cholinergic amacrine cells. In a separate study, we found SR-95531 to be a potent and selective GABA$\sb{\rm A}$ receptor antagonist. In addition, GABA$\sb{\rm B}$ agonists and antagonists were found to have minor or no effects on ACh release. Glycine was also examined, its inhibitory effects were found to be very similar to GABA$\sb{\rm A}$ agonists. In contrast, strychnine was found to increase basal but inhibit light evoked ACh release. Additional results indicated that the predominant site of glycinergic input is onto the presynaptic bipolar cells. Our results suggest a different role for glycine compared to GABA in shaping the light evoked release of ACh from the rabbit retina. ^

Inputs to parasol ganglion cells in the primate retina

Retinal ganglion cells carry signals from the eye to the brain. One of the most common types of ganglion cells is parasol cells. They have larger dendritic trees, somas and axons than other ganglion cells. While much was known about parasol cell light responses, little was known about how these responses are formed. One possibility is that they receive input from a unique set of local circuit neurons that have similar responses. The goal was to identify these presynaptic neurons and study their synaptic connectivity.^ Ganglion cells receive input from bipolar and amacrine cells, but there are numerous subtypes of each. To determine which of these were most likely to provide input to parasol cells, the parasol cells were intracellularly-injected and then various bipolar and amacrine cells were immunolabeled and the tissue analyzed using a confocal microscope. DB3 bipolar cells labeled with antibodies to calbindin made extensive contacts with OFF parasol cells. Antibodies to recover in labeled flat midget bipolar cells (FMB). They made only random contacts with OFF parasol cells, and they are not expected to provide significant input. Type DB2 bipolar cells and FMB cells labeled with antibodies to excitatory amino acid transporter-2 made extensive contacts with OFF parasol cells. This suggests that DB2 bipolar cells are likely to provide input to parasol cells.^ Two types of amacrine cells were labeled in material containing injected parasol cells. Cholinergic amacrine cells were labeled with antibodies to choline acetyltransferase, and they made extensive contacts with ON parasol cells. The large amacrine cells labeled with antibodies to a precursor of cholecystokinin were among the amacrine cells that are tracer-coupled to parasol cells.^ From electron microscopic (EM) analysis, most of the synapses made by DB3 axons were found on varicosities. Some postsynaptic and presynaptic amacrine cells resembled AII amacrine cells. Others were relatively electron-lucent and may be cholinergic amacrine cells or cholecystokinin-containing amacrine cells. Gap junctions were found between neighboring DB3 axons. They occurred whenever two axons contacted each other, and the junctions were as large as the area of contact. In double-label EM experiments, DB3 axons made synapses onto OFF parasol cells. ^

Repeated electrical stimulations as a tool to evoke temporal summation of nociceptive inputs in healthy, non-medicated experimental sheep.

The nociceptive withdrawal reflex (NWR) model is used in animal pain research to quantify nociception. The aim of this study was to evaluate the NWR evoked by repeated stimulations in healthy, non-medicated standing sheep. Repeated electrical stimulations were applied at 5Hz for 2s to the digital nerves of the right thoracic and the pelvic limbs of 25 standing sheep. The stimulation intensities applied were fractions (0.5, 0.6, 0.7, 0.8, 0.9 and 1) of the individual previously determined nociceptive threshold (It) after single stimulation. Surface-electromyographic activity (EMG) was recorded from the deltoid, the femoral biceps or the peroneus tertius muscles. The repeated stimulation threshold (RS It) was reached if at least one stimulus in the train was followed by a reflex with a minimal root-mean-square-amplitude (RMSA) of 20μV. The behavioural reaction following each series of stimulations was scored on a scale from 0 (no reaction) to 5 (vigorous whole-body reaction). For the deltoid muscle, RS It was 2.3mA (1.6-3mA) with a reaction score of 2 (1-2) and at a fraction of 0.6 (0.5-0.8)×It. For the biceps femoris muscle, RS It was 2.9mA (2.6-4mA) with a reaction score of 1 (1-2) at a fraction of and 0.55 (0.4-0.7)×It while for the peroneus tertius muscle RS It was 3mA (2.8-3.5mA) with a reaction score of 1 (1-2) and at a fraction of 0.8 (0.8-0.95)×It. Both, RMSA and reaction scores increased significantly with increasing stimulation intensities in all muscles (p<0.001). The repeated application of electrical stimuli led to temporal summation of nociceptive inputs and therefore a reduction of the stimulus intensity evoking a withdrawal reaction in healthy, standing sheep. Data achieved in this study can now serve as reference for further clinical or experimental applications of the model in this species.

AN EMPIRICAL ESTIMATION OF MEDICAL AND NON-MEDICAL INPUTS IN THE PRODUCTION OF CARDIO-RESPIRATORY PHYSICAL HEALTH STATUS

The purpose of this study was to examine, in the context of an economic model of health production, the relationship between inputs (health influencing activities) and fitness.^ Primary data were collected from 204 employees of a large insurance company at the time of their enrollment in an industrially-based health promotion program. The inputs of production included medical care use, exercise, smoking, drinking, eating, coronary disease history, and obesity. The variables of age, gender and education known to affect the production process were also examined. Two estimates of fitness were used; self-report and a physiologic estimate based on exercise treadmill performance. Ordinary least squares and two-stage least squares regression analyses were used to estimate the fitness production functions.^ In the production of self-reported fitness status the coefficients for the exercise, smoking, eating, and drinking production inputs, and the control variable of gender were statistically significant and possessed theoretically correct signs. In the production of physiologic fitness exercise, smoking and gender were statistically significant. Exercise and gender were theoretically consistent while smoking was not. Results are compared with previous analyses of health production. ^

Weather Inputs to a Warning System for Sooty Blotch and Flyspeck of Apple

Sooty blotch and flyspeck (SBFS) is a mid- to late-season disease of apple. SBFS fungi show up as dark smudges and clusters of black dots on the fruit surface. Since blemished fruit are downgraded, crop losses can exceed 90 percent of the fresh market value.

High Tunnel Production: Inputs, Labor, and Crop Productivity

The 30 × 12 × 96 ft (W × H × L, 2,880 ft 2 ) high tunnel was planted and maintained as part of a high tunnel production budget project funded by a Specialty Crop Grant through the Iowa Department of Agriculture and Land Stewardship. Six growers throughout the state participated in the project with the objectives of creating an enterprise budgeting tool that estimates the costs and revenues associated with producing specific crops in a high tunnel, either as a single crop or multi-crop system. The budgeting tool will estimate the production cost and net profit per square foot in a high tunnel from mono-culture (one crop per tunnel) or multi-cropping, successionplanted systems. This report summarizes the findings from the high tunnel at the ISU Horticulture Research Station. The plantings in this high tunnel were used to collect labor and yield data as well as demonstrate a continuous, multi-cropping production system. A publication containing the enterprise budgeting tool, using this data and data collected from the other six farms, will be available through Iowa State University Extension and Outreach in the fall of 2012.

Trade obstacles, inventory level of inputs, and internationalization of enterprise activities : a comparison between Southeast Asia and Latin America

This paper investigates the impact of trade barriers such as customs clearance, subjective trade obstacles (customs and trade regulations), and inventory of inputs on the internationalization of enterprises in Southeast Asia and Latin America, using the World Bank's enterprise surveys. Empirical results show a negative association between the internationalization of enterprises and subjective trade obstacles, while the impact of subjective trade obstacles is not significant on enterprises already internationalized. An international comparison between Southeast Asia and Latin America suggests that enterprises in Latin America face unfavorable conditions that discourage them from becoming more closely inserted into international production networks.

Categorical Missing Data Imputation Using Fuzzy Neural Networks with Numerical and Categorical Inputs

There are many situations where input feature vectors are incomplete and methods to tackle the problem have been studied for a long time. A commonly used procedure is to replace each missing value with an imputation. This paper presents a method to perform categorical missing data imputation from numerical and categorical variables. The imputations are based on Simpson’s fuzzy min-max neural networks where the input variables for learning and classification are just numerical. The proposed method extends the input to categorical variables by introducing new fuzzy sets, a new operation and a new architecture. The procedure is tested and compared with others using opinion poll data.

Novel fast random search clustering approach for mixing matrix identification in MIMO linear blind inverse problems with sparse inputs

In this paper we propose a novel fast random search clustering (RSC) algorithm for mixing matrix identification in multiple input multiple output (MIMO) linear blind inverse problems with sparse inputs. The proposed approach is based on the clustering of the observations around the directions given by the columns of the mixing matrix that occurs typically for sparse inputs. Exploiting this fact, the RSC algorithm proceeds by parameterizing the mixing matrix using hyperspherical coordinates, randomly selecting candidate basis vectors (i.e. clustering directions) from the observations, and accepting or rejecting them according to a binary hypothesis test based on the Neyman–Pearson criterion. The RSC algorithm is not tailored to any specific distribution for the sources, can deal with an arbitrary number of inputs and outputs (thus solving the difficult under-determined problem), and is applicable to both instantaneous and convolutive mixtures. Extensive simulations for synthetic and real data with different number of inputs and outputs, data size, sparsity factors of the inputs and signal to noise ratios confirm the good performance of the proposed approach under moderate/high signal to noise ratios. RESUMEN. Método de separación ciega de fuentes para señales dispersas basado en la identificación de la matriz de mezcla mediante técnicas de "clustering" aleatorio.

Maintenance of a somatotopic cortical map in the face of diminishing thalamocortical inputs

This study addresses the extent of divergence in the ascending somatosensory pathways of primates. Divergence of inputs from a particular body part at each successive synaptic step in these pathways results in a potential magnification of the representation of that body part in the somatosensory cortex, so that the representation can be expanded when peripheral input from other parts is lost, as in nerve lesions or amputations. Lesions of increasing size were placed in the representation of a finger in the ventral posterior thalamic nucleus (VPL) of macaque monkeys. After a survival period of 1–5 weeks, area 3b of the somatosensory cortex ipsilateral to the lesion was mapped physiologically, and the extent of the representation of the affected and adjacent fingers was determined. Lesions affecting less than 30% of the thalamic VPL nucleus were without effect upon the cortical representation of the finger whose thalamic representation was at the center of the lesion. Lesions affecting about 35% of the VPL nucleus resulted in a shrinkage of the cortical representation of the finger whose thalamic representation was lesioned, with concomitant expansion of the representations of adjacent fingers. Beyond 35–40%, the whole cortical representation of the hand became silent. These results suggest that divergence of brainstem and thalamocortical projections, although normally not expressed, are sufficiently great to maintain a representation after a major loss of inputs from the periphery. This is likely to be one mechanism of representational plasticity in the cerebral cortex.