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Field effects in the CNS play functional roles
Field effects in the CNS play functional roles

... greater than the surrounding medium (Korn and Faber, 1975; Weiss et al., 2008). The axon cap surrounds the M-cell axon hillock and is penetrated by the unmyelinated axons of the feed-forward inhibitory interneurons (Figure 3). Action currents in these axons flow passively out at the terminals in the ...
Cortical Maps - White Rose Research Online
Cortical Maps - White Rose Research Online

... visualized as continuously varying spatial patterns. Separate map images for each dimension of the feature space can be derived from a single set of neurons. For example, if we establish the preferred orientations of V1 neurons, we can construct an orientation preference map (see figure 4). Orientat ...
A Theory of Cerebral Cortex - Temporal Dynamics of Learning Center
A Theory of Cerebral Cortex - Temporal Dynamics of Learning Center

... Figures 1 and 2 illustrate a concrete example of confabulation. In this architecture, five lexicons (shown as columns of circles), each containing 10,000 symbols, are employed. In these example lexicons, each symbol is arbitrarily (and permanently) assigned to represent exactly one unique English wo ...
Survey on Remotely Sensed Image Classification
Survey on Remotely Sensed Image Classification

... maps algorithm. All these algorithms are evaluated as per the following factors: number of clusters, size of dataset, type of dataset and type of software used. FSVM is used to enhance the SVM in reducing the effect of outliers and noises in data points and is suitable for applications, in which dat ...
pdf file. - Harvard Vision Lab
pdf file. - Harvard Vision Lab

... or saccadic, eye movements: corollary discharge about each saccade would permit the visual system to ignore saccade-induced visual changes6–9. The critical missing link has been the connection between corollary discharge and visual processing. Here we show that such a link is formed by a corollary d ...
OLED_Optogenetics_abstract_v3_wo_links
OLED_Optogenetics_abstract_v3_wo_links

... OCIS codes: (170.2945) Medical optics and biotechnology – lllumination design; (310.6860) Thin film devices and applications; (160.4890) Organic materials ...
Number and Laminar Distribution of Neurons in a
Number and Laminar Distribution of Neurons in a

... the number of neurons in such a projection column. Together with the data on TC projections, these numbers are then used to compute the average TC innervation of excitatory neurons in a cortical column as presented in the subsequent article (Meyer et al. 2010). The number of neurons in a cortical co ...
Expert System Used on Materials Processing
Expert System Used on Materials Processing

... is the selection of rules that will be applied. Difficulty of this process lies in the fact that, at a certain moment, the database can contain facts that simultaneously satisfy the conditions of multiple rules; the decision to take is which rules will be applied. Inference engine functioning accord ...
pixel measurement of thyroid gland by using ultrasound image
pixel measurement of thyroid gland by using ultrasound image

... IC™ Value: 3.00 ...
Large-scale spatiotemporal spike patterning consistent with
Large-scale spatiotemporal spike patterning consistent with

... labelled above each plot is with respect to the onset of the visual target. The red arrow in the bottom right panel shows the propagation direction of the wave. (b) Temporal evolution of the GOF measure of planar wave activity (PGD in blue ranging from 0.295 to 0.335, as well as the mean hand speed ...
Simulating in vivo-like Synaptic Input Patterns in Multicompartmental
Simulating in vivo-like Synaptic Input Patterns in Multicompartmental

... synchan element called AMPA is shown below. The synchan object also allows the user to set a frequency of activation, but we don’t use this mechanism, so the frequency field of all of our synchan elements is set to 0. We begin by making a single, template synchan element and placing it into a neutra ...
emboj2008265-sup
emboj2008265-sup

... Supplementary Figure 7. Identity of cortactin bands labeled by the cortactin antibody. (A) Western analysis showing cortactin antibody specificity in 293 cells transfected with HA-cortactin-myc (+) and control cells (-). Endogenous cortactin is already expressed by this cell line (Ctn band). The co ...
Multi-objective optimization of support vector machines
Multi-objective optimization of support vector machines

... In practice, the standard method to determine the hyperparameters is gridsearch. In simple grid-search the hyperparameters are varied with a fixed step-size through a wide range of values and the performance of every combination is measured. Because of its computational complexity, grid-search is on ...
Network Self-Organization Explains the Statistics and
Network Self-Organization Explains the Statistics and

... To estimate the probability distribution governing excitatory-toexcitatory synaptic strengths we bin connection strengths and divide the number of occurrences in each bin by the bin size. The bin sizes are uniform on the log scale. To mimic experimental procedures [15], very small synapses (v0:01) a ...
A simulation of parahippocampal and hippocampal structures guiding spatial navigation of
A simulation of parahippocampal and hippocampal structures guiding spatial navigation of

... both spatial navigation tasks (Hagan et al., 1992) and matching tasks (Otto and Eichenbaum, 1992; Tang et al., 1997). Physiological data shows the patterns of activity in parahippocampal regions during performance of these tasks (Young et al., 1997; Suzuki et al., 1997; Frank et al., 2000) and also ...
Adaptive routing in wireless communication networks using swarm
Adaptive routing in wireless communication networks using swarm

... routing algorithm [16-27], which has outperformed the best-known routing algorithms on several packetswitched communications networks. For telephone communication networks, there also exists a very successful application of swarm intelligence via Ant-Based Control (ABC) [28-30]. We present an overvi ...
Surround suppression explained by long-range
Surround suppression explained by long-range

... sparse local excitatory connections within columns, coupled with strong unspecific local inhibition and functionally-specific long-range excitatory connections across columns, give rise to competitive dynamics that reproduce experimental observations. Our results explain surround modulation of respo ...
BvP neurons exhibit a larger variety in statistics of inter
BvP neurons exhibit a larger variety in statistics of inter

... of (CV,SK) lie outside of the small region, and the magnitude of the deviations correspond to input correlations on a scale of hundreds of milliseconds in the LIF model.2) The relationship between input and output statistics generally depends on the spiking mechanism of the neuron. It is known that ...
Physiological Patterns in the Hippocampo
Physiological Patterns in the Hippocampo

... difficulty in the entorhinal cortex is the lack of objective and reliable criteria for cell classification and unit separation methods, as well as the more complex cortical connectivity compared to the “simple” hippocampal regions. These methodological difficulties need to be worked out before any m ...
Physiological patterns in the hippocampo
Physiological patterns in the hippocampo

... difficulty in the entorhinal cortex is the lack of objective and reliable criteria for cell classification and unit separation methods, as well as the more complex cortical connectivity compared to the “simple” hippocampal regions. These methodological difficulties need to be worked out before any m ...
Lentivirus-based genetic manipulations of cortical neurons and their
Lentivirus-based genetic manipulations of cortical neurons and their

... onset of the genetic manipulation and the cell type that is affected (1–3). However, even the most specific genetic designs affect entire populations of neurons, typically in multiple brain regions. The current transgenic兾knockout technologies thus do not allow targeting of small neuronal networks o ...
The Nervous System
The Nervous System

... Basic units of the nervous system. Also known as neurons. 4 basic parts to a neuron. ...
SENSE AND THE SINGLE NEURON: Probing the Physiology of
SENSE AND THE SINGLE NEURON: Probing the Physiology of

... the nervous system processes sensory information. The conceptually simplest of these is to measure tuning curves as selected parameters of the sensory stimulus are varied. A neuron is considered to be “tuned” if the response is strongest to a particular value (or narrow range of values) of the stimu ...
REM-off
REM-off

... transmitter by the presynaptic neuron opens the same number and type of ionotropic receptors on the postsynaptic neuron), the impact of the presynaptic neuron on the postsynaptic neuron’s membrane potential and rate of action potentials may differ depending on the properties of other types of ion ch ...
Presentation Slides
Presentation Slides

... 20% of the general population suffer from at least one form of anxiety disorder at some point of their life Financial cost of more than 65 billion dollars in Canada alone ...
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Convolutional neural network

In machine learning, a convolutional neural network (CNN, or ConvNet) is a type of feed-forward artificial neural network where the individual neurons are tiled in such a way that they respond to overlapping regions in the visual field. Convolutional networks were inspired by biological processes and are variations of multilayer perceptrons which are designed to use minimal amounts of preprocessing. They are widely used models for image and video recognition.
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