Granger causality analysis of state dependent functional connectivity
... (2), Γij , is greater than zero. The equality of Γij to zero holds when neuron j has no causal influence on i. This statistical framework for assessing Granger causality can be applied to any modality as well as binary neural spike train data [14]. In summary, the Granger causality from neuron j to ...
... (2), Γij , is greater than zero. The equality of Γij to zero holds when neuron j has no causal influence on i. This statistical framework for assessing Granger causality can be applied to any modality as well as binary neural spike train data [14]. In summary, the Granger causality from neuron j to ...
Part I - Department of Computer Science and Engineering
... LTA is a method for identifying co-occurrence relationships. AAAI 2014 Tutorial Nevin L. Zhang HKUST ...
... LTA is a method for identifying co-occurrence relationships. AAAI 2014 Tutorial Nevin L. Zhang HKUST ...
Cascade and Feed Forward Back propagation Artificial Neural
... Compressive strength of Ready Mix Concrete is a major and perhaps the most important mechanical property, which is usually measured after a standard curing of 28 days. Concrete strength is influenced by lots of factors like concrete ingredients, age, ratio of water to cementitious materials, etc. Co ...
... Compressive strength of Ready Mix Concrete is a major and perhaps the most important mechanical property, which is usually measured after a standard curing of 28 days. Concrete strength is influenced by lots of factors like concrete ingredients, age, ratio of water to cementitious materials, etc. Co ...
An Efficient Explanation of Individual Classifications
... often noisy, inconsistent, and incomplete, so various preprocessing methods are used before the appropriate machine learning algorithm is applied. The knowledge we extract this way might not be suitable for immediate use and one or more data postprocessing methods could be applied as well. Data post ...
... often noisy, inconsistent, and incomplete, so various preprocessing methods are used before the appropriate machine learning algorithm is applied. The knowledge we extract this way might not be suitable for immediate use and one or more data postprocessing methods could be applied as well. Data post ...
Multi-Layer Feed-Forward - Teaching-WIKI
... "test set”, which must not be used during training. – The test set must represent the cases that the ANN should generalize to. A re-run with the test set provides an unbiased estimate of the generalization error, provided that the test set was chosen randomly. – The disadvantage of split-sample vali ...
... "test set”, which must not be used during training. – The test set must represent the cases that the ANN should generalize to. A re-run with the test set provides an unbiased estimate of the generalization error, provided that the test set was chosen randomly. – The disadvantage of split-sample vali ...
Y.I. Molkov, Baroreflex models, Encyclopedia of Computational
... types, A-type and C-type, depending on whether they are myelinated or not. Schild et al. (1994) performed a thorough study of their electrophysiological properties and developed a conductance-based model of A- and C-type cells based on voltage-clamp recordings in rat nodose sensory neurons (carotid ...
... types, A-type and C-type, depending on whether they are myelinated or not. Schild et al. (1994) performed a thorough study of their electrophysiological properties and developed a conductance-based model of A- and C-type cells based on voltage-clamp recordings in rat nodose sensory neurons (carotid ...
Self-Organizing Maps
... weights for all neurons on the map so that every neuron has a different set of starting weights from every other neuron. Each neuron has one weight for every attribute in the dataset. For example, the dataset used in this paper has 6 attributes so initially each neuron on the map would have 6 random ...
... weights for all neurons on the map so that every neuron has a different set of starting weights from every other neuron. Each neuron has one weight for every attribute in the dataset. For example, the dataset used in this paper has 6 attributes so initially each neuron on the map would have 6 random ...
On the continuity of Gelfond-Lifschitz operator and other applications
... The integers m or n or both can be 0. The atom p will be called the head of C and denoted head (C). We let PosBody(C) denote the set {q1 , . . . , qm } and NegBody(C) denote the set {r1 , . . . , rn }. For any set of atoms X, we let ¬X denote the conjunction of negations of atoms from X. Thus, we ca ...
... The integers m or n or both can be 0. The atom p will be called the head of C and denoted head (C). We let PosBody(C) denote the set {q1 , . . . , qm } and NegBody(C) denote the set {r1 , . . . , rn }. For any set of atoms X, we let ¬X denote the conjunction of negations of atoms from X. Thus, we ca ...
Revising Domain Knowledge with Cross
... greater in a state where the proposition holds than in a state where the proposition does not, all else equal. Once these consequences are asserted, they describe how the light of an object might change, e.g., its light source brightens or dims, or something occludes it. 2.2 Model Formulation Model ...
... greater in a state where the proposition holds than in a state where the proposition does not, all else equal. Once these consequences are asserted, they describe how the light of an object might change, e.g., its light source brightens or dims, or something occludes it. 2.2 Model Formulation Model ...
Top-Down Versus Bottom-Up Control
... but their respective contributions are not clear; they have largely been studied in separate experiments, rendering comparisons difficult and obscuring timing differences that could give clues to information flow (7). We therefore recorded from multiple electrodes simultaneously implanted in the fro ...
... but their respective contributions are not clear; they have largely been studied in separate experiments, rendering comparisons difficult and obscuring timing differences that could give clues to information flow (7). We therefore recorded from multiple electrodes simultaneously implanted in the fro ...
Top-Down Versus Bottom-Up Control of Attention in the Prefrontal
... but their respective contributions are not clear; they have largely been studied in separate experiments, rendering comparisons difficult and obscuring timing differences that could give clues to information flow (7). We therefore recorded from multiple electrodes simultaneously implanted in the fro ...
... but their respective contributions are not clear; they have largely been studied in separate experiments, rendering comparisons difficult and obscuring timing differences that could give clues to information flow (7). We therefore recorded from multiple electrodes simultaneously implanted in the fro ...
Plan Synthesis for Knowledge and Action Bases - CEUR
... We now focus on plan synthesis for eKABs. We first introduce a technique based on classical planning [7]. A classical planning domain is a triple D = hS, A, ρi, where S is a finite set of states, A is a finite set of actions, and ρ : S × A → S is a transition function. Domain states are propositiona ...
... We now focus on plan synthesis for eKABs. We first introduce a technique based on classical planning [7]. A classical planning domain is a triple D = hS, A, ρi, where S is a finite set of states, A is a finite set of actions, and ρ : S × A → S is a transition function. Domain states are propositiona ...
Is it Possible to Extract Metabolic Pathway
... task that requires consideration of the dynamic aspects of these signals. However, current diagnosis techniques based on proton NMR spectroscopy are still in their infancy. Firstly, as stated above, powerful tools like machine learning techniques are scarcely applied within this context [34]. Indeed ...
... task that requires consideration of the dynamic aspects of these signals. However, current diagnosis techniques based on proton NMR spectroscopy are still in their infancy. Firstly, as stated above, powerful tools like machine learning techniques are scarcely applied within this context [34]. Indeed ...
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... Meanwhile, the kinematic data of CMJ were recorded and digitized with a Peak Performance System at 120Hz. The GRF and kinematic data of support phase were than normalized as 100%. To calculate the joint torque at ankle, knee and hip, 2D inverse dynamics model was developed by inputting the GRF, kine ...
... Meanwhile, the kinematic data of CMJ were recorded and digitized with a Peak Performance System at 120Hz. The GRF and kinematic data of support phase were than normalized as 100%. To calculate the joint torque at ankle, knee and hip, 2D inverse dynamics model was developed by inputting the GRF, kine ...
Developments in understanding neuronal spike trains and functional
... (Koch, 1999). Put simply, there is significant presence of neuronal processing that involves dependency only on single spikes or on the time interval between spikes. This latter point is critical since it indicates that the time between spikes, the inter-spike interval (ISI), may contain useful info ...
... (Koch, 1999). Put simply, there is significant presence of neuronal processing that involves dependency only on single spikes or on the time interval between spikes. This latter point is critical since it indicates that the time between spikes, the inter-spike interval (ISI), may contain useful info ...
Neural Coding: Higher Order Temporal Patterns in the
... where the θ’s are real-valued parameters, and where θ 0 is determined from the other θ’s and the constraint that the probabilities of all configurations sum to 1. In this model, there is a parameter for each individual neuron and for each pair of neurons. Each of these parameters, which in the stati ...
... where the θ’s are real-valued parameters, and where θ 0 is determined from the other θ’s and the constraint that the probabilities of all configurations sum to 1. In this model, there is a parameter for each individual neuron and for each pair of neurons. Each of these parameters, which in the stati ...