biologically inspired neural model
A neural tracking and motor control approach to improve rehabilitation of upper limb movements
... a biologically inspired neural inverse dynamics model, fed by the kinematic information associated with the execution of a planar goal-oriented ...a neural controller that drives a ...
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Refinement of biologically inspired models of reinforcement learning
... the model predicted. In our data, the neural eligibility trace of the onset of the OS might have decayed before reinforcement, so that dopaminergic responses would develop to the ...
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Biologically Inspired Vision and Control for an Autonomous Flying Vehicle
... same neural augmentation techniques with the addition of Pseudocontrol Hedging ...as model tracking ...inverse model neglected the actuators and the neural network could not adequately cope ...
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A biologically inspired denial of service detector using the random neural network
... random neural network (RNN) introduced by Gelenbe in [2] is an alternative neural network model based on the spiking behaviour of the biological neuron instead of the classical approaches which ...
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Group coordination in a biologically-inspired vectorial network model
... Collective behavior is characterized by self-organized states [13, 24, 40] that have been observed across almost every phy- lum of life, including fish schools, bird flocks, insect swarms, and bacteria [13, 22, 37]. ...
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Research Article A Biologically Inspired Computational Model of Basal Ganglia in Action Selection
... in neural network models, assuming a preprocessing net which orthogonalizes the stimulus vectors, in order to reduce correlation and using a larger number of input ...
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Application Of Hybrid Model For Forecasting Prices Of Jasmine Flower In Bangalore, India
... A neural network is a biologically inspired nonlinear parallel computing paradigm for information processing and exploratory analysis having a distinct ordering among the sets of neurons arranged as ...
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A biologically inspired neural network controller for ballistic arm movements
... arm model), so that the set of available ways to accomplish a specific task is not ...the model, only two mono-articular pairs of muscles for each joint (elbow and shoulder) and a bi-articular pair of ...
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Convolutional Neural Network with Biologically Inspired Retinal Structure
... The comparison is carried out in two different ways. One is to include negative features additionally, and the other is to replace half of the features with negative features. Because the ON/OFF ReLU changes structure, ...
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Biologically inspired object categorization in cluttered scenes
... a model of recognition that extends a weight-sharing hierarchical network by using neural coding to improve the ability of ...The neural coding that they used is called sparse coding (Olshausen and ...
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Biologically Inspired Near Extinct System Reconstruction
... structures. Inspired by the biological analogue that any individual cell in a multi-cellular organism has the same information encoded in its DNA regardless of its committed differentiated path, the co-DNA is ...
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A Review of Heuristic Global Optimization Based Artificial Neural Network Training Approahes
... is inspired by natural evolution and adopts the principles of selection, crossover and mutation ...feedforward neural network ...Training neural networks with distributed GA reinforced by perceptron ...
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Biologically inspired emotion recognition from speech
... from the speech signal to define salient characteristics suitable to perform emotion classification. The problem to explore which features could describe better emotions has been widely addressed [18-20]. All authors ...
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Sparse visual models for biologically inspired sensorimotor control
... One of the major difficulties in robot navigation is the capability of rapidly responding to unpredictable and novel situations. The level of delegation and autonomy of robotic systems in remote missions will depend on ...
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Biologically inspired intrusion detection (BIID): A review
... Standalone and Distributed Intrusion Detection The third principle being established is that the BIID supports both standalone and distributed intrusion detection. On a stand-alone computer system, the audit data ...
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Heuristic considerations on fast axopial contraction in the Heliozoa
... Peliti (ed.) Biologically Inspired Physics. Plenum Press, NY, pp. Dynamics of single-motor molecules: The thermal ratchet model. and Williams, RC. Mechanisms of assembly and disassembly [r] ...
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A Neural Network Approach for Numeral Font Recognition
... An SVM in its elementary form сan be used for binary сlassifiсation. It may, however, be extended to multi сlass problems using the one-against-the-rest approaсh or by using the one-against-one approaсh. Arora and ...
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Biologically Inspired Target Recognition in Radar Sensor Networks
... Tektronix model 7704 B oscilloscope, dual antenna mounting stand, two antennas, rack system, IBM laptop, HP signal Generator, Custom RF switch and power supply, and Weather shield (small ...Inc. model 732 ...
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A Biologically Inspired Active Vision Framework for Cognitive Agents.
... a biologically inspired ...a model that generates appropriate sequences of joint angle and velocity specifications, much like we tend to build muscle memory by ...
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A new model for classifying DNA code inspired by neural networks and FSA
... Comparing the classifiers CL(V, E, `, r) to finite state automata, let us just note that each finite state automaton is used to divide its input into two classes only. Besides, the edges of finite state automata do not ...
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