Results 41 to 50 of about 389,041 (190)
Articulating: the neural mechanisms of speech production [PDF]
, 2019 Speech production is a highly complex sensorimotor task involving tightly coordinated processing across large expanses of the cerebral cortex. Historically, the study of the neural underpinnings of speech suffered from the lack of an animal model.
Guenther, Frank H., Kearney, Elaine
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Frontiers in Neuroinformatics, 2016 In order to properly assess the function and computational properties of simulated neural systems, it is necessary to account for the nature of the stimuli that drive the system.
Philipp Weidel +9 more
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A Simple Quantum Neural Net with a Periodic Activation Function
, 2018 In this paper, we propose a simple neural net that requires only $O(nlog_2k)$ number of qubits and $O(nk)$ quantum gates: Here, $n$ is the number of input parameters, and $k$ is the number of weights applied to these parameters in the proposed neural net.
Daskin, Ammar
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Using Artificial Intelligence in Wireless Sensor Routing Protocols [PDF]
, 2006 This paper represents a dissertation about how an artificial intelligence technique can be applied to wireless sensor networks. Due to the constraints on data processing and power consumption, the use of artificial intelligence has been historically ...
Barbancho Concejero, Antonio +3 more
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Construction of Neural Network Classification Expert Systems Using Switching Theory Algorithms [PDF]
, 1992 A new family of neural network architectures is presented. This family of architectures solves the problem of constructing and training minimal neural network classification expert systems by using switching theory.
Jaskolski, John V.
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Simulation of neural sets [PDF]
Behavior Research Methods & Instrumentation, 1971 A program has been written for the PDP-8/I computer which simulates the behavior of 64 model neurons which may be connected together to form a functional neural net. The simulation includes provisions for studying the possible mechanisms of learning in real systems.
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On Simulating Neural Damage in Connectionist Networks [PDF]
Computational Brain & Behavior, 2020 AbstractA key strength of connectionist modelling is its ability to simulate both intact cognition and the behavioural effects of neural damage. We survey the literature, showing that models have been damaged in a variety of ways, e.g. by removing connections, by adding noise to connection weights, by scaling weights, by removing units and by adding ...
Guest, O, Caso, A, Cooper, RP
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Scaling neural simulations in STACS
Neuromorphic Computing and EngineeringAs modern neuroscience tools acquire more details about the brain, the need to move towards biological-scale neural simulations continues to grow. However, effective simulations at scale remain a challenge.
Felix Wang +6 more
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Physical Review Research, 2020 The neural network method of solving differential equations is used to approximate the electric potential and corresponding electric field in the slit-well microfluidic device.
Martin Magill +2 more
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flexHH: A Flexible Hardware Library for Hodgkin-Huxley-Based Neural Simulations
IEEE Access, 2020 The Hodgkin-Huxley (HH) neuron is one of the most biophysically-meaningful models used in computational neuroscience today. Ironically, the model's high experimental value is offset by its disproportional computational complexity.
Rene Miedema +5 more
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