Loading...
  • dynamics
  • The dynamics of a single neuron, which forms one unit of a large brain network, are therefore relatively simple. (frontiersin.org)
  • The implicit spiking dynamics of the cerebellar model fulfill timing, prediction and learning functions. (plos.org)
  • Analysis of neural activity through techniques such as hidden Markov modeling, which do not require averaging of data across trials (such averaging is often necessary, but destroys the single-trial correlations and dynamics that reveal state transitions). (brandeis.edu)
  • This allows us to "reverse engineer" a neural network, i.e. to find out, given a set of initial conditions, which parameters (i.e., synaptic weights in this case), allow to simulate the network spike dynamics. (inria.fr)
  • Brainstem saccadic circuitry, corroborated by several contributions of local field potentials (LFPs) to the dynamics of neuronal synaptic activity between three neural populations in generating horizontal and vertical saccades in two rhesus monkeys, was introduced by van Horn et al. (hindawi.com)
  • Running the code NeuronModelFORCEtask.m trains a network to reproduce the dynamics of the supervisor using FORCE training. (yale.edu)
  • circuits
  • The proposed saccadic circuitry establishes a complete model of saccade generation since it not only includes the neural circuits at both the premotor and motor stages of the saccade generator, but also uses a time-optimal controller to yield the desired saccade magnitude. (hindawi.com)
  • artificial
  • Even though many insights [ 4 , 5 ] point toward how to simulate the AS natural process in artificial agents, there is no consensus to approach this cognitive phenomenon. (hindawi.com)
  • Artificial spiking neural networks (SNN) [ 7 ] have been successfully used as brain-controllers for robots, and several researches have proposed different computational models implementing AS through this specific experimental paradigm [ 8 , 9 ]. (hindawi.com)
  • This paper proposes an artificial spiking neural network (SNN) sustaining the cognitive abstract process of spatial concept learning, embedded in virtual and real robots. (hindawi.com)
  • Even if some progress is made to relate the learning process and the neural substrates [ 16 ], no precise neural circuit is currently known to explain concept learning from a complete sensory to motor architecture, be it natural or artificial. (hindawi.com)
  • Neural modeling is one computational tool that that maybe helpful for approaching this problem, more precisely by elaborating a precise artificial neural circuit that correlates the behavioral observations. (hindawi.com)
  • populations
  • This behavior strongly depends on the initial working point (WP) of the neural populations (between the linear and the upper saturation region of a sigmoidal function) and on how the cortical activation or deactivation can move the WP in the upper saturation region ERD or in the linear region ERS, respectively. (frontiersin.org)
  • In the analysis of extracellular potentials we may wish to use signal decomposition methods, such as principal or independent component analysis for signals coming from coupled neural populations (Di et al. (springer.com)
  • Inhibition
  • C) The effect of the static (blue) and the dynamic (green) inhibition on the phase-shift, expressed as the difference between preferred phases of input and output spikes in the SBC model. (nih.gov)
  • model
  • A NRP experiment embedding the new optimized model robot is created and used to pilot the robot and the simulated physics. (wordpress.com)
  • and spike-train output from a state-of-the-art electronic retina subjected to a light emitting diode flashing at 10, 20, and 40 Hz, simulating real-world visual stimulus to the model. (frontiersin.org)
  • A model of the cortical network hence requires a response based on whether the second stimulus is of greater or lesser frequency than the first. (brandeis.edu)
  • Therefore, we determined the input-output relationship of a model SBC with simulated endbulb inputs and a dynamic inhibitory conductance constrained by recordings in brain slice preparations of hearing gerbils. (nih.gov)
  • A-C) Responses of a model SBC to simulated sound stimulation at CF (1.2 kHz). (nih.gov)
  • B) Differences in vector strengths between input and output spikes in the model with the static (blue) and dynamic (green) inhibitory conductances. (nih.gov)
  • D) Phase-dependent EPSG modifier (thick line) superimposed on a cycle histogram of simulated AN inputs to the SBC model (thin line). (nih.gov)
  • A simple auditory nerve (AN) model was created to generate synthetic input spike trains for the SBC model. (nih.gov)
  • A generic neuron model is therefore desired to quantify the neural stimulations meticulously, thus reflecting the physiology linked to the dendrite, cell body, axon, and presynaptic terminal of each neuron. (hindawi.com)
  • We thus conclude that the neural architecture proposed here to model the inner speech loop reflects important interactions in production and perception at phonological and semantic levels. (frontiersin.org)
  • This study describes a spiking model that self-organizes for stable formation and maintenance of orientation and ocular dominance maps in the visual cortex (V1). (frontiersin.org)
  • The data were generated using the largest publicly available multicompartmental model of thalamocortical network (Traub et al. (springer.com)
  • numerical
  • a conventional numerical neural network, which performs with similar accuracy to Support Vector Machines (SVMs) and which is significantly quicker to train than SVMs. (frontiersin.org)
  • patterns
  • Prototype chips from IBM containing more than one million nanoscale phase-change memristive devices were used to implement a neural network for the detection of hidden patterns and correlations in time-varying signals. (frogheart.ca)
  • stimulus
  • Stimulus levels and output spike rates were adjusted to achieve output rates similar to the sustained part of AVCN responses. (nih.gov)
  • NEST
  • A new working-mode for the NRP has been created by the SSSA team in Pisa, supporting NEST as the neural interface and ROS for the robotic interface. (wordpress.com)
  • mechanism
  • This robustness supports the assumption that speech production benefits from a robust neural mechanism for activating and processing already learned and stored cognitive and sensorimotor speech units (e.g., syllables, words, short phrases). (frontiersin.org)
  • mimic
  • Researchers emulate the physical manifestation of biological systems in biomimetic robotics, but they still cannot mimic biological controllers because the neural basis of movement remains elusive. (krellinst.org)
  • synapse
  • The central idea in our demonstration was to use several memristive devices in parallel to represent the strength of a synapse of a neural network, but only chose one of them to be updated at each step based on the neuronal activity. (frogheart.ca)
  • A neural system comprised of a persistent firing sensory neuron, a habituating synapse, and a motoneuron was developed to illustrate the spike-timing dependency of the working memory [ 8 ]. (hindawi.com)
  • associative
  • The cerebellum is involved in a large number of different neural processes, especially in associative learning and in fine motor control. (plos.org)
  • inputs
  • there are few successful methods for direct synthesis of networks to perform any arbitrary task which may be defined in terms of spike inputs and spike outputs, or in terms of a functional input-output relationship. (frontiersin.org)
  • toward
  • This paper focuses on spatial abstract concepts as a prior step toward achieving a relational above/below neural circuit. (hindawi.com)
  • controllers
  • This new intriguing feature will help all the roboticists to deploy their neural controllers on real robots, without the need of any external software. (wordpress.com)
  • reproduce
  • The purpose is to study a class of algorithmic methods allowing one to calculate the proper parameters to reproduce exactly a given spike train, generated by an hidden (unknown) neural network. (inria.fr)
  • context
  • In neuroscience, so far, ground truth data were mostly considered in the context of spike sorting (Harris et al. (springer.com)
  • process
  • The AS biological phenomenon results from a neural process that leads to the observation of an agent doing one action over several others. (hindawi.com)
  • This self-organization process simulates three development phases: an early experience-independent phase, a late experience-independent phase and a subsequent refinement phase during which experience acts to shape the map properties. (frontiersin.org)
  • 2017
  • Manipulability optimization of redundant manipulators using dynamic neural networks[J]. IEEE Transactions on Industrial Electronics, 2017, 64(6): 4710-4720. (beapolimi.it)