AIMC Topic: Time Perception
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Moving in time: Simulating how neural circuits enable rhythmic enactment of planned sequences.
Neural networks : the official journal of the International Neural Network Society
Aug 19, 2019
Many complex actions are mentally pre-composed as plans that specify orderings of simpler actions. To be executed accurately, planned orderings must become active in working memory, and then enacted one-by-one until the sequence is complete. Examples...
Bayesian Computation through Cortical Latent Dynamics.
Neuron
Jul 15, 2019
Statistical regularities in the environment create prior beliefs that we rely on to optimize our behavior when sensory information is uncertain. Bayesian theory formalizes how prior beliefs can be leveraged and has had a major impact on models of per...
Tutorial and simulations with ADAM: an adaptation and anticipation model of sensorimotor synchronization.
Biological cybernetics
Apr 8, 2019
Interpersonal coordination of movements often involves precise synchronization of action timing, particularly in expert domains such as ensemble music performance. According to the adaptation and anticipation model (ADAM) of sensorimotor synchronizat...
Estimating Scale-Invariant Future in Continuous Time.
Neural computation
Feb 14, 2019
Natural learners must compute an estimate of future outcomes that follow from a stimulus in continuous time. Widely used reinforcement learning algorithms discretize continuous time and estimate either transition functions from one step to the next (...
A neural microcircuit model for a scalable scale-invariant representation of time.
Hippocampus
Nov 13, 2018
Scale-invariant timing has been observed in a wide range of behavioral experiments. The firing properties of recently described time cells provide a possible neural substrate for scale-invariant behavior. Earlier neural circuit models do not produce ...
Convolutional Neural Networks with 3D Input for P300 Identification in Auditory Brain-Computer Interfaces.
Computational intelligence and neuroscience
Nov 7, 2017
From allowing basic communication to move through an environment, several attempts are being made in the field of brain-computer interfaces (BCI) to assist people that somehow find it difficult or impossible to perform certain activities. Focusing on...
Using Temporal Sensitivity to Predict Performance Under Latency in Teleoperation.
Human factors
Oct 2, 2017
Objective This article establishes a relationship between temporal sensitivity and task performance under one-way latency between input and response. Background As the latency between human input and telerobot response increases, performance (e.g., s...
Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity.
Scientific reports
Jul 13, 2017
Brain-inspired computation can revolutionize information technology by introducing machines capable of recognizing patterns (images, speech, video) and interacting with the external world in a cognitive, humanlike way. Achieving this goal requires fi...
Hybrid neuro-heuristic methodology for simulation and control of dynamic systems over time interval.
Neural networks : the official journal of the International Neural Network Society
May 5, 2017
Simulation and positioning are very important aspects of computer aided engineering. To process these two, we can apply traditional methods or intelligent techniques. The difference between them is in the way they process information. In the first ca...
Improved exponential convergence result for generalized neural networks including interval time-varying delayed signals.
Neural networks : the official journal of the International Neural Network Society
Nov 9, 2016
This article examines the exponential stability analysis problem of generalized neural networks (GNNs) including interval time-varying delayed states. A new improved exponential stability criterion is presented by establishing a proper Lyapunov-Kraso...
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