AIMC Topic: Time Perception

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Event-triggered synchronization strategy for complex dynamical networks with the Markovian switching topologies.

Neural networks : the official journal of the International Neural Network Society Dec 1, 2015
This paper concerns the synchronization problem of complex networks with the random switching topologies. By modeling the switching of network topologies as a Markov process, a novel event-triggered synchronization strategy is proposed. Unlike the ex...
Markov Chains Time Perception Algorithms Neural Networks, Computer Computer Simulation
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Networks that learn the precise timing of event sequences.

Journal of computational neuroscience Sep 3, 2015
Neuronal circuits can learn and replay firing patterns evoked by sequences of sensory stimuli. After training, a brief cue can trigger a spatiotemporal pattern of neural activity similar to that evoked by a learned stimulus sequence. Network models s...
Synapses Nerve Net Models, Neurological Computer Simulation Neuronal Plasticity Neural Networks, Computer Humans Learning Machine Learning Time Pyramidal Cells Time Perception
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Neural Sequences and the Encoding of Time.

Advances in experimental medicine and biology Jan 1, 2024
Converging experimental and computational evidence indicate that on the scale of seconds the brain encodes time through changing patterns of neural activity. Experimentally, two general forms of neural dynamic regimes that can encode time have been o...
Brain Animals Neural Networks, Computer Neurons Time Perception Models, Neurological Time Factors Humans
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A Dynamical Systems Perspective on Flexible Motor Timing.

Trends in cognitive sciences Oct 1, 2018
A hallmark of higher brain function is the ability to rapidly and flexibly adjust behavioral responses based on internal and external cues. Here, we examine the computational principles that allow decisions and actions to unfold flexibly in time. We ...
Animals Models, Neurological Neural Networks, Computer Humans Time Perception Executive Function Motor Activity Systems Analysis Nerve Net
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Predicting the perception of performed dynamics in music audio with ensemble learning.

The Journal of the Acoustical Society of America Mar 1, 2017
By varying the dynamics in a musical performance, the musician can convey structure and different expressions. Spectral properties of most musical instruments change in a complex way with the performed dynamics, but dedicated audio features for model...
Loudness Perception Pitch Perception Time Perception Music Auditory Perception Periodicity Models, Psychological Judgment Acoustic Stimulation Signal Processing, Computer-Assisted Humans Time Factors Sound Spectrography Acoustics Computer Simulation Reproducibility of Results Machine Learning
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