Sequential method for fast neural population activity reconstruction in the cortex from incomplete noisy measurements
Sign Up to like & getrecommendations! Published in 2022 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2021.105103
Abstract: During recent years there has been a growing interest in stochastic dynamic neural fields employed for modeling and predictions in biomedical and technical systems. In this paper, given some incomplete noisy data available from sensors,… read more here.
Keywords: population activity; neural population; sequential method; incomplete noisy ... See more keywords
Neural population clocks: Encoding time in dynamic patterns of neural activity.
Sign Up to like & getrecommendations! Published in 2022 at "Behavioral neuroscience"
DOI: 10.1037/bne0000515
Abstract: The ability to predict and prepare for near- and far-future events is among the most fundamental computations the brain performs. Because of the importance of time for prediction and sensorimotor processing, the brain has evolved… read more here.
Keywords: encoding time; time; neural population; population clocks ... See more keywords
Associating Latent Representations With Cognitive Maps via Hyperspherical Space for Neural Population Spikes
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3212997
Abstract: Recently, there has been a focus on drawing progress on representation learning to obtain more identifiable and interpretable latent representations for spike trains, which helps analyze neural population activity and understand neural mechanisms. Most existing… read more here.
Keywords: neural population; space; latent variable; latent representations ... See more keywords
The Population Tracking Model: A Simple, Scalable Statistical Model for Neural Population Data
Sign Up to like & getrecommendations! Published in 2017 at "Neural Computation"
DOI: 10.1162/neco_a_00910
Abstract: Our understanding of neural population coding has been limited by a lack of analysis methods to characterize spiking data from large populations. The biggest challenge comes from the fact that the number of possible network… read more here.
Keywords: population data; statistical model; model; number ... See more keywords
Information-Theoretic Bounds and Approximations in Neural Population Coding
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computation"
DOI: 10.1162/neco_a_01056
Abstract: While Shannon's mutual information has widespread applications in many disciplines, for practical applications it is often difficult to calculate its value accurately for high-dimensional variables because of the curse of dimensionality. This article focuses on… read more here.
Keywords: information; information theoretic; mutual information; neural population ... See more keywords
Targeted dimensionality reduction enables reliable estimation of neural population coding accuracy from trial-limited data
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0271136
Abstract: Rapidly developing technology for large scale neural recordings has allowed researchers to measure the activity of hundreds to thousands of neurons at single cell resolution in vivo. Neural decoding analyses are a widely used tool… read more here.
Keywords: population coding; population; neural population; dimensionality reduction ... See more keywords
Neural Population Dynamics and Cognitive Function
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2020.00050
Abstract: Representations in the brain are encoded as patterns of activity of large populations of neurons. The science of population encoded representations, also known as parallel distributed processing (PDP), achieves neurological verisimilitude and has been able… read more here.
Keywords: neuropsychology; processing; population dynamics; neural population ... See more keywords