Search Results - neuronal coding and decoding*

Proportional Integral Synchronization Control for Coupled Neural Networks: A Coding‐Decoding Scheme by Guo, Xinyi, Wang, Yongqian, Li, Feng, Shen, Hao

“… In addition, considering the limited communication bandwidth, the coding‐decoding scheme is adopted to relieve the bandwidth pressure and improve transmission efficiency effectively…”
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Coding–decoding-based synchronization of Markov jump neural networks with PDT switched topologies by Yang, Jian, Xing, Mengping, Lou, Jungang, Lu, Jianquan

“… and controller is subject to coding–decoding communication protocol. The variation of network parameters is governed by a Markov chain while a set of pre-known persistent…”
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Bayesian encoding and decoding as distinct perspectives on neural coding by Lange, Richard D., Shivkumar, Sabyasachi, Chattoraj, Ankani, Haefner, Ralf M.

“… Here, we identify one such unstated difference: some theories ask how neural circuits could recover information about the world from sensory neural activity (Bayesian decoding…”
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Ca(2+) coding and decoding strategies for the specification of neural and renal precursor cells during development by Moreau, Marc, Néant, Isabelle, Webb, Sarah E, Miller, Andrew L, Riou, Jean-François, Leclerc, Catherine

“… In this review, we compare the Ca(2+) signalling events that appear to be one of the first steps in initiating and regulating both neural determination (neural induction…”
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A Comparison of Neural Decoding Methods and Population Coding Across Thalamo-Cortical Head Direction Cells by Xu, Zishen, Wu, Wei, Winter, Shawn S., Mehlman, Max L., Butler, William N., Simmons, Christine M., Harvey, Ryan E., Berkowitz, Laura E., Chen, Yang, Taube, Jeffrey S., Wilber, Aaron A., Clark, Benjamin J.

“… While a number of methods in neural decoding have been developed to assess the dynamics of spatial signals within thalamo-cortical regions, studies conducting a quantitative comparison of machine…”
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Prospects for Optogenetic Augmentation of Brain Function by Jarvis, Sarah, Schultz, Simon R.

“…The ability to optically control neural activity opens up possibilities for the restoration of normal function following neurological disorders…”
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Stimulus-independent neural coding of event semantics: Evidence from cross-sentence fMRI decoding by Asyraff, Aliff, Lemarchand, Rafael, Tamm, Andres, Hoffman, Paul

“… Here we investigated whether this was true for neural representations of simple events described using sentences…”
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Population coding and decoding in a neural field: a computational study by Wu, Si, Amari, Shun-Ichi, Nakahara, Hiroyuki

“…This study uses a neural field model to investigate computational aspects of population coding and decoding when the stimulus is a single variable…”
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A Simple Self-Decoding Model for Neural Coding by Bui, Thach V.

“…We propose a simple but novel self-decoding model for neural coding based on the principle that the neuron body represents ongoing stimulus while dendrites are used to store that stimulus as a memory…”
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Ca2+ coding and decoding strategies for the specification of neural and renal precursor cells during development by Moreau, Marc, Néant, Isabelle, Webb, Sarah E., Miller, Andrew L., Riou, Jean-François, Leclerc, Catherine

“…+ signalling events in neural determination and kidney field specification.•the transcriptional control of gene expression during neurogenesis and nephrogenesis might be directly controlled by Ca2…”
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Neural coding and decoding: communication channels and quantization by Dimitrov, A.G., Miller, J.P.

“…We present a novel analytical approach for studying neural encoding. As a first step we model a neural sensory system as a communication channel…”
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Reduced temporal and spatial stability of neural activity patterns predict cognitive control deficits in children with ADHD by Gao, Zhiyao, Duberg, Katherine, Warren, Stacie L., Zheng, Li, Hinshaw, Stephen P., Menon, Vinod, Cai, Weidong

“…), focusing on trial-level variability of neural coding. Using fMRI, we apply a computational approach to single-trial neural decoding on a cued stop-signal task, probing proactive and reactive control within the dual control model…”
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Minimal Neural Recruitment from Stevens Coding and Fechner Decoding in the Brain by Pradhan, Rajat Kumar

“… coding is assumed to obey Stevens' power law, while the second one, the decoding from the neural correlate…”
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Modeling stimulus-dependent variability improves decoding of population neural responses by Ghanbari, Abed, Lee, Christopher M, Read, Heather L, Stevenson, Ian H

“… Here we demonstrate how taking variability into account can improve neural decoding. In a typical neural coding model spike counts are assumed to be Poisson…”
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Robust Transcoding Sensory Information With Neural Spikes by Xu, Qi, Shen, Jiangrong, Ran, Xuming, Tang, Huajin, Pan, Gang, Liu, Jian K.

“…Neural coding, including encoding and decoding, is one of the key problems in neuroscience for understanding how the brain uses neural signals to relate sensory perception and motor behaviors with neural systems…”
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Bayesian decoding and its application in reading out spatial memory from neural ensembles by Wang, Ning, Deng, Xinyi, Zhu, Nan, Wang, Xueling, Wang, Yimeng, Sun, Biao, Zheng, Chenguang

“… Bayesian frameworks are powerful tools for reconstructing such "mind travel". In this article, we focus on the principles and advances of Bayesian decoding methods for extracting spatial memory information from neural ensembles…”
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TGDAUNet: Transformer and GCNN based dual-branch attention UNet for medical image segmentation by Song, Pengfei, Li, Jinjiang, Fan, Hui, Fan, Linwei

“… in medical segmentation of images, especially in combination with convolutional neural networks with coding…”
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Neural Coding and Decoding with Spike Times

“…Examples ... 43 2.4 Tempotron Performance in Latency Code ... 452.4.1 Statistics of Postsynaptic Potential ...46 2.4.2 Capacity ...48 2.4.3 Geometry of the…”
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A simple self-decoding model for neural coding by Bui, Thach V

“…Neural coding is an important tool to discover the inner workings of mind. In this work, we propose and consider a simple but novel self-decoding model…”
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Model-based decoding, information estimation, and change-point detection techniques for multineuron spike trains by Pillow, Jonathan W, Ahmadian, Yashar, Paninski, Liam

“… Decoding methods, which provide an explicit means for reading out the information contained in neural spike responses, offer a powerful set of tools for studying the neural coding problem…”
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