Information theory in neuroscience
Information Theory started and, according to some, ended with Shannon's seminal paper “A
Mathematical Theory of Communication”(Shannon 1948). Because its significance and …
Mathematical Theory of Communication”(Shannon 1948). Because its significance and …
Time-based compression and classification of heartbeats
AS Alvarado, C Lakshminarayan… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
Heart function measured by electrocardiograms (ECG) is crucial for patient care. ECG
generated waveforms are used to find patterns of irregularities in cardiac cycles in patients …
generated waveforms are used to find patterns of irregularities in cardiac cycles in patients …
Integrate and fire pulse train automaton for QRS detection
G Nallathambi, JC Príncipe - IEEE Transactions on Biomedical …, 2013 - ieeexplore.ieee.org
Monitoring heart activity from electrocardiograms (ECG) is crucial to avoid unnecessary
fatalities; therefore, detection of QRS complex is fundamental to automated ECG monitoring …
fatalities; therefore, detection of QRS complex is fundamental to automated ECG monitoring …
Sparse identification of contrast gain control in the fruit fly photoreceptor and amacrine cell layer
The fruit fly's natural visual environment is often characterized by light intensities ranging
across several orders of magnitude and by rapidly varying contrast across space and time …
across several orders of magnitude and by rapidly varying contrast across space and time …
Addition of visual noise boosts evoked potential-based brain-computer interface
J Xie, G Xu, J Wang, S Zhang, F Zhang, Y Li, C Han… - Scientific reports, 2014 - nature.com
Although noise has a proven beneficial role in brain functions, there have not been any
attempts on the dedication of stochastic resonance effect in neural engineering applications …
attempts on the dedication of stochastic resonance effect in neural engineering applications …
Spiking neural circuits with dendritic stimulus processors: encoding, decoding, and identification in reproducing kernel Hilbert spaces
AA Lazar, YB Slutskiy - Journal of computational neuroscience, 2015 - Springer
We present a multi-input multi-output neural circuit architecture for nonlinear processing and
encoding of stimuli in the spike domain. In this architecture a bank of dendritic stimulus …
encoding of stimuli in the spike domain. In this architecture a bank of dendritic stimulus …
Reconstructing natural visual scenes from spike times
In this paper, we investigate neural circuit architectures encoding natural visual scenes with
neuron models consisting of dendritic stimulus processors (DSPs) in cascade with …
neuron models consisting of dendritic stimulus processors (DSPs) in cascade with …
Channel identification machines
AA Lazar, YB Slutskiy - Computational Intelligence and …, 2012 - Wiley Online Library
We present a formal methodology for identifying a channel in a system consisting of a
communication channel in cascade with an asynchronous sampler. The channel is modeled …
communication channel in cascade with an asynchronous sampler. The channel is modeled …
Multisensory encoding, decoding, and identification
AA Lazar, Y Slutskiy - Advances in neural information …, 2013 - proceedings.neurips.cc
We investigate a spiking neuron model of multisensory integration. Multiple stimuli from
different sensory modalities are encoded by a single neural circuit comprised of a …
different sensory modalities are encoded by a single neural circuit comprised of a …
Identification of linear and nonlinear sensory processing circuits from spiking neuron data
D Florescu, D Coca - Neural computation, 2018 - ieeexplore.ieee.org
Inferring mathematical models of sensory processing systems directly from input-output
observations, while making the fewest assumptions about the model equations and the …
observations, while making the fewest assumptions about the model equations and the …