Information theory in neuroscience

AG Dimitrov, AA Lazar, JD Victor - Journal of computational neuroscience, 2011 - Springer
Information Theory started and, according to some, ended with Shannon's seminal paper “A
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 …

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 …

Sparse identification of contrast gain control in the fruit fly photoreceptor and amacrine cell layer

AA Lazar, NH Ukani, Y Zhou - The Journal of Mathematical Neuroscience, 2020 - Springer
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 …

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 …

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 …

Reconstructing natural visual scenes from spike times

AA Lazar, Y Zhou - Proceedings of the IEEE, 2014 - ieeexplore.ieee.org
In this paper, we investigate neural circuit architectures encoding natural visual scenes 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 …

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 …

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 …