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Superconducting optoelectronic loop neurons are a class of circuits potentially conducive to networks for large-scale artificial cognition. These circuits employ superconducting components including single-photon detectors, Josephson…

Neural and Evolutionary Computing · Computer Science 2022-10-19 Jeffrey M. Shainline , Bryce A. Primavera , Saeed Khan

The actin cytoskeleton of cells is in continuous motion due to both polymerization of new filaments and their contraction by myosin II molecular motors. Through adhesion to the substrate, such intracellular flow can be converted into cell…

Subcellular Processes · Quantitative Biology 2021-08-11 Oliver M. Drozdowski , Falko Ziebert , Ulrich S. Schwarz

When inhibitory neurons constitute about 40% of neurons they could have an important antinociceptive role, as they would easily regulate the level of activity of other neurons. We consider a simple network of cortical spiking neurons with…

Neurons and Cognition · Quantitative Biology 2014-01-28 Fernando Montani , Emilia B. Deleglise , Osvaldo A. Rosso

Robotic navigation has historically struggled to reconcile reactive, sensor-based control with the decisive capabilities of model-based planners. This duality becomes critical when the absence of a predominant option among goals leads to…

Robotics · Computer Science 2026-02-06 Chuwei Wang , Eduardo Sebastián , Amanda Prorok , Anastasia Bizyaeva

Previous studies have demonstrated the importance of the primary sensory cortex for the detection, discrimination and awareness of visual stimuli, but it is unknown how neuronal populations in this area process detected and undetected…

Neurons and Cognition · Quantitative Biology 2015-12-03 Jorrit S. Montijn , Pieter M. Goltstein , Cyriel M. A. Pennartz

The hippocampus has the capacity for reactivating recently acquired memories [1-3] and it is hypothesized that one of the functions of sleep reactivation is the facilitation of consolidation of novel memory traces [4-11]. The dynamic and…

Neurons and Cognition · Quantitative Biology 2015-06-26 Piotr Jablonski , Gina R. Poe , Michal Zochowski

Fluidic iontronics offer a unique capability for emulating the chemical processes found in neurons. We extract multiple distinct chemically regulated synaptic features from an experimentally accessible conical microfluidic channel carrying…

Soft Condensed Matter · Physics 2026-02-13 T. M. Kamsma , M. S. Klop , W. Q. Boon , C. Spitoni , B. Rueckauer , R. van Roij

The increasing interest in photoactivated proteins as natural replacement of standard inorganic materials in photocells drives to the compared analysis of bacteriorhodopsin and proteorhodopsin, two widely diffused proteins belonging to the…

Biological Physics · Physics 2015-06-16 E Alfinito , J Pousset , L Reggiani , K Lee

We propose a unified mechanism that reproduces the sequence of dynamical transitions observed during somitogenesis, the process of body segmentation during embryonic development, that is invariant across all vertebrate species. This is…

Tissues and Organs · Quantitative Biology 2024-06-11 Chandrashekar Kuyyamudi , Shakti N. Menon , Sitabhra Sinha

Early processing of visual information takes place in the human retina. Mimicking neurobiological structures and functionalities of the retina provide a promising pathway to achieving vision sensor with highly efficient image processing.…

Can neural networks learn goal-directed behaviour using similar strategies to the brain, by combining the relationships between the current state of the organism and the consequences of future actions? Recent work has shown that recurrent…

Neurons and Cognition · Quantitative Biology 2021-01-21 Justin Jude , Matthias H. Hennig

This paper predicts the ability to externally control the firing times of a cortical neuron whose behavior follows the Izhikevich neuron model. The Izhikevich neuron model provides an efficient and biologically plausible method to track a…

Neurons and Cognition · Quantitative Biology 2018-09-06 Adam Noel , Shayan Monabbati , Dimitrios Makrakis , Andrew W. Eckford

Optical coherence tomography (OCT) is a commonly-used method of extracting high resolution retinal information. Moreover there is an increasing demand for the automated retinal layer segmentation which facilitates the retinal disease…

Image and Video Processing · Electrical Eng. & Systems 2020-09-30 Zeyu Fu , Yang Sun , Xiangyu Zhang , Scott Stainton , Shaun Barney , Jeffry Hogg , William Innes , Satnam Dlay

Recent evidence suggests that neural information is encoded in packets and may be flexibly routed from region to region. We have hypothesized that neural circuits are split into sub-circuits where one sub-circuit controls information…

Neurons and Cognition · Quantitative Biology 2017-03-17 Yuxiu Shao , Andrew T. Sornborger , Louis Tao

We give a constructive method for realizing an arbitrary directed graph (with no one-cycles) as a heteroclinic or an excitable dynamic network in the phase space of a system of coupled cells of two types. In each case, the system is…

Adaptation and Self-Organizing Systems · Physics 2015-12-17 Peter Ashwin , Claire Postlethwaite

We develop a matrix-based approach to predict and verify indirect interactions in gene and protein regulatory networks. It is based on the approximate transitivity of indirect regulations (e.g. A regulates B and B regulates C often implies…

Quantitative Methods · Quantitative Biology 2007-11-27 Koon-Kiu Yan , Sergei Maslov , Ilya Mazo , Anton Yuryev

We present a microscopic approach for the coupling of cortical activity, as resulting from proper dipole currents of pyramidal neurons, to the electromagnetic field in extracellular fluid in presence of diffusion and Ohmic conduction.…

Neurons and Cognition · Quantitative Biology 2013-10-08 Peter beim Graben , Serafim Rodrigues

Channelrhodopsins-2 (ChR2) are a class of light sensitive proteins that offer the ability to use light stimulation to regulate neural activity with millisecond precision. In order to address the limitations in the efficacy of the wild-type…

Neurons and Cognition · Quantitative Biology 2013-04-23 Roxana A. Stefanescu , R. G. Shivakeshavan , Pramod P. Khargonekar , Sachin S. Talathi

Much of the information processing performed by a neuron occurs in the dendritic tree. For neural systems using light for communication, it is advantageous to convert signals to the electronic domain at synaptic terminals so dendritic…

Neural and Evolutionary Computing · Computer Science 2019-04-08 Jeffrey M. Shainline

Every day, the human brain processes an immense volume of visual information, relying on intricate neural mechanisms to perceive and interpret these stimuli. Recent breakthroughs in functional magnetic resonance imaging (fMRI) have enabled…

Computer Vision and Pattern Recognition · Computer Science 2023-05-22 Matteo Ferrante , Furkan Ozcelik , Tommaso Boccato , Rufin VanRullen , Nicola Toschi