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Most models of neurons incorporate a capacitor to account for the marked capacitive behavior exhibited by the cell membrane. However, such capacitance is widely considered constant, thereby neglecting the possible effects of time-dependent…

Neurons and Cognition · Quantitative Biology 2025-12-29 Matías Courdurier , Leonel E. Medina , Esteban Paduro

In studies of the visual system as well as in computer vision, the focus is often on contrast edges. However, the primate visual system contains a large number of cells that are insensitive to spatial contrast and, instead, respond to…

Neurons and Cognition · Quantitative Biology 2021-03-30 Michael Schmuker , Rüdiger Kupper , Ad Aertsen , Thomas Wachtler , Marc-Oliver Gewaltig

Central neurons operate in a regime of constantly fluctuating conductances, induced by thousands of presynaptic cells. Channelrhodopsins have been almost exclusively used to imprint a fixed spike pattern by sequences of brief…

The selective insertion of foreign materials, such as fluorescent markers or plasmids, into living cells has been a challenging problem in cell biology.However, it is often necessary that researchers insert such materials into cells for…

Cell Behavior · Quantitative Biology 2016-02-26 Kamal Dhakal , Bryan Black , Samarendra Mohanty

Imaging neuronal activity non-invasively in vivo is of tremendous interest, but current imaging techniques lack either functional contrast or necessary microscopic resolution. The retina is the only part of the central nervous system (CNS)…

Synthetic reverberating activity patterns are experimentally generated by stimulation of a subset of neurons embedded in a spontaneously active network of cortical cells in-vitro. The neurons are artificially connected by means of…

Neurons and Cognition · Quantitative Biology 2012-03-27 Roni Vardi , Avner Wallach , Evi Kopelowitz , Moshe Abeles , Shimon Marom , Ido Kanter

The structure of the axon-dendrite connections of neurons of the brain creates a rich spatial structure in which provided various combinations of signals surrounding neurons. Structure of dendritic trees and shape of dendritic spines allow…

Artificial Intelligence · Computer Science 2014-07-25 Alexey Redozubov

Deep learning has seen remarkable developments over the last years, many of them inspired by neuroscience. However, the main learning mechanism behind these advances - error backpropagation - appears to be at odds with neurobiology. Here,…

Neurons and Cognition · Quantitative Biology 2018-10-29 João Sacramento , Rui Ponte Costa , Yoshua Bengio , Walter Senn

Respiration is an essential involuntary function necessary for survival. This poses a challenge for the control of breathing. The preB\"otzinger complex (preB\"otC) is a heterogeneous neuronal network responsible for driving the inspiratory…

Neurons and Cognition · Quantitative Biology 2026-04-09 Sreshta Venkatakrishnan , Andrew K. Tryba , Alfredo J. Garcia , Yangyang Wang

Many neurons in the visual cortex are orientation-selective, increase their firing rate with contrast and are modulated by attention. What is the cortical circuit that underlies these computations? We examine how synchrony can be modulated…

Neurons and Cognition · Quantitative Biology 2007-05-23 Paul H. E. Tiesinga , Calin I. Buia

Thalamic relay cells fire action potentials that transmit information from retina to cortex. The amount of information that spike trains encode is usually estimated from the precision of spike timing with respect to the stimulus. Sensory…

We use a computational model to propose a physiological mechanism by which transient control of beta oscillations in the indirect pathway of the basal ganglia is orchestrated at the cellular level. Our model includes a simple and robust…

Neurons and Cognition · Quantitative Biology 2013-11-12 Julie Dethier , Guillaume Drion , Alessio Franci , Rodolphe Sepulchre

For most animal species, quick and reliable identification of visual objects is critical for survival. This applies also to rodents, which, in recent years, have become increasingly popular models of visual functions. For this reason in…

Computer Vision and Pattern Recognition · Computer Science 2018-10-03 Sebastiano Vascon , Ylenia Parin , Eis Annavini , Mattia D'Andola , Davide Zoccolan , Marcello Pelillo

Recent advances in large language models (LLMs) have led to the development of multimodal LLMs (MLLMs) in the fields of natural language processing (NLP) and computer vision. Although these models allow for integrated visual and language…

Artificial Intelligence · Computer Science 2025-04-01 Yugen Sato , Tomohiro Takagi

The neural networks of the brain are capable of learning statistical input regularities on the basis of synaptic learning, functional integration into increasingly larger, interconnected neural assemblies, and self organization. This self…

Robotics · Computer Science 2022-06-10 Birgitta Dresp-Langley

Classification of biological neuron types and networks poses challenges to the full understanding of the brain's organisation and functioning. In this paper, we develop a novel objective classification model of biological neuronal types and…

Neurons and Cognition · Quantitative Biology 2020-03-31 Michael Taynnan Barros , Harun Siljak , Peter Mullen , Constantinos Papadias , Jari Hyttinen , Nicola Marchetti

Living systems are capable of locomotion, reconfiguration, and replication. To perform these tasks, cells spatiotemporally coordinate the interactions of force-generating, "active" molecules that create and manipulate non-equilibrium…

Soft Condensed Matter · Physics 2019-08-28 Tyler D. Ross , Heun Jin Lee , Zijie Qu , Rachel A. Banks , Rob Phillips , Matt Thomson

The serotonergic system modulates brain processes via functionally distinct subpopulations of neurons with heterogeneous properties, including their electrophysiological activity. In extracellular recordings, serotonergic neurons to be…

Neurons and Cognition · Quantitative Biology 2024-05-10 Daniele Corradetti , Alessandro Bernardi , Renato Corradetti

The brain is a complex organ characterized by heterogeneous patterns of structural connections supporting unparalleled feats of cognition and a wide range of behaviors. New noninvasive imaging techniques now allow these patterns to be…

Neurons and Cognition · Quantitative Biology 2020-04-03 Christopher W. Lynn , Danielle S. Bassett

Recent developments in high throughput profiling of individual neurons have spurred data driven exploration of the idea that there exist natural groupings of neurons referred to as cell types. The promise of this idea is that the immense…

Neurons and Cognition · Quantitative Biology 2019-11-14 Rohan Gala , Nathan Gouwens , Zizhen Yao , Agata Budzillo , Osnat Penn , Bosiljka Tasic , Gabe Murphy , Hongkui Zeng , Uygar Sümbül