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Recurrent neural networks (RNNs) are powerful dynamical models, widely used in machine learning (ML) and neuroscience. Prior theoretical work has focused on RNNs with additive interactions. However, gating - i.e. multiplicative -…

Disordered Systems and Neural Networks · Physics 2021-12-02 Kamesh Krishnamurthy , Tankut Can , David J. Schwab

Neurons in auto-regressive language models like GPT-2 can be interpreted by analyzing their activation patterns. Recent studies have shown that techniques such as dictionary learning, a form of post-hoc sparse coding, enhance this…

Computation and Language · Computer Science 2025-02-28 Hao Bai , Yi Ma

Control of the cytoskeleton and mechanical contacts with the extracellular environment are essential component of motility in eukaryotic cells. In the absence of signals, cells continuously rebuild the cytoskeleton and periodically extend…

Cell Behavior · Quantitative Biology 2013-09-27 Varunyu Khamviwath , Hans G. Othmer

Gating mechanisms are widely used in neural network models, where they allow gradients to backpropagate more easily through depth or time. However, their saturation property introduces problems of its own. For example, in recurrent models…

Neural and Evolutionary Computing · Computer Science 2020-06-22 Albert Gu , Caglar Gulcehre , Tom Le Paine , Matt Hoffman , Razvan Pascanu

Actin is a globular protein which forms long polar filaments in eukaryotic. The actin filaments play roles of cytoskeleton, motility units , information processing and learning. We model actin filament as a double chain of finite state…

Emerging Technologies · Computer Science 2016-03-23 Ramon Alonso-Sanz , Andrew Adamatzky

To establish the relationship between locomotory behavior and dynamics of neural circuits in the nematode C. elegans we combined molecular and theoretical approaches. In particular, we quantitatively analyzed the motion of C. elegans with…

Neurons and Cognition · Quantitative Biology 2008-06-10 Jan Karbowski , Gary Schindelman , Chris J. Cronin , Adeline Seah , Paul W. Sternberg

Neuropeptides, members of a large and evolutionarily ancient family of proteinaceous cell-cell signaling molecules, are widely recognized as extremely potent regulators of brain function and behavior. At the cellular level, neuropeptides…

Neurons and Cognition · Quantitative Biology 2020-04-20 Stephen J. Smith , Michael Hawrylycz , Jean Rossier , Uygar Sümbül

Gene regulation in higher eukaryotes involves a complex interplay between the gene proximal promoter and distal genomic elements (such as enhancers) which work in concert to drive spatio-temporal expression. The experimental…

Genomics · Quantitative Biology 2008-03-24 Arvind Rao , Alfred O. Hero , David J. States , James Douglas Engel

Sensory receptor neurons match their dynamic range to ecologically relevant stimulus intensities. How this tuning is achieved is poorly understood in most receptors. We show that in the C. elegans URX O2 sensing neurons two putative…

Neurons and Cognition · Quantitative Biology 2022-10-12 Shigekazu Oda , Yu Toyoshima , Mario de Bono

The thalamus is the major gate to the cortex and its contribution to cortical receptive field properties is well established. Cortical feedback to the thalamus is, in turn, the anatomically dominant input to relay cells, yet its influence…

Biological Physics · Physics 2007-05-23 Ulrich Hillenbrand , J. Leo van Hemmen

Flexible cognition requires the ability to rapidly detect systematic functions of variables and guide future behavior based on predictions. The model described here proposes a potential framework for patterns of neural activity to detect…

Neurons and Cognition · Quantitative Biology 2018-10-17 Michael E. Hasselmo

The proper functioning of the nervous system depends critically on the intricate network of synaptic connections that are generated during the system development. During the network formation, the growth cones migrate through the embryonic…

Disordered Systems and Neural Networks · Physics 2007-05-23 Ronen Segev , Eshel Ben-Jacob

The microtubule cytoskeleton is comprised of dynamic, polarized filaments that facilitate transport within the cell. Polarized microtubule arrays are key to facilitating cargo transport in long cells such as neurons. Microtubules also…

Quantitative Methods · Quantitative Biology 2025-09-01 Hannah G. Scanlon , Gibarni Mahata , Anna C. Nelson , Scott A. McKinley , Melissa M. Rolls , Maria-Veronica Ciocanel

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

The emerging field of neuromorphic computing for edge control applications poses the need to quantitatively estimate and limit the number of spiking neurons, to reduce network complexity and optimize the number of neurons per core and…

Systems and Control · Electrical Eng. & Systems 2025-07-08 Shreyan Banerjee , Luna Gava , Aasifa Rounak , Vikram Pakrashi

Topological edge states are an attractive starting point for post-CMOS device concepts, but turning them into elementary logic still requires simple architectures with a clear physical mechanism. Here we investigate binary logic in…

Mesoscale and Nanoscale Physics · Physics 2026-04-29 K. Zberecki

Graphene has the potential to make a very significant impact on society, with important applications in the biomedical field. The possibility to engineer graphene-based medical devices at the neuronal interface is of particular interest,…

How molecular motors like Kinesin regulates the affinity to the rail protein in the process of ATP hydrolysis remains to be uncovered. To understand the regulation mechanism, we investigate the structural fluctuation of KIF1A in different…

Biomolecules · Quantitative Biology 2008-02-04 Ryo Kanada , Fumiko Takagi , Macoto Kikuchi

A salient feature of prefrontal cortex organization is the vast diversity of cell types that support the temporal integration of events required for sculpting future responses. A major obstacle in understanding the routing of information…

Neurons and Cognition · Quantitative Biology 2012-04-04 Michael V. Baratta , Shinya Nakamura , Peter Dobelis , Matthew B. Pomrenze , Samuel D. Dolzani , Donald C. Cooper

In this work we study the excitatory AMPA, and NMDA, and inhibitory GABAA receptor mediated dynamical changes in neuronal networks of neonatal rat cortex in vitro. Extracellular network-wide activity was recorded with 59 planar electrodes…

Neurons and Cognition · Quantitative Biology 2018-02-02 H. Teppola , S. Okujeni , M. -L. Linne , U. Egert