Results 121 to 130 of about 63,189 (307)

Preserving neural function under extreme scaling [PDF]

, 2013
Important brain functions need to be conserved throughout organisms of extremely varying sizes. Here we study the scaling properties of an essential component of computation in the brain: the single neuron. We compare morphology and signal propagation of
Cuntz, H., Borst, A., Förstner, F., Bettina Schnell, Georg Ammer, Shamprasad Varija Raghu (351966), Friedrich Forstner (244431), Schnell, B., Bettina Schnell (447694), Borst, Alexander, Alexander Borst, Cuntz, Hermann, Forstner, Friedrich, Hermann Cuntz (32618), Schnell, Bettina, Georg Ammer (447695), Hermann Cuntz, Cuntz, H. ; https://orcid.org/, Raghu, Shamprasad Varija, Raghu, S., Friedrich Forstner, Ammer, Georg, Alexander Borst (32619), Ammer, G., Shamprasad Varija Raghu   +24 more
core   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Task-dependent and independent synchronous activity of monkey hippocampal neurons in real and virtual translocation

Frontiers in Behavioral Neuroscience, 2011
Previous neurophysiological and behavioral studies relate hippocampal functions to place learning and memory, and encoding of task (or context)-specific information.
Etsuro eHori, Eiichi eTabuchi, Eiichi eTabuchi, Nobuhisa eMatsumura, Taketoshi eOno, Hisao eNishijo   +5 more
doaj   +1 more source

Dendritic spines as chemical and electrical compartments : a two-photon imaging study in the hippocampus of the rat [PDF]

, 2008
Most excitatory synapses are located on small dendritic protrusions called spines. So far, the function of dendritic spines is not fully understood. Imaging experiments have shown that spines can compartmentalize second messengers such as Ca2+.
Müller-Grunditz, Åsa
core   +1 more source

SCP‐Pose: Leveraging Structural Consistency Prior Knowledge for Real‐Time Category‐Level 6D Pose Estimation

Advanced Intelligent Systems, EarlyView.
This paper presents a high‐speed object pose estimation method that deconstructs objects into geometric components. Inspired by human cognitive generalization, it detects these primitives and infers the 6D pose from their stable spatial configuration.
Xuyang Li, Mingxuan Yu, Xuemei Xie, Zhaozhuo An, Qiyue Li, Xiaodan Song, Guangming Shi   +6 more
wiley   +1 more source

Local stimulation of pyramidal neurons in deep cortical layers of anesthetized rats enhances cortical visual information processing

Scientific Reports
In the primary visual cortex area V1 activation of inhibitory interneurons, which provide negative feedback for excitatory pyramidal neurons, can improve visual response reliability and orientation selectivity.
Gytis Baranauskas, Kristina Rysevaite-Kyguoliene, Ignas Sabeckis, Tatiana Tkatch, Dainius H. Pauza   +4 more
doaj   +1 more source

Modulatory effects of inhibition on persistent activity in a cortical microcircuit model

Frontiers in Neural Circuits, 2014
Neocortical network activity is generated through a dynamic balance between excitation, provided by pyramidal neurons, and inhibition, provided by interneurons. Imbalance of the excitation/inhibition ratio has been identified in several neuropsychiatric
XANTHIPPI eKONSTANTOUDAKI, XANTHIPPI eKONSTANTOUDAKI, Athanasia ePapoutsi, Athanasia ePapoutsi, Kleanthi eChalkiadaki, Kleanthi eChalkiadaki, Panayiota ePoirazi, Kyriaki eSidiropoulou, Kyriaki eSidiropoulou   +8 more
doaj   +1 more source

Predicting the synaptic information efficacy in cortical layer 5 pyramidal neurons using a minimal integrate-and-fire model

, 2008
Synaptic information efficacy (SIE) is a statistical measure to quantify the efficacy of a synapse. It measures how much information is gained, on the average, about the output spike train of a postsynaptic neuron if the input spike train is known. It is
Häusser, M., Larkum, M.E., London, M.
core  

An Integrated and Robust Deep Learning Framework for Denoising and Analyzing Single‐Cell Spatial Transcriptomics

Advanced Intelligent Systems, EarlyView.
Single‐cell Spatial Transcriptomics Analysis and Denoising Engine is introduced as a unified deep learning framework that jointly performs denoising, clustering, and gene prioritization in spatial transcriptomics. By integrating linear and nonlinear representations within a dual‐channel architecture, it improves robustness and accuracy, uncovers ...
Yaxuan Cui, Yang Cui, Ruheng Wang, Xin Zeng, Zheyong Zhu, Ding Yi, Ruihua Guo, Tetsuya Sakurai, Kenta Nakai, Xiucai Ye, Leyi Wei, Yong Chen   +11 more
wiley   +1 more source

Input-driven components of spike-frequency adaptation can be unmasked in vivo [PDF]

, 2004
Spike-frequency adaptation affects the response characteristics of many sensory neurons, and different biophysical processes contribute to this phenomenon.
Gollisch, Tim, Herz, Andreas V. M.
core   +1 more source