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How the very first nervous systems evolved remains a fundamental open question. Molecular and genomic techniques have revolutionized our knowledge of the molecular ingredients behind this transition but not yet provided a clear picture of…

神经元与认知 · 定量生物学 2017-10-31 Ronald A. J. van Elburg , Oltman O. de Wiljes , Michael Biehl , Fred A. Keijzer

Neuronal networks constitute a special class of dynamical systems, as they are formed by individual geometrical components, namely the neurons. In the existing literature, relatively little attention has been given to the influence of…

神经元与认知 · 定量生物学 2015-05-13 Sebastian Ahnert , Luciano da Fontoura Costa

A central goal of evolutionary biology is to explain the origins and distribution of diversity across life. Beyond species or genetic diversity, we also observe diversity in the circuits (genetic or otherwise) underlying complex functional…

种群与进化 · 定量生物学 2018-06-06 Ali Tehrani-Saleh , Thomas LaBar , Christoph Adami

Neocortical neurons have thousands of excitatory synapses. It is a mystery how neurons integrate the input from so many synapses and what kind of large-scale network behavior this enables. It has been previously proposed that non-linear…

神经元与认知 · 定量生物学 2016-04-25 Jeff Hawkins , Subutai Ahmad

The nematode Caenorhabditis elegans, with information on neural connectivity, three-dimensional position and cell linage provides a unique system for understanding the development of neural networks. Although C. elegans has been widely…

生物物理 · 物理学 2011-01-17 Sreedevi Varier , Marcus Kaiser

In both neuroscience and artificial intelligence, popular functional frameworks and neural network formulations operate by making use of extrinsic error measurements and global learning algorithms. Through a set of conjectures based on…

神经元与认知 · 定量生物学 2026-02-18 Linus Mårtensson , Jonas M. D. Enander , Udaya B. Rongala , Henrik Jörntell

Neurons in the brain are often finely tuned for specific task variables. Moreover, such disentangled representations are highly sought after in machine learning. Here we mathematically prove that simple biological constraints on neurons,…

神经元与认知 · 定量生物学 2023-04-04 James C. R. Whittington , Will Dorrell , Surya Ganguli , Timothy E. J. Behrens

The visual system is hierarchically organized to process visual information in successive stages. Neural representations vary drastically across the first stages of visual processing: at the output of the retina, ganglion cell receptive…

神经元与认知 · 定量生物学 2019-01-07 Jack Lindsey , Samuel A. Ocko , Surya Ganguli , Stephane Deny

Memories in the brain are separated in two categories: short-term and long-term memories. Long-term memories remain for a lifetime, while short-term ones exist from a few milliseconds to a few minutes. Within short-term memory studies,…

神经与进化计算 · 计算机科学 2014-11-26 Julien Hubert , Takashi Ikegami

The brain is composed of billions of neurons with virtually endless morphologies and ion channel compositions, resulting in unique extracellular waveforms. Nevertheless, almost all neuronal morphologies can be reduced to a simple…

神经元与认知 · 定量生物学 2026-01-12 Jérémie Sibille , Kai Lun Teh , Alexandra Tzilivaki , Dietmar Schmitz , Paula T. Kuokkanen

Organoids are prototypes of human organs derived from cultured human stem cells. They provide a reliable and accurate experimental model to study the physical mechanisms underlying the early developmental stages of human organs…

软凝聚态物质 · 物理学 2020-02-12 Valentina Balbi , Michel Destrade , Alain Goriely

The brain did not develop a dedicated device for reasoning. This fact bears dramatic consequences. While for perceptuo-motor functions neural activity is shaped by the input's statistical properties, and processing is carried out at high…

神经元与认知 · 定量生物学 2015-04-21 David Papo

We offer a general theoretical framework for brain and behavior that is evolutionarily and computationally plausible. The brain in our abstract model is a network of nodes and edges. Although it has some similarities to standard neural…

人工智能 · 计算机科学 2022-04-12 Joseph Y. Halpern , Arnon Lotem

Neural codes appear efficient. Naturally, neuroscientists contend that an efficient process is responsible for generating efficient codes. They argue that natural selection is the efficient process that generates those codes. Although…

神经元与认知 · 定量生物学 2022-03-21 Han Kim

Neural synchronization is believed to be critical for many brain functions. It frequently exhibits temporal variability, but it is not known if this variability has a specific temporal patterning. This study explores these…

神经元与认知 · 定量生物学 2013-03-11 Sungwoo Ahn , Leonid L. Rubchinsky

The neurons of artificial neural networks were originally invented when much less was known about biological neurons than is known today. Our work explores a modification to the core neuron unit to make it more parallel to a biological…

神经与进化计算 · 计算机科学 2025-01-31 Rorry Brenner , Laurent Itti

Advances in neural recording methods enable sampling from populations of thousands of neurons during the performance of behavioral tasks, raising the question of how recorded activity relates to the theoretical models of computations…

神经元与认知 · 定量生物学 2020-07-01 Audrey J. Sederberg , Ilya Nemenman

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…

人工智能 · 计算机科学 2014-07-25 Alexey Redozubov

Neurons in the visual cortex are correlated in their variability. The presence of correlation impacts cortical processing because noise cannot be averaged out over many neurons. In an effort to understand the functional purpose of…

机器学习 · 计算机科学 2018-04-04 Shamak Dutta , Bryan Tripp , Graham Taylor

In recent years, several studies have provided insight on the functioning of the brain which consists of neurons and form networks via interconnection among them by synapses. Neural networks are formed by interconnected systems of neurons,…

神经元与认知 · 定量生物学 2021-01-22 Martin C. Nwadiugwu
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