Abstract: In recent years, Feynman diagrams have been increasingly applied to the study of spike trains in neuroscience. In particular, they have been used in the context of spike-based NEvents, NEventSpace, and NeuronX theories, which treat spikes as an alphabet of elementary events that can be combined to form more complex structures. Feynman diagrams provide a powerful tool for representing the possible ways in which NEvents can be combined, and can help neuroscientists gain insights into the patterns of neural activity that underlie various cognitive functions. In this article, we discuss the use of Feynman diagrams in the context of NEventSpace, and explore their potential for advancing our understanding of the brain
Abstract Complex neurodynamical systems are quite difficult to analyze and understand. New type of p...
Abstract: Tree-like structures are ubiquitous in nature. In particular, neuronal axons and dendrites...
In the context of this entry, the model-based development of stimulation algorithms designatesa proc...
INTRODUCTION Despite many attempts in recent years, e.g. (1-4), there is still no generally accepted...
The brain is a vastly complex and interconnected information processing network1,2. In humans, this ...
The brain is a large-scale complex network often referred to as the “connectome”. Exploring the dyna...
Computational neuroscience is an interdisciplinary field that incorporates an analysis of brain func...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
International audienceThe CNS, like all complex systems, features a large variety of spatial and tem...
The true revolution in the age of digital neuroanatomy is the ability to extensively quantify anatom...
The different chapters discuss a wide range of concepts, techniques, and strategies of how to invest...
Book Summary: Computational models of neural networks have proven insufficient to accurately model b...
Abstract: The coding mechanism of sensory memory on the neuron scale is one of the most important qu...
Abstract: Problem statement: The aphasia is one of human language and action related brain associati...
The aim of this book is to describe the types of computation that can be performed by biologically p...
Abstract Complex neurodynamical systems are quite difficult to analyze and understand. New type of p...
Abstract: Tree-like structures are ubiquitous in nature. In particular, neuronal axons and dendrites...
In the context of this entry, the model-based development of stimulation algorithms designatesa proc...
INTRODUCTION Despite many attempts in recent years, e.g. (1-4), there is still no generally accepted...
The brain is a vastly complex and interconnected information processing network1,2. In humans, this ...
The brain is a large-scale complex network often referred to as the “connectome”. Exploring the dyna...
Computational neuroscience is an interdisciplinary field that incorporates an analysis of brain func...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
International audienceThe CNS, like all complex systems, features a large variety of spatial and tem...
The true revolution in the age of digital neuroanatomy is the ability to extensively quantify anatom...
The different chapters discuss a wide range of concepts, techniques, and strategies of how to invest...
Book Summary: Computational models of neural networks have proven insufficient to accurately model b...
Abstract: The coding mechanism of sensory memory on the neuron scale is one of the most important qu...
Abstract: Problem statement: The aphasia is one of human language and action related brain associati...
The aim of this book is to describe the types of computation that can be performed by biologically p...
Abstract Complex neurodynamical systems are quite difficult to analyze and understand. New type of p...
Abstract: Tree-like structures are ubiquitous in nature. In particular, neuronal axons and dendrites...
In the context of this entry, the model-based development of stimulation algorithms designatesa proc...