Given that brains and computers are similar in many respects, can vast experience in computer engineering help us understand brain design? Here we apply tools developed for physical design of computer chips to understand the layout of the nervous system. Starting with the known wiring diagram of the C. elegans nervous system, we predict the locations of synapses and extent of neurons that minimize the total wiring length. Comparing predicted locations of C. elegans neuronal cell bodies with the actual locations, we find reasonable agreement. Therefore, minimization of wiring length is an important consideration both in chip design and brain architecture. Furthermore, wire length minimization can be used to infer functional roles of neuronal...
Principles of connection minimization in the nervous system apply not only to complete neural system...
Understanding of informational processes in the brain promises significant advances for communicatio...
Nervous systems are information processing networks that evolved by natural selection, whereas very ...
We pursue the hypothesis that neuronal placement in animals minimizes wiring costs for given functio...
It has been suggested that neural systems across several scales of organization show optimal compone...
Using the most recent data on the connectivity of the C. elegans neural network, we find optimal two...
How well do "Save wire" concepts from combinatorial network optimization theory fit as models for b...
SummaryWiring economy has successfully explained the individual placement of neurons in simple nervo...
SummaryWiring economy has successfully explained the individual placement of neurons in simple nervo...
Evolution perfected brain design by maximizing its functionality while minimizing costs associated w...
Wiring a brain presents a formidable problem because neural circuits require an enormous number of f...
The hypothesis is that longrange connections in the brain are a critically constrained resource, he...
It has been suggested that neural systems across several scales of organization show optimal compone...
AbstractWiring a brain presents a formidable problem because neural circuits require an enormous num...
<div><p>(A) Original placement of neurons within rostral ganglia.</p><p>(B) Optimized wire-saving co...
Principles of connection minimization in the nervous system apply not only to complete neural system...
Understanding of informational processes in the brain promises significant advances for communicatio...
Nervous systems are information processing networks that evolved by natural selection, whereas very ...
We pursue the hypothesis that neuronal placement in animals minimizes wiring costs for given functio...
It has been suggested that neural systems across several scales of organization show optimal compone...
Using the most recent data on the connectivity of the C. elegans neural network, we find optimal two...
How well do "Save wire" concepts from combinatorial network optimization theory fit as models for b...
SummaryWiring economy has successfully explained the individual placement of neurons in simple nervo...
SummaryWiring economy has successfully explained the individual placement of neurons in simple nervo...
Evolution perfected brain design by maximizing its functionality while minimizing costs associated w...
Wiring a brain presents a formidable problem because neural circuits require an enormous number of f...
The hypothesis is that longrange connections in the brain are a critically constrained resource, he...
It has been suggested that neural systems across several scales of organization show optimal compone...
AbstractWiring a brain presents a formidable problem because neural circuits require an enormous num...
<div><p>(A) Original placement of neurons within rostral ganglia.</p><p>(B) Optimized wire-saving co...
Principles of connection minimization in the nervous system apply not only to complete neural system...
Understanding of informational processes in the brain promises significant advances for communicatio...
Nervous systems are information processing networks that evolved by natural selection, whereas very ...