Some Thoughts on Information Processing by the Nervous System

2015 ◽  
pp. 35-42
Author(s):  
W. Reichardt
Keyword(s):  
Nervous System ◽  
Information Processing

Space, Time, and Objects

2009 ◽  
Author(s):  
Rick Grush
Keyword(s):  
Nervous System ◽  
Information Processing ◽  
Basis Function ◽  
Spatial Representation ◽  
Space Time ◽  
Function Model ◽  
Temporal Representation ◽  
Spatiotemporal Trajectories ◽  
Processing Framework

This article outlines a unified information processing framework whose goal is to explain how the nervous system represents space, time, and objects. It explains the concept of the emulation theory of representation and describes an extension of the emulation framework for temporal representation. It discusses Alexandre Pouget's basis function model of spatial representation and describes how to combine the basis function model of spatial representation with the trajectory emulation model of temporal representation to yield an information processing framework that genuinely represents behavioral spatiotemporal trajectories of behavioral objects.

Odor Perception

2012 ◽  
pp. 44-59 ◽  
Author(s):  
Mitsuo Tonoike
Keyword(s):  
Signal Transduction ◽  
Central Nervous System ◽  
Nervous System ◽  
Information Processing ◽  
Non Invasive ◽  
Olfactory Acuity ◽  
Central Regions ◽  
Olfactory Systems ◽  
The Central Nervous System ◽  
The Brain

Though olfaction is one of the necessary senses and indispensable for the maintenance of the life of the animal, the mechanism of olfaction had not yet been understood well compared with other sensory systems such as vision and audition. However, recently, the most basic principle of “signal transduction on the reception and transmission for the odor” has been clarified. Therefore, the important next problem is how the information of odors about is processed in the Central Nervous System (CNS) and how odor is perceived in the human brain. In this chapter, the basic olfactory systems in animal and human are described and examples such as “olfactory acuity, threshold, adaptation, and olfactory disorders” are discussed. The mechanism of olfactory information processing is described under the results obtained by using a few new non-invasive measuring methods. In addition, from a few recent studies, it is shown that olfactory neurophysiological information is passing through some deep central regions of the brain before finally being processed in the orbito-frontal areas.

From double-step and colliding saccades to pointing in abstract space: Toward a basis for analogical transfer

1997 ◽  
Vol 20 (4) ◽  
pp. 745-745 ◽  
Author(s):  
Peter F. Dominey
Keyword(s):  
Nervous System ◽  
Information Processing ◽  
Abstract Space ◽  
Analogical Transfer ◽  
Double Step ◽  
Abstract Spaces

Deictic pointers allow the nervous system to exploit information in a frame that is centered on the object of interest. This processing may take place in visual or haptic space, but the information processing advantages of deictic pointing can also be applied in abstract spaces, providing the basis for analogical transfer. Simulation and behavioral results illustrating this progression from embodiment to abstraction are discussed.

Physics Course on Information Processing in the Nervous System

1974 ◽  
Vol 42 (3) ◽  
pp. 198-201
Author(s):  
Barry Horwitz
Keyword(s):  
Nervous System ◽  
Information Processing ◽  
Physics Course

Review of Introduction to physiological psychology: Information processing in the nervous system.

1975 ◽  
Vol 20 (11) ◽  
pp. 912-913
Author(s):  
PHILIP M. GROVES
Keyword(s):  
Nervous System ◽  
Information Processing ◽  
Physiological Psychology

Gene Regulation Network Use for Information Processing

2011 ◽  
pp. 744-747
Author(s):  
Enrique Fernandez-Blanco ◽  
J. Andrés Serantes
Keyword(s):  
Neural Networks ◽  
Nervous System ◽  
Gene Regulation ◽  
Artificial Neural Networks ◽  
Information Processing ◽  
General Information ◽  
Biological Cells ◽  
Gene Regulation Network ◽  
Regulation Network ◽  
Global Collapse

From the unicellular to the more complex pluricellular organism needs to process the signals from its environment to survive. The computation science has already observed, that fact could be demonstrated remembering the artificial neural networks (ANN). This computation tool is based on the nervous system of the animals, but not only the nervous cells process information in an organism. Every cell has to process the development and functioning plan encoded at its DNA and every one of these cells executes this program in parallel with the others. Another interesting characteristic of natural cells is that they form systems that are tolerant to partial failures: small errors do not induce a global collapse of the system. The present work proposes a model that is based on DNA information processing, but adapting it to general information processing. This model can be based on a set of techniques called Artificial Embryogeny (Stanley K. & Miikkulainen R. 2003) which adapts characteristics from the biological cells to solve different problems.

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